Modeling and forecasting of the underground water level of Izadkhasht plain, Fars province

Document Type : Research Article

Authors

Department of Geography, Faculty of Literature and Humanities, Razi University, Kermanshah

10.22067/geoeh.2023.81109.1334

Abstract

Since the underground water resources of Iran are limited and worthy of attention, this shortage requires that full care be taken in calculating the amount of available water and the correct use and regulation and maintenance of underground water resources. One of the useful methods for optimal management and exploitation in the present and future is the use of modeling methods. Therefore, in the current research, while investigating the problems created by the underground water in the Izadakhat basin, using GMS software with MODFLOW code, modeling and forecasting is done in permanent and non-permanent conditions in three scenarios of continuation of the current trend, decrease and increase of twenty percent of precipitation. The results obtained in this research show that considering the current conditions, the water level will decrease by 2.786 meters. With a 20% decrease in precipitation, this difference reaches 3.77 meters and with a 20% increase in precipitation, this difference reaches 1.77 meters. That is, with the decrease and increase of precipitation, the amount of water level will decrease and increase by approximately 1 meter in the scenario of extending the conditions. Therefore, considering the three-year water level (1394-1396), the first scenario shows that with the extension of the current conditions, the water level will decrease by 2.786 meters every three years. So, based on these results, it is necessary to store surface water in the region to increase the level of underground water. Also, the analysis of the results showed that one of the most important factors of change in the quality and quantity of underground water resources in the study area is human factors, which should be considered for the management of these resources.

Keywords

Main Subjects


CAPTCHA Image

Articles in Press, Accepted Manuscript
Available Online from 13 June 2023
  • Receive Date: 13 February 2023
  • Revise Date: 17 May 2023
  • Accept Date: 01 June 2023