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Modelling drought vulnerability tracts under changed climate scenario using fuzzy DEMATEL and GIS techniques
Ist Teil von
Theoretical and applied climatology, 2022-10, Vol.150 (1-2), p.425-452
Ort / Verlag
Vienna: Springer Vienna
Erscheinungsjahr
2022
Link zum Volltext
Quelle
SpringerLink (Online service)
Beschreibungen/Notizen
The present study identifies drought risk zones in a river basin by analysing Landsat images from three selected precipitation deficit years (2000, 2009 & 2018). A set of seven parameters including standard precipitation index (SPI), long-term temperature condition index (TCI), long-term vegetation condition index (VCI), vegetation health index (VHI), long-term soil moisture index (SMI), long-term soil adjusted vegetation index (SAVI) and long-term normalised difference water index (NDWI) has been assessed, and drought risk zones have been identified using the fuzzy DEMATEL model to classify the causative and effective groups better represented through the causal diagram. A summary of the results shows that VHI, SPI, and TCI are the three most influential indicators of drought. A yield anomaly index (YAI) has been calculated for validation and the cropping pattern has been mapped.