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Saltwater Intrusion Forecast of the Pleistocene Aquifer Caused by Groundwater Exploiting in the Nam Dinh Coastal Zone

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Abstract

The hydrogeological model is applied and carried out for the Pleistocene confined aquifer systems in the Nam Dinh coastal zone, Vietnam. A 3D groundwater flow and matters spreading numerical model forecast about decreasing of the groundwater level and saltwater intrusion on the coastal areas Hydraulic conductivity K, specific storage µ*, specific yield µ and effective porosity n0 and boundary conditions are calibrated in this model. The simulated results are significant with low errors corresponding the available data. Calibrated model is utilized to forecast about decreasing of the groundwater level and movement of saltwater intrusion boundary into freshwater areas. The simulated results are indicated that freshwater areas are intrused proportional to exploiting reserves. According to currently freshwater exploiting recharge per year in 2014, freshwater areas until 2025 would be falled 4.17% than in 2005. Moreover, with currently freshwater exploiting recharge per year in 2014 for consumption and population growth and pumping-wells along main river setting, freshwater areas are intrused more strongly than the above method, and would be decreased 6.16%.

This paper was completed thank to the support of Vietnam Academy of Science and Technology (VAST) project: “Investigation and assessment salt-freshwater aquifers of Ca Mau province for serving groundwater resources management” code VAST.ĐTCB.03/17-18 and project “Research of saltwater intrusion level in Pleistocene aquifer in Nam Dinh coastal zone due to overexploitation of groundwater”, code VAST06.06/14-15.

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Correspondence to Trinh Hoai Thu .

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Thu, T.H., Van Nghia, N., Huong, T.T.T., Van Thang, D., Hien, N.T. (2018). Saltwater Intrusion Forecast of the Pleistocene Aquifer Caused by Groundwater Exploiting in the Nam Dinh Coastal Zone. In: Otjacques, B., Hitzelberger, P., Naumann, S., Wohlgemuth, V. (eds) From Science to Society. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-65687-8_8

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