首页> 外文期刊>Environmental Science and Pollution Research >Spatial variations in water quality of river Ganga with respect to land uses in Varanasi
【24h】

Spatial variations in water quality of river Ganga with respect to land uses in Varanasi

机译:瓦拉纳西恒河的水质与土地利用有关的空间变化

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Water quality of a river is a function of surrounding environment and land use due to its connectivity with land, resulting in pollutants finding their way through land. This necessitates a spatially explicit study of river ecology. The paper presents a pioneer study to establish and explore the linkage between land use and water quality of river Ganga in Varanasi district. The land use land cover (LULC) map of 20 km of river stretch for buffer radii of 1000 m in Varanasi revealed that riparian vegetation is negligible in the district. The hierarchical cluster analysis of LULC data suggested that there are two major land use categories, viz., urban and agriculture. The land use wise principal component analysis (PCA) suggested that urbanized areas are major contributor of metals, whereas agricultural land contributes organic matter into the river. The Spearman correlation study revealed that with rising urbanization, the pollutant load into the river increased compared to that from agricultural land use. The statistical analysis of the data clearly concluded that water quality of river Ganga at Varanasi was a function of adjacent land use. The study provides an insight anticipating the Indian government to embrace the relationship of land use to river water quality while formulating policies for the upcoming River Regulation Zone.
机译:由于河流与土地的连通性,河流的水质是周围环境和土地利用的函数,导致污染物通过土地寻找途径。这就需要对河流生态进行空间明确的研究。本文提出了一项开创性研究,以建立和探索瓦拉纳西地区恒河的土地利用与水质之间的联系。瓦拉纳西1000公里缓冲半径的20公里河段土地利用土地覆盖(LULC)地图显示,该地区的河岸植被可以忽略不计。 LULC数据的层次聚类分析表明,有两个主要的土地利用类别,即城市和农业。土地使用明智的主成分分析(PCA)表明,城市化地区是金属的主要贡献者,而农业用地则将有机物贡献到河流中。 Spearman相关性研究显示,随着城市化进程的加快,河流中的污染物负荷比农用土地的污染物负荷有所增加。对数据的统计分析清楚地得出结论,瓦拉纳西的恒河水质是相邻土地利用的函数。该研究提供了一个见识,可以预期印度政府在制定即将到来的河流管制区政策时,将土地利用与河流水质的关系纳入考虑。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号