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Optimal sampling in a noisy genetic algorithm for risk-based remediation design
Optimal sampling noisy genetic algorithm risk-based remediation design
2009/12/4
A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify promising risk-based corrective action (RBCA) designs. Noisy genetic a...
The Use of Neural Networks and Genetic Algorithms for Design of Groundwater Remediation Schemes
Neural Networks groundwater pollution Groundwater Remediation Schemes
2009/6/8
The increasing incidence of groundwater pollution has led to recognition of a need to develop objective techniques for designing reniediation schemes. This paper outlines one such possibility for dete...
Stream water quality in acid sensitive UK upland areas：an example of potential water quality remediation based on groundwater manipulation
Stream water quality potential water quality groundwater manipulation
2009/6/8
The patterns of variation in water quality for an acidic stream draining plantation forest overlying acidic and acid sensitive gley soils with shale and slate bedrock changed following the introductio...
The potential for phosphorus pollution remediation by calcite precipitation in UK freshwaters
calcite calcium carbonate
2009/3/23
This paper examines the potential for calcium carbonate to reduce phosphate pollution in freshwaters by co-precipitation, a process known as a "self cleansing mechanism". Calcium carbonate saturation ...
