Applying the Triangle Method for the parameterization of irrigated areas as input for spatially distributed hydrological modeling - Assessing future drought risk in the Gaza Strip (Palestine).
In the Mediterranean region, particularly in the Gaza strip, an increased risk of drought is among the major concerns related to climate change. The impacts of climate change on water availability, drought risk and food security can be assessed by means of hydro-climatological modeling. However, the region is prone to severe observation data scarcity, which limits the potential for robust model parameterization, calibration and validation. In this study, the physically based, spatially distributed hydrological model WaSiM is parameterized and evaluated using satellite imagery to assess hydrological quantities. The Triangle Method estimates actual evapotranspiration (ETR) through the Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) provided by Landsat TM imagery. So-derived spatially distributed evapotranspiration is then used in two ways: first a subset of the imagery is used to parameterize the irrigation module of WaSiM and second, withheld scenes are applied to evaluate the performance of the hydrological model in the data scarce study area. The results show acceptable overall correlation with the validation scenes (r=0.53) and an improvement over the usual irrigation parameterization scheme using land use information exclusively. This model setup is then applied for future drought risk assessment in the Gaza Strip using a small ensemble of four regional climate projections for the period 2041-2070. Hydrological modeling reveals an increased risk of drought, assessed with an evapotranspiration index, compared to the reference period 1971-2000. Current irrigation procedures cannot maintain the agricultural productivity under future conditions without adaptation.
Ludwig-Maximilians-Universität Munich, Department of Geography, Luisenstr. 37, 80333 Munich, Germany. Electronic address: david.gampe@lmu.de.
David
D
Gampe
Ludwig-Maximilians-Universität Munich, Department of Geography, Luisenstr. 37, 80333 Munich, Germany.
Ralf
R
Ludwig
Islamic University of Gaza, Department of Civil Engineering, Al Talatiny St., P.O. Box 108, Gaza, Palestine.
Khalid
K
Qahman
Islamic University of Gaza, Department of Civil Engineering, Al Talatiny St., P.O. Box 108, Gaza, Palestine.
Samir
S
Afifi
Climate change; Drought risk; Gaza; Hydrological modeling; Remote sensing; Triangle Method; WaSiM