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A method for the optimization of sensor locations in water distribution networks is presented with respect to effective and efficient detection of contaminations. The optimization problem is formulated as a twin-objective minimization problem with the objectives being the sensor cost and the risk of contamination. Unlike past approaches, the risk of contamination is explicitly evaluated as the product...
Non linear flow augmentation model has been presented here. The model is built on an analogy of load flow problem in an interconnected power system; with a proven convexity under the various constraints. It is capable of incorporating water quality of the augmentation source, and changes in the water quality in river base flow due to augmentation. Further, the mathematical model has been used to pretense...
As the increasing water demand and serious water pollution, conventional allocation pattern, which mainly considers water quantity as the key factor, is no longer satisfying the water allocation need. An integrated water quantity-quality method for water resource management in a river basin is presented in this paper. The method considers both water quantity and quality in the water allocation process,...
As the increasing water demand and serious water pollution, conventional allocation pattern, which mainly considers water quantity as the key factor, is no longer satisfying the water allocation need. A coupled water quantity-quality model for water resource allocation in a river basin is presented in this paper. The model involves pollutants transport and hydrological cycling processes in the river...
In this paper, an undisturbed soil-column experiment and its mathematical model are investigated, and an inverse problem of determining the unknown source/sink parameter and adsorption coefficient simultaneously is considered with the additional breakthrough data. By applying an optimal perturbation algorithm, jiont inversions for the source/sink term and the adsorption coefficient are successfully...
This article describes how to use a three-dimensional MODFLOW model, paired with MT3D, to predict groundwater pollution caused by oil pipeline leakage. Then using geological and hydraulic data, the potential area of oil pollutant transport and its concentration were simulated by MODFLOW and MT3D, making it possible to ultimately predict the scope and extent of groundwater pollution. The model is a...
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