关于印度安贝德卡纳加尔地区(UP)部分干井通过降雨和人工补给结构补给地下水的研究

Sonveer Singh Arpan Sherring
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引用次数: 0

摘要

研究人员进行了一项实验,研究通过降雨和人工补给结构对 UP 省 Ambedkarnagar 地区不同地点选定干井中的地下水进行补给的情况。研究结果表明,自回归时间序列模型可有效用于预测季风前后的地下水位。它为在地质条件最佳的适当地点实施人工补给结构提供了解决方案,从而以最低成本提高补给率,控制地下水位的下降。研究表明,随机自回归石灰序列模型是北方邦安贝德卡纳加尔地区地下水资源管理的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studies on the Ground Water Recharge through Rainfall and Artificial Recharge Structures in Selected Dry Well in Ambedkarnagar District (UP), India
An experiment was conducted to study the groundwater recharge through rainfall and artificial recharge structures in selected dry well at different locations of Ambedkarnagar District, UP. The results of the study concluded that the autoregressive time series model can be used effectively to predict the pre and post monsoon ground water level the better predictions will help the Farmers and policy makers to optimally utilize the groundwater resources. It is providing the solutions to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. It reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource in Ambedkarnagar district of Uttar Pradesh state.
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