Groundwater Budget Estimation of an Over-exploited Aquifer Located in the Arid Climate of Iran (Part one: Comparative and Adaptive Analysis Between 1972 and 2019)

Document Type : Research Paper

Authors

1 Researcher, Research Institute of Water Engineering and Management, Tarbiat Modares Univ., Tehran, Iran

2 Assistant Professor, Dept. of Water Engineering and Management, Tarbiat Modares University, Tehran, Iran

Abstract

The existence of uncertainties in the input and output components is one of the major challenges in the water budget estimation due to the limitations in measurement or inaccuracies in the selection of appropriate methods. This leads to fluctuations and multiple differences in the estimation of renewable and programmable water. In this study, comparative and adaptive studies have been performed to identify sources of error and uncertainty on the aquifer of Rafsanjan study area in Kerman province, between 1972 and 2019. A critical review of the approach and method of the groundwater budget estimation was presented by looking at the existing errors and uncertainties. It is presented in the technical analysis form by the perspective of approach estimation and budget estimation methods, infrastructure analysis, institutional and structural analysis, and also, software and hardware facilities. Solutions were presented at two levels to reduce errors and increase accuracy based on national and international experiences. In the first level, the new technologies and approaches such as the remote sensing have been recommended for the estimation of precipitation, evapotranspiration, and recharge rate components. Also, the field data can be used to estimate the recharge rate component. In the second level, the mathematical models as well as the development of decision-making systems are recommended as a combined tool to evaluate different decision-making options according to different requirements. The results of this evaluation can be helped managers to make optimal scientific and practical decisions.

Keywords


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