首页> 外文期刊>Open Engineering >Modeling the risk of groundwater contamination using modified DRASTIC and GIS in Amman-Zerqa Basin, Jordan
【24h】

Modeling the risk of groundwater contamination using modified DRASTIC and GIS in Amman-Zerqa Basin, Jordan

机译:使用约旦安曼-泽卡盆地的改良DRASTIC和GIS对地下水污染的风险进行建模

获取原文
           

摘要

Amman-Zerqa Basin (AZB) is the second largest groundwater basin in Jordan with the highest abstraction rate, where more than 28% of total abstractions in Jordan come from this basin. In view of the extensive reliance on this basin, contamination of AZB groundwater became an alarming issue. This paper develops a Modified DRASTIC model by combining the generic DRASTIC model with land use activities and lineament density for the study area with a new model map that evaluates pollution potential of groundwater resources in AZB to various types of pollution. It involves the comparison of modified DRASTIC model that integrates nitrate loading along with other DRASTIC parameters. In addition, parameters to account for differences in land use and lineaments density were added to the DRASTIC model to reflect their influences on groundwater pollution potential. The DRASTIC model showed only 0.08% (3 km2) of the AZB is situated in the high vulnerability area and about 30% of the basin is located in the moderately vulnerable zone (mainly in central basin). After modifying the DRASTIC to account for lineament density, about 87% of the area was classified as having low pollution potential and no vulnerability class accounts for about 5.01% of the AZB area. The moderately susceptible zone covers 7.83% of the basin’s total area and the high vulnerability area constitutes 0.13%. The vulnerability map based on land use revealed that about 71% of the study area has low pollution potential and no vulnerability area accounts for about 0.55%, whereas moderate pollution potential zone covers an area of 28.35% and the high vulnerability class constitutes 0.11% of AZB. The final DRASTIC model which combined all DRASTIC models shows that slightly more than 89% of the study area falls under low pollution risk and about 6% is considered areas with no vulnerability. The moderate pollution risk potential covers an area of about 4% of AZB and the high vulnerability class constitutes 0.21% of the basin. The results also showed that an area of about 1761 km2 of bare soils is of low vulnerability, whereas about 28 km2 is moderately vulnerable. For agriculture and the urban sector, approximately 1472 km2 are located within the low vulnerability zone and about 144 km2 are moderately vulnerable, which together account for about 8% of the total agriculture and urban area. These areas are contaminated with human activities, particularly from the agriculture. Management of land use must be considered when changing human or agricultural activity patterns in the study area, to reduce groundwater vulnerability in the basin. The results also showed that the wells with the highest nitrate levels (81–107 mg/l) were located in high vulnerable areas and are attributed to leakage from old sewage water.
机译:安曼-扎卡盆地(AZB)是约旦的第二大地下水盆地,抽取率最高,约旦总抽取量中有28%以上来自该盆地。鉴于对该盆地的广泛依赖,AZB地下水的污染已成为一个令人担忧的问题。本文通过将通用DRASTIC模型与研究区域的土地利用活动和线密度相结合,开发了一种改良的DRASTIC模型,该模型可以评估AZB中地下水资源对各种类型污染的潜在污染。它涉及比较改进的DRASTIC模型,该模型将硝酸盐负荷与其他DRASTIC参数集成在一起。此外,在DRASTIC模型中添加了用于解释土地利用和线型密度差异的参数,以反映它们对地下水污染潜力的影响。 DRASTIC模型显示,仅AZB的0.08%(3 km2)位于高脆弱性区域,而盆地的约30%位于中等脆弱性区域(主要在中部盆地)。修改DRASTIC以说明线条密度之后,将大约87%的区域归为具有低污染潜力,并且没有脆弱性类别大约占AZB区域的5.01%。中度敏感区占流域总面积的7.83%,高脆弱区占0.13%。基于土地利用的脆弱性图显示,约71%的研究区域具有低污染潜力,没有脆弱性区域约占0.55%,而中等污染潜在区域覆盖了28.35%的区域,高脆弱性类别占研究区域的0.11% AZB。最终的DRASTIC模型结合了所有DRASTIC模型,表明略高于89%的研究区域处于低污染风险下,而大约6%的研究区域被认为没有脆弱性。潜在的中度污染风险覆盖了AZB的约4%区域,高脆弱性类别占流域的0.21%。结果还表明,裸土面积约1761 km2的脆弱性较低,而28 km2的中等脆弱性。就农业和城市部门而言,低脆弱性区域内约有1472平方公里,中度脆弱性约为144平方公里,这两个地区合计约占农业和城市总面积的8%。这些地区受到人类活动,特别是农业活动的污染。当改变研究区域的人类或农业活动方式时,必须考虑土地利用的管理,以减少流域的地下水脆弱性。结果还表明,硝酸盐含量最高的井(81-107 mg / l)位于高脆弱地区,这归因于旧污水的泄漏。

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