Estimation of Natural and Artificial Recharge of Shahreza Plain Groundwater in Isfahan Using CRD and Hantush Models

Mohsen Nekooei, J. Koupai, S. Eslamian, V. Singh, K. Ostad‑Ali‑Askari
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引用次数: 1

Abstract

Cumulative Rainfall Departure model (CRD) is widely used for estimation of ground natural recharge. This model is based on the groundwater balance and it requires random parameters. Moreover, an increase in the static level under artificial recharge facility is simulated using diffusion equations. Since Shahreza Plain is located in an arid and semi-arid area and given that rainfall is the major recharge source in such regions, in this study CRD model is applied in order to estimate natural recharge of Shahreza Plain groundwater. The amount of groundwater basin fed by rainfall was estimated about 177.2 million cubic meters using the CRD model. Also, by investigating and comparing available artificial recharge plans in Shahreza Plain it was known that in Kohrouyeh Project due to high soil permeability the increase in water table depth was higher than other projects and it achieves the maximum level of the water table within less time. By investigating the course of groundwater quality change in upstream and downstream boreholes of artificial recharge plans and given dewatering periods, we found that artificial recharge plans are generally effective in improving groundwater quality in the direction of groundwater movement but these changes are not significant. Hence, it is demonstrated that groundwater change mostly depends on the groundwater drop.
基于CRD和Hantush模型的伊斯法罕Shahreza平原地下水自然和人工补给估算
累积雨量偏离模型(CRD)被广泛用于估算地面自然补给量。该模型基于地下水平衡,需要随机参数。此外,利用扩散方程模拟了人工补给设施下静水位的增加。由于沙热萨平原地处干旱半干旱区,降雨是该地区主要补给来源,本研究采用CRD模型对沙热萨平原地下水自然补给进行估算。利用CRD模型估算,降雨补给的地下水流域水量约为1.772亿立方米。此外,通过调查和比较Shahreza平原现有的人工补给方案,我们知道,由于土壤渗透性高,Kohrouyeh项目的地下水位深度增加高于其他项目,并在更短的时间内达到地下水位的最大值。通过考察人工回灌方案的上、下游钻孔的水质变化过程和给定的降水周期,我们发现人工回灌方案在地下水运动方向上总体上对改善地下水水质是有效的,但这种变化并不显著。因此,地下水的变化主要取决于地下水的下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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