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Geocomputation and spatial modelling for geographical drought risk assessment: A case study of the Hustopeče area, Czech Republic

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dc.title Geocomputation and spatial modelling for geographical drought risk assessment: A case study of the Hustopeče area, Czech Republic en
dc.contributor.author Ruda, Aleš
dc.contributor.author Kolejka, Jaromír
dc.contributor.author Batelková, Kateřina
dc.relation.ispartof Pure and Applied Geophysics
dc.identifier.issn 0033-4553 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 174
utb.relation.issue 2
dc.citation.spage 661
dc.citation.epage 678
dc.type article
dc.language.iso en
dc.publisher Birkhauser Verlag AG
dc.identifier.doi 10.1007/s00024-016-1296-x
dc.relation.uri https://link.springer.com/article/10.1007/s00024-016-1296-x
dc.subject aridity en
dc.subject environmental modelling en
dc.subject geocomputation en
dc.subject Geographical drought en
dc.subject risk levels en
dc.subject spatial decision making en
dc.description.abstract The phenomenon of drought is serious in many landscapes with continental patterns of climate. In fact, drought risk is usually assessed in terms of prevailing issue (meteorological, hydrological, agronomical, etc.) and not in terms of complex landscape features. A procedure for detailed geographical drought risk modelling has been developed using recent meteorological data of dry period and prior precipitations, as well as a digital elevation model and geographic data layers of natural landscape features and land cover. The current version of the procedure starts with meteorological data (temperature and precipitation) processing followed by the use of soil and geological data and land cover, the national CORINE LC 2006 CZ database, for assessing the impact of the local natural features on drought risk. The methodology is based on GIS tools, geodata of the geological structure of the area (water holding capacity of the substrate, the horizontal and vertical water conductivity), soil cover (in agricultural and forested areas, soil types and kinds), landscape cover (land use), relief (digital elevation model and its derivatives), temperature and precipitation data from neighbouring representative meteorological and climate stations. The procedure uses regression equation for temperature and precipitation risk modelling, fuzzy standardization for estimation of different water retention within land cover categories and expert estimation for risk categories within rocks and soils. The final calculation is based on spatial decision-making techniques, especially the weighted sum method with a natural breaks reclassification algorithm. Combining geodata of soils, the geological environment and the active surface with their computed humidity conditions, it is possible to identify areas with a graded risk of geographic drought. The final results do not represent partial values, but identify five risk classes in the study area illustrating a possible level of geographical drought risk. © 2016, Springer International Publishing. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1006910
utb.identifier.obdid 43877409
utb.identifier.scopus 2-s2.0-85011999807
utb.identifier.wok 000394242200012
utb.source j-scopus
dc.date.accessioned 2017-06-27T08:13:12Z
dc.date.available 2017-06-27T08:13:12Z
utb.contributor.internalauthor Ruda, Aleš
utb.fulltext.affiliation ALEŠ RUDA , 1 JAROMÍR KOLEJKA , 2 and KATEŘINA BATELKOVÁ 3 1 Department of Regional Development, Public Sector Administration and Law, Faculty of Management and Economics, Tomas Bata University in Zlin, Mostní 5139, 760 01 Zlín, Czech Republic. E-mail: ruda@fame.utb.cz 2 Department of Geography, Faculty of Education, Masaryk University, Poříčí 7, 603 00 Brno, Czech Republic. 3 Institute of Geonics, Drobne ́ho 28, 602 00 Brno, Czech Republic.
utb.fulltext.dates Received September 30, 2014, revised February 22, 2016, accepted April 12, 2016, Published online April 28, 2016
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