首页> 外文期刊>Environmental engineering research >Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia
【24h】

Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia

机译:使用改进的DRASTIC模型在沙特阿拉伯冰雹地区的部分地区进行地下水污染风险制图

获取原文
获取原文并翻译 | 示例
           

摘要

The present study deals with the management of groundwater resources of an important agriculture track of north-western part of Saudi Arabia. Due to strategic importance of the area efforts have been made to estimate aquifer proneness to attenuate contamination. This includes determining hydrodynamic behavior of the groundwater system. The important parameters of any vulnerability model are geological formations in the region, depth to water levels, soil, rainfall, topography, vadose zone, the drainage network and hydraulic conductivity, land use, hydrochemical data, water discharge, etc. All these parameters have greater control and helps determining response of groundwater system to a possible contaminant threat. A widely used DRASTIC model helps integrate these data layers to estimate vulnerability indices using GIS environment. DRASTIC parameters were assigned appropriate ratings depending upon existing data range and a constant weight factor. Further, land-use pattern map of study area was integrated with vulnerability map to produce pollution risk map. A comparison of DRASTIC model was done with GOD and AVI vulnerability models. Model validation was done with NO_3, SO_4 and Cl concentrations. These maps help to assess the zones of potential risk of contamination to the groundwater resources.
机译:本研究涉及沙特阿拉伯西北部重要农业区的地下水资源管理。由于该地区的战略重要性,已做出努力来估算含水层减弱污染的倾向。这包括确定地下水系统的水动力行为。任何脆弱性模型的重要参数是该地区的地质构造,水位深度,土壤,降雨,地形,渗流带,排水网络和水力传导率,土地利用,水化学数据,排水量等。所有这些参数都具有更好的控制并帮助确定地下水系统对可能的污染物威胁的响应。广泛使用的DRASTIC模型有助于集成这些数据层,以使用GIS环境评估漏洞指数。根据现有数据范围和恒定的权重系数,为DRASTIC参数分配适当的等级。此外,将研究区的土地利用格局图与脆弱性图整合在一起,以产生污染风险图。 DRASTIC模型与GOD和AVI漏洞模型进行了比较。使用NO_3,SO_4和Cl浓度进行模型验证。这些地图有助于评估可能污染地下水资源的区域。

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