Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment
Tài liệu tham khảo
Alexakis, 2014, Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus, Nat. Hazards, 72, 119, 10.1007/s11069-013-0770-3
Arabameri, 2019, A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran, Sci. Total Environ., 660, 443, 10.1016/j.scitotenv.2019.01.021
Bai, 2019, Quantifying the spatial heterogeneity influences of natural and socioeconomic factors and their interactions on air pollution using the geographical detector method: a case study of the Yangtze River Economic Belt, China, J. Clean. Prod., 232, 692, 10.1016/j.jclepro.2019.05.342
Baker, 2018, A method to measure predictive ability of an injury risk curve using an observation-adjusted area under the receiver operating characteristic curve, J. Biomech., 72, 23, 10.1016/j.jbiomech.2018.02.018
Bekteshi, 2017, Radon concentrations and exposure levels in the Trepça underground mine: a comparative study, J. Clean. Prod., 155, 198, 10.1016/j.jclepro.2016.10.131
Bui, 2012, Landslide susceptibility assessment in the Hoa Binh province of Vietnam: a comparison of the Levenberg-Marquardt and Bayesian regularized neural networks, Geomorphology, 171, 12
Chalkias, 2014, GIS supported landslide susceptibility modeling at regional scale: an expert-based fuzzy weighting method, ISPRS Int. Geo-Inf., 3, 523, 10.3390/ijgi3020523
Chen, 2013, Geological disaster susceptibility assessment of the Lushan earthquake based on RS and GIS (in Chinese), Chin. Sci. Bull., 58, 3859, 10.1360/972013-665
Cigna, 2018, Geological hazards in the UNESCO World Heritage sites of the UK: from the global to the local scale perspective, Earth Sci. Rev., 176, 166, 10.1016/j.earscirev.2017.09.016
Conforti, 2014, Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy), Catena, 113, 236, 10.1016/j.catena.2013.08.006
Deng, 2014, Application of information quality model to hazard evaluation of geological disaster in mountainous region environment: a case study of Luding County, Sichuan Province, J. Nat. Disasters, 23, 67
Du, 2016, Ecological risk assessment of landslide disasters in mountainous areas of Southwest China: a case study in Dali Bai Autonomous Prefecture, Acta Geograph. Sin., 7, 1544
Grant, 2016, Multimodal method for coseismic landslide hazard assessment, Eng. Geol., 212, 146, 10.1016/j.enggeo.2016.08.005
Hadji, 2013, Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria, Quat. Int., 302, 224, 10.1016/j.quaint.2012.11.027
He, 2017, The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: a case study in Longkou, China, J. Clean. Prod., 142, 854, 10.1016/j.jclepro.2016.07.011
Jena, 2020, Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: aceh Province, Indonesia, Geosci. Front., 11, 613, 10.1016/j.gsf.2019.07.006
Kayastha, 2013, Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, west Nepal, Comput. Geosci., 52, 398, 10.1016/j.cageo.2012.11.003
Lee, 2004, Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS, Environ. Manag., 34, 223, 10.1007/s00267-003-0077-3
Liao, 2011, Land use change and eco-environmental vulnerability evaluation in the Danjiangkou Reservoir area, J. Nat. Resour., 26, 1879
Lin, 2018, Sensitivity assessment of geological hazards in unban agglomeration of Fujian Delta Region, J. Geo-inf. Sci., 20, 1286
Liu, 2010, Research on information map of landslide hazard evaluation—a case study in putian of Fujian Province, J. Catastrophol., 25, 21
Liu, 2018, Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards, Transp. Res. Pt. A-Pol. Pract., 117, 214, 10.1016/j.tra.2018.08.030
Lu, 2010, Research on geological disasters caused by monsoon rainstorm and typhoon rainstorm in Fujian Province, Geol. Fujian, 29, 77
Mandal, 2018, Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India, Adv. Space Res., 62, 3114, 10.1016/j.asr.2018.08.008
Martens, 2016, Small improvement in the area under the receiver operating characteristic curve indicated small changes in predicted risks, J. Clin. Epidemiol., 79, 159, 10.1016/j.jclinepi.2016.07.002
Mind’je, 2019, Flood susceptibility modeling and hazard perception in Rwanda, Int. J. Disaster Risk Reduct., 38, 101211, 10.1016/j.ijdrr.2019.101211
Niu, 2011, Susceptibility assessment of secondary geological disaster based on information value methodology for Yushu earthquake region, J. Mt. Sci., 9, 243
Niu, 2012, Risk assessment of secondary geological disasters induced by the Yushu earthquake, J. Mt. Sci., 9, 232
Pan, 2016, Study on mobility-disadvantage group’ risk perception and coping behaviors of abrupt geological hazards in coastal rural area of China, Environ. Res., 148, 574, 10.1016/j.envres.2016.04.016
Pavlova, 2017, Global overview of the geological hazard exposure and disaster risk awareness at world heritage sites, J. Cult. Herit., 28, 151, 10.1016/j.culher.2015.11.001
Peng, 2019, Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China, J. Clean. Prod., 233, 353, 10.1016/j.jclepro.2019.05.355
Qiao, 2019, Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector, Sci. Total Environ., 664, 392, 10.1016/j.scitotenv.2019.01.310
Raghuvanshi, 2014, Slope stability susceptibility evaluation parameter (SSEP) rating scheme–An approach for landslide hazard zonation, J. Afr. Earth Sci., 99, 595, 10.1016/j.jafrearsci.2014.05.004
Sdao, 2013, Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera, Nat. Hazards Earth Syst. Sci., 13, 395, 10.5194/nhess-13-395-2013
Su, 2017, Comparative assessment of three nonlinear approaches for landslide susceptibility mapping in a coal mine area, ISPRS Int. Geo-Inf., 6, 228, 10.3390/ijgi6070228
Su, 2017, Comparative assessment of three nonlinear approaches for landslide susceptibility mapping in a coal mine area, ISPRS Int. Geo-Inf., 6, 228, 10.3390/ijgi6070228
Tan, 2015, Geological hazard risk assessment based on information quantity model in fuling district, Chongqing city, China, J. Geo-inf. Sci., 17, 1554
Wang, 2017, Geodetector: principle and prospective, Acta Geograph. Sin., 72, 116
Wang, 2012, Risk assessment of floor water inrush in coal mines based on secondary fuzzy comprehensive evaluation, Int. J. Rock Mech. Min. Sci., 52, 50, 10.1016/j.ijrmms.2012.03.006
Wang, 2016, The integrated assessment system of ecogeological environmental carrying capacity for Dujiangyan-Wenchuan Highway, Sci. Surv. Mapp., 41, 77, 10.1016/j.apsusc.2015.10.234
Weinmeister, 2007, Integrated debris flow disaster mitigation—a comprehensive method for debris flow disaster mitigation, J. Mt. Sci., 4, 293
Wu, 2019, Neotectonics, active tectonics and earthquake geology: terminology, applications and advances, J. Geodyn., 127, 1, 10.1016/j.jog.2019.01.007
Yang, 2016, Soil landslide susceptibility assessment based on DEM, J. Geo-inf. Sci., 18, 1624
Yilmaz, 2012, GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey), Environ. Earth Sci., 65, 2161, 10.1007/s12665-011-1196-4
Yu, 2015, Evaluation of the unexpected geological disasters distribution in coastal region of Zhejiang Province based on sensibility coefficient and principal component analysis, J. Catastrophol., 30, 64
Zhou, 2018, Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique, Sci. Total Environ., 619, 436, 10.1016/j.scitotenv.2017.11.124