Integrated planning and spatial evaluation of megasite remediation and reuse options.

A comprehensive review of groundwater vulnerability assessment using index-based, modelling, and coupling methods.

Applying a multi-criteria genetic algorithm framework for brownfield reuse optimization: Improving redevelopment options based on stakeholder preferences

GIS-based hydrogeochemical analysis tools (QUIMET)

We describe a modeling suite of Matlab functions for simulating nonpoint source (NPS) pollution in groundwater aquifers The NPS model simulates groundwater flow and contaminant transport from a large array (order of 102 - 107) of spatially distributed sources with time-varying pollution strength to a similarly large array of spatially distributed production wells (receptors) using the streamline transport approach The code solves three equations: steady-state groundwater flow, particle tracking, and transient advection dispersion contaminant transport The code performs convolution integration in its predictive step Written in highly efficient vectorized form to avoid time consuming "for/while" loops, the code is also suitable for other groundwater flow and transport problems The code is verified against analytical solutions and finite element software Comsol An application illustrates 200 years of transient nitrate transport in the 2000Â?km2 Tule River aquifer sub-basin of the Central Valley, California, with 9000 individual nitrate sources and 1920 wells We develop an efficient numerical code for the simulation of non-point source contamination in groundwater basinsThe code simulates 3D steady state groundwater flow, particle tracking and 1D transient contaminant transportIt is suitable for large scale applications

Vectorized simulation of groundwater flow and streamline transport

This paper introduces a new interpolation method to estimate the spatial distribution of contaminant concentrations in groundwater. The method is intended to identify areas of risks in early investigation stages when groundwater sampling data is typically scarce and available interpolation methods fail to provide reasonable results. As a consequence, the method does not only incorporate available sampling data, but also makes use of information about the groundwater flow field, in order to ''guide'' the interpolation with e.g. ordinary kriging or inverse distance method. The guidance includes the augmentation of available data by auxiliary point data and the segmentation of the estimated plume area into a series of sectors. The method is evaluated for several settings and different sampling data sets. Each data set reflects a specific level of field investigations at the model site, an abandoned military base in Potsdam near Berlin, Germany. The results reveal that flow guidance improves the representation of contaminant distribution for all cases examined in this study compared to ''unguided'' interpolation. These findings are underpinned by the results of the method's application to real sampling data. The method especially shows its strength when data of only a few sampling points are available.

Flow guided interpolation - A GIS-based method to represent contaminant concentration distributions in groundwater

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Flow guided interpolation - A GIS-based method to represent contaminant concentration distributions in groundwater