Comprehensive evaluation method of groundwater environment in a mining area based on fuzzy set theory

References

• Bayer, P., Duran, E., Baumann, R., & Finkel, M. (2009). Optimized groundwater drawdown in a subsiding urban mining area. Journal of Hydrology, 365(1), 95–104.10.1016/j.jhydrol.2008.11.028
   Web of Science ®Google Scholar
• Bu, H., Sun, Y. B., Ye, J. X., & Chen, H. N. (2007). Preliminary study on prevention strategies on main geological environment problems caused by coalfield exploitation in Juye, Shandong Province. The Chinese Journal of Geological Hazard and Control, 02, 140–144.
   Google Scholar
• Bu, H., & Wang, Y. S. (2005). Investigation report on environmental and geological background of Juye extra large coalfield in Shandong Province. Yanzhou: Lunan Geological Engineering Survey Institute.
   Google Scholar
• Chen, L., Wang, B. Z., Jiang, L. R., Liu, W. H., & Liu, Y. L. (2010). Influence of surface mining to groundwater and its protection measures. Ground Water, 05, 3–5. (In Chinese).
   Google Scholar
• Elsworth, D., Liu, J., & Ouyang, Z. (1994). Some approaches determine the potential influence of longwall mining on ground water resources. In Proceedings of Int. Land Reclamation and Mine Drainage Conference and 3rd Int. Conference on the Abatement of Acidic Drainage, 4, 172–179.
   Google Scholar
• Gangopadhyay, S., Das Gupta, A., & Nachabe, M. H. (2001). Evaluation of ground water monitoring network by principal component analysis. Ground Water, 39(2), 181–191.10.1111/gwat.2001.39.issue-2
   PubMed Web of Science ®Google Scholar
• Hosseini, S. M., & Mahjouri, N. (2014). Developing a fuzzy neural network-based support vector regression (FNN-SVR) for regionalizing nitrate concentration in groundwater. Environmental Monitoring and Assessment, 186(6), 3685–3699.10.1007/s10661-014-3650-8
   PubMed Web of Science ®Google Scholar
• Huang, S., Li, X., & Wang, Y. (2012). A new model of geo-environmental impact assessment of mining: A multiple-criteria assessment method integrating Fuzzy-AHP with fuzzy synthetic ranking. Environmental Earth Sciences, 66(1), 275–284.10.1007/s12665-011-1237-z
   Web of Science ®Google Scholar
• Kickert, W. J., & Mamdani, E. H. (1978). Analysis of a fuzzy logic controller. Fuzzy Sets and Systems, 1(1), 29–44.10.1016/0165-0114(78)90030-1
   Google Scholar
• Li, R., Zou, Z., & An, Y. (2016). Water quality assessment in Qu River based on fuzzy water pollution index method. Journal of Environmental Sciences, 50, 87–92.10.1016/j.jes.2016.03.030
   Web of Science ®Google Scholar
• Nasrabadi, T., Bidhendi, G. N., Karbassi, A. R., Hoveidi, H., Nasrabadi, I., Pezeshk, H., & Rashidinejad, F. (2009). Influence of Sungun copper mine on groundwater quality, NW Iran. Environmental Geology, 58(4), 693–700.10.1007/s00254-008-1543-2
   Web of Science ®Google Scholar
• Ngah, S. A., Reed, S. M., & Singh, R. N. (1984). Groundwater problems in surface mining in the United Kingdom. International Journal of Mine Water, 3(1), 1–12.
   Google Scholar
• Ocampo-Duque, W., Ferre-Huguet, N., Domingo, J. L., & Schuhmacher, M. (2006). Assessing water quality in rivers with fuzzy inference systems: A case study. Environment International, 32(6), 733–742.10.1016/j.envint.2006.03.009
   PubMed Web of Science ®Google Scholar
• Ock, J. H., & Han, S. H. (2010). Measuring risk-associated activity’s duration: A fuzzy set theory application. KSCE Journal of Civil Engineering, 14(5), 663–671.10.1007/s12205-010-1003-x
   Web of Science ®Google Scholar
• Qiao, X., Li, G., Li, M., Zhou, J., Du, J., Du, C., & Sun, Z. (2011). Influence of coal mining on regional karst groundwater system: A case study in West Mountain area of Taiyuan City, northern China. Environmental Earth Sciences, 64(6), 1525–1535.10.1007/s12665-010-0586-3
   Web of Science ®Google Scholar
• Otero, N., & Soler, A. (2002). Sulphur isotopes as tracers of the influence of potash mining in groundwater salinisation in the Llobregat Basin (NE Spain). Water Research, 36(16), 3989–4000.10.1016/S0043-1354(02)00125-2
   PubMed Web of Science ®Google Scholar
• Pacheco-Martínez, J., Hernandez-Marín, M., Burbey, T. J., González-Cervantes, N., Ortíz-Lozano, J. Á., Zermeño-De-Leon, M. E., & Solís-Pinto, A. (2013). Land subsidence and ground failure associated to groundwater exploitation in the Aguascalientes Valley, Mexico. Engineering Geology, 164, 172–186.10.1016/j.enggeo.2013.06.015
   Web of Science ®Google Scholar
• Qiu, M. L., Liu, L. H., Zou, X. W., & Wu, L. X. (2013). Comparison of water quality evaluation standards and evaluation methods between at home and abroad. Journal of China Institute of Water Resources and Hydropower Research, 11(3), 176–182 . (In Chinese).
   Google Scholar
• Liu, Y., Zheng, B. H., Fu, Q., Luo, Y. P., & Wang, M. (2013). Application of water pollution index in water quality assessment of rivers. Environmental Monitoring in China, 29(3), 49–55.
   Google Scholar
• Sowlat, M. H., Gharibi, H., Yunesian, M., Tayefeh Mahmoudi, M., & Lotfi, S. (2011). A novel, fuzzy-based air quality index (FAQI) for air quality assessment. Atmospheric Environment, 45(12), 2050–2059.10.1016/j.atmosenv.2011.01.060
   Web of Science ®Google Scholar
• Teng, D. B. (2011). Study on Comprehensive Evaluation of Eco-geological Environment of Juye Oversize Coalfield. Jilin University.
   Google Scholar
• Tostado, M., Rosas-Elguera, J., & Gomez Hermosillo, C. (2008). Hydrogeochemical analyses of groundwater from Ameca, Jalisco Mexico. In AGU Spring Meeting Abstracts, 1, 13.
   Google Scholar
• Wang, W., Jin, J., Ding, J., & Li, Y. (2009). A new approach to water resources system assessment—set pair analysis method. Science in China Series E: Technological Sciences, 52(10), 3017–3023.10.1007/s11431-009-0099-z
   Google Scholar
• Woldt, W. E., Dvorak, B. I., & Dahab, M. F. (2003). Application of fuzzy set theory to industrial pollution prevention: Production system modeling and life cycle assessment. Soft Computing, 7(6), 419–433.10.1007/s00500-002-0231-5
   Web of Science ®Google Scholar
• Xu, Y. S., Shen, S. L., Cai, Z. Y., & Zhou, G. Y. (2008). The state of land subsidence and prediction approaches due to groundwater withdrawal in China. Natural Hazards, 45(1), 123–135.10.1007/s11069-007-9168-4
   Web of Science ®Google Scholar
• Xue, X., & Yang, X. (2014). Seismic liquefaction potential assessed by fuzzy comprehensive evaluation method. Natural Hazards, 71(3), 2101–2112.10.1007/s11069-013-0997-z
   Web of Science ®Google Scholar
• Yang, S. P., Ding, J. P., & Cao, X. M. (2009). Study on influence of coal mining on groundwater environment in Bijie area. Ground Water, 6, 038. (In Chinese).
   Google Scholar
• Zadeh, L. A. (1965). Fuzzy sets inform. Control, 8(65), 338–353.10.1016/S0019-9958(65)90241-X
   Google Scholar
• Zhang, D. B., & Gao, J. G. (2003). The application of grey clustering analysis in environmental evaluation of groundwater. Journal of Guangdong University of Technology, 3, 84–86. (In Chinese).
   Google Scholar
• Zhang, L. J., Gun, Z. Y., & Sun, X. T. (2001). Fuzzy comprehensive judgement of groundwater environmental vulnerability. Natural science journal of Harbin Normal University, 17(2), 109–112. (In Chinese).
   Google Scholar
• Zou, Z. H., Yun, Y., & Sun, J. N. (2006). Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 18(5), 1020–1023.10.1016/S1001-0742(06)60032-6
   Web of Science ®Google Scholar