Composite Drought Vulnerability Index for Subcatchment-Scale Assessment on the Hungarian Great Plain

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Authors: Zsolt Zoltán Fehér
Cited by: 0

Abstract

Analysis scripts for constructing and validating a composite Drought Vulnerability Index (DVI) across 2,911 subcatchments in the Hajdusagi (HAHO) region of the Hungarian Great Plain (~5,567 km2). The DVI integrates exposure (Palfai Aridity Index via IDW interpolation and SPI-12 from FORESEE gridded precipitation), sensitivity (soil properties, canal drainage, irrigation), and adaptive capacity (water management infrastructure) into a single 0--1 index. Validation includes LOOCV of spatial interpolation, LISA cluster analysis, Monte Carlo weight sensitivity, variance decomposition, and external validation against MODIS NDVI drought anomalies. Catchment delineation was performed in ArcGIS Pro 3.6 using the ArcHydro toolset.

Fields of Study & Subjects

Hydrology and Drought Analysis Soil Moisture and Remote Sensing Groundwater and Watershed Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN