Document Type : Research Article
Authors
1
PhD Student, Department of Geography and Urban Planning, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran
2
Associate Professor, Department of Geography and Urban Planning, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran (Corresponding Author)
3
Assistant Professor, Department of Geography and Urban Planning, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran
Abstract
In recent decades, increase of population and development of industries, the occurrence of drought and increasing water consumption has put pressure on the province's water resources. This situation has many environmental and socio-economic consequences. Therefore, the aim of present study is to monitor drought and evaluate its economic and social effects. The present research is applied terms purpose and descriptive-analytical in terms survey. The statistical population in this study includes experts and elites the study area, that finally 80 elites in the province were selected by census method. SPSS Amos and GIS software were used analyze data. Based the results obtained from the processing of precipitation data and TRMM satellite images during the period 1998-2019, it was found that there was no significant difference between frequency of occurrence drywet periods in Tehran province. However, in the last years the study period, rainfall anomalies in Tehran province are more prone to drought, and the last 7 years, three widespread and relatively severe droughts have occurred. In general, it can be said that the phenomenon of drought in Tehran first caused psychological and social tensions and injuries (with the highest factor load of 0.894) with development this phenomenon, the ground for creating a crisis production and livelihood (factor load 0.850) becomes. Following these effects, another phenomenon called poverty and misery appears (with a factor load of 0.698) and finally these factors underlie the migration of individuals and changes in population structure (with a factor load of 0.733) at the origin and destination.
Keywords