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Estimation of Optimal Groundwater Substitution Volumes Using a Distributed Parameter Groundwater Model and Prediction Uncertainty Analysis

机译:使用分布式参数地下水模型和预测不确定性分析估算最佳地下水替代量

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This paper describes the development of a methodology that can be used for determining the spatial and temporal distribution of additional water volumes required to meet a defined groundwater target, such as an historical peizometric surface. The methodology is demonstrated on a case study concerned with mitigating declining groundwater levels in an alluvial aquifer intensively used for agriculture in the Lockyer Valley, Queensland, Australia. The proposed mitigation measure is the importing of large volumes of purified recycled water (PRW) from a large scale indirect potable reuse scheme into the aquifer system. The developed methodology employs both a groundwater flow model together with linear uncertainty analysis. Therefore for the case study, a distributed parameter numerical groundwater flow model was developed for the Lockyer valley alluvial aquifer system using MODFLOW, calibrated to observed groundwater levels, and further constrained by estimates of diffuse and river recharge from water balance studies. The model was used to simulate groundwater levels in the aquifer over a 20-year period. Optimal spatial and temporal distribution of volumes of imported water required to mitigate declining groundwater levels over that period were then estimated, using a modified version of the MODFLOW General Head Boundary (GHB) package. Uncertainty in the predicted import volumes was estimated using linear bayesian analysis principles. The relative worth of data from each observation bore within the groundwater monitoring network was also assessed in terms of the extent to which predictions of import water volumes were made more reliable when furnished with that data. Application of the methodology to the Lockyer alluvial aquifer system illustrated the suitability of the developed methodology for estimating the additional water volumes required for managed aquifer recharge or groundwater substitution schemes in similarly over-exploited aquifers.
机译:本文描述了一种可用于确定满足定义的地下水目标(例如历史测压表面)所需的额外水量的时空分布的方法的开发。在澳大利亚昆士兰州洛克耶山谷的一个集约化农业用冲积含水层中,有关减轻缓解地下水位下降的案例研究证明了该方法。拟议的缓解措施是将大规模的间接饮用水再利用方案中的大量纯净循环水(PRW)进口到含水层系统中。所开发的方法同时采用了地下水流模型和线性不确定性分析。因此,在本案例研究中,使用MODFLOW为Lockyer山谷冲积含水层系统开发了一个分布式参数数值地下水流模型,并根据观测到的地下水水位进行了校准,并进一步受到了水平衡研究的扩散和河流补给的估计的约束。该模型用于模拟20年内含水层中的地下水位。然后,使用MODFLOW总水头边界(GHB)软件包的改进版,估算了缓解该时期地下水水位下降所需的进口水量的最佳时空分布。使用线性贝叶斯分析原理估算了预计进口量的不确定性。还评估了地下水监测网络内每个观测孔的相对数据价值,即在提供这些数据时,使进口水量预测更可靠的程度。该方法在洛克伊尔冲积含水层系统中的应用表明,该开发方法适用于估算在过度开采的类似含水层中管理的含水层补给或地下水替代方案所需的额外水量。

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