| Issue |
E3S Web Conf.
Volume 98, 2019
16th International Symposium on Water-Rock Interaction (WRI-16) and 13th International Symposium on Applied Isotope Geochemistry (1st IAGC International Conference)
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|---|---|---|
| Article Number | 09025 | |
| Number of page(s) | 4 | |
| Section | Water-Rock Interaction Controlling Water Quality and Human Health Issues | |
| DOI | https://doi.org/10.1051/e3sconf/20199809025 | |
| Published online | 07 June 2019 | |
Risk Assessment of Groundwater Pollution in a Mining Area Based on Physical Processes
1
Key Laboratory of Groundwater Resources and Environment, Ministry of Education, No 2519, Jiefang Road, Changchun 130021, PR China
2
College of New Energy and Environment, Jilin University, No 2519, Jiefang Road, Changchun 130021, PR China
* Corresponding author: 891477089@qq.com
At present, the study of groundwater pollution risk assessment is generally based on the study of groundwater vulnerability. The impact of the pollutants themselves has not been paid more attention. The assessment of the risk of groundwater pollution should include two aspects: one is the contaminated nature of the aquifer itself and the other is spatial distribution of the pollutant. The vulnerability of the aquifer is only the natural susceptibility of the aquifer to the contaminant. Therefore, the risk assessment of groundwater pollution should also reflect the distribution and transport of pollutants in an aquifer. This study takes a tailings area as an example, and puts forward the risk assessment method of groundwater pollution based on physical processes. Before aquifer contamination occurs, the experts determine spatial distribution of each risk level according to the surrounding economic and social sensitivity conditions and hydrogeological conditions; and then use the numerical model to invert the intensity of the pollution source corresponding to each risk level. The results show that this method can express the distribution in space and time of risk level. For a single point source of contamination, this method is better than the previous based on aquifer vulnerability risk assessment method.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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