naa a22 4500 510752462 CHVBK 20180411083109.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11270-013-1438-z doi (NATIONALLICENCE)springer-10.1007/s11270-013-1438-z Application of MT3DMS and Geographic Information System to Evaluation of Groundwater Contamination in the Sherwood Sandstone Aquifer, UK [Elektronische Daten] [Han Zhang, Wen Xu, Kevin Hiscock] Groundwater quality usually correlated with different land use types. As Britain's second largest aquifer, the Sherwood Sandstone is confronted by the threat of high nitrate concentrations caused by intensive agricultural activities. The aim of this study is to estimate nitrogen loss on the aquifer outcrop and to predict nitrate concentration in groundwater in the future appropriately. GIS was used in the study for spatial analysis of land use data, pre-processing nitrate inputs for a groundwater model. An export coefficient model was adopted to help estimation of nitrogen losses in the study area. A groundwater flow and mass transport model was constructed and calibrated to groundwater level in 45 monitoring points and nitration concentration in 22 public supply boreholes, respectively. Then, the calibrated model was used to predict nitrate concentrations in groundwater boreholes to explore nitrate trend in the future under current land use mode and agricultural practice. The simulative results show that even if some moderate mitigation methods are adopted, nitrate concentrations in boreholes would increase in the future (before eventually decreasing) and fail to meet water quality standards (50mg NO3/L). The nitrate concentration would reach 73mg L−1 in selected borehole by December 2025 unless more radical changes in land use were adopted. It is concluded that a time scale of several decades may be considered for the sandstone aquifer in the context of nutrient management and nitrate mitigation in order to achieve improvements in water quality. Springer Science+Business Media Dordrecht, 2013 Land use nationallicence Nitrate nationallicence Groundwater pullution nationallicence Export coefficient nationallicence Groundwater modeling nationallicence Zhang Han State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China aut Xu Wen State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China aut Hiscock Kevin School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK aut Water, Air, & Soil Pollution Springer Netherlands 224/2(2013-02-01), 1-19 0049-6979 224:2<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1438-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1438-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Han State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China aut NATIONALLICENCE 700 1- Xu Wen State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China aut NATIONALLICENCE 700 1- Hiscock Kevin School of Environmental Sciences, University of East Anglia, NR4 7TJ, Norwich, UK aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/2(2013-02-01), 1-19 0049-6979 224:2<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer