Suppr超能文献

利用 DRASTIC 和农药 DRASTIC 模型对印度恒河平原高强度农业区的地下水脆弱性进行评估。

Groundwater vulnerability assessment using DRASTIC and Pesticide DRASTIC models in intense agriculture area of the Gangetic plains, India.

机构信息

Central Ground Water Board, Mid-Eastern Region, Patna, 800001, India,

出版信息

Environ Monit Assess. 2014 Dec;186(12):8741-63. doi: 10.1007/s10661-014-4041-x. Epub 2014 Oct 9.

Abstract

Delineating areas susceptible to contamination from anthropogenic sources form an important component of sustainable management of groundwater resources. The present research aims at estimating vulnerability of groundwater by application of DRASTIC and Pesticide DRASTIC models in the southern part of the Gangetic plains in the state of Bihar. The DRASTIC and Pesticide DRASTIC models have considered seven parameters viz. depth to water level, net recharge, aquifer material, soil material, topography, impact of vadose zone and hydraulic conductivity. A third model, Pesticide DRASTIC LU has been adopted by adding land use as an additional parameter, to assess its impact on vulnerability zonation. The DRASTIC model indicated two vulnerable categories, moderate and high, while the Pesticide DRASTIC model revealed moderate, high and very high vulnerable categories. Out of the parameters used, depth to water level affected the vulnerability most. The parameter caused least impact was topography in DRASTIC, while in case of Pesticide DRASTIC and Pesticide DRASTIC LU models, the parameter was hydraulic conductivity. A linear regression between groundwater NO3 concentrations and the vulnerability zonation revealed better correlation for Pesticide DRASTIC model, emphasising the effectiveness of the model in assessing groundwater vulnerability in the study region. Considering all three models, the most vulnerable areas were found to be concentrated mainly in two zones, (i) in the south-western part along Ekangarsarai-Islampur patch and (ii) around Biharsharif-Nagarnausa area in the central part. Both zones were characterised by intensive vegetable cultivation with urban areas in between.

摘要

从人为污染源划定易受污染的区域是地下水资源可持续管理的重要组成部分。本研究旨在通过应用 DRASTIC 和农药 DRASTIC 模型来评估比哈尔邦恒河平原南部地区的地下水脆弱性。DRASTIC 和农药 DRASTIC 模型考虑了七个参数,即地下水位埋深、净补给量、含水层物质、土壤物质、地形、包气带影响和水力传导率。第三个模型农药 DRASTIC LU 通过增加土地利用作为附加参数来评估其对脆弱性分区的影响。DRASTIC 模型显示了两个脆弱类别,即中等和高脆弱类别,而农药 DRASTIC 模型则显示了中等、高和极高脆弱类别。在使用的参数中,地下水位埋深对脆弱性的影响最大。在 DRASTIC 中,对脆弱性影响最小的参数是地形,而在农药 DRASTIC 和农药 DRASTIC LU 模型中,参数是水力传导率。地下水硝酸盐浓度与脆弱性分区的线性回归表明,农药 DRASTIC 模型的相关性更好,这强调了该模型在评估研究区域地下水脆弱性方面的有效性。考虑到所有三个模型,最脆弱的区域主要集中在两个区域,(i)在西南部,沿着 Ekangarsarai-Islampur 斑块,(ii)在中部,靠近比哈尔沙里夫-纳格瑙萨地区。这两个区域的特点是城市地区之间有密集的蔬菜种植。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验