{"id":3157,"date":"2017-02-10T07:44:44","date_gmt":"2017-02-10T07:44:44","guid":{"rendered":"http:\/\/www.vtei.cz\/?p=3157"},"modified":"2024-07-16T11:56:22","modified_gmt":"2024-07-16T10:56:22","slug":"the-importance-of-catchment-characteristics-in-terms-of-intensive-erosion-runoff-formation-threat-level","status":"publish","type":"post","link":"https:\/\/www.vtei.cz\/en\/2017\/02\/the-importance-of-catchment-characteristics-in-terms-of-intensive-erosion-runoff-formation-threat-level\/","title":{"rendered":"The importance of catchment characteristics in terms of intensive erosion runoff formation threat level"},"content":{"rendered":"<h4><i class=\"fa fa-exclamation-circle fa-3x pull-left\"><\/i> This article is available in Czech only. For translation or more information on this topic, please contact author.<\/h4>\n<p>&nbsp;<\/p>\n<h2>Souhrn<\/h2>\n<p>Prost\u0159ednictv\u00edm modelu WaTEM\/SEDEM byla modelov\u00e1na erozn\u00ed ohro\u017eenost obc\u00ed \u010cesk\u00e9 republiky. V\u00a0okol\u00ed ohro\u017een\u00fdch obc\u00ed bylo vyhled\u00e1no 130\u2009000 kritick\u00fdch mikropovod\u00ed, kter\u00e1 byla n\u00e1sledn\u011b rozd\u011blena do p\u011bti kategori\u00ed podle m\u00edry hrozby vzniku intenzivn\u00edho erozn\u00edho odtoku. Modelov\u00e1n\u00ed poskytlo rozs\u00e1hlou datab\u00e1zi t\u00e9m\u011b\u0159 130 tis\u00edc mikropovod\u00ed s\u00a0rizikov\u00fdmi uz\u00e1v\u011brov\u00fdmi profily z\u00a0hlediska produkce sedimentu, klasifikovan\u00fdmi do t\u0159\u00edd jednak podle m\u00edry hrozby transportu sedimentu, jednak podle rizika vzniku \u0161kod v\u00a0intravil\u00e1nu obc\u00ed. Unik\u00e1tn\u00ed datov\u00e1 sada byla pot\u00e9 vyu\u017eita k\u00a0anal\u00fdze, jej\u00edm\u017e c\u00edlem je odpov\u011bd\u011bt na n\u00e1sleduj\u00edc\u00ed ot\u00e1zky. Jak vypad\u00e1 pr\u016fm\u011brn\u00e9 povod\u00ed produkuj\u00edc\u00ed nebezpe\u010dn\u00e9 hodnoty smyvu? Kter\u00e9 jsou kl\u00ed\u010dov\u00e9 parametry pro produkci splavenin a\u00a0jejich transport plo\u0161n\u00fdm a\u00a0soust\u0159ed\u011bn\u00fdm odtokem? Je mo\u017eno spolehliv\u011b identifikovat rizikov\u00fd bod a\u00a0zdrojovou plochu (d\u00edl\u010d\u00ed povod\u00ed) pomoc\u00ed jednoduch\u00fdch metod na z\u00e1klad\u011b v\u0161eobecn\u011b dostupn\u00fdch parametr\u016f? Anal\u00fdza byla zam\u011b\u0159en\u00e1 na v\u00fdznam 11 faktor\u016f popisuj\u00edc\u00edch vyu\u017eit\u00ed \u00fazem\u00ed, morfologick\u00e9 a\u00a0morfometrick\u00e9 charakteristiky povod\u00ed a\u00a0p\u016fdn\u00ed a\u00a0sr\u00e1\u017ekov\u00e9 charakteristiky z\u00a0hlediska jejich vlivu na m\u00edru rizika vzniku erozn\u00edho odtoku. Jako rizikov\u00e1 se ukazuj\u00ed velk\u00e1 povod\u00ed konvergentn\u00edho tvaru s\u00a0v\u00fdrazn\u00fdm sklonem v\u00a0m\u00edstech v\u00a0okol\u00ed uz\u00e1v\u011brov\u00e9ho profilu.<\/p>\n<h2>\u00davod<\/h2>\n<p>Eroze p\u016fdy a\u00a0transport splavenin po p\u0159\u00edvalov\u00fdch sr\u00e1\u017ek\u00e1ch jsou celosv\u011btov\u00fdm probl\u00e9mem, kter\u00fd m\u00e1 za n\u00e1sledek naru\u0161en\u00ed zdroj\u016f v\u00a0krajin\u011b (zhor\u0161en\u00ed kvality orn\u00e9 p\u016fdy a\u00a0vodn\u00edch zdroj\u016f). Z\u00e1rove\u0148 m\u016f\u017ee zp\u016fsobit rozs\u00e1hl\u00e9 \u0161kody na infrastruktu\u0159e obc\u00ed a\u00a0dokonce p\u0159\u00edmo ohro\u017eovat \u017eivoty jejich obyvatel [1]. Ve t\u0159etin\u011b \u010dlensk\u00fdch st\u00e1t\u016f OECD je v\u00edce ne\u017e 20\u00a0% zem\u011bd\u011blsk\u00e9 p\u016fdy ohro\u017eeno st\u0159edn\u00ed a\u017e intenzivn\u00ed eroz\u00ed [2]. Na \u00fazem\u00ed \u010cesk\u00e9 republiky je v\u00a0d\u016fsledku kolektivizace a\u00a0intenzifikace zem\u011bd\u011blstv\u00ed eroz\u00ed ohro\u017eeno nejm\u00e9n\u011b 50\u00a0% zem\u011bd\u011blsk\u00e9 p\u016fdy [3]. Vodn\u00ed toky jsou pak n\u00e1sledn\u011b ohro\u017eeny transportem splavenin. To se projevuje nejen degradac\u00ed zem\u011bd\u011blsk\u00e9 p\u016fdy, vodn\u00edch tok\u016f a\u00a0n\u00e1dr\u017e\u00ed, ale tak\u00e9 zan\u00e1\u0161en\u00edm obc\u00ed a\u00a0po\u0161kozen\u00edm infrastruktury.<\/p>\n<p>S\u00a0c\u00edlem navrhnout koncep\u010dn\u00ed postupy pro hodnocen\u00ed a\u00a0klasifikaci rizikov\u00fdch lokalit ohro\u017een\u00fdch eroz\u00ed p\u016fdy a\u00a0transportem splavenin byl v\u00a0letech 2012\u20132015 \u0159e\u0161en projekt s\u00a0n\u00e1zvem Erozn\u00ed smyv\u00a0\u2013 zv\u00fd\u0161en\u00e9 riziko ohro\u017een\u00ed obyvatel a\u00a0jakosti vody v\u00a0souvislosti s\u00a0o\u010dek\u00e1vanou zm\u011bnou klimatu (projekt Ministerstva vnitra \u010cR s\u00a0\u010d\u00edslem VG20122015092).<\/p>\n<p>St\u011b\u017eejn\u00ed \u010d\u00e1st\u00ed \u0159e\u0161en\u00ed projektu bylo ur\u010den\u00ed kritick\u00fdch bod\u016f na \u00fazem\u00ed cel\u00e9 \u010cesk\u00e9 republiky, kde eroze p\u016fdy a\u00a0transport splavenin ohro\u017euje objekty v\u00a0obc\u00edch, s\u00eddeln\u00ed infrastrukturu, vodn\u00ed zdroje, vodn\u00ed \u00fatvary vyu\u017e\u00edvan\u00e9 k\u00a0rekreaci a\u00a0dal\u0161\u00ed objekty vy\u017eaduj\u00edc\u00ed ochranu. A\u00a0to v\u0161e jak pro sou\u010dasn\u00e9 podm\u00ednky, tak i\u00a0pro podm\u00ednky o\u010dek\u00e1van\u00e9 zm\u011bny klimatu. V\u00fdsledkem je soubor t\u00e9m\u011b\u0159 130\u2009000 lokalit, kter\u00e9 byly ur\u010deny jako potenci\u00e1ln\u011b rizikov\u00e9 s\u00a0r\u016fznou m\u00edrou nebezpe\u010d\u00ed ohro\u017een\u00ed erozn\u00edmi splaveninami. Po kalibraci na rozs\u00e1hl\u00fdch modelov\u00fdch oblastech byl pro cel\u00e9 \u00fazem\u00ed \u010cR k\u00a0v\u00fdb\u011bru rizikov\u00fdch lokalit vyu\u017eit simula\u010dn\u00ed model WaTEM\/SEDEM.<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-1.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"500\" class=\"alignnone size-full wp-image-3067 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-1.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-1.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-1-300x188.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-1-768x480.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/500;\" \/><\/a>\n<h6>Obr.\u00a01. Riziko erozn\u00edho smyvu v\u00a0sou\u010dasn\u00fdch klimatick\u00fdch podm\u00ednk\u00e1ch bez aplikace opat\u0159en\u00ed\u00a0\u2013 v\u00fdstup webov\u00e9 aplikace [4]<br \/>\nFig. 1. Current erosion transport risk level\u00a0\u2013 output from web application [4]<\/h6>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-2.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"499\" class=\"alignnone size-full wp-image-3068 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-2.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-2.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-2-300x187.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-2-768x479.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/499;\" \/><\/a>\n<h6>Obr.\u00a02. Riziko erozn\u00edho smyvu v\u00a0sou\u010dasn\u00fdch klimatick\u00fdch podm\u00ednk\u00e1ch p\u0159i trval\u00e9m zatravn\u011bn\u00ed\u00a0\u2013 v\u00fdstup webov\u00e9 aplikace [4]<br \/>\nFig. 2. Erosion transport risk level\u00a0\u2013 arable land converted into grassland\u00a0\u2013 output from web application [4]<\/h6>\n<p>Rizikov\u00e9 lokality i\u00a0\u00fa\u010dinnost mo\u017en\u00fdch adapta\u010dn\u00edch opat\u0159en\u00ed (<em>obr.\u00a01<\/em> a\u00a0<em>2<\/em>) jsou prezentov\u00e1ny formou mapov\u00e9ho port\u00e1lu a\u00a0interaktivn\u00ed webov\u00e9 aplikace [4] na str\u00e1nk\u00e1ch Hydroekologick\u00e9ho informa\u010dn\u00edho syst\u00e9mu V\u00daV TGM (http:\/\/www.heis.vuv.cz\/).<\/p>\n<p>Riziko vzniku intenzivn\u00edho erozn\u00edho odtoku je ovlivn\u011bno \u0159adou faktor\u016f. Hlavn\u00ed z\u00a0nich jsou zahrnuty v\u00a0empirick\u00e9 metod\u011b\u00a0v\u00fdpo\u010dtu erozn\u00edho smyvu\u00a0\u2013 Univerz\u00e1ln\u00ed rovnic\u00ed ztr\u00e1ty p\u016fdy [5], kter\u00e1 je rovn\u011b\u017e z\u00e1kladem zvolen\u00e9ho erozn\u00edho modelu WaTEM\/SEDEM [6]. Pro rozs\u00e1hl\u00e1 \u00fazem\u00ed je v\u0161ak modelov\u00e1n\u00ed \u010dasov\u011b n\u00e1ro\u010dn\u00e9 a\u00a0z\u00edsk\u00e1n\u00ed vhodn\u00fdch datov\u00fdch podklad\u016f m\u016f\u017ee vy\u017eadovat zna\u010dn\u00e9 finan\u010dn\u00ed prost\u0159edky. Proto byla s\u00a0vyu\u017eit\u00edm v\u00fdstupn\u00ed datab\u00e1ze v\u0161ech kritick\u00fdch bod\u016f na \u00fazem\u00ed \u010cR n\u00e1sledn\u011b provedena dopl\u0148uj\u00edc\u00ed anal\u00fdza, jej\u00edm\u017e c\u00edlem bylo posoudit vliv jednotliv\u00fdch vybran\u00fdch charakteristik povod\u00ed na m\u00edru ohro\u017eenosti lokality a\u00a0zjistit zda je mo\u017en\u00e9 ur\u010dit parametry, kter\u00e9 jsou kl\u00ed\u010dov\u00e9 pro produkci a\u00a0transport splavenin.<\/p>\n<p>D\u00e1le prok\u00e1zat zda a\u00a0jak spolehliv\u011b je mo\u017en\u00e9 na z\u00e1klad\u011b v\u0161eobecn\u011b dostupn\u00fdch parametr\u016f identifikovat rizikov\u00e9 povod\u00ed. Tento p\u0159\u00edstup pak m\u016f\u017ee b\u00fdt vyu\u017eit pro zjednodu\u0161en\u00ed postupu v\u00a0r\u00e1mci protierozn\u00ed ochrany obc\u00ed. Lokality ur\u010den\u00e9 zjednodu\u0161en\u00fdm postupem na z\u00e1klad\u011b kombinace vybran\u00fdch rizikov\u00fdch charakteristik je mo\u017en\u00e9 n\u00e1sledn\u011b modelovat s\u00a0v\u011bt\u0161\u00ed podrobnost\u00ed, ne\u017e umo\u017e\u0148uje genereln\u00ed modelov\u00e1n\u00ed rozs\u00e1hl\u00fdch \u00fazem\u00ed.<\/p>\n<h2>Liter\u00e1rn\u00ed p\u0159ehled<\/h2>\n<p>Chceme\u00ad\u00ad\u00ad\u2011li modelovat a\u00a0n\u00e1sledn\u011b vyhodnotit m\u00edru ohro\u017een\u00ed dan\u00e9 lokality z\u00a0hlediska intenzivn\u00edho erozn\u00edho odtoku, je mo\u017en\u00e9 vyu\u017e\u00edt n\u011bkter\u00e9ho z\u00a0erozn\u00edch a\u00a0transportn\u00edch model\u016f pro ur\u010den\u00ed ztr\u00e1ty p\u016fdy, resp. intenzity eroze na pozemku nebo v\u00a0\u0159e\u0161en\u00e9m povod\u00ed. Obecn\u011b lze modely rozd\u011blit na empirick\u00e9\/statistick\u00e9, konceptu\u00e1ln\u00ed a\u00a0fyzik\u00e1ln\u00ed [7]. Jednotliv\u00e9 modely se vz\u00e1jemn\u011b li\u0161\u00ed po\u017eadovanou kvalitou a\u00a0mno\u017estv\u00edm vstup\u016f na jedn\u00e9 stran\u011b a\u00a0v\u00fdslednou kvalitou a\u00a0reprezentativnost\u00ed poskytovan\u00fdch v\u00fdsledk\u016f na stran\u011b druh\u00e9.<\/p>\n<p>Pro ur\u010den\u00ed erozn\u00edho rizika v\u00a0rozs\u00e1hl\u00fdch \u00fazem\u00edch jsou nej\u010dast\u011bji vyu\u017e\u00edv\u00e1ny empirick\u00e9 modely zalo\u017een\u00e9 na principu Univerz\u00e1ln\u00ed rovnice ztr\u00e1ty p\u016fdy (USLE), kter\u00e1 stanovuje dlouhodobou pr\u016fm\u011brnou ztr\u00e1tu p\u016fdy v\u00a0povod\u00ed zp\u016fsobenou plo\u0161nou eroz\u00ed [5, 8, 9]. Jedn\u00edm z\u00a0takov\u00fdch model\u016f je prostorov\u011b distribuovan\u00fd model WaTEM\/SEDEM [6, 10, 11]. Ten poskytuje dostate\u010dn\u011b p\u0159esn\u00fd odhad intenzity eroze a\u00a0transportovan\u00e9ho mno\u017estv\u00ed erodovan\u00e9ho materi\u00e1lu na z\u00e1klad\u011b pom\u011brn\u011b n\u00edzk\u00e9ho po\u010dtu vstupn\u00edch dat [12]. Model byl v\u00a0minulosti rovn\u011b\u017e intenzivn\u011b testov\u00e1n a\u00a0aplikov\u00e1n pro ur\u010dov\u00e1n\u00ed transportu splavenin a\u00a0zan\u00e1\u0161en\u00ed n\u00e1dr\u017e\u00ed v\u00a0podm\u00ednk\u00e1ch \u010cesk\u00e9 republiky [13\u201316].<\/p>\n<p>M\u00edra hrozby intenzivn\u00edho erozn\u00edho odtoku v\u00a0jednotliv\u00fdch lokalit\u00e1ch je v\u00fdznamn\u011b z\u00e1visl\u00e1 na \u0159ad\u011b faktor\u016f [17], kter\u00e9 maj\u00ed vliv na pr\u016fb\u011bh sr\u00e1\u017eko\u00ad\u2011odtokov\u00e9 ud\u00e1losti. Tyto charakteristiky lze rozd\u011blit do n\u011bkolika skupin\u00a0\u2013 morfologick\u00e9, morfometrick\u00e9, vyu\u017eit\u00ed \u00fazem\u00ed (p\u0159\u00edtomnost a\u00a0stav vegetace) a\u00a0klimatick\u00e9 (p\u0159edev\u0161\u00edm kvalita p\u016fdy a\u00a0charakteristika sr\u00e1\u017eek).<\/p>\n<p>Nej\u010dast\u011bji sledovanou morfologickou charakteristikou z\u00a0hlediska vlivu na vznik a\u00a0intenzitu eroze je sklon, kter\u00fd se ukazuje jako z\u00e1sadn\u00ed z\u00a0hlediska p\u0159echodu od naru\u0161en\u00ed p\u016fdn\u00edho povrchu k\u00a0transportu erodovan\u00fdch \u010d\u00e1stic po svahu dol\u016f [18]. Velikost sklonu pozemku \u010di povod\u00ed m\u00e1 velk\u00fd v\u00fdznam z\u00a0hlediska \u00fa\u010dinnosti n\u011bkter\u00fdch protierozn\u00edch opat\u0159en\u00ed [19]. Sklon povod\u00ed je v\u00fdznamn\u011b spjat s\u00a0vyu\u017eit\u00edm \u00fazem\u00ed [20]. Pozemky s\u00a0vy\u0161\u0161\u00edm sklonem, kter\u00e9 jsou n\u00e1chyln\u011bj\u0161\u00ed ke vzniku intenzivn\u00ed eroze, jsou \u010dasto vyu\u017e\u00edv\u00e1ny zp\u016fsobem, kter\u00fd naopak riziko eroze sni\u017euje (vegeta\u010dn\u00ed kryt s\u00a0vy\u0161\u0161\u00edm p\u016fdo\u00adochrann\u00fdm \u00fa\u010dinkem). Z\u00a0tohoto d\u016fvodu pak m\u016f\u017ee paradoxn\u011b doch\u00e1zek k\u00a0v\u011bt\u0161\u00edm erozn\u00edm \u0161kod\u00e1m na pozemc\u00edch, kde nen\u00ed sklon p\u0159\u00edli\u0161 vysok\u00fd. V\u00a0takov\u00e9m p\u0159\u00edpad\u011b roste vliv d\u00e9lky svahu a\u00a0morfologie \u00fazem\u00ed.<\/p>\n<p>Pro popis pr\u016fb\u011bhu sr\u00e1\u017eko\u00ad\u2011odtokov\u00fdch, erozn\u00edch a\u00a0transportn\u00edch proces\u016f v\u00a0z\u00e1jmov\u00e9m \u00fazem\u00ed jsou v\u00fdznamn\u00e9 morfometrick\u00e9 parametry. Z\u00a0nich pak p\u0159edev\u0161\u00edm tvar povod\u00ed a\u00a0p\u0159eva\u017euj\u00edc\u00ed tvar svah\u016f (konvergentn\u00ed\/divergentn\u00ed, konvexn\u00ed\/konk\u00e1vn\u00ed). Vliv tvaru povod\u00ed vyj\u00e1d\u0159en\u00fd specifickou \u0161\u00ed\u0159kou povod\u00ed (plocha\/d\u00e9lka povod\u00ed), plan\u00e1rn\u00ed k\u0159ivost\u00ed (vyjad\u0159uj\u00edc\u00ed konvergenci\/divergenci svahu), profilovou k\u0159ivost\u00ed (vyjad\u0159uj\u00edc\u00ed konvexnost\/konk\u00e1vnost svahu), indexy vyjad\u0159uj\u00edc\u00ed hydrologick\u00e9 chov\u00e1n\u00ed povod\u00ed a\u00a0n\u00e1chylnost na erozi a\u00a0dal\u0161\u00ed morfometrick\u00e9 parametry na riziko a\u00a0formu erozn\u00ed ud\u00e1losti jsou posuzov\u00e1ny v\u00a0\u0159ad\u011b studi\u00ed [21\u201326].<\/p>\n<p>Vyu\u017eit\u00ed \u00fazem\u00ed i\u00a0zp\u016fsob hospoda\u0159en\u00ed hraje z\u00a0hlediska ochrany p\u0159ed intenzivn\u00edm erozn\u00edm odtokem v\u00fdznamnou roli. B\u011bhem sledov\u00e1n\u00ed vzniku povrchov\u00e9ho odtoku v\u00a0d\u016fsledk\u016f re\u00e1ln\u00fdch sr\u00e1\u017eek byl zji\u0161t\u011bn p\u0159\u00edm\u00fd vztah mezi vegeta\u010dn\u00edm krytem a\u00a0objemem povrchov\u00e9ho odtoku. P\u0159i zv\u00fd\u0161en\u00ed vegeta\u010dn\u00edho krytu dojde ke sn\u00ed\u017een\u00ed odtoku i\u00a0transportovan\u00e9ho materi\u00e1lu. V\u00fdznamn\u00fd vliv p\u0159\u00edtomnosti a\u00a0stavu vegetace na intenzitu eroze byl prok\u00e1z\u00e1n i\u00a0v\u00a0\u010cesk\u00e9 republice v\u00a0r\u00e1mci experiment\u00e1ln\u00edho v\u00fdzkumu [27].<\/p>\n<p>Morfologick\u00e9 a\u00a0morfometrick\u00e9 parametry, p\u0159\u00edtomnost a\u00a0stav vegetace spolu s\u00a0p\u016fdn\u00edmi vlastnostmi, intenzitou a\u00a0\u010detnost\u00ed sr\u00e1\u017eek v\u00fdznamn\u011b ovliv\u0148uj\u00ed vznik a\u00a0pr\u016fb\u011bh sr\u00e1\u017eko\u00ad\u2011odtokov\u00fdch a\u00a0n\u00e1sledn\u011b erozn\u00edch epizod. Jednotliv\u00e9 charakteristiky a\u00a0vlastnosti povod\u00ed se vz\u00e1jemn\u011b ovliv\u0148uj\u00ed a\u00a0spoluur\u010duj\u00ed v\u00fdslednou m\u00edru ohro\u017eenosti dan\u00e9 lokality z\u00a0hlediska vzniku intenzivn\u00edho erozn\u00edho odtoku.<\/p>\n<h2>Metodika<\/h2>\n<h3>WaTEM\/SEDEM<\/h3>\n<p>WaTEM\/SEDEM je erozn\u00ed a\u00a0transportn\u00ed model, kter\u00fd je postaven\u00fd na z\u00e1kladu Revidovan\u00e1 univerz\u00e1ln\u00ed rovnice ztr\u00e1ty p\u016fdy (RUSLE) [8].<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec1.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"137\" class=\"alignnone size-full wp-image-3079 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec1.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec1.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec1-300x51.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec1-768x132.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/137;\" \/><\/a>\n<table class=\"no-border\" style=\"width: 691px;\">\n<tbody>\n<tr>\n<td style=\"width: 47px;\">kde<\/td>\n<td style=\"width: 45px;\"><em>A<\/em><\/td>\n<td style=\"width: 59px;\">je<\/td>\n<td style=\"width: 520px;\">pr\u016fm\u011brn\u00e1 ztr\u00e1ta p\u016fdy [t\u00b7ha<sup>-1<\/sup>\u00b7 rok<sup>-1<\/sup>],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 47px;\"><\/td>\n<td style=\"width: 45px;\"><em>R\u00a0<\/em><\/td>\n<td style=\"width: 59px;\"><\/td>\n<td style=\"width: 520px;\">faktor erozn\u00ed \u00fa\u010dinnosti de\u0161t\u011bm [MJ\u00b7ha<sup>-1<\/sup>\u00b7cm\u00b7h<sup>-1<\/sup>],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 47px;\"><\/td>\n<td style=\"width: 45px;\"><em>K\u00a0<\/em><\/td>\n<td style=\"width: 59px;\"><\/td>\n<td style=\"width: 520px;\">faktor erodibility p\u016fdy [t\u00b7h\u00b7MJ<sup>-1<\/sup>\u00b7cm<sup>-1<\/sup>],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 47px;\"><\/td>\n<td style=\"width: 45px;\"><em>LS<\/em><\/td>\n<td style=\"width: 59px;\"><\/td>\n<td style=\"width: 520px;\">topografick\u00fd faktor [-],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 47px;\"><\/td>\n<td style=\"width: 45px;\"><em>C<\/em><\/td>\n<td style=\"width: 59px;\"><\/td>\n<td style=\"width: 520px;\">ochrann\u00fd \u00fa\u010dinek vegetace\u00a0[-],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 47px;\"><\/td>\n<td style=\"width: 45px;\"><em>P\u00a0<\/em><\/td>\n<td style=\"width: 59px;\"><\/td>\n<td style=\"width: 520px;\">faktor protierozn\u00edch opat\u0159en\u00ed [-].<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Model vyu\u017e\u00edv\u00e1 tzv.\u00a0Multiple Flow algoritmus d\u011blen\u00ed odtoku [9]. Byla vyu\u017eita \u010d\u00e1st modelu, kter\u00e1 prov\u00e1d\u00ed distribuovan\u00fd v\u00fdpo\u010det ztr\u00e1ty p\u016fdy a\u00a0transportu sedimentu (bez vyu\u017eit\u00ed transportu sedimentu \u0159\u00ed\u010dn\u00ed s\u00edt\u00ed nebo akumulace ve vodn\u00edch n\u00e1dr\u017e\u00edch). \u0158\u00ed\u010dn\u00ed s\u00ed\u0165 a\u00a0vodn\u00ed n\u00e1dr\u017ee byly do v\u00fdpo\u010dtu zahrnuty v\u00a0r\u00e1mci vyu\u017eit\u00ed \u00fazem\u00ed jako plocha, kter\u00e1 negeneruje povrchov\u00fd odtok ani erozn\u00ed smyv, naopak erozn\u00ed odtok vstupuj\u00edc\u00ed do t\u011bchto ploch je zde ukon\u010den a\u00a0nepropaguje se d\u00e1le do plochy povod\u00ed.<\/p>\n<p>Model na rozd\u00edl od GIS p\u0159\u00edstupu v\u00fdpo\u010dtu pomoc\u00ed RUSLE po\u010d\u00edt\u00e1 v\u00a0ka\u017ed\u00e9m elementu transportn\u00ed kapacitu (TC) a\u00a0na jej\u00edm z\u00e1klad\u011b eroduje nebo sedimentuje v\u00a0dan\u00e9m \u00fazem\u00ed.<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec2.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"137\" class=\"alignnone size-full wp-image-3080 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec2.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec2.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec2-300x51.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-vzorec2-768x132.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/137;\" \/><\/a>\n<table class=\"no-border\" style=\"width: 600px;\">\n<tbody>\n<tr>\n<td style=\"width: 35px;\">kde<\/td>\n<td style=\"width: 46px;\">\u00a0<em>T<\/em><\/td>\n<td style=\"width: 63px;\">je<\/td>\n<td style=\"width: 434px;\">transportn\u00ed kapacita [t\u00b7ha<sup>-1<\/sup>\u00b7m<sup>-1<\/sup>],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 35px;\"><\/td>\n<td style=\"width: 46px;\"><em>K<sub>TC<\/sub><\/em><\/td>\n<td style=\"width: 63px;\"><\/td>\n<td style=\"width: 434px;\">koeficient transportn\u00ed kapacity [m],<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 35px;\"><\/td>\n<td style=\"width: 46px;\"><em>Ep<sub>rill\u00a0<\/sub><\/em><\/td>\n<td style=\"width: 63px;\"><\/td>\n<td style=\"width: 434px;\">potenci\u00e1l vzniku r\u00fdhov\u00e9 eroze [t\u00b7ha<sup>-1<\/sup>\u00b7rok<sup>-1<\/sup>].<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Datov\u00e9 podklady<\/h3>\n<p>Datov\u00e9 podklady pro v\u00fdpo\u010det vych\u00e1z\u00ed z\u00a0po\u017eadavk\u016f v\u00fdpo\u010detn\u00edho modelu (RUSLE jako sou\u010d\u00e1st modelu WaTEM\/SEDEM). Data byla vyu\u017eita k\u00a0zji\u0161t\u011bn\u00ed n\u00e1sleduj\u00edc\u00edch charakteristik.<\/p>\n<p>Distribuovan\u00e9 hodnoty R faktoru v\u00a0rozli\u0161en\u00ed 1\u2008km pro modelovan\u00e9 \u00fazem\u00ed byly odvozeny Hanelem [28]. Mapa R faktoru byla vypo\u010dtena podle p\u016fvodn\u00ed Wischmeierovy metodiky zpracov\u00e1n\u00edm ombrometrick\u00fdch dat z\u00a096 m\u011brn\u00fdch stanic pro \u010dasov\u00e9 obdob\u00ed 1989\u20132003. Byly vybr\u00e1ny sr\u00e1\u017ekov\u00e9 ud\u00e1losti p\u0159esahuj\u00edc\u00ed \u00fahrn 12,5\u2008mm, kter\u00e9 z\u00e1rove\u0148 dosahuj\u00ed maxim\u00e1ln\u00ed intensity vy\u0161\u0161\u00ed ne\u017e 6\u2008mm za 10\u00a0minut. Pro ur\u010den\u00ed kinetick\u00e9 energie sr\u00e1\u017eky byla vyu\u017eita nov\u011bj\u0161\u00ed metoda [29]. Pr\u016fm\u011brn\u00e1 hodnota R faktoru v\u00a0\u010cesk\u00e9 republice je 64 [MJ\u00b7ha<sup>-1<\/sup>\u00b7cm\u00b7h<sup>-1<\/sup>]. Data t\u00fdkaj\u00edc\u00ed se vyu\u017eit\u00ed \u00fazem\u00ed vych\u00e1z\u00ed z\u00a0dat Z\u00e1kladn\u00ed b\u00e1ze geografick\u00fdch dat \u010cesk\u00e9 republiky (ZABAGED) v\u00a0kombinaci s\u00a0daty Ve\u0159ejn\u00e9ho registru p\u016fdy (LPIS, m\u011b\u0159\u00edtko 1 : 10\u2009000). \u0158e\u0161en\u00e9 \u00fazem\u00ed bylo rozd\u011bleno do z\u00e1kladn\u00edch kategori\u00ed vyu\u017eit\u00ed \u00fazem\u00ed (orn\u00e1 p\u016fda, trvale travnat\u00fd porost, les\u00a0atd.). Byly uva\u017eov\u00e1ny obvykl\u00e9 hodnoty C faktoru v\u00a0\u010cesk\u00e9 republice pro jednotliv\u00e9 kategorie landuse [30]. Hodnota C faktoru pro ornou p\u016fdu byla ur\u010dena jako pr\u016fm\u011brn\u00e1 hodnota podle osevn\u00edho postupu [31] v\u00a0ka\u017ed\u00e9m okrese \u010cR v\u00a0obdob\u00ed 1995\u20132001. Digit\u00e1ln\u00ed model ter\u00e9nu (DMT), kter\u00fd vznikl interpolac\u00ed z\u00a0vrstevnic (v\u00fd\u0161kov\u00fd krok 2\u2008m, 1 : 10\u2009000) byl vyu\u017eit pro odvozen\u00ed LS faktoru. Bezodtokov\u00e1 m\u00edsta byla o\u0161et\u0159ena v\u00a0r\u00e1mci programu ArcGIS. V\u00fdsledn\u00fd DMT m\u00e1 rozli\u0161en\u00ed 10\u2008m. Hodnoty K\u00a0faktoru byly ur\u010deny podle n\u00e1rodn\u00ed metodiky [32]. Vstupn\u00edmi podklady byly mapy bonitovan\u00fdch p\u016fdn\u011b ekologick\u00fdch jednotek (BPEJ, 1 : 5\u2009000). V\u0161echny datov\u00e9 vstupy pro v\u00fdpo\u010detn\u00ed model WaTEM\/SEDEM byly p\u0159evedeny do rastrov\u00e9ho form\u00e1tu Idrisi (.rst) s\u00a0rozli\u0161en\u00edm 10\u2008m, kter\u00e9 odpov\u00edd\u00e1 rozli\u0161en\u00ed DMT.<\/p>\n<h3>Kritick\u00e9 body, ur\u010den\u00ed kategorie hrozby<\/h3>\n<p>V\u00a0r\u00e1mci projektu, jeho\u017e c\u00edlem bylo ur\u010dit m\u00edru ohro\u017eenosti intravil\u00e1nu obc\u00ed intenzivn\u00edm erozn\u00edm odtokem, byly na \u00fazem\u00ed \u010cesk\u00e9 republiky ur\u010deny tzv.\u00a0kritick\u00e9 body\u00a0\u2013 m\u00edsta na okraji intravil\u00e1nu obc\u00ed, kde lze o\u010dek\u00e1vat vstup v\u00fdznamn\u00e9ho mno\u017estv\u00ed erozn\u00edho odtoku spojen\u00e9ho s\u00a0transportem erozn\u00edch splavenin do obce.<\/p>\n<p>Pomoc\u00ed modelu WaTEM\/SEDEM byla modelov\u00e1na eroze a\u00a0transport sedimentu na cel\u00e9m \u00fazem\u00ed \u010cesk\u00e9 republiky. C\u00edlem bylo na z\u00e1klad\u011b v\u00fdstup\u016f z\u00a0modelu jednotliv\u00fdm kritick\u00fdm bod\u016fm, resp. jejich povod\u00edm p\u0159i\u0159adit v\u00fdznamnost hrozby transportu sedimentu do intravil\u00e1nu.<\/p>\n<p>Pro spr\u00e1vn\u00e9 nastaven\u00ed hranic p\u011bti kategori\u00ed hrozby (mno\u017estv\u00ed erozn\u00edch splavenin vstupuj\u00edc\u00edch do intravil\u00e1nu) byla vybr\u00e1na t\u0159i testovac\u00ed povod\u00ed, ve kter\u00fdch bylo provedeno ter\u00e9nn\u00ed \u0161et\u0159en\u00ed, b\u011bhem kter\u00e9ho byla kritick\u00fdm povod\u00edm p\u0159i\u0159azena skute\u010dn\u00e1 kategorie hrozby (1\u20135) z\u00a0hlediska erozn\u00edho odtoku. V\u00fdsledky tohoto \u0161et\u0159en\u00ed byly konfrontov\u00e1ny s\u00a0vypo\u010dten\u00fdmi charakteristikami kritick\u00fdch povod\u00ed za \u00fa\u010delem nalezen\u00ed vhodn\u00e9ho parametru pro rozd\u011blen\u00ed kritick\u00fdch povod\u00ed do kategori\u00ed hrozby.<\/p>\n<p>Jako nejvhodn\u011bj\u0161\u00ed pro popis hrozby transportu erozn\u00edch splavenin fluvi\u00e1ln\u00edm odtokem do intravil\u00e1nu byl vybr\u00e1n parametr Inflow (celkov\u00e9 mno\u017estv\u00ed sedimentu vstupuj\u00edc\u00ed do z\u00f3ny v\u00a0okruhu 100\u2008m od kritick\u00e9ho bodu [t.rok<sup>-1<\/sup>]).<\/p>\n<h5>Tabulka 1. Hodnoty parametru Inflow a\u00a0po\u010det bod\u016f pro jednotliv\u00e9 kategorie hrozby<br \/>\nTable 1. Number of critical watersheds in five threat categories<\/h5>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka1.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"105\" class=\"alignnone size-full wp-image-3073 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka1.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka1.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka1-300x39.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka1-768x101.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/105;\" \/><\/a>\n<p>P\u0159edpokl\u00e1dan\u00e9 rozlo\u017een\u00ed p\u011bti kategori\u00ed m\u00edry hrozby transportu sedimentu v\u00a0datab\u00e1zi v\u0161ech KB nen\u00ed rovnom\u011brn\u00e9. Kritick\u00e9 body za\u0159azen\u00e9 do nejvy\u0161\u0161\u00ed kategorie 5, resp. kategorie 4 se objevuj\u00ed s\u00a0v\u00fdrazn\u011b ni\u017e\u0161\u00ed \u010detnost\u00ed ne\u017e body v\u00a0kategorii 1, do kter\u00e9 jsou za\u0159azeny body s\u00a0velmi malou m\u00edrou rizika. Vzhledem k\u00a0log\u2011norm\u00e1ln\u00edmu rozlo\u017een\u00ed hodnot Inflow a\u00a0po\u017eadovan\u00e9mu logaritmick\u00e9mu pr\u016fb\u011bhu po\u010dtu povod\u00ed v\u00a0jednotliv\u00fdch kategori\u00edch hrozby byly nastaveny hrani\u010dn\u00ed hodnoty pro jednotliv\u00e9 kategorie (<em>tabulka 1<\/em>).<\/p>\n<h3>Posuzovan\u00e9 charakteristiky povod\u00ed<\/h3>\n<p>Pro ur\u010den\u00ed vlivu na riziko dan\u00e9ho povod\u00ed z\u00a0hlediska generov\u00e1n\u00ed odtoku vody se sedimentem byla posuzov\u00e1na n\u00e1sleduj\u00edc\u00ed krit\u00e9ria:<\/p>\n<ul>\n<li>Vlastnosti p\u016fdy jsou pops\u00e1ny pomoc\u00ed K\u00a0faktoru [t\u00b7h\u00b7MJ<sup>-1<\/sup>\u00b7cm<sup>-1<\/sup>]. Pro stanoven\u00ed hodnot K\u00a0faktoru byly vyu\u017eity mapy BPEJ v\u00a0m\u011b\u0159\u00edtku 1 : 5\u2009000, ze kter\u00fdch byly hodnoty K\u00a0faktoru stanoveny [32].<\/li>\n<li>Charakteristiky sr\u00e1\u017eek v\u00a0lokalit\u011b jsou pro anal\u00fdzu vyj\u00e1d\u0159eny pomoc\u00ed R\u00a0faktoru [MJ\u00b7ha<sup>-1<\/sup>\u00b7cm\u00b7h<sup>-1<\/sup>]. Pr\u016fm\u011brn\u00e1 ro\u010dn\u00ed hodnota R faktoru pro ka\u017edou lokalitu byla odvozena z\u00a0mapy dlouhodob\u00e9ho R faktoru v\u00a0\u010cesk\u00e9 republice [28].<\/li>\n<li>Vyu\u017eit\u00ed \u00fazem\u00ed ve studovan\u00fdch povod\u00edch. Vyu\u017eit\u00ed \u00fazem\u00ed bylo pops\u00e1no pod\u00edlem orn\u00e9 p\u016fdy, lesa a\u00a0trvale travnat\u00fdch ploch v\u00a0t\u011bchto povod\u00edch.<\/li>\n<li>Morfologick\u00e9 charakteristiky povod\u00ed byly do anal\u00fdzy zahrnuty prost\u0159ednictv\u00edm hodnot pr\u016fm\u011brn\u00e9ho sklonu povod\u00ed [%] a\u00a0plochy povod\u00ed [ha].<\/li>\n<li>Z\u00a0morfometrick\u00fdch charakteristik byla analyzov\u00e1na: specifick\u00e1 \u0161\u00ed\u0159ka povod\u00ed [m]\u00a0\u2013 pod\u00edl plochy povod\u00ed a\u00a0nejdel\u0161\u00ed odtokov\u00e9 dr\u00e1hy, profilov\u00e1 k\u0159ivost (ve sm\u011bru maxim\u00e1ln\u00edho sklonu)\u00a0\u2013 Curve<sub>profile<\/sub> a\u00a0plan\u00e1rn\u00ed k\u0159ivost (kolmo na sm\u011br maxim\u00e1ln\u00edho sklonu)\u00a0\u2013 Curve<sub>plane<\/sub> [33].<\/li>\n<li>D\u00e1le byl uva\u017eov\u00e1n hydrologick\u00fd index SPI (Stream Power Index [m\u00b7rad]), kter\u00fd vyjad\u0159uje erozn\u00ed potenci\u00e1l povrchov\u00e9ho odtoku. Index, kter\u00fd zohled\u0148uje sklon v\u00a0dan\u00e9m m\u00edst\u011b povod\u00ed a\u00a0odtokovou plochu, kter\u00e1 tomuto m\u00edstu odpov\u00edd\u00e1 [34].<\/li>\n<\/ul>\n<p>Charakteristiky, kter\u00e9 nejv\u00edce ovliv\u0148uj\u00ed generov\u00e1n\u00ed povrchov\u00e9ho odtoku v\u00a0povod\u00ed, je mo\u017en\u00e9 popsat \u0159adou dal\u0161\u00edch krit\u00e9ri\u00ed, kter\u00e1 \u010dasto p\u0159esn\u011bji popisuj\u00ed sledovanou charakteristiku (nap\u0159.\u00a0osevn\u00ed postup na jednotliv\u00fdch pozemc\u00edch, p\u016fdn\u00ed typ\u00a0apod.). Studie je v\u0161ak zam\u011b\u0159ena na mo\u017enost posouzen\u00ed m\u00edry hrozby vzniku intenzivn\u00edho odtoku pomoc\u00ed b\u011b\u017en\u011b dostupn\u00fdch dat. Z\u00a0tohoto d\u016fvodu byly sledovan\u00e9 charakteristiky voleny tak, aby bylo mo\u017en\u00e9 je snadno z\u00edskat a\u00a0n\u00e1sledn\u011b vyhodnotit pro \u0159adu povod\u00ed r\u016fzn\u00e9 velikosti.<\/p>\n<h3>Princip statistick\u00e9ho zhodnocen\u00ed vztahu mezi Inflow a\u00a0charakteristikami povod\u00ed<\/h3>\n<p>Nejprve byla provedena jednoduch\u00e1 korela\u010dn\u00ed anal\u00fdza vyjad\u0159uj\u00edc\u00ed vztah mezi sledovanou hodnotou Inflow (vyjad\u0159uj\u00edc\u00ed m\u00edru hrozby intenzivn\u00edho erozn\u00edho odtoku) a\u00a0analyzovan\u00fdmi charakteristikami kritick\u00fdch povod\u00ed. Na z\u00e1klad\u011b v\u00fdsledk\u016f jednoduch\u00e9 korela\u010dn\u00ed anal\u00fdzy byla provedena v\u00edcekriteri\u00e1ln\u00ed anal\u00fdza. C\u00edlem v\u00edcekriteri\u00e1ln\u00ed anal\u00fdzy bylo analyzovat vz\u00e1jemn\u00fd vztah charakteristik kritick\u00fdch povod\u00ed a\u00a0zjednodu\u0161it popis povod\u00ed nahrazen\u00edm 11 charakteristik ni\u017e\u0161\u00edm\u00a0po\u010dtem tzv.\u00a0hlavn\u00edch komponent. Pro toto posouzen\u00ed byla vyu\u017eita Anal\u00fdza hlavn\u00edch komponent (PCA), kter\u00e1 je jednou z\u00a0nejstar\u0161\u00edch a\u00a0nejv\u00edce pou\u017e\u00edvan\u00fdch metod v\u00edcerozm\u011brn\u00e9 anal\u00fdzy dat [35]. Tato metoda p\u0159ev\u00e1d\u00ed prom\u011bnn\u00e9 (charakteristiky kritick\u00fdch povod\u00ed) na hlavn\u00ed komponenty, kter\u00e9 jsou line\u00e1rn\u00ed kombinac\u00ed p\u016fvodn\u00edch prom\u011bnn\u00fdch s\u00a0c\u00edlem zjednodu\u0161en\u00ed popisu\u00a0\u2013 sn\u00ed\u017een\u00ed po\u010dtu prom\u011bnn\u00fdch. S\u00a0vyu\u017eit\u00edm p\u011bti komponent (z\u00a0p\u016fvodn\u00edho po\u010dtu 11 prom\u011bnn\u00fdch) je zaji\u0161t\u011bno vysv\u011btlen\u00ed 75% variability p\u016fvodn\u00edch dat. N\u00e1sledn\u011b byl testov\u00e1n vztah t\u011bchto komponent k\u00a0hodnot\u00e1m Inflow, aby bylo mo\u017en\u00e9 vyj\u00e1d\u0159it, kter\u00e9 charakteristiky povod\u00ed jsou z\u00a0hlediska hrozby intenzivn\u00ed eroze v\u00fdznamn\u00e9. Ke statistick\u00fdm anal\u00fdz\u00e1m byl vyu\u017eit software R [36].<\/p>\n<h5>Tabulka 2. Korela\u010dn\u00ed koeficienty mezi charakteristikami a\u00a0hodnotou Inflow<br \/>\nTable 2. Correlation coefficients between catchment characteristics and Inflow<\/h5>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka2.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"583\" class=\"alignnone size-full wp-image-3074 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka2.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka2.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka2-300x219.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka2-768x560.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/583;\" \/><\/a>\n<h2>V\u00fdsledky<\/h2>\n<h3>Jednoduch\u00e1 korela\u010dn\u00ed anal\u00fdza<\/h3>\n<p>Nejprve byla analyzov\u00e1na jednoduch\u00e1 z\u00e1vislost hodnot Inflow na jednotliv\u00fdch analyzovan\u00fdch prom\u011bnn\u00fdch. Z\u00a0v\u00fdsledk\u016f korela\u010dn\u00ed anal\u00fdzy (<em>tabulka 2<\/em>) nebylo mo\u017eno vypozorovat v\u00fdznamnou z\u00e1vislost hodnot Inflow na jednom vybran\u00e9m parametru (st\u0159edn\u00ed z\u00e1vislost, R\u00a0\u2265\u00a00,4). Tato skute\u010dnost je d\u00e1na komplexnost\u00ed fenom\u00e9nu intenzivn\u00edch sr\u00e1\u017eko\u00ad\u2011odtokov\u00fdch a\u00a0erozn\u00edch ud\u00e1lost\u00ed. Riziko erozn\u00ed a\u00a0transportn\u00ed ud\u00e1losti je ovlivn\u011bno \u0159adou faktor\u016f, kter\u00e9 jsou vz\u00e1jemn\u011b propojeny. Re\u00e1ln\u011b je v\u017edy t\u0159eba \u0159e\u0161it jednotliv\u00e9 lokality individu\u00e1ln\u011b a\u00a0s\u00a0ohledem na komplexn\u00ed p\u0159\u00edstup.<\/p>\n<h5>Tabulka 3. Pr\u016fm\u011brn\u00e9 hodnoty sledovan\u00fdch parametr\u016f pro jednotliv\u00e9 kategorie hrozby<br \/>\nTable 3. Average values of the analyzed characteristics in the five threat categories<\/h5>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka3.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"296\" class=\"alignnone size-full wp-image-3075 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka3.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka3.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka3-300x111.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka3-768x284.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/296;\" \/><\/a>\n<p>Pr\u016fm\u011brn\u00e9 hodnoty parametr\u016f (p\u0159edev\u0161\u00edm zastoupen\u00ed orn\u00e9 p\u016fdy, SPI, plocha povod\u00ed) pro v\u0161echny KB v\u00a0jednotliv\u00fdch kategori\u00edch hrozby se v\u00edce \u010di m\u00e9n\u011b odli\u0161uj\u00ed. Z\u00a0<em>tabulky 3<\/em> je z\u0159ejm\u00e1 v\u00fdznamn\u00e1 zm\u011bna v\u00a0zastoupen\u00ed z\u00e1kladn\u00edch kategori\u00ed vyu\u017eit\u00ed \u00fazem\u00ed. S\u00a0rostouc\u00ed kategori\u00ed hrozby roste pod\u00edl orn\u00e9 p\u016fdy a\u00a0naopak kles\u00e1 zastoupen\u00ed trvale travnat\u00fdch porost\u016f. Pod\u00edl zastoupen\u00ed lesa se v\u00fdrazn\u011b nem\u011bn\u00ed, resp. m\u00edrn\u011b kles\u00e1. Z\u00e1rove\u0148 doch\u00e1z\u00ed s\u00a0rostouc\u00ed kategori\u00ed rizika k\u00a0m\u00edrn\u00e9mu n\u00e1r\u016fstu pr\u016fm\u011brn\u00e9ho sklonu, specifick\u00e9 \u0161\u00ed\u0159ky povod\u00ed a\u00a0zna\u010dn\u00e9mu n\u00e1r\u016fstu plochy \u0159e\u0161en\u00fdch povod\u00ed. Z\u00e1sadn\u00edm zp\u016fsobem se zvy\u0161uje hodnota hydrologick\u00e9ho koeficientu SPI (pr\u016fm\u011brn\u00e1 hodnota pro povod\u00ed kategorie 5 je t\u00e9m\u011b\u0159 \u010dty\u0159n\u00e1sobn\u00e1 ne\u017e je tomu u\u00a0kategorie 1). Hodnoty ostatn\u00edch sledovan\u00fdch prom\u011bnn\u00fdch se pro kategorie rizika m\u011bn\u00ed m\u00e1lo.<\/p>\n<h5>Tabulka 4. Pod\u00edl variability vysv\u011btlen\u00fd jednotliv\u00fdmi komponentami<br \/>\nTable 4. The variability proportion explained by components (PC1\u2013PC11)<\/h5>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka4.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"297\" class=\"alignnone size-full wp-image-3076 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka4.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka4.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka4-300x111.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka4-768x285.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/297;\" \/><\/a>\n<p>Na z\u00e1klad\u011b anal\u00fdzy datov\u00e9 sady t\u00e9m\u011b\u0159 130\u2009000 lokality lze p\u0159edpokl\u00e1dat, \u017ee vy\u0161\u0161\u00ed m\u00edra hrozby intenzivn\u00edho erozn\u00edho odtoku bude u\u00a0povod\u00ed, kde je kombinov\u00e1n vysok\u00fd pod\u00edl orn\u00e9 p\u016fdy, vy\u0161\u0161\u00ed sklon povod\u00ed a\u00a0jeho specifick\u00e1 \u0161\u00ed\u0159ka s\u00a0velkou plochou povod\u00ed a\u00a0vysokou hodnotou koeficientu SPI. Pro ov\u011b\u0159en\u00ed tohoto p\u0159edpokladu byla provedena v\u00edcekriteri\u00e1ln\u00ed anal\u00fdza.<\/p>\n<h3>Anal\u00fdza hlavn\u00edch komponent<\/h3>\n<p>V\u00fdsledky PCA anal\u00fdzy pro kompletn\u00ed datovou \u0159adu jsou zn\u00e1zorn\u011bny v\u00a0<em>tabulce 4<\/em>. Z\u00a0tabulky je z\u0159ejm\u00e9, \u017ee prov\u00e1zanost analyzovan\u00fdch charakteristik a\u00a0jejich vztah k\u00a0navr\u017een\u00fdm komponent\u00e1m je pom\u011brn\u011b komplikovan\u00fd. Vysv\u011btluj\u00edc\u00ed pod\u00edl prvn\u00edch dvou komponent je pom\u011brn\u011b n\u00edzk\u00fd (PC1 24\u00a0%, PC2 16\u00a0%). Pro dal\u0161\u00ed anal\u00fdzy bylo uva\u017eov\u00e1no prvn\u00edch p\u011bt komponent, kter\u00e9 vysv\u011btluj\u00ed 75\u00a0% variability 11 analyzovan\u00fdch.<\/p>\n<p>Z\u00a0v\u00fdsledk\u016f anal\u00fdzy hlavn\u00edch komponent (<em>tabulka 5<\/em>) je z\u0159ejm\u00e9, \u017ee prvn\u00ed komponenta PC1 pozitivn\u011b koreluje se sklonem, zastoupen\u00edm lesn\u00ed plochy a\u00a0hydrologick\u00fdm koeficientem SPI v\u00a0povod\u00ed. Naopak v\u00fdznam zastoupen\u00ed orn\u00e9 p\u016fdy je ve vztahu k\u00a0PC1 opa\u010dn\u00fd. Komponenta PC1 m\u016f\u017ee b\u00fdt pops\u00e1na jako komponenta \u201evyu\u017eit\u00ed \u00fazem\u00ed a\u00a0sklonu\u201c. Komponenta PC2 pozitivn\u011b koreluje s\u00a0plochou a\u00a0specifickou \u0161\u00ed\u0159kou povod\u00ed a\u00a0stejn\u011b jako PC1 s\u00a0hodnotou hydrologick\u00e9ho koeficientu SPI. Rovn\u011b\u017e s\u00a0hodnota K\u00a0faktoru vykazuje pozitivn\u00ed korelaci k\u00a0PC2, naopak pod\u00edl zastoupen\u00ed trvale travnat\u00e9ho porostu koreluje s\u00a0PC2 negativn\u011b. Komponenta PC2 je komponentou morfologick\u00fdch a\u00a0morfometrick\u00fdch vlastnost\u00ed povod\u00ed. T\u0159et\u00ed komponenta koreluje pozitivn\u011b s\u00a0plochou povod\u00ed, specifickou \u0161\u00ed\u0159kou a\u00a0zastoupen\u00edm trvale travnat\u00fdch porost\u016f, negativn\u011b s\u00a0hodnotou K\u00a0faktoru. \u010ctvrt\u00e1 komponenta PC4 je komponentou k\u0159ivosti, proto\u017ee vykazuje v\u00fdznamnou pozitivn\u00ed korelaci s\u00a0hodnotou plan\u00e1rn\u00ed i\u00a0profilov\u00e9 k\u0159ivosti. Komponenta PC5 koreluje pouze s\u00a0hodnotou R faktoru a\u00a0je proto naz\u00fdv\u00e1na komponentou erozn\u00ed \u00fa\u010dinnosti de\u0161t\u011b.<\/p>\n<h5>Tabulka\u00a05. Korela\u010dn\u00ed koeficienty sledovan\u00fdch charakteristik k\u00a05 komponent\u00e1m<br \/>\nTable 5. Correlation coefficients between the characteristics and components PC1\u2013PC5<\/h5>\n<p><em>\u00a0<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka5.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"593\" class=\"alignnone size-full wp-image-3077 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka5.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka5.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka5-300x222.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka5-768x569.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/593;\" \/><\/a><\/em><\/p>\n<h3>Vztah hlavn\u00edch komponent a\u00a0Inflow<\/h3>\n<p>Pro ur\u010den\u00ed v\u00fdznamu jednotliv\u00fdch komponent a\u00a0t\u00edm nep\u0159\u00edmo i\u00a0zkouman\u00fdch charakteristik ve vztahu k\u00a0hodnot\u011b Inflow, byl stanoven korela\u010dn\u00ed koeficient mezi hodnotami komponent (PC1 a\u017e PC5) a\u00a0hodnotou Inflow. V\u00fdsledn\u00e9 korela\u010dn\u00ed koeficienty uveden\u00e9 v\u00a0<em>tabulce 5<\/em> ukazuj\u00ed, \u017ee nejv\u00fdznamn\u011bj\u0161\u00ed vzhledem k\u00a0Inflow je druh\u00e1 komponenta PC2 (R = 0,28), d\u00e1le pak p\u00e1t\u00e1 komponenta PC5 (R = 0,17). V\u00fdrazn\u011b ni\u017e\u0161\u00ed v\u00fdznam vzhledem k\u00a0Inflow maj\u00ed prvn\u00ed a\u00a0t\u0159et\u00ed komponenta (PC1, PC3) s\u00a0hodnotou korela\u010dn\u00edho koeficientu 0,05, resp. 0,07. Mezi \u010dtvrtou komponentou PC4 a\u00a0Inflow je korelace nulov\u00e1.<\/p>\n<p>V\u00fdsledky anal\u00fdzy hlavn\u00edch komponent spolu s\u00a0hodnotami korela\u010dn\u00edch koeficient\u016f mezi hodnotami hlavn\u00edch komponent a\u00a0Inflow (<em>tabulka 6<\/em>) ukazuj\u00ed, \u017ee nejv\u011bt\u0161\u00ed v\u00fdznam z\u00a0hlediska hrozby intenzivn\u00ed eroze a\u00a0erozn\u00edho odtoku m\u00e1 komponenta PC2. Na z\u00e1klad\u011b hodnot korelac\u00ed lze tedy p\u0159edpokl\u00e1dat, \u017ee u\u00a0povod\u00ed s\u00a0morfologick\u00fdmi a\u00a0morfometrick\u00fdmi vlastnostmi, kter\u00e9 jsou z\u00a0hlediska erozn\u00edch vlastnost\u00ed nevhodn\u00e9 (velk\u00e1 plocha a\u00a0sklon povod\u00ed, nevhodn\u00fd tvar povod\u00ed), v\u00a0kombinaci s\u00a0mal\u00fdm zastoupen\u00edm trvale travnat\u00fdch ploch a\u00a0\u0161patn\u00fdch p\u016fdn\u00edch vlastnost\u00ed z\u00a0hlediska jej\u00ed eroze (v\u0161e PC2), p\u0159\u00edpadn\u011b rostouc\u00ed \u00fa\u010dinnost\u00ed sr\u00e1\u017eek (PC5), bude v\u011bt\u0161\u00ed riziko hrozby intenzivn\u00edho erozn\u00edho odtoku. V\u00fdsledky anal\u00fdzy z\u00e1rove\u0148 ukazuj\u00ed na zna\u010dnou prov\u00e1zanost jednotliv\u00fdch parametr\u016f. Z\u00a0tohoto d\u016fvodu nen\u00ed mo\u017en\u00e9 jednodu\u0161e definovat hrani\u010dn\u00ed hodnoty jednotliv\u00fdch parametr\u016f, kter\u00e9 zvy\u0161uj\u00ed m\u00edru hrozby.<\/p>\n<h3>P\u0159\u00edklady ohro\u017een\u00fdch lokalit<\/h3>\n<p>V\u00fdsledky anal\u00fdzy ukazuj\u00ed na velkou variabilitu kombinac\u00ed vlastnost\u00ed povod\u00ed, kter\u00e9 zp\u016fsobuj\u00ed riziko vzniku erozn\u00edho odtoku v\u00a0t\u011bchto lokalit\u00e1ch. Pro dokumentaci t\u00e9to variability byly vybr\u00e1ny t\u0159i lokality, kter\u00e9 byly z\u00e1rove\u0148 podrobeny ter\u00e9nn\u00edmu \u0161et\u0159en\u00ed. Vybran\u00e9 lokality (stupe\u0148 hrozby 3\u20134) se odli\u0161uj\u00ed sv\u00fdmi vlastnostmi i\u00a0kombinac\u00ed charakteristik, kter\u00e9 vedou k\u00a0erozn\u00edmu ohro\u017een\u00ed. D\u00e1le jsou na p\u0159\u00edkladu t\u0159\u00ed povod\u00ed dokumentov\u00e1ny mo\u017en\u00e9 chyby vznikl\u00e9 b\u011bhem ur\u010dov\u00e1n\u00ed hrozny intenzivn\u00edho erozn\u00edho odtoku.<\/p>\n<h5>Tabulka 6. Korela\u010dn\u00ed koeficienty mezi komponentami a\u00a0hodnotou Inflow<br \/>\nTable 6. Correlation coefficients between components and Inflow<\/h5>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka6.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"410\" class=\"alignnone size-full wp-image-3078 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka6.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka6.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka6-300x154.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-tabulka6-768x394.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/410;\" \/><\/a>\n<ul>\n<li>Model podhodnocuje m\u00edru hrozby<\/li>\n<\/ul>\n<p>V\u00a0povod\u00ed (<em>obr.\u00a03<\/em>) nedaleko obce Chl\u00edstovice (okres Kutn\u00e1 Hora, St\u0159edo\u010desk\u00fd kraj) je podle v\u00fdpo\u010detn\u00edho modelu riziko hrozby vzniku intenzivn\u00edho erozn\u00edho odtoku na stupni 3\u00a0\u2013 st\u0159edn\u00ed. Podle statistick\u00e9ho zhodnocen\u00ed jsou rozhoduj\u00edc\u00edmi charakteristikami t\u00e9to lokality relativn\u011b velk\u00e1 rozloha povod\u00ed (56\u2008ha), vysok\u00e9 zastoupen\u00ed orn\u00e9 p\u016fdy (99,4\u00a0%), nevhodn\u00fd tvar povod\u00ed (specifick\u00e1 \u0161\u00ed\u0159ka povod\u00ed je 19,7\u2008m) a\u00a0vy\u0161\u0161\u00ed erodobilita p\u016fdy (K\u00a0faktor = 0,6\u2008t\u00b7h\u00b7MJ<sup>-1<\/sup>\u00b7cm<sup>-1<\/sup>).<\/p>\n<p>V\u00a0r\u00e1mci ter\u00e9nn\u00edho \u0161et\u0159en\u00ed byla lokalita ozna\u010dena jako vysoce rizikov\u00e1 (\u00farove\u0148 rizika 4\u20135). D\u016fvodem tohoto za\u0159azen\u00ed je p\u0159edev\u0161\u00edm nevhodn\u00fd tvar povod\u00ed\u00a0\u2013 dlouh\u00fd konvergentn\u00ed svah. V\u00a0lokalit\u011b byly zaznamen\u00e1ny intenzivn\u00ed erozn\u00ed a\u00a0odtokov\u00e9 ud\u00e1losti (podle informac\u00ed m\u00edstn\u00edch obyvatel). Tuto skute\u010dnost dokumentuje tak\u00e9 budov\u00e1n\u00ed z\u00e1chytn\u00fdch p\u0159\u00edkop\u016f (<em>obr.\u00a04<\/em>).<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-3.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"614\" class=\"alignnone size-full wp-image-3069 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-3.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-3.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-3-300x230.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-3-768x589.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/614;\" \/><\/a>\n<h6>Obr.\u00a03. V\u011bt\u0161\u00ed povod\u00ed s\u00a0vysok\u00fdm zastoupen\u00edm orn\u00e9 p\u016fdy<br \/>\nFig. 3. Large catchment with high proportion of arable land<\/h6>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-4.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"600\" class=\"alignnone size-full wp-image-3070 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-4.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-4.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-4-300x225.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-4-768x576.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/600;\" \/><\/a>\n<h6>Obr.\u00a04. Ochrann\u00fd p\u0159\u00edkop nad obc\u00ed Chl\u00edstovice<br \/>\nFig. 4. Ditch for protection of Chl\u00edstovice<\/h6>\n<ul>\n<li>Model je ve shod\u011b s\u00a0ter\u00e9nn\u00edm pr\u016fzkumem<\/li>\n<\/ul>\n<p>V\u00a0povod\u00ed (<em>obr.\u00a05<\/em>) u\u00a0obce Opatovice (okres Kutn\u00e1 Hora, St\u0159edo\u010desk\u00fd kraj) je podle v\u00fdpo\u010detn\u00edho modelu riziko hrozby intenzivn\u00edho erozn\u00edho odtoku na \u00farovni 5\u00a0\u2013 velmi vysok\u00e9. Podle statistick\u00e9 anal\u00fdzy je hlavn\u00ed charakteristikou, kter\u00e1 zvy\u0161uje m\u00edru rizika v\u00a0lokalit\u011b morfometrie povod\u00ed, konkr\u00e9tn\u011b koeficient SPI (2\u2009100\u2008m\u00b7rad). Vysok\u00e1 m\u00edra hrozby intenzivn\u00edho erozn\u00edho odtoku zde vznik\u00e1 i\u00a0p\u0159es relativn\u011b malou plochu povod\u00ed (9,2\u2008ha) a\u00a030\u00a0% zastoupen\u00ed travnat\u00fdch porost\u016f.<\/p>\n<p>Rovn\u011b\u017e v\u00a0r\u00e1mci ter\u00e9nn\u00edho pr\u016fzkumu byla lokalita ozna\u010dena jako vysoce rizikov\u00e1 (stupe\u0148 hrozby 4\u20135). Jako problematick\u00e9 bylo b\u011bhem ter\u00e9nn\u00edho \u0161et\u0159en\u00ed ozna\u010deno p\u0159edev\u0161\u00edm um\u00edst\u011bn\u00ed budov p\u0159\u00edmo do \u00fadolnice.<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-5.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"608\" class=\"alignnone size-full wp-image-3071 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-5.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-5.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-5-300x228.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-5-768x584.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/608;\" \/><\/a>\n<h6>Obr.\u00a05. Povod\u00ed nad obc\u00ed Opatovice<br \/>\nFig. 5. Catchment flows into Opatovice<\/h6>\n<ul>\n<li>Nedostatky v\u00a0datov\u00fdch podkladech a\u00a0definici intravil\u00e1nu<\/li>\n<\/ul>\n<p>Jedn\u00e1 se o\u00a0st\u0159edn\u011b velk\u00e9 povod\u00ed v\u011bj\u00ed\u0159ovit\u00e9ho tvaru nedaleko obce \u010cern\u00edny (okres Kutn\u00e1 Hora, St\u0159edo\u010desk\u00fd kraj), kter\u00e9 je z\u00a0velk\u00e9 \u010d\u00e1sti zalesn\u011bno (<em>obr.\u00a06<\/em>). V\u00fdpo\u010detn\u00ed model stanovil m\u00edru hrozby intenzivn\u00ed eroze na \u00farovni 3\u00a0\u2013 st\u0159edn\u00ed. Rozhoduj\u00edc\u00edmi vlastnostmi jsou zde p\u0159edev\u0161\u00edm morfologick\u00e9 a\u00a0morfometrick\u00e9 vlastnosti povod\u00ed (plocha 130\u2008ha, specifick\u00e1 \u0161\u00ed\u0159ka 20\u2008m) v\u00a0kombinaci s\u00a0lesn\u00edm porostem, kter\u00fd nem\u00e1 z\u00a0hlediska protierozn\u00ed ochrany jednozna\u010dn\u00fd efekt. V\u00a0d\u016fsledku t\u011bchto charakteristik stanovuje model st\u0159edn\u00ed m\u00edru hrozby i\u00a0p\u0159es velmi mal\u00fd sklon povod\u00ed.<\/p>\n<p>Tato lokalita byla v\u00a0r\u00e1mci ter\u00e9nn\u00edho pr\u016fzkumu vyhodnocena jako neohro\u017een\u00e1 lokalita. V\u00a0m\u00edst\u011b uz\u00e1v\u011brov\u00e9ho profilu nebyla oproti datov\u00e9 nalezena obytn\u00e1 budova. Z\u00a0tohoto d\u016fvodu povod\u00ed nespad\u00e1 mezi lokality, kter\u00e9 jsou v\u00a0r\u00e1mci projektu i\u00a0n\u00e1sledn\u00e9 anal\u00fdzy vyhodnocov\u00e1ny.<\/p>\n<h2>Diskuse<\/h2>\n<p>Rozs\u00e1hl\u00fd soubor t\u00e9m\u011b\u0159 130\u2009000 lokalit, pro kter\u00e9 byl pomoc\u00ed erozn\u00edho modelu WaTEM\/SEDEM stanoven pr\u016fm\u011brn\u00fd ro\u010dn\u00ed erozn\u00ed odtok, byl vyu\u017eit pro anal\u00fdzu vlivu vybran\u00fdch charakteristik t\u011bchto lokalit na m\u00edru rizika vzniku intenzivn\u00edho erozn\u00edho odtoku.<\/p>\n<p>V\u00a0r\u00e1mci anal\u00fdzy bylo vybr\u00e1no 11 parametr\u016f, kter\u00e9 maj\u00ed vliv na erozn\u011b transportn\u00ed chov\u00e1n\u00ed povod\u00ed. Vzhledem k\u00a0c\u00edli pr\u00e1ce byl vyhled\u00e1n, stanoven a\u00a0n\u00e1sledn\u011b analyzov\u00e1n vliv faktor\u016f, kter\u00e9 je mo\u017en\u00e9 z\u00edskat na z\u00e1klad\u011b b\u011b\u017en\u011b dostupn\u00fdch dat a\u00a0informac\u00ed o\u00a0lokalit\u00e1ch. Parametry je mo\u017en\u00e9 rozd\u011blit na: vyu\u017eit\u00ed \u00fazem\u00ed (pod\u00edl zastoupen\u00ed z\u00e1kladn\u00edch kategori\u00ed vyu\u017eit\u00ed \u00fazem\u00ed), morfologick\u00e9 parametry (pr\u016fm\u011brn\u00fd sklon, plocha povod\u00ed), morfometrick\u00e9 parametry (tvar povod\u00ed, tvar jednotliv\u00fdch svah\u016f), charakteristiku p\u016fdy a\u00a0sr\u00e1\u017eek v\u00a0lokalit\u011b.<\/p>\n<a href=\"http:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-6.jpg\" rel=\"shadowbox[sbpost-3157];player=img;\"><img decoding=\"async\" width=\"800\" height=\"717\" class=\"alignnone size-full wp-image-3072 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-6.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-6.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-6-300x269.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2017\/02\/Jachymova-6-768x688.jpg 768w\" data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 800px; --smush-placeholder-aspect-ratio: 800\/717;\" \/><\/a>\n<h6>Obr.\u00a06. Velk\u00e9, rovinat\u00e9 povod\u00ed s\u00a0lesn\u00edm porostem nad obc\u00ed \u010cern\u00edny<br \/>\nFig. 6. Large, flat, forest basin above \u010cern\u00edny<\/h6>\n<p>V\u00a0r\u00e1mci jednoduch\u00e9 korela\u010dn\u00ed anal\u00fdzy nebyla zji\u0161t\u011bna v\u00fdznamn\u00e1 z\u00e1vislost parametru Inflow na \u017e\u00e1dn\u00e9 ze sledovan\u00fdch charakteristik. Hodnoty korela\u010dn\u00edho koeficientu mezi jednotliv\u00fdmi parametry a\u00a0Inflow maj\u00ed zna\u010dn\u00fd rozptyl. Maxim\u00e1ln\u00ed hodnota (R = 0,3) byla zji\u0161t\u011bna pro hydrologick\u00fd koeficient SPI, kter\u00fd spojuje specifickou odtokovou plochu a\u00a0sklon v\u00a0povod\u00ed. Rovn\u011b\u017e korelace mezi parametry navz\u00e1jem jsou velmi prom\u011bnliv\u00e9. Z\u00a0korela\u010dn\u00ed matice je z\u0159ejm\u00e1 slab\u00e1 z\u00e1vislost (R = 0,24) mezi hodnotami R faktoru (resp. intenzitou a\u00a0\u010detnost\u00ed erozn\u011b v\u00fdznamn\u00fdch sr\u00e1\u017eek) a\u00a0sklonem povod\u00ed. Tato skute\u010dnost odpov\u00edd\u00e1 podm\u00ednk\u00e1m \u010cesk\u00e9 republiky\u00a0\u2013 vy\u0161\u0161\u00ed nadmo\u0159sk\u00e9 v\u00fd\u0161ky (horsk\u00e9 a\u00a0podhorsk\u00e9 oblasti) jsou charakteristick\u00e9 v\u011bt\u0161\u00edmi pr\u016fm\u011brn\u00fdmi sklony pozemk\u016f a\u00a0z\u00e1rove\u0148 vy\u0161\u0161\u00ed hodnotou R\u00a0faktoru. Dal\u0161\u00ed v\u00fdznamn\u00fd vztah je mezi sklonem povod\u00ed a\u00a0zastoupen\u00edm jednotliv\u00fdch kategori\u00ed vyu\u017eit\u00ed \u00fazem\u00ed, p\u0159edev\u0161\u00edm orn\u00e9 p\u016fdy a\u00a0lesa. I\u00a0tyto korelace (R = &#8211; 0,57, resp. 0,57) jsou ve shod\u011b s\u00a0podm\u00ednkami \u010cesk\u00e9 republiky. Orn\u00e1 p\u016fda se vyskytuje p\u0159edev\u0161\u00edm v\u00a0rovinat\u00fdch a\u00a0m\u00edrn\u011b sklonit\u00fdch \u00fazem\u00edch p\u0159ev\u00e1\u017en\u011b ve vnitrozem\u00ed. S\u00a0rostouc\u00ed nadmo\u0159skou v\u00fd\u0161kou roste zastoupen\u00ed travnat\u00fdch porost\u016f a\u00a0lesn\u00edch ploch.<\/p>\n<p>Sledujeme\u00ad\u00ad\u00ad\u2011li pr\u016fm\u011brn\u00e9 hodnoty charakteristik pro jednotliv\u00e9 kategorie rizika, je mo\u017en\u00e9 vypozorovat n\u00e1r\u016fst nebo naopak pokles pr\u016fm\u011brn\u00fdch hodnot vybran\u00fdch charakteristik. Doch\u00e1z\u00ed k\u00a0n\u00e1r\u016fstu zastoupen\u00ed orn\u00e9 p\u016fdy, roste pr\u016fm\u011brn\u00fd sklon povod\u00ed a\u00a0v\u00fdrazn\u011b roste pr\u016fm\u011brn\u00e1 hodnota koeficientu SPI. Pr\u00e1v\u011b n\u00e1r\u016fst pr\u016fm\u011brn\u00e9 hodnoty je nejv\u00fdrazn\u011bj\u0161\u00ed, pr\u016fm\u011brn\u00e1 hodnota SPI v\u00a0kategorii 5 je 6\u2009000, co\u017e je 4\u00d7 vy\u0161\u0161\u00ed ne\u017e pr\u016fm\u011brn\u00e1 hodnota v\u00a0kategorii 1.<\/p>\n<p>V\u00fdsledky n\u00e1sledn\u00e9 v\u00edcekriteri\u00e1ln\u00ed anal\u00fdzy metodou hlavn\u00edch komponent (PCA) op\u011bt poukazuj\u00ed na to, \u017ee riziko vzniku intenzivn\u00edho erozn\u00edho odtoku v\u00a0dan\u00e9 lokalit\u011b vznik\u00e1 souhrou \u0159ady faktor\u016f. Jeden\u00e1ct sledovan\u00fdch charakteristik povod\u00ed je v\u00a0r\u00e1mci PCA anal\u00fdzy transformov\u00e1no na 11 komponent. Vysv\u011btluj\u00edc\u00ed pod\u00edly jednotliv\u00fdch komponent jsou n\u00edzk\u00e9 (PC1 24\u00a0%, PC2 16\u00a0%). K\u00a0vysv\u011btlen\u00ed 75\u00a0% variability dat je t\u0159eba uva\u017eovat p\u011bt komponent, dv\u011b hlavn\u00ed komponenty (PC1 a\u00a0PC2) dohromady vysv\u011btluj\u00ed jen 40\u00a0% variability.<\/p>\n<p>Uva\u017eujeme\u00ad\u00ad\u00ad\u2011li, \u017ee komponenta vysv\u011btluje ty charakteristiky, k\u00a0nim\u017e m\u00e1 korela\u010dn\u00ed koeficient R &gt; 0,4, je z\u0159ejm\u00e9, \u017ee komponenty PC1, PC2 a\u00a0PC3 maj\u00ed vztah k\u00a0\u0159ad\u011b charakteristik, komponenta PC4 vysv\u011btluje k\u0159ivost povod\u00ed a\u00a0PC5 m\u00e1 vztah k\u00a0sr\u00e1\u017ekov\u00fdm charakteristik\u00e1m (<em>tabulka 4<\/em>). V\u0161echny sledovan\u00e9 charakteristiky jsou v\u00fdznamn\u00e9 pro n\u011bkterou z\u00a0p\u011bti komponent vysv\u011btluj\u00edc\u00edch 75\u00a0% variability dat.<\/p>\n<p>Nejv\u00edce vysv\u011btluj\u00edc\u00ed je koeficient SPI, kter\u00fd vykazuje vysokou m\u00edru korelace s\u00a0prvn\u00edmi dv\u011bma hlavn\u00edmi komponentami (PC1 a\u00a0PC2). Naopak nejasn\u00fd je v\u00fdznam kvality p\u016fdy (K\u00a0faktoru) a\u00a0pod\u00edlu zastoupen\u00ed trvale travnat\u00e9ho porostu, kter\u00e9 vykazuj\u00ed v\u00fdznamnou korelaci (R &gt; 0,4) k\u00a0dv\u011bma komponent\u00e1m PC2 a\u00a0PC3, ale s\u00a0opa\u010dn\u00fdm znam\u00e9nkem (pozitivn\u00ed\/negativn\u00ed korelace).<\/p>\n<p>Pro zji\u0161t\u011bn\u00ed m\u00edry v\u00fdznamnosti jednotliv\u00fdch charakteristik na m\u00edru ohro\u017een\u00ed intenzivn\u00ed erozn\u00edm odtokem byla zji\u0161t\u011bna korelace hodnot p\u011bti v\u00fdznamn\u00fdch komponent k\u00a0hodnot\u011b Inflow, kter\u00e1 m\u00edru rizika vyjad\u0159uje (<em>tabulka 5<\/em>). Korela\u010dn\u00ed koeficienty v\u0161ech p\u011bti sledovan\u00fdch komponent s\u00a0hodnotami Inflow jsou pom\u011brn\u011b n\u00edzk\u00e9, co\u017e op\u011bt dokumentuje, \u017ee erozn\u00ed riziko z\u00e1vis\u00ed na \u0159ad\u011b faktor\u016f. Tato anal\u00fdza ukazuje nulov\u00fd vztah hodnot Inflow ke komponent\u011b PC4, co\u017e vyjad\u0159uje n\u00edzk\u00fd v\u00fdznam hodnot pr\u016fm\u011brn\u00e9 k\u0159ivosti povod\u00ed na m\u00edru hrozby vzniku intenzivn\u00edho erozn\u00edho odtoku. Velmi n\u00edzk\u00fdch korelac\u00ed bylo dosa\u017eeno tak\u00e9 v\u00a0p\u0159\u00edpad\u011b komponenty PC3 (R = 0,05) a\u00a0PC1 (R = 0,07). Jako relativn\u011b v\u00fdznamn\u00e1 se ukazuje p\u0159edev\u0161\u00edm komponenta PC2 (R = 0,28) a\u00a0PC5 (R = 0,17). V\u00a0d\u016fsledku mal\u00e9ho R pro PC3 a\u00a0naopak relativn\u011b vysok\u00e9ho R pro PC2 lze konstatovat, \u017ee kvalita p\u016fdy (hodnota K\u00a0faktoru) koreluje s\u00a0Inflow pozitivn\u011b a\u00a0naopak zastoupen\u00ed travnat\u00fdch porost\u016f vykazuje s\u00a0Inflow negativn\u00ed korelaci.<\/p>\n<p>Z\u00a0kombinace anal\u00fdzy hlavn\u00edch komponent v\u00a0kombinaci s\u00a0korelac\u00ed komponent s\u00a0hodnotami Inflow vypl\u00fdv\u00e1, \u017ee nejv\u00fdznamn\u011bj\u0161\u00edmi vlastnostmi povod\u00ed z\u00a0hlediska m\u00edry rizika vzniku intenzivn\u00ed eroze jsou morfometrick\u00e9 charakteristiky (tvar povod\u00ed vyj\u00e1d\u0159en\u00fd specifickou \u0161\u00ed\u0159kou a\u00a0sklon v\u00a0r\u016fzn\u00fdch \u010d\u00e1stech svahu vyj\u00e1d\u0159en\u00fd koeficientem SPI), plocha povod\u00ed kvalita p\u016fdy a\u00a0zastoupen\u00ed travnat\u00fdch ploch. V\u00fdznamn\u00fd vliv m\u00e1 rovn\u011b\u017e charakteristika sr\u00e1\u017eek. V\u00a0\u0159ad\u011b prac\u00ed se jev\u00ed pr\u00e1v\u011b intenzita sr\u00e1\u017eky jako faktor, kter\u00fd m\u00e1 vliv na mno\u017estv\u00ed odtoku [19], pr\u016fb\u011bh erozn\u00ed ud\u00e1losti a\u00a0intenzitu transportu erodovan\u00e9ho materi\u00e1lu [18], ale i\u00a0vlastnosti vznikl\u00e9ho odtoku a\u00a0jeho erozn\u00ed potenci\u00e1l [37].<\/p>\n<p>Jako m\u00e9n\u011b v\u00fdznamn\u00e9 se ukazuje vyu\u017eit\u00ed \u00fazem\u00ed, resp. pod\u00edl zastoupen\u00ed orn\u00e9 p\u016fdy a\u00a0lesn\u00edch porost\u016f. Landuse obecn\u011b m\u00e1 zcela z\u00e1sadn\u00ed vliv na erozn\u011b transportn\u00ed chov\u00e1n\u00ed v\u00a0lokalit\u011b [1]. Vyu\u017eit\u00ed \u00fazem\u00ed je v\u0161ak v\u00fdznamn\u011b sv\u00e1z\u00e1no s\u00a0dal\u0161\u00edmi charakteristikami (sklon, kvalita p\u016fdy, zp\u016fsob obhospoda\u0159ov\u00e1n\u00ed\u00a0apod.), kter\u00e9 mohou obecn\u011b popsan\u00e9 chov\u00e1n\u00ed jednotliv\u00fdch kategori\u00ed zcela z\u00e1sadn\u011b ovlivnit. P\u0159\u00edkladem je studie [20], ve kter\u00e9 byla dokumentov\u00e1na vysok\u00e1 intenzita eroze na pozemc\u00edch s\u00a0k\u0159ovinami a\u00a0zahradami. D\u016fvodem je v\u00fdskyt t\u011bchto kategori\u00ed na v\u00fdrazn\u011b sklonit\u00fdch svaz\u00edch a\u00a0v\u00a0p\u0159\u00edpad\u011b zahrad pak jejich nevhodn\u00e9 intenzivn\u00ed obhospoda\u0159ov\u00e1n\u00ed. Z\u00e1rove\u0148 nebyl prok\u00e1z\u00e1n v\u00fdznamn\u00fd vliv sklonu na velikost rizika eroze. Existuje \u0159ada studi\u00ed, kter\u00e9 prokazuj\u00ed p\u0159\u00edm\u00fd vliv sklonu svahu na intenzitu eroze [18, 37]. Stejn\u011b jako je tomu u\u00a0vyu\u017eit\u00ed \u00fazem\u00ed, je vliv sklonu ovlivn\u011bn (pozitivn\u011b i\u00a0negativn\u011b) dal\u0161\u00edmi parametry. V\u00fdrazn\u011b vysok\u00e9 sklony svah\u016f jsou \u010dasto kombinov\u00e1ny s\u00a0ochrann\u00fdm faktorem vegetace a\u00a0nejv\u011bt\u0161\u00ed pod\u00edl eroze je pak generov\u00e1n na st\u0159edn\u011b sklonit\u00fdch pozemc\u00edch [20]. Z\u00a0anal\u00fdzy plyne, \u017ee sklon v\u00a0povod\u00ed ovliv\u0148uje riziko eroze p\u0159edev\u0161\u00edm v\u00a0kombinaci s\u00a0velikost\u00ed odtokov\u00e9 plochy prost\u0159ednictv\u00edm koeficientu SPI.<\/p>\n<p>Prezentovan\u00e9 anal\u00fdzy poukazuj\u00ed na skute\u010dnost, \u017ee m\u00edra hrozby vzniku intenzivn\u00edho erozn\u00edho odtoku je ovlivn\u011bna \u0159adou charakteristik povod\u00ed, kter\u00e9 vz\u00e1jemnou interakc\u00ed v\u00fdslednou m\u00edru hrozby determinuj\u00ed. Lze vypozorovat vz\u00e1jemn\u00e9 souvislosti mezi vybran\u00fdmi vlastnostmi povod\u00ed a\u00a0v\u00fdslednou m\u00edrou hrozby. Variabilita kombinac\u00ed t\u011bchto vlastnost\u00ed je v\u0161ak natolik velik\u00e1, \u017ee predikce v\u00fdsledn\u00e9 m\u00edry hrozby pouze na z\u00e1klad\u011b t\u011bchto vlastnost\u00ed je zna\u010dn\u011b komplikovan\u00e1 a\u00a0m\u016f\u017ee v\u00e9st k\u00a0nep\u0159esn\u00fdm v\u00fdsledk\u016fm. Stejn\u00e9 nep\u0159esnosti m\u016f\u017eeme ale \u010dasto pozorovat i\u00a0u\u00a0v\u00fdsledk\u016f matematick\u00fdch model\u016f popisuj\u00edc\u00edch sr\u00e1\u017eko\u00ad\u2011odtokov\u00e9 a\u00a0erozn\u00ed ud\u00e1losti. P\u0159\u00edklad nesouladu modelovan\u00e9 m\u00edry hrozby a\u00a0re\u00e1ln\u00e9 situace <em>in\u00ad<\/em><em>\u2011<\/em><em>situ<\/em> je uveden v\u00a0p\u0159edch\u00e1zej\u00edc\u00ed kapitole. D\u016fvodem vzniku t\u011bchto chyb m\u016f\u017ee b\u00fdt nap\u0159\u00edklad vyu\u017eit\u00ed obecn\u00e9ho erozn\u00edho modelu bez validace na konkr\u00e9tn\u00ed podm\u00ednky v\u00a0lokalit\u011b (p\u0159\u00edklad povod\u00ed Chl\u00edstovice). Nedostate\u010dn\u00e1 kvalita datov\u00fdch podklad\u016f pro model a\u00a0chyby v\u00a0t\u011bchto podkladech mohou rovn\u011b\u017e zna\u010dn\u011b ovliv\u0148ovat kvalitu jeho v\u00fdstup\u016f (p\u0159\u00edklad lokalita \u010cern\u00edny).<\/p>\n<p>Pro kvalitn\u00ed popis hrozby vzniku erozn\u00edho odtoku a\u00a0n\u00e1sledn\u011b ohro\u017een\u00ed intravil\u00e1nu obc\u00ed t\u011bmito ud\u00e1lostmi je t\u0159eba v\u017edy postupovat velmi obez\u0159etn\u011b. Anal\u00fdzy obecn\u00fdch vlastnost\u00ed lokality je mo\u017en\u00e9 vyu\u017e\u00edt pro jej\u00ed obecn\u00e9 za\u0159azen\u00ed mezi m\u00edsta podez\u0159el\u00e1 z\u00a0hlediska erozn\u00ed hrozby. N\u00e1sledn\u00e9 vyu\u017eit\u00ed matematick\u00e9ho modelu je dobr\u00fdm n\u00e1strojem pro podrobn\u011bj\u0161\u00ed definov\u00e1n\u00ed m\u00edry hrozby a\u00a0rozd\u011blen\u00ed souboru lokalit do kategori\u00ed podle \u00farovn\u011b hrozby. Pro kvalitn\u00ed posouzen\u00ed m\u00edry hrozby v\u00a0konkr\u00e9tn\u00edch lokalit\u00e1ch a\u00a0p\u0159\u00edpadn\u00fd n\u00e1vrh mo\u017en\u00e9 ochrany t\u011bchto m\u00edst je v\u017edy t\u0159eba prov\u00e9st m\u00edstn\u00ed \u0161et\u0159en\u00ed, kter\u00e9 ov\u011b\u0159\u00ed spr\u00e1vnost v\u00fdsledk\u016f modelu a\u00a0kvalitu datov\u00fdch podklad\u016f.<\/p>\n<h2>Z\u00e1v\u011br<\/h2>\n<p>Pr\u016fm\u011brn\u00e9 povod\u00ed produkuj\u00edc\u00ed nebezpe\u010dn\u00e9 hodnoty smyvu je povod\u00ed s\u00a0velkou plochou, v\u011bj\u00ed\u0159ovit\u00e9ho tvaru s\u00a0vysok\u00fdm sklonem ve spodn\u00edch \u010d\u00e1stech povod\u00ed, n\u00edzk\u00fdm zastoupen\u00edm TTP. V\u00fdznamnou roli hraje tak\u00e9 vysok\u00e1 erodibilita p\u016fdy a\u00a0v\u00fdskyt intenzivn\u00edch sr\u00e1\u017ekov\u00fdch ud\u00e1lost\u00ed.<\/p>\n<p>Z\u00a0hlediska produkce a\u00a0transportu splavenin jsou kl\u00ed\u010dov\u00e9 morfometrick\u00e9 vlastnosti (tvar povod\u00ed a\u00a0sklonov\u00e9 pom\u011bry p\u0159edev\u0161\u00edm v\u00a0bl\u00edzkosti uz\u00e1v\u011brov\u00e9ho profilu povod\u00ed), velikost povod\u00ed a\u00a0vyu\u017eit\u00ed \u00fazem\u00ed a\u00a0kvalita p\u016fdy a\u00a0jej\u00ed n\u00e1chylnost k\u00a0erozi.<\/p>\n<p>Pomoc\u00ed jednoduch\u00e9 anal\u00fdzy lokality na z\u00e1klad\u011b v\u0161eobecn\u011b dostupn\u00fdch dat (digit\u00e1ln\u00ed model ter\u00e9nu, p\u016fdn\u00ed data, informace o\u00a0sr\u00e1\u017ekov\u00fdch ud\u00e1lostech) nen\u00ed mo\u017en\u00e9 spolehliv\u011b ur\u010dit m\u00edru hrozby vzniku intenzivn\u00edho erozn\u00edho odtoku s\u00a0p\u0159esnost\u00ed, kter\u00e9 je dosa\u017eeno matematick\u00fdm modelov\u00e1n\u00edm. Tyto jednoduch\u00e9 anal\u00fdzy jsou vhodn\u00fdm n\u00e1strojem pro vytipov\u00e1n\u00ed men\u0161\u00edch lokalit, kter\u00e9 jsou podez\u0159el\u00e9 z\u00a0hlediska vzniku intenzivn\u00ed eroze a\u00a0transportu splavenin jako podklad pro n\u00e1slednou aplikaci podrobn\u011bj\u0161\u00edho v\u00fdpo\u010detn\u00edho modelu.<\/p>\n<h3>Pod\u011bkov\u00e1n\u00ed<\/h3>\n<p><em>Tento p\u0159\u00edsp\u011bvek byl podpo\u0159en projekty SGS14\/180\/OHK1\/3<\/em>\u2008<em>T\/11 Sr\u00e1\u017eko\u00ad<\/em><em>\u2011<\/em><em>odtokov\u00e9, erozn\u00ed a\u00a0transportn\u00ed procesy\u00a0\u2013 experiment\u00e1ln\u00ed v\u00fdzkum, NAZV QJ1330118 Monitoring erozn\u00edho po\u0161kozen\u00ed p\u016fd a\u00a0projev\u016f eroze pomoc\u00ed metod DPZ a\u00a0VG20122015092\u00a0\u2013 Erozn\u00ed smyv\u00a0\u2013 zv\u00fd\u0161en\u00e9 riziko ohro\u017een\u00ed obyvatel a\u00a0jakosti vody v\u00a0souvislosti s\u00a0o\u010dek\u00e1vanou zm\u011bnou klimatu. Metodicky byly vyu\u017eity i\u00a0v\u00fdsledky projektu QJ1230056 Vliv o\u010dek\u00e1van\u00fdch klimatick\u00fdch zm\u011bn na p\u016fdy \u010cR a\u00a0hodnocen\u00ed jejich produk\u010dn\u00ed funkce.<\/em><\/p>\n<p><em>Auto\u0159i \u010dl\u00e1nku by r\u00e1di pod\u011bkovali v\u0161em partner\u016fm, kte\u0159\u00ed se pod\u00edleli na \u0159e\u0161en\u00ed projektu VG20122015092, zejm\u00e9na Mgr.\u00a0Pavlu Rosendorfovi, doc.\u00a0Ing.\u00a0Martinu Hanelovi,\u00a0Ph.D., Ing.\u00a0Ji\u0159\u00edmu Pickovi, Ing.\u00a0Janu Dev\u00e1t\u00e9mu, Ing.\u00a0Lu\u010fkovi Strouhalovi, Ing.\u00a0Martinu Do\u010dkalovi,\u00a0Ph.D., a\u00a0dal\u0161\u00edm koleg\u016fm.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We located almost 130\u2009000 critical localities near to urban areas where eroded material can enter the urban area. These localities were divided into five threat categories. Detailed modelling by WaTEM\/SEDEM provided an extensive database of almost 130\u2009000 micro catchments with outlet profiles threatened by intensive erosion runoff, and classified by five categories of threat for infrastructure damages.<\/p>\n","protected":false},"author":8,"featured_media":3070,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[91,87],"tags":[749,750,751,748],"coauthors":[691,692,693,694],"class_list":["post-3157","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-applied-ecology","category-hydrochemistry-radioecology-microbiology","tag-catchment-characteristics","tag-principal-components-analysis","tag-sediment-transport","tag-soil-erosion"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/3157","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/comments?post=3157"}],"version-history":[{"count":2,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/3157\/revisions"}],"predecessor-version":[{"id":30374,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/3157\/revisions\/30374"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/media\/3070"}],"wp:attachment":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/media?parent=3157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/categories?post=3157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/tags?post=3157"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/coauthors?post=3157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}