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首页> 外文期刊>Water Research >Development of groundwater vulnerability zones in a data-scarce eogenetic karst area using Head-Guided Zonation and particle tracking simulation methods
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Development of groundwater vulnerability zones in a data-scarce eogenetic karst area using Head-Guided Zonation and particle tracking simulation methods

机译:利用Head-Guided Zonation和粒子跟踪模拟方法开发数据稀缺的岩溶岩溶地区的地下水脆弱区

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摘要

Delineation of groundwater vulnerability zones based on a valid groundwater model is crucial towards an accurate design of management strategies. However, limited data often restrain the development of a robust groundwater model. This study presents a methodology to develop groundwater vulnerability zones in a data-scarce area. The Head-Guided Zonation (HGZ) method was applied on the recharge area of Oemau Spring in Rote Island, Indonesia, which is under potential risk of contamination from rapid land use changes. In this method the model domain is divided into zones of piecewise constant into which the values of subsurface properties are assigned in the parameterisation step. Using reverse particle-tracking simulation on the calibrated and validated groundwater model, the simulation results (travel time and pathline trajectory) were combined with the potential groundwater contamination risk from human activities (land use type and current practice) to develop three vulnerability zones. The corresponding preventive management strategies were proposed to protect the spring from contamination and to ensure provision of safe and good quality water from the spring. (C) 2017 Elsevier Ltd. All rights reserved.
机译:根据有效的地下水模型划分地下水脆弱区对于准确设计管理策略至关重要。但是,有限的数据通常会限制强大的地下水模型的开发。这项研究提出了一种在数据稀缺地区开发地下水脆弱区的方法。在印度尼西亚罗特岛的Oemau Spring补给区采用了“先导引导区划(HGZ)”方法,该地区面临着土地快速变化带来的潜在污染风险。在这种方法中,将模型域划分为分段常数区域,在参数化步骤中将地下属性的值分配给这些区域。在经过校准和验证的地下水模型上使用反向粒子跟踪模拟,将模拟结果(行进时间和路径轨迹)与人类活动(土地利用类型和当前实践)带来的潜在地下水污染风险相结合,以开发出三个脆弱性区域。提出了相应的预防性管理策略,以保护弹簧不受污染并确保从弹簧中提供安全优质的水。 (C)2017 Elsevier Ltd.保留所有权利。

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