Boultif, Meriem ， Benmessaoud, Hassen
2017-09-01 GEOGRAPHICA PANNONICA 2017 21(卷), 3(期), (142-150页)
The objective of this study is to contribute in assessing and monitoring drought's vulnerability by developing a GIS-based model to determine vulnerable areas to this natural hazard; the model utilizes a series of agricultural, statistical, meteorological and remotely sensed data, using GIS weighed ponderation and multicriteria analysis decision making, with the integration of three components: climatic sensibility, soil sensibility and socioeconomic sensibility. The result is a vulnerability map classified into five classes according to pixel values. Very Vulnerable class forms 19.46% of the study area, vulnerable class forms 32.81% and 21.37% of the area is not vulnerable, the study presents a modeling procedure of which the final results provide to researchers, users and decision makers important information on the environmental situation of the study area, for better prediction, and risk management.