Borehole Optimisation System (BOS) - A case study assessing options for abstraction of urban groundwater in Nottingham, UK

摘要: The recognition that urban groundwater is a potentially valuable resource for potable and industrial uses due to growing pressures on perceived less polluted rural has led requirement assess the contamination risk in areas from contaminants such as chlorinated solvents. development of probabilistic based management tool predicts quality at potential new boreholes beneficial determining best sites future development. Borehole Optimisation System (BOS) custom Geographic Information (GIS) application been developed with objective identifying optimum locations abstraction boreholes. BOS can be applied any aquifer subject variable risk. system described more detail by Tait et al. [Tait, N.G., Davison, J.J., Whittaker, Leharne, S.A. Lerner, D.N., 2004a. - GIS analysis optimising use groundwater. Environmental Modelling Software 19, 1111-1124]. This paper applies model an Permo-Triassic Sandstone city centre Nottingham, UK. pollution solvent tetrachloroethene (PCE) was assessed this region. validated against contaminant concentrations 6 actual field within study area. In these studies generally underestimated concentrations. A sensitivity showed most responsive parameters were recharge, effective porosity degradation rate. Multiple simulations undertaken across area order create surface maps indicating low PCE concentrations, thus place Results indicate northeastern, eastern central regions have lowest therefore are locating These coincide confined permeability Mercia Mudstone deposits. Conversely southern northwestern unconfined shallower depth highest demonstrate applicability informing decision makers resources.