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Spatially Explicit Model for Assessing the Impacts of Groundwater Protection Measures in the Vicinity of the Hranice Abyss

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F24%3A43925929" target="_blank" >RIV/62156489:43210/24:43925929 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43510/24:43925929

  • Result on the web

    <a href="https://doi.org/10.3390/land13111747" target="_blank" >https://doi.org/10.3390/land13111747</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/land13111747" target="_blank" >10.3390/land13111747</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatially Explicit Model for Assessing the Impacts of Groundwater Protection Measures in the Vicinity of the Hranice Abyss

  • Original language description

    This study introduces a novel spatially explicit modeling framework developed to quantify the secondary environmental benefits of groundwater protection strategies in karst landscapes, with a specific application to the Hranice Abyss region. The model employs a multi-criteria decision analysis, integrated with hydrological modeling and a high-resolution random forest-based prediction algorithm, to downscale land surface temperature (LST) in order to obtain high-resolution 1 x 1 m spatial results. The primary contribution of this research lies in its capacity to assess not only the core objectives of groundwater protection but also its wider environmental impacts, including enhanced stormwater retention and the mitigation of land surface temperature increases. Key model predictors include land use and land cover data, and the framework is adaptable across diverse landscape types. In the case study area, water retention capacity demonstrated an increase of up to 30%, with an average rise in precipitation retention of 18.2 mm per microbasin. However, reductions in surface temperature were more modest, with a maximum decrease of 7.3%, corresponding to an average temperature drop of 1.5 oC. The model further identified pronounced seasonal and land-use-specific variations in surface temperature, particularly on agricultural land, where temperature fluctuations reached up to 2.6 oC between pre- and post-harvest periods. The findings of this study offer critical insights into how targeted land-use interventions can not only safeguard groundwater resources but also enhance landscape resilience to climate change. As such, this modeling approach provides an essential tool for the advancement of sustainable water resource management and climate-adaptive environmental planning.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Land

  • ISSN

    2073-445X

  • e-ISSN

    2073-445X

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    31

  • Pages from-to

    1747

  • UT code for WoS article

    001365646900001

  • EID of the result in the Scopus database

    2-s2.0-85210313835