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Depletion percentage and nonlinear transmissivity as design criteria for groundwater-level observation networks
Environmental Earth Sciences ( IF 2.8 ) Pub Date : 2020-08-08 , DOI: 10.1007/s12665-020-09123-y
Jesse T. Korus , Heidi J. Hensen

Intensive use of groundwater for irrigation has depleted available supplies in many areas of the world. Depletion reduces well yields, which negatively impacts agricultural productivity and profitability. The impact of groundwater depletion on wells depends on the relative changes in saturated thickness (depletion percentage) and the rates of change in transmissivity during depletion (nonlinear transmissivity). In heterogeneous aquifers of variable saturated thickness, the impacts on wells vary in time and space. An observation well network designed to account for these spatiotemporal variations is a key part of achieving sustainable development of groundwater. This paper presents a framework for incorporating estimates of depletion percentage and nonlinear transmissivity into GIS-based multicriteria analysis for observation-well network design. The workflow includes (1) selection of criteria using stakeholder input, (2) assessment of data quality, (3) interpolation of hydrogeologic surfaces with prediction standard errors, (4) estimation of hydraulic conductivity values, (5) calculation of saturated thickness and transmissivity using 3 and 4 above, (6) mapping of well densities, and (7) normalization of raster values and calculation of a priority index map. The framework is widely applicable, but flexible to adapt to local needs. By incorporating depletion percentage and nonlinear transmissivity, the methodology can help management agencies prioritize monitoring locations in areas where future depletions could have the greatest impacts on well yields.

中文翻译:

枯竭率和非线性透射率作为地下水位观测网络的设计标准

大量使用地下水进行灌溉已经耗尽了世界许多地区的可用水。枯竭会降低油井单产,对农业生产率和利润率产生负面影响。地下水枯竭对井的影响取决于饱和厚度的相对变化(枯竭百分比)和枯竭过程中透射率的变化率(非线性透射率)。在具有不同饱和厚度的非均质含水层中,对井的影响会随时间和空间而变化。旨在解决这些时空变化的观测井网络是实现地下水可持续发展的关键部分。本文提出了一个框架,用于将损耗百分比和非线性透射率的估计值合并到基于GIS的多标准分析中,用于观测井网络设计。工作流程包括(1)使用利益相关者输入选择标准,(2)评估数据质量,(3)预测标准误差的水文地质表面插值,(4)估算水力传导率值,(5)计算饱和厚度和透射率,使用上面的3和4,(6)井密度的映射,以及(7)栅格值的归一化和优先级索引图的计算。该框架广泛适用,但可以灵活地适应本地需求。通过结合损耗百分比和非线性透射率,该方法可以帮助管理机构确定监测区域的位置,这些区域中未来的损耗可能会对油井产量产生最大影响。(3)用预测标准误差对水文地质表面进行插值;(4)估算水力传导率值;(5)使用上述3和4计算饱和厚度和透射率;(6)测井密度映射;以及(7)归一化栅格值和优先级索引图的计算。该框架广泛适用,但可以灵活地适应本地需求。通过结合损耗百分比和非线性透射率,该方法可以帮助管理机构确定监测区域的位置,这些区域中未来的损耗可能会对油井产量产生最大影响。(3)用预测标准误差对水文地质表面进行插值;(4)估算水力传导率值;(5)使用上述3和4计算饱和厚度和透射率;(6)测井密度映射;以及(7)归一化栅格值和优先级索引图的计算。该框架广泛适用,但可以灵活地适应本地需求。通过结合损耗百分比和非线性透射率,该方法可以帮助管理机构确定监测区域的位置,这些区域中未来的损耗可能会对油井产量产生最大影响。(7)栅格值的归一化和优先级索引图的计算。该框架广泛适用,但可以灵活地适应本地需求。通过结合损耗百分比和非线性透射率,该方法可以帮助管理机构确定监测区域的位置,这些区域中未来的损耗可能会对油井产量产生最大影响。(7)栅格值的归一化和优先级索引图的计算。该框架广泛适用,但可以灵活地适应本地需求。通过结合损耗百分比和非线性透射率,该方法可以帮助管理机构优先确定未来损耗可能对油井产量产生最大影响的区域的监测位置。
更新日期:2020-08-08
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