Abstract
Karst collapses in Zaozhuang area are the typical karst collapses induced by groundwater over-pum** in north China, which lead to severe economic loss and negative societal influence. Based on the comprehensive analysis of all natural influencing factors and human influencing factors associated with karst collapse in the Zaozhuang Shili Spring Area, China, this paper establishes karst collapse susceptibility evaluation model by means of fuzzy mathematic method, in which the Quantitative theory method was firstly applied in determination of the factor weights. The karst collapse susceptibility evaluation model with 14 evaluation indicators can be effectively used for quantitative evaluation on the karst collapse susceptibility. So, an analysis and evaluation on the karst collapse susceptibility of Zaozhuang Shili Spring Area is completed by means of karst collapse susceptibility evaluation model. The karst collapse area of Zaozhuang region is divided into very high susceptibility area, high susceptibility area, medium susceptibility area and low susceptibility area, which account for about 6.3, 5.2, 10.4 and 78.1 % of the total karst area and the karst collapse susceptibility evaluation map of Zaozhuang Shili Spring Area is completed. The results above will be helpful for the strategic planning and decision-making processes associated with exploitation of karst water resources and with prevention and control of karst collapse hazards of this region.
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References
Achari G (1999) Prediction of the hydraulic conductivity of clays using the electric double layer theory. Can Geotech J 36:783–792
Chen YH, Ye WM, Jiang XM (2010) A fuzzy AHP approach to selecting express railway location in karst region(In Chinese). J Tongji Univ 12:1753–1757
Gao QH (2003) China’s natural disasters and global change[M]. China Meteorological Press, Bei**g, pp 257–260
García-Moreno R, Mateos M (2011) Sinkholes related to discontinuous pum**: susceptibility map** based on geophysical studies. The case of Crestatx(Majorca, Spain). Environ Earth Sci 64:523–537
He KQ, Wang B, Wan JT (2002) Study on forming mechanism of Zaozhuang karst collapse and collapse model (In Chinese). Rock Soil Mech 5:564–569
He KQ, Wang B, Du RL (2005) Karst collapse in North China. Geology Publishing House in China, Bei**g
He KQ, Guo D, Du W, Wang RL (2007) The effects of karst collapse on the environments in north China. Environl Geol 52(3):449–455
He KQ, Zhang SQ, Wang F (2010) The karst collapses induced by environmental changes of the groundwater and their distribution rules in China. Environ Earth Sci 61:1075–1084
Jia YY (2010) The research of karst collapse risk assessment and karst water resource conservation of north China—take the analysis of karst collapse of Shili Spring area in Zaozhuang for instance. Master’s thesis, Qingdao Technological University
Johnson KS (2005) Subsidence hazards due to evaporite dissolution in the United States. Environ Geol 48:395–409
Kang YR (1992) Collapse-causing models in karstic collapse process. Hydrogeol Eng Geol 19(4):31–34
Li GY, Li YZ, Yang RY (2009) Evaluation of the geological hazards and development tendency in Zaozhuang using a fuzzy mathematic model (In Chinese). Chin J Geol Hazard Control 3:81–84
Peng ZZ, Sun YY (2004) Fuzzy mathematics and its applications [M]. Wuhan University Press, Wuhan, pp 225–227
Ruan SY, Wang YL (2004) MATLAB programming [M]. Electronic Industry Press, Bei**g, pp 102–105
Troitzky GM (1993) Sinkhole danger-engineering problem of covered karst, applied karst geology. Balkema, Rotterdam, pp 231–232
Wan JT, Yang RY, Li GY, Li YZ, Qiu HB (2003) Survey and prevention of geological hazards in middle district of Zaozhuang city (In Chinese). Shandong Geol 19(2):87–90
Wan JT, Yang RY, Li GY, Li YZ, Cao Y (2011) The report of investigation of geological hazard and regional division in Shizhong District, Zaozhuang City (in Chinese) [M] Geological-engineering investigation of Southern Shandong, pp 16–33
Wang R. (1982) A discussion of the formation of karst collapse pillars in north China. Hydrogeology and Engineering Geology, pp 37–41
Wang PZ (1984) Fuzzy set theory and its application [M]. Shanghai Science and Technology Press, Shanghai, pp 147–160
Wang B (2002) Study on forming mechanism and seepage-pressure mechanics model of karst collapse in Zaozhuang city (In Chinese). Qingdao Inst Archit Eng 3:68–69
Xu WG, Zhao GR (1981) The implication of suction action for ground subsidence in karst mining areas. Geol Rev 27(2):174–180
Yang MS (2001) Basis and mathematical software MATLAB [M]. Dalian University of Technology Press, Bei**g, pp 35–36
Yechieli Y, Abelson M, Bein A, Crouvi V, Shtivelman V (2006) Sinkholes “swarms” along the Dead Sea coast: reflection of disturbance of lake and adjacent groundwater systems. Geological Society of America, Special Paper, pp 118, 1075–1087
Yilmaz M, Marschalko MB (2011) Gypsum collapse hazards and importance of hazard map**. Carbonate Evaporite 26:193–209
Zeng YY, Zheng XZ (2006) Fuzzy evaluation method for karst collapse risk (In Chinese). J Eng Geol 4:62–65
Zhang YJ (1985) Applied karstology and the caves. Guizhou People’s Publishing House, Guiyang
Zhang WX (1991) Fuzzy mathematics introduction [M]. **’an Jiaotong University Press, **’an, pp 309–312
Zhang P (2001) Concise guide to MATLAB fundamentals and applications [M]. Bei**g Aerospace University Press, Bei**g, pp 57–60
Zhang RF (2004) Proficient in MATLAB 6.5 [M]. China Water Power Press, Bei**g, pp 45–46
Zheng L, Dong Y (2004) The C ++ programming language [M]. Tsinghua University Press, Bei**g, pp 133–144
Zhou TW (1993) A concise guide to the basis of fuzzy mathematics [M]. Huazhong University of Science and Technology Press, Wuhan, pp 327–332
Acknowledgments
The study presented is supported by the Special Research Foundation of Doctoral Program of the Ministry of Education (No. 20113721110002), the Open Research Foundation of Water Resources and Hydropower Research of China (No. IWHRKF2010119). Thanks to Prof. Liang Yong**, Karst Research Institute of Gulin, for supporting the authors with the valuable karst collapse data. Postgraduates Zhang Bing and Qian Miaomiao have done a lot of significant work in the data analysis for this paper. The authors are indebted to them for their work.
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He, K., Jia, Y., Wang, B. et al. Comprehensive fuzzy evaluation model and evaluation of the karst collapse susceptibility in Zaozhuang Region, China. Nat Hazards 68, 613–629 (2013). https://doi.org/10.1007/s11069-013-0653-7
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DOI: https://doi.org/10.1007/s11069-013-0653-7