Multiple geo-environmental hazards susceptibility assessment: a case study in Luoning County, Henan Province, China

References

• Arnous MO, Aboulela HA, Green DR. 2011. Geo-environmental hazards assessment of the north western Gulf of Suez. J Coast Conserv. 15(1):37.
   Google Scholar
• Bathrellos GD, Skilodimou HD, Chousianitis K, Youssef AM, Pradhan B. 2017. Suitability estimation for urban development using multi-hazard assessment map. Sci Total Environ. 575:119–134.
   Google Scholar
• Catani F, Casagli N, Ermini L, Righini G, Menduni G. 2005. Landslide hazard and risk mapping at catchment scale 2005 Arno River basin. Landslides. 2(4):329–342.
   Google Scholar
• Chang J, Miao CH, Li B, Liu JY, Xiao Y, Li YL. 2003. Studies on spatial temporal change of cultivated land in the middle Yiluo Basin on RS and GIS technology – a case study of Luoning County. J Henan Agric Sci. 7:37–39.
   Google Scholar
• Chen MQ, Cai HS. 2005. Comprehensive evaluation of natural factors fragile of eco-environment in Poyang Lake region. Chin J Eco Agric. 13(4):181–183.
   Google Scholar
• Chen YP. 2010. GIS based landslide susceptibility assessment of Guizhou province using multi-model comprehensive evaluation [master’s thesis]. Changsha: Central South University.
   Google Scholar
• Chung CJF, Fabbri AG. 2003. Validation of spatial prediction models for landslide hazard mapping. Nat Hazards. 30(3):451–472.
   Google Scholar
• Elmahdy SI, Mostafa MM. 2013. Natural hazards susceptibility mapping in Kuala Lumpur, Malaysia: an assessment using remote sensing and geographic information system (GIS). Geomat Nat Hazards Risk. 4(1):71–91.
   Google Scholar
• Fang JY. 2018. Landslide susceptibility assessment based on GIS and logistic regression model. Pearl River. 39(4):66–70.
   Google Scholar
• Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ. 2008. Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning. Eng Geol. 102(3–4):99–111.
   Google Scholar
• Feng L, Xu JH. 2010. Study on development patterns of geological hazards in Western Henan Province. Bull Henan Earth Sci. 5:350–354.
   Google Scholar
• Frattini P, Crosta G, Carrara A, Agliardi F. 2008. Assessment of rockfall susceptibility by integrating statistical and physically-based approaches. Geomorphology. 94(3–4):419–437.
   Google Scholar
• Gruber FE, Mergili M. 2013. Regional-scale analysis of high-mountain multi-hazard and risk indicators in the Pamir (Tajikistan) with GRASS GIS. Nat Hazards Earth Syst Sci. 13(11):2779–2796.
   Google Scholar
• Hu A-Y, Guo S-L, Liu Y, Lin K-R. 2006. Ecologic environment quality fuzzy comprehensive evaluation in the land river basin. J Geol Hazards Environ Preserv. 17(2):69–73.
   Google Scholar
• Horton P, Jaboyedoff M, Bardou E. 2008. Debris flow susceptibility mapping at a regional scale. In: Proceeding of the 4th Canadian conference on geohazards: from causes to management. edited by: Locat J, Perret D, Turmel D, Demers D, and Leroueil S. Quebec, Canada, 20–24 May 2008, 339–406.
   Google Scholar
• Hu ZJ. 2012. The problem of geological disasters in Luoyang City and its prevention and control measures. West-China Explor Eng. 24(3):136–137.
   Google Scholar
• Huang YZ. 2010. Research on the vulnerability of the geological environment and its Countermeasures in Lijiang [dissertation]. Kunming: Kunming University of Science and Technology.
   Google Scholar
• La Husen R. 2005. Debris-flow instrumentation. In: Jakob M, Hungr O, editors. Debris-flow hazards and related phenomena. Berlin: Springer; p. 291–304.
   Google Scholar
• Li DQ, Wu SH. 2006. Landslide risk assessment and management considering time effect. Rock Soil Mech. 27(12):2239–2245.
   Google Scholar
• Li XP. 2005. Study on logistic regression model applied to regional slope stability evaluation based on GIS [dissertation]. Wuhan: China University of Geosciences (Wuhan).
   Google Scholar
• Ma CM, Kuang H, Zhang JJ, He ZK. 2016. Discussion on the comprehensive evaluation of geo-environment in urban areas. Hydrogeol Eng Geol. 43(5):100–104.
   Google Scholar
• Ma YW. 2011. Regional scale multi-hazard susceptibility assessment: a case study in Mtskheta Mtianeti, Georgia [master’s thesis]. Enschede: The University of Twente.
   Google Scholar
• Malet JP, Thiery Y, Hervas J, Gunther A, Puissant A, Grandjean G. 2009. Landslide susceptibility mapping at 1:1M scale over France: exploratory results with a heuristic model. Proc. Int. conference on landslide processes: from geomorphologic mapping to dynamic modelling, A tribute to Prof. Dr. Theo van Asch, 6-7 February 2009, Strasbourg, France, pp.315–320.
   Google Scholar
• Pan SQ, Li YT, Zhao S, Zhu LQ. 2010. Study on the soil erosion of Luoning County based on RS and GIS. J Henan Univ Nat Sci. 40(2):156–161.
   Google Scholar
• Pradhan B. 2013. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput Geosci. 51:350–365.
   Google Scholar
• Saaty TL. 1980. The analytic hierarchy process. New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback (1996, 2000). Pittsburgh: RWS Publications.
   Google Scholar
• Saaty TL. 1990. How to make a decision: the analytic hierarchy process. Eur J Oper Res. 48(1):9–26.
   Google Scholar
• Saaty TL. 2000. Fundamentals of decision making and priority theory with the analytic hierarchy process. Vol. 6. Pittsburgh: RWS Publications.
   Google Scholar
• Saaty TL. 2004. Decision making – the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng. 13(1):1–35.
   Google Scholar
• Tian CS, Liu XL, Wang J. 2016. Geohazard susceptibility assessment based on CF mode land logistic regression models in Guangdong. Hydrogeol Eng Geol. 43(6):154–161.
   Google Scholar
• Van Westen CJ, Rengers N, Soeters R. 2003. Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards. 30(3):399–419.
   Google Scholar
• Wang J, Cheng WM, Shenglin Q, Chenghu Z, Wenjie, Chiming ZT. 2014a. Sensitive evaluation and spatial analysis of soil and water loss based on USLE and GIS: taking Taihang Mountain area of Hebei Province as an example. Geogr Res Aust. 33(4):614–624.
   Google Scholar
• Wang JJ, Yin KL, Xiao LL. 2014b. Landslide susceptibility assessment based on GIS and weighted information value: a case study of Wanzhou district, three gorges reservoir. Chin J Rock Mech Eng. 33(4):797–808.
   Google Scholar
• Wang SJ. 1997. Interaction between human engineering activity and geo-environment and its environmental effects. J Geol Hazards Environ Preserv. 8(1):20–27.
   Google Scholar
• Wang XK, Ou Yang ZY, Xiao H, et al. 2001. Distribution and division of sensitivity to water-caused soil loss in China. Acta Ecol Sin. 21(1):14–19.
   Google Scholar
• Wang Z, Yi FC. 2009. AHP-based evaluation of occurrence easiness of geological disasters in Mianyang City. J Nat Disasters. 18(1):14–23.
   Google Scholar
• The World Bank Annual Report. 2005. World Bank Publications: The World Bank, number 7537, October.
   Google Scholar
• Wischmeier WH, Smith DD. 1978. Predicting rainfall erosion losses. A guide to conservation planning. Vol. 537. Washington: USDA Agriculture Handbook. p. 58.
   Google Scholar
• Wu Y, Li W, Liu P, Bai H, Wang Q, He J, Liu Y, Sun S. 2016. Application of analytic hierarchy process model for landslide susceptibility mapping in the Gangu County, Gansu Province, China. Environ Earth Sci. 75(5):422.
   Google Scholar
• Xi PP. 2014. Study on geological hazard susceptibility evaluation based on GIS of Lang County [master’s thesis]. Jilin: Jilin University.
   Google Scholar
• Xie W, Guo X, Zhao XM, Huang C. 2012. A study on comprehensive evaluation of cultivated land fertility based on barrel principle in county locality. Acta Agriculturae Universitatis Jiangxiensis. 34(4):846–850.
   Google Scholar
• Xu HL. 2009. Environmental geology. Beijing: Geological Publishing House.
   Google Scholar
• Yalcin A. 2008. GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. Catena. 72(1):1–12.
   Google Scholar
• Yan SM, Li LG, Liu BY. 2014. Fuzzy comprehensive evaluation on susceptibility of mining surface collapse in Pizhou gypsum mine in Jiangsu. J Geol. 38(2):334–338.
   Google Scholar
• Yue CJ. 2009. Research on geo-hazard risk zoning of Zhongyuan City Group [dissertation]. Beijing: China University of Geosciences (Beijing).
   Google Scholar
• Zang CL. 2012. Comprehensive evaluation method based on the barrel theory research and application [master’s thesis]. Chengdu: Chengdu University of Technology.
   Google Scholar
• Zhang B, Shi CB, Xiao ZY, Zhang JZ, Wu L, Xi B, Lu SZ. 2018. Geologic hazards susceptibility assessment in E’zhou City of Hubei Province based on GIS and weighted information value. Chin J Geol Hazard Control. 29(3):101–107.
   Google Scholar
• Zhang CM, Dong XZ, Qi LH, Zhao B. 2005. Two-stage FUZZY comprehensive evaluation on the risk degree of ground collapse in Mencheng town. Earth Environ. 33(S1):99–103.
   Google Scholar
• Zhang GL, Yang BL, Zhang Z, Wang SJ. 2015. Susceptibility prediction of underground mining collapse based on GIS and BP neural network. Trop Geogr. 35(5):770–776.
   Google Scholar
• Zhang JJ, Ma CM, Kuang H, Zhou AG, Xia Y. 2016. Geo-environmental suitability assessment with variable weight for underground space exploitation in Zhengzhou. Hydrogeol Eng Geol. 43(2):118–125.
   Google Scholar
• Zhang YW, Liu HN, et al. 2008. Application of expert cluster method in vulnerability evaluation of geological environment in Qingdao City. Land Resour Shangdong Prov. 24(10):27–30.
   Google Scholar
• Zhou Y, Zhang J, Zhou N, Chen XH. 2006. Synthetic assessment with cask theory. Computer Engineering. 32(17):197–199.
   Google Scholar
• Zhu LF, Wu XC, Yin KL, et al. 2004. Risk zonation of landslide in China based on information content model. J Earth Sci Environ. 26(3):52–56.
   Google Scholar