{"id":21173,"date":"2023-02-16T15:30:20","date_gmt":"2023-02-16T14:30:20","guid":{"rendered":"https:\/\/www.vtei.cz\/2023\/02\/potencial-chranenych-uzemi-pro-akumulaci-povrchovych-vod-pro-zmirneni-dopadu-klimaticke-zmeny-na-zasobovani-pitnou-vodou-2\/"},"modified":"2024-08-19T17:04:02","modified_gmt":"2024-08-19T16:04:02","slug":"potential-of-areas-protected-for-surface-water-storage-to-mitigate-the-impacts-of-climate-change-on-drinking-water-supply","status":"publish","type":"post","link":"https:\/\/www.vtei.cz\/en\/2023\/02\/potential-of-areas-protected-for-surface-water-storage-to-mitigate-the-impacts-of-climate-change-on-drinking-water-supply\/","title":{"rendered":"Potential of areas protected for surface water storage to mitigate the impacts of climate change on drinking water supply"},"content":{"rendered":"<h2>ABSTRACT<\/h2>\n<p>In the Czech Republic, areas morphologically, geologically and hydrologically suitable for surface water storage to mitigate the adverse effects of floods and droughts are defined through the General Plan for Surface Water Accu-mulation Areas. In the context of climate change, these locations create potential for possible adaptation measures. This article describes the assessment of the potential of selected sites for water supply under climate change condi-tions by means of hydrological and water balance modelling.<\/p>\n<h2>INTRODUCTION<\/h2>\n<p>The Czech Republic has a tradition in water resource planning. The State Plan of the Czechoslovak Republic (1954) was the first comprehensive list of possibilities for water management use of water resources in CR. It also became the basis for spatial planning. In 1975, the Indicative Water Management Plan (Sm\u011brn\u00fd vodohospod\u00e1\u0159sk\u00fd pl\u00e1n, SVP) was published, where increased attention was paid to the analysis, documentation of the condition, and the possibility of using water resources. It includes the claimed water needs and their outlook for the next 30 years. A total of 581 potential dam profiles suitable for the construction of water reservoirs were selected as part of the SVP, of which 286 sites suitable for this construction were documented in more detail. In 1988, the SVP Publication followed, which updated the data on sites. Due to the limitation of claims for the occupation of agricultural land, protection was cancelled for 253 sites, and 97 sites were completely eliminated. In 1995, another SVP was written, in which it was necessary to take into account the new socio-political situation and the introduction of environmental approaches in water management. The number of protected sites has narrowed to just 35. In 2007, the Plan of the Main River Basins of the Czech Republic was created, which served as a long-term concept in the field of water resource planning. One of its goals was the updating of the existing range of prospective reservoir sites and their territorial protection. The updated list included 186 sites, however, due to public opposition and the interests of nature and landscape conservation, the plan could not be approved. Therefore, in 2011, the document General Plan for Surface Water Accumulation Areas (hereinafter SWAA General Plan) was prepared. The SWAA General Plan was developed following the territorially protected sites in the SVP 1988. Property law, socio-economic and environmental aspects were assessed for individual sites, and the SWAA General Plan in its final form contains 65 protected sites. In 2020, the next and so far last update of the SWAA General Plan took place. The need to update the SWAA General Plan is included in the \u201cConcept of protection against the consequences of drought for the Czech Republic\u201d, which was approved by the government in 2017 and also resulted from the meeting of the National Coalition Against Drought in May 2019. Both the concept and the National Coalition were created as a response to the long-term drought in\u00a02014\u20132019. As\u00a0part of\u00a0the\u00a0update, the\u00a0SWAA General Plan is\u00a0being expanded by another 21 sites. The\u00a0SWAA General Plan 2020 [1] thus registers a\u00a0total of\u00a086 sites. of\u00a0these, 31 are included in\u00a0category A, i.e. among sites potentially intended for water supply reservoirs.<\/p>\n<p>In the Czech Republic and in the world, considerable attention is paid to proposals for adaptation measures that should mitigate the effects of climate change. One such measure is the long-term sustainable management of water resources. It should be mentioned that adaptation measures should be comprehensive and complement each other. However, it follows from previous studies [2\u20135] that in the case of ensuring reliable water supplies for industry and the population, one of the appropriate measures is the use of water reservoirs. However, potential reservoirs need to be examined in the context of climate change. In particular, increasing air temperature affects evaporation from the water surface and overall evapotranspiration in the landscape, and as it was shown, for example, in [5], reservoirs in vulnerable sites may have a problem in the future to fulfil supplies with the required reliability. SWAA General Plan 2020 contains only basic data on the possible (potential) volume of reservoirs. In view of the ongoing climate change, it is necessary to check the basic water management function of potential reservoirs on SWAA (Sites for storage of surface water), namely whether these potential reservoirs would be able to compensate for negative changes in the respective catchments. A similar issue was already dealt with [6, 7], however, the results do not include the significant drought period 2014\u20132019. Therefore, as\u00a0part of\u00a0the\u00a0project \u201cWater management and water supply systems and preventive measures to\u00a0reduce risks in\u00a0the\u00a0supply of\u00a0drinking water\u201d, 17\u00a0potential water reservoirs from SWAA category a\u00a0were selected and their assessment was carried out using new data until 2020 and new climate change scenarios. Implementation follows on\u00a0from the\u00a0partial outputs of\u00a0the\u00a0mentioned project, mainly the\u00a0evaluation of\u00a0the\u00a0security of\u00a0water abstractions from existing water reservoirs [5] and the\u00a0balance of\u00a0resources and needs of\u00a0groundwater for drinking purposes [8].<\/p>\n<h2>METHODOLOGY AND MATERIAL<\/h2>\n<p>The assessment of the possible impact of climate change on the provision of water supply by water reservoirs is based on methodology [9]. The procedures from the methodology for processing the hydrological and water management balance are applied, including simulation modelling of the storage function of water management systems. The assessment was prepared for the prospective period of\u00a02050, the\u00a0hydrological balance modelling was also carried out for time horizons with centered year 2035 and 2085.<\/p>\n<p>With regard to\u00a0the\u00a0solution to\u00a0the\u00a0problem of\u00a0drinking water supply, the\u00a0selection of\u00a0evaluated sites was limited to\u00a0SWAA category A. Out of\u00a0a total of\u00a031 SWAA recorded in\u00a0this category, 17 sites were selected. The\u00a0selection was based on\u00a0the\u00a0location of\u00a0these sites near potentially problematic areas. Fig.\u00a01\u20133 show the\u00a0selection. The\u00a0selected and evaluated sites are highlighted in\u00a0purple. Fig.\u00a01 shows the\u00a0location of\u00a0SWAA category A, in\u00a0which municipalities affected by the\u00a0drought in\u00a02015 in\u00a0terms of\u00a0drinking water supply were identified as\u00a0part of\u00a0the\u00a0Plans for development of\u00a0water supply and sewerage for the\u00a0Czech Republic [10] (the\u00a0vast majority are problems with groundwater supply). Fig.\u00a02 shows the\u00a0location of\u00a0SWAA in\u00a0relation to\u00a0ensuring the\u00a0current requirements for water supply by water reservoirs in\u00a0conditions of\u00a0climate change [5]. For easier orientation, abstractions are divided into four groups according to\u00a0the\u00a0security achieved by duration and marked using a\u00a0colour scale, as\u00a0follows:<\/p>\n<ul>\n<li>a) water abstractions with reliability of\u00a0current and permitted abstractions in\u00a0all evaluated scenarios are marked in\u00a0blue,<\/li>\n<li>b) medium-risk abstractions reliability of\u00a0only current abstractions in\u00a0all evaluated scenarios are marked in\u00a0green,<\/li>\n<li>c) abstractions reliability of\u00a0current abstractions are marked yellow only in\u00a0the\u00a0more favourable scenario of\u00a0the\u00a0impact of\u00a0climate change HadGEM2,<\/li>\n<li>d) abstractions where reliability is\u00a0not achieved in\u00a0any of\u00a0the\u00a0climate change impact scenarios are marked red as\u00a0high risk.<\/li>\n<\/ul>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-1-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"582\" class=\"alignleft size-full wp-image-18516 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-1-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-1-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-1-N-300x218.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-1-N-768x559.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\/582;\" \/><\/a>Fig.\u00a01. Areas protected for surface water storage category A\u00a0and municipalities affected by drought in\u00a0terms of\u00a0drinking water supply; polygons represent municipalities<br \/>\nand population affected by drought<\/h6>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-2-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"582\" class=\"alignleft size-full wp-image-18518 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-2-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-2-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-2-N-300x218.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-2-N-768x559.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\/582;\" \/><\/a>Fig. 2. Areas protected for category A surface water storage and reliability of water abstractions by reservoirs<\/h6>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-3-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"582\" class=\"alignleft size-full wp-image-18520 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-3-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-3-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-3-N-300x218.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-3-N-768x559.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\/582;\" \/><\/a>Fig.\u00a03. Areas protected for the\u00a0accumulation of\u00a0surface water category A\u00a0and balance risk working units of\u00a0groundwater bodies<\/h6>\n<p>Fig.\u00a03 shows the\u00a0location of\u00a0the\u00a0SWAA in\u00a0relation to\u00a0the\u00a0areas \u2013 the\u00a0so-called working units of\u00a0groundwater bodies \u2013, that are evaluated as\u00a0(potentially) at\u00a0risk in\u00a0terms of\u00a0the\u00a0balance of\u00a0available resources and groundwater abstractions in\u00a0current conditions or in\u00a0conditions of\u00a0climate change [8]. Selected SWAA and their characteristics are shown in\u00a0Tab. 1.<\/p>\n<h5>Tab.\u00a01.\u00a0 Selected sites and their basic characteristics<a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-1-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"536\" class=\"alignleft size-full wp-image-18522 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-1-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-1-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-1-N-300x201.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-1-N-768x515.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\/536;\" \/><\/a><\/h5>\n<p><sup>ANLGN \u2013 hydrological analogue, DBC \u2013 database number of CHMI water gauging station, KGE \u2013 Kling-Gupta efficiency.<\/sup><\/p>\n<h3>Current climate conditions<\/h3>\n<p>Climate data for the period 1961\u20132020 was used for the actual assessment of current conditions, time series of air temperatures and precipitation. During this period, a significant increase in temperatures can be observed, especially in recent years.<\/p>\n<p>This increase reaches high statistical significance. The increasing temperature affects the amount of potential evapotranspiration and, if water is\u00a0available in\u00a0the\u00a0soil profile, then also the\u00a0current evaporation. The\u00a0reduced availability of\u00a0precipitation totals was mainly in\u00a0the\u00a0periods 1969\u20131974, 1989\u20131994, and 2014\u20132017. When evaluating annual precipitation totals, it is\u00a0not possible to\u00a0trace a\u00a0trend that would be statistically significant. The\u00a0same applies for outflows, where no statistically significant trend can be found in\u00a0the\u00a0long-term average annual outflows (average for the\u00a0whole of\u00a0the\u00a0Czech Republic). In\u00a0recent years, however, a\u00a0significant decrease in\u00a0runoff can be observed in\u00a0the\u00a0summer and spring months and an increase in\u00a0January, which is\u00a0mainly due to\u00a0liquid precipitation and snow melting due to\u00a0increased temperatures.<\/p>\n<h3>Climate change scenarios in\u00a0water management<\/h3>\n<p>For the\u00a0preparation of\u00a0climate change scenarios in\u00a0the\u00a0context of\u00a0changes in\u00a0the\u00a0hydrological balance, the\u00a0delta change method is\u00a0used as\u00a0standard in\u00a0the\u00a0Czech Republic, especially for studies in\u00a0monthly time steps. This method consists in\u00a0transforming the\u00a0observed data so that the\u00a0changes in\u00a0the\u00a0transformed quantities correspond to\u00a0the\u00a0changes derived from climate model simulations. Changes in\u00a0average monthly precipitation totals and average monthly temperature are normally considered in\u00a0the\u00a0monthly step. In\u00a0the\u00a0daily step, it\u00a0is\u00a0also necessary to\u00a0consider changes in\u00a0the\u00a0variability of\u00a0quantities. Therefore, the\u00a0advanced delta change method (ADC) was used to\u00a0create climate change scenarios. The\u00a0essence of\u00a0the\u00a0ADC method is\u00a0to\u00a0transform the\u00a0observed data in\u00a0a\u00a0way that guarantees that the\u00a0changes between the\u00a0transformed and the\u00a0original series are the\u00a0same as\u00a0the\u00a0changes derived from the\u00a0regional climate model. For precipitation and temperature (especially in\u00a0the\u00a0daily step) it is\u00a0desirable that the\u00a0considered transformations take into account changes in\u00a0both mean and variability. Simply put, this means that the\u00a0extremes can change differently than the\u00a0average. When deriving precipitation changes from the\u00a0climate model, the\u00a0ADC method also considers systematic simulation errors. Since the\u00a0temperature is\u00a0transformed linearly, systematic error has no effect on\u00a0the\u00a0resulting temperature transformation [11].<\/p>\n<p>Selected [12] Global Circulation Models (GCM) for sub-basins were transformed by the\u00a0chosen method, namely:<\/p>\n<ul>\n<li>NorESM1-M +<\/li>\n<li>MPI-ESM-LR + HadGEM2-ES +<\/li>\n<li>GISS-E2-H + MRI-ESM1 +<\/li>\n<li>CanESM2 + GFDL-CM3<\/li>\n<\/ul>\n<p>The\u00a0first model (NorESM1-M) represents the\u00a0centre of\u00a0the\u00a0series of\u00a0all GCM. The\u00a0MPI-ESM-LR + HadGEM2-ES models act as\u00a0the\u00a0driving GCM for several Euro-CORDEX RCM simulations. The\u00a0same applies to\u00a0the\u00a0selected medium model, which is\u00a0also controlled by one of\u00a0the\u00a0Euro-CORDEX RCMs. The\u00a0GISS-E2-H + MRI-ESM1 models ensure the\u00a0fulfilment of\u00a0the\u00a0condition to\u00a0cover the\u00a0inter-model variability, and the\u00a0CanESM2 + GFDL-CM3 models enable the\u00a0fulfilment of\u00a0the\u00a0last mentioned selection condition. These climate models were further tested for the\u00a0possibilities of\u00a0use in\u00a0water management, mainly by means of\u00a0hydrological balance modelling by the\u00a0BILAN model, including historical runs (simulation on\u00a0the\u00a0already observed period). Selected RCM models were also tested. For the\u00a0assessment itself, the\u00a0HadGEM2-ES model was chosen, which is\u00a0referred to\u00a0by studies [13], recommending a\u00a0medium scenario of\u00a0the\u00a0impacts of\u00a0climate change in\u00a0water management. The\u00a0evolution of\u00a0temperature for individual selected GCM climate models is\u00a0shown in\u00a0Fig.\u00a04, where the\u00a0thick black line describes the\u00a0evolution of\u00a0average annual temperatures for the\u00a0catchment area of\u00a0the\u00a0analysed sites based on\u00a0observations, the\u00a0grey line through individual GCM simulations (analogously the\u00a0annual average for all sites), and subsequent summarization based on\u00a0RCP emission scenarios. It is\u00a0clear that the\u00a0increase in\u00a0temperature is\u00a0mainly due to\u00a0the\u00a0choice of\u00a0the\u00a0emission scenario, which indicates the\u00a0boundary conditions of\u00a0the\u00a0individual GCM simulations. However, it is\u00a0different for the\u00a0precipitation totals, which are shown in\u00a0Fig.\u00a05. Within the\u00a0simulations, there are also significant differences in\u00a0the\u00a0distribution of\u00a0changes over the\u00a0course of\u00a0the\u00a0year. Most simulations predict an increase in\u00a0precipitation totals for the\u00a0Czech Republic, which may be due to\u00a0the\u00a0country\u2019s location. This phenomenon and the\u00a0credibility of\u00a0the\u00a0above simulations for the\u00a0Czech Republic are widely discussed within the\u00a0professional community. Clarifications should be provided by the\u00a0outputs of\u00a0the\u00a0TA CR \u201cPERUN\u201d and \u201cWater Centre\u201d projects, where this phenomenon is\u00a0investigated.<\/p>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-4-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"508\" class=\"alignleft size-full wp-image-18524 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-4-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-4-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-4-N-300x191.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-4-N-768x488.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\/508;\" \/><\/a>Fig.\u00a04. Air temperatures according to\u00a0observations, individual GCM and emission scenarios RCP (grey lines describe the\u00a0simulations of\u00a0individual climate models, coloured lines the\u00a0mean of\u00a0simulations for the\u00a0selected emission scenario)<\/h6>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-5-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"508\" class=\"alignleft size-full wp-image-18526 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-5-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-5-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-5-N-300x191.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-5-N-768x488.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\/508;\" \/><\/a>Fig.\u00a05. Precipitation according to\u00a0observations, individual GCM and emission scenarios RCP (grey lines describe the\u00a0simulations of\u00a0individual climate models, coloured lines the\u00a0mean of\u00a0simulations for the\u00a0selected emission scenario)<\/h6>\n<p>The\u00a0following scenarios were selected for the\u00a0evaluation of\u00a0the\u00a0water management balance:<\/p>\n<p><strong>0<\/strong> \u2013 indicating current conditions,<\/p>\n<p><strong>2<\/strong> \u2013 the current climate warmed by +2 \u00b0C, this scenario reflects the average warming for the Czech Republic around 2050 and uses unchanged precipitation totals, i.e., it simulates the nature of changes in the hydrological regime if the temperature increase by 2 \u00b0C;<\/p>\n<p><strong>HadGEM2<\/strong> \u2013 climate based on\u00a0the\u00a0outputs of\u00a0the\u00a0HadGEM2-ES Global<br \/>\nClimate Model and the\u00a0RCPRCP4.5 emission scenario.<\/p>\n<h3>Hydrological balance modelling<\/h3>\n<p>To model the\u00a0hydrological balance, the\u00a0BILAN conceptual model was used, which has been developed for more than 15 years in\u00a0the\u00a0TGM WRI Department of\u00a0Hydrology. The\u00a0model calculates the\u00a0chronological hydrological balance of\u00a0the\u00a0basin or area in\u00a0daily or monthly time steps. It expresses the\u00a0basic balance relationships on\u00a0the\u00a0surface of\u00a0the\u00a0basin, in\u00a0the\u00a0aeration zone, which also includes the\u00a0vegetation cover of\u00a0the\u00a0basin, and in\u00a0the\u00a0groundwater zone. Air temperature is\u00a0used as\u00a0an indicator of\u00a0the\u00a0energy balance, which significantly affects the\u00a0hydrological balance. Potential evapotranspiration, evapotranspiration, infiltration into the\u00a0aeration zone, seepage through this zone, snow water storage, soil water storage, and groundwater storage are simulated during the\u00a0calculation. Runoff is\u00a0modelled as\u00a0the\u00a0sum of\u00a0three components: two components of\u00a0direct runoff (including hypodermic runoff) and base runoff [14\u201316]. The\u00a0monthly version of\u00a0the\u00a0model, which is\u00a0controlled by eight parameters, was used to\u00a0model the\u00a0hydrological balance. The\u00a0model uses linear and non-linear reservoirs to\u00a0transform precipitation into runoff. The\u00a0main inputs of\u00a0the\u00a0model are precipitation and air temperature (also measured runoff for calibration), the\u00a0output is\u00a0the\u00a0modelled runoff from the\u00a0basin and other components of\u00a0the\u00a0hydrological balance.<\/p>\n<p>In order to\u00a0assess the\u00a0impact of\u00a0climate change for future outlooks, it is\u00a0necessary to\u00a0have a\u00a0built and calibrated hydrological model for the\u00a0SWAA profiles, which will allow performing variant calculations according to\u00a0climate change scenarios. As\u00a0there is\u00a0usually no direct discharge observation for the\u00a0SWAA basins, hydrological analogies must be used. The\u00a0BILAN model is\u00a0calibrated to\u00a0an analogue that overlaps with the\u00a0original basin, and the\u00a0resulting parameters are transferred to\u00a0the\u00a0SWAA basin. Using these parameters and the\u00a0new precipitation and temperatures, which are interpolated exactly to\u00a0the\u00a0SWAA basin, it is\u00a0then possible to\u00a0simulate the\u00a0outflows directly for the\u00a0profile of\u00a0the\u00a0potential reservoir. A\u00a0similar procedure is\u00a0used to\u00a0simulate the\u00a0affected outflows according to\u00a0climate change scenarios. In\u00a0this case, the\u00a0inputs are formed by\u00a0the\u00a0affected precipitation and temperatures according to\u00a0climate change scenarios and already known model parameters from the\u00a0previous calibration.<\/p>\n<p>Model calibration was performed on\u00a0monthly data obtained by interpolation from a\u00a0regular grid (25 \u00d7 25 km) of\u00a0precipitation and temperatures for the\u00a0Czech Republic [18]. The\u00a0period used to\u00a0calibrate the\u00a0model on\u00a0the\u00a0analogue is\u00a0shown in\u00a0Tab. 1; except for SWAA Amerika, a\u00a0calibration period achieved more than 20\u00a0years. When calibrating the\u00a0model, emphasis was placed on\u00a0a\u00a0more accurate simulation of\u00a0outflows in\u00a0the\u00a0area of\u00a0lower quantiles. The\u00a0goodness of\u00a0fit between the\u00a0observed and modelled runoff was assessed by the\u00a0Kling-Gupta metric [19], the\u00a0values of\u00a0which are shown in\u00a0Tab. 1. In\u00a0general, it can be said that the\u00a0closer the\u00a0value is\u00a0to\u00a01, the\u00a0greater the\u00a0fit between modelled and observed runoff.<\/p>\n<h3>Hydrological modelling of\u00a0climate change<\/h3>\n<p>The\u00a0procedure for modelling the\u00a0impact of\u00a0climate change on\u00a0the\u00a0hydrological regime (Fig.\u00a06) can be briefly summarized as\u00a0follows:<\/p>\n<p>1) The selected hydrological model is calibrated for the selected catchment using observed data. A hydrological model should be based on physics to guarantee that it will provide acceptable results even for unobserved conditions.<\/p>\n<p>2) The input quantities from the global and regional climate model are converted into scenario series for individual basins, namely by:<\/p>\n<ul>\n<li>(a.i.1.a) statistical downscaling,<\/li>\n<li>(a.i.1.b) post-processing of the output of the climate model, i.e., using the incremental method or correction of systematic errors. It is often necessary to use spatial interpolation to relate the data from the calculation cells of the climate model to the centre of gravity of the given basin. For the correct use of all methods (a\u2013b), it is necessary to have the observed data available.<\/li>\n<\/ul>\n<p>3) Using a calibrated hydrological model and scenario series, a simulation of the hydrological balance for the scenario period is carried out.<\/p>\n<p>4) Modelled discharge for the present and prospective periods are corrected in individual months using the quantile method [17].<\/p>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-6-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"609\" class=\"alignleft size-full wp-image-18528 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-6-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-6-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-6-N-300x228.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-6-N-768x585.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\/609;\" \/><\/a>Fig.\u00a06. Scheme of\u00a0hydrological modeling of\u00a0climate change impacts<\/h6>\n<h3>Water management balance<\/h3>\n<p>The\u00a0potential volume of\u00a0water that can be provided by selected sites with a\u00a0given reliability for water abstraction or minimum discharge was evaluated using a\u00a0simulation model of\u00a0the\u00a0water management system storage function [20]. The\u00a0simulation was processed in\u00a0a monthly step for a\u00a0total of\u00a039 years (i.e., 468 months) for time series of\u00a0unaffected monthly mean discharge and evaporation. The\u00a0time series were processed using the\u00a0above-mentioned hydrological balance modelling procedure. Variants representing both current hydrological conditions (scenario 0) and climate change impact scenarios were evaluated: the\u00a0HadGEM2 scenario for the\u00a0reference year 2050, and a\u00a0warming by +2 \u00b0C scenario (scenario 2). The\u00a0total controllable volume of\u00a0the\u00a0water reservoir listed in\u00a0the\u00a0SWAA General Plan [1] was considered as\u00a0active storage capacity. In\u00a0this regard, it is\u00a0necessary to\u00a0consider the\u00a0resulting values of\u00a0reliable abstractions (or improved discharge) as\u00a0theoretical. Despite this fact, the\u00a0results give an idea of\u00a0the\u00a0possible impact of\u00a0climate change scenarios on\u00a0the\u00a0potential capacity of\u00a0the\u00a0assessed sites. In\u00a0addition to\u00a0the\u00a0volume of\u00a0water, or of\u00a0the\u00a0improved discharge, that can be provided by sites with a\u00a0given level of\u00a0reliability, other characteristics were also evaluated (see below).<\/p>\n<h2>RESULTS AND DISCUSSION<\/h2>\n<p>The result of the solution procedure described above was the quantification of the possible impacts of climate change on hydrological characteristics (discharge and evaporation from the water surface and evapotranspiration and the\u00a0subsequent evaluation of\u00a0the\u00a0reliability of\u00a0water abstractions provided by water reservoirs in\u00a0these conditions. Fig.\u00a07 shows the\u00a0changes in\u00a0natural runoff (scenario\/present) for individual simulation scenarios and emission scenarios, in\u00a0this case for the\u00a0period 2071\u20132100. The\u00a0grey lines are partial simulations for the\u00a0given sites, the\u00a0coloured lines are summaries for individual climate models, and the\u00a0highlighted ones are the\u00a0simulations used for water management evaluation. A\u00a0significant variability of\u00a0changes can be observed, which are mainly determined by the\u00a0input climate data and uncertainties in\u00a0the\u00a0hydrological model simulations. The\u00a0latter is\u00a0calibrated on\u00a0the\u00a0basis of\u00a0available input data, while a\u00a0number of\u00a0studies and research deal with the\u00a0calibration strategies themselves. Fig.\u00a08 also shows the\u00a0reduction of\u00a0runoff from the\u00a0catchments of\u00a0the\u00a0assessed sites due to\u00a0climate change for the\u00a0HadGEM2 scenario to\u00a0the\u00a0reference year 2050. of the landscape)<\/p>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-7-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"486\" class=\"alignleft size-full wp-image-18531 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-7-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-7-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-7-N-300x182.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-7-N-768x467.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\/486;\" \/><\/a>Fig. 7. Reduction of runoff from the catchment area of potential water reservoirs (rcp26, rcp45 and rcp85 indicate groups of emission scenarios, the grey lines describe the individual climate model simulations, the thick red line the + 2 \u00b0C warming scenario and the\u00a0thick turquoise line the\u00a0selected HadGEM2 scenario)<\/h6>\n<h6><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-8-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"538\" class=\"alignleft size-full wp-image-18533 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-8-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-8-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-8-N-300x202.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-obr-8-N-768x516.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\/538;\" \/><\/a>Fig.\u00a08. Reduction of\u00a0runoff from the\u00a0catchment area of\u00a0potential water reservoirs in\u00a0the\u00a0HadGEM2 scenario<\/h6>\n<p>Using the\u00a0simulation of\u00a0the\u00a0storage function of\u00a0water management systems, a\u00a0uniform improved discharge Qn was evaluated for individual SWAA and scenarios with reliability according to\u00a0the\u00a0duration pt = 99.5 % [21]. The\u00a0results are shown in\u00a0Tab. 2. The\u00a0use of\u00a0SWAA capacity (or the\u00a0evaluated improved discharge Qn) for water abstraction is\u00a0limited by the\u00a0need to\u00a0maintain the\u00a0minimum residual flow rates (MRF) below the\u00a0water reservoirs. The\u00a0indicative value of\u00a0MRF was calculated according to\u00a0equation (1), where Q10 represents the\u00a090 % quantile of\u00a0mean monthly discharge. The\u00a0equation was derived from the\u00a0analysis of\u00a0the\u00a0MRF relationship calculated from daily discharge and the\u00a0relevant quantile of\u00a0monthly discharge for most water gauging stations in\u00a0the\u00a0Czech Republic. As\u00a0additional characteristics, Tab. 2 also shows the\u00a0values of\u00a0the\u00a0long-term mean discharge Qa, (which is\u00a0calculated here as\u00a0the\u00a0arithmetic mean of\u00a0a series of\u00a0modelled mean monthly discharge), the\u00a0improvement coefficient \u03b1 calculated according to\u00a0equation (2), the\u00a0coefficient of\u00a0variation of\u00a0annual mean discharge Cv and the\u00a0standardized inflow m calculated according to\u00a0equation (3). According to\u00a0[22], reservoirs with m \u2265 1 or m \u2265 Cv have a\u00a0seasonal nature of\u00a0management, otherwise multi-year nature of\u00a0management.<\/p>\n<h6>Tab.\u00a02.\u00a0 Potential for flow enhancement<a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-2-N.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"835\" class=\"alignleft size-full wp-image-18535 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-2-N.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-2-N.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-2-N-287x300.jpg 287w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/03\/Vizina-tab-2-N-768x802.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\/835;\" \/><\/a><\/h6>\n<p><sup>1 Considered as\u00a0a\u00a0system Hrachov I \u2013 Hrachov II.<\/sup><\/p>\n<p><sup>2 Considered as\u00a0a\u00a0Vyso\u010dany \u2013 Vranov \u2013 Znojmo system. The\u00a0Qn value represents the\u00a0added improvement potential to\u00a0the\u00a0existing Vranov \u2013 Znojmo system.<\/sup><\/p>\n<p><em><a href=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/02\/Vizina-vzorecek-1.jpg\" rel=\"shadowbox[sbpost-21173];player=img;\"><img decoding=\"async\" width=\"800\" height=\"364\" class=\"alignleft size-full wp-image-18144 lazyload\" data-src=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/02\/Vizina-vzorecek-1.jpg\" alt=\"\" data-srcset=\"https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/02\/Vizina-vzorecek-1.jpg 800w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/02\/Vizina-vzorecek-1-300x137.jpg 300w, https:\/\/www.vtei.cz\/wp-content\/uploads\/2023\/02\/Vizina-vzorecek-1-768x349.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\/364;\" \/><\/a><\/em><\/p>\n<p>From the\u00a0results, by comparing the\u00a0values of\u00a0discharge improvement Qn in\u00a0the\u00a0scenarios of\u00a0climate change and current conditions (scenario 0), a\u00a0more significant reduction in\u00a0the\u00a0potential of\u00a0SWAA to\u00a0ensure water abstractions is\u00a0evaluated especially at\u00a0the\u00a0sites of\u00a0\u010cu\u010dice (over 30 % in\u00a0both scenarios), Kladruby, Hradi\u0161t\u011b, Hrachov I, and Hrachov II. on\u00a0the\u00a0contrary, a\u00a0relatively low reduction (up to\u00a010 %) of\u00a0the\u00a0potential to\u00a0secure water abstractions was evaluated at\u00a0the\u00a0sites of\u00a0Ho\u0161tejn, Hanu\u0161ovice, Chaloupky, and P\u011b\u010d\u00edn.<\/p>\n<p>Due to\u00a0its location on\u00a0the\u00a0tributary of\u00a0the\u00a0\u017deletavka to\u00a0the\u00a0Vranov water reservoir, the\u00a0Vyso\u010dany site was assessed in\u00a0the\u00a0Vyso\u010dany \u2013 Vranov \u2013 Znojmo water reservoir system. Therefore, Qn values in\u00a0Tab. 2 indicate the\u00a0added potential for improvement to\u00a0the\u00a0existing Vranov \u2013 Znojmo system for this site. Considering the\u00a0total capacity of\u00a0the\u00a0Vranov water reservoir (in the\u00a0current conditions of\u00a0improvement at\u00a0pt = 99.5 %, it exceeds 4 m3.s-1), the\u00a0added effect of\u00a0the\u00a0Vyso\u010dany site is\u00a0relatively low. The\u00a0Vranov water reservoir is\u00a0multi-purpose and current water abstractions from the\u00a0Vranov \u2013 Znojmo system make up a\u00a0smaller share of\u00a0the\u00a0total requirements placed on\u00a0its storage function. Hrachov I and Hrachov II water reservoirs, on\u00a0the\u00a0Brzina river, were also considered as\u00a0a\u00a0system.<\/p>\n<p>As part of\u00a0the\u00a0water management solution for reservoirs, the\u00a0entire potential volume of\u00a0the\u00a0reservoir listed in\u00a0the\u00a0SWAA General Plan [1] was considered as\u00a0active storage capacity. In\u00a0this regard, it is\u00a0necessary to\u00a0take the\u00a0resulting values of\u00a0reliable abstractions (or improved discharge) as\u00a0theoretical. For example, the\u00a0volume of\u00a0dead storage, the\u00a0values of\u00a0which are not currently available, was not considered. The\u00a0improved discharge will thus be lower in\u00a0real terms. However, despite this fact, the\u00a0results give a\u00a0good idea of\u00a0the\u00a0possible impact of\u00a0climate change scenarios on\u00a0the\u00a0potential capacity of\u00a0the\u00a0assessed sites.<\/p>\n<h2>CONCLUSION<\/h2>\n<p>The\u00a0goal of\u00a0the\u00a0solution described above was to\u00a0evaluate the\u00a0possible impacts of\u00a0climate change on\u00a0the\u00a0capacity of\u00a0areas protected for surface water storage (SWAA). Considering the\u00a0significant uncertainties in\u00a0the\u00a0prediction of\u00a0climate change scenarios, a\u00a0variant solution was chosen: the\u00a0HadGEM2 climate change scenario for the\u00a0reference year 2050, and the\u00a0(less favourable) scenario of\u00a0a current climate warming of\u00a02 \u00b0C were assessed. The\u00a0evaluation was done for 17 sites considered to\u00a0ensure water abstractions and located near potentially problematic areas in\u00a0terms of\u00a0drinking water supply. Hydrological and water management balance modelling procedures were applied during the\u00a0assessment of\u00a0SWAA capacities. The\u00a0solution results are shown in\u00a0Tab. 2. A\u00a0more significant reduction in\u00a0the\u00a0capacity to\u00a0ensure water abstractions due to\u00a0climate change was evaluated especially at\u00a0the\u00a0sites of\u00a0\u010cu\u010dice, Kladruby, Hradi\u0161t\u011b, Hrachov I, and Hrachov II. In\u00a0contrast, a\u00a0relatively low reduction in\u00a0capacity was evaluated at\u00a0the\u00a0Ho\u0161tejn, Hanu\u0161ovice, Chaloupky and P\u011b\u010d\u00edn sites. With the\u00a0exception of\u00a0the\u00a0\u010cu\u010dice and Kladruby sites, the\u00a0reduction in\u00a0capacity compared to\u00a0current conditions did not exceed 30 % for any site. The\u00a0results in\u00a0the\u00a0form of\u00a0variant scenarios therefore draw attention to\u00a0a possible reduction of\u00a0the\u00a0improved discharge and an increase in\u00a0the\u00a0coefficient of\u00a0variation, which is\u00a0an indicator of\u00a0the\u00a0fluctuation of\u00a0the\u00a0hydrological regime. A\u00a0more detailed study of\u00a0the\u00a0area, including possible water transfers, prospective water needs, etc., is\u00a0needed to\u00a0decide whether a\u00a0given reservoir could help a\u00a0deficit region.<\/p>\n<h3>Acknowledgements<\/h3>\n<p><em>This article was created on\u00a0the\u00a0basis of\u00a0research carried out as\u00a0part of\u00a0project VI20192022159 \u201cWater management and water supply systems and preventive measures to\u00a0reduce risks in\u00a0the\u00a0supply of\u00a0drinking water\u201d of\u00a0the\u00a0BV III\/1-VS programme, which is\u00a0financed by the\u00a0Ministry of\u00a0the\u00a0Interior of\u00a0the\u00a0Czech Republic.<\/em><\/p>\n<p>The Czech version of this article was peer-reviewed, the English version was translated from\u00a0the Czech original by Environmental Translation Ltd.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the Czech Republic, areas morphologically, geologically and hydrologically suitable for surface water storage to mitigate the adverse effects of floods and droughts are defined through the General Plan for Surface Water Accu-mulation Areas. In the context of climate change, these locations create potential for possible adaptation measures. This article describes the assessment of the potential of selected sites for water supply under climate change condi-tions by means of hydrological and water balance modelling.<\/p>\n","protected":false},"author":8,"featured_media":18096,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[86],"tags":[97,96,2486,870,873,3206],"coauthors":[27,29,757,803],"class_list":["post-21173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hydraulics-hydrology-and-hydrogeology","tag-adaptation","tag-climate-change","tag-drinking-water-supply","tag-water-balance","tag-water-resources","tag-water-scarsity"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/21173","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=21173"}],"version-history":[{"count":8,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/21173\/revisions"}],"predecessor-version":[{"id":32037,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/posts\/21173\/revisions\/32037"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/media\/18096"}],"wp:attachment":[{"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/media?parent=21173"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/categories?post=21173"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/tags?post=21173"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.vtei.cz\/en\/wp-json\/wp\/v2\/coauthors?post=21173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}