基于DRASTIC模型的高平原含水层地下水脆弱性地理空间数据同化与制图

S. Datta, A. Ajaz
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引用次数: 1

摘要

高平原含水层是美国最重要的含水层之一,占每年淡水提取总量的四分之一,占一些主要作物产量的五分之一。但这一含水层以上的地区还没有被广泛研究以确定地下水污染的风险。因此,本研究利用地理信息系统(GIS)环境下的DRASTIC模型来确定地下水污染潜力。尽管可用数据有限,但DRASTIC模型在划定高平原含水层易受地下水污染区域方面被证明是有效的。该模型的结果表明,德克萨斯州西南部、堪萨斯州中部、科罗拉多州东部、怀俄明州东部、内布拉斯加州西部和西北部的大部分地区极易受到地下水污染的影响,而俄克拉荷马州的脆弱性最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Data Assimilation and Mapping Groundwater Vulnerability in High Plains Aquifer Using DRASTIC Model
High Plains Aquifer is one of the most important aquifers in the United States, accounting for one-fourth of total annual freshwater withdrawal, and one-fifth of crop production of some major crops. But the area above this aquifer has not been extensively researched for determining the risk of groundwater pollution. Therefore, this study was undertaken to determine the groundwater pollution potential using the DRASTIC model in a Geographic Information System (GIS) environment. Despite the limited data availability, DRASTIC model proved effective in delineating areas of High Plains Aquifer susceptible to groundwater contamination. The results from the model indicated that large portions of southwestern Texas, central Kansas, eastern Colorado, eastern Wyoming, western and north-western Nebraska were highly vulnerable to groundwater pollution whereas Oklahoma had the lowest vulnerability.
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