GIS-supported evaluation of landslide susceptibility in the karst mountainous area：A case study in Wudang, Guiyang

Song Li; Yi Bai; Yongjun Long; Maoqiang Wang

doi:10.1051/e3sconf/202014302032

All issues

Volume 143 (2020)

E3S Web Conf., 143 (2020) 02032

References

Open Access

Issue		E3S Web Conf. Volume 143, 2020 2^nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)


Article Number		02032
Number of page(s)		5
Section		Environmental Science and Energy Engineering
DOI		https://doi.org/10.1051/e3sconf/202014302032
Published online		24 January 2020

Bălteanu Dan, Chendeş Viorel, Sima Mihaela., et al. A country-wide spatial assessment of landslide susceptibility in Romania[J]. Geomorphology, 124 (3-4):102-112(2010). [CrossRef] [Google Scholar]
Chun-Hung Wu, Su-Chin Chen. Determining landslide susceptibility in Central Taiwan from rainfall and six site factors using the analytical hierarchy process method[J]. Geomorphology, 112(3-4):190-204(2009). [CrossRef] [Google Scholar]
Pradhan B, Lee S. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling[J]. Environmental Modelling & Software, 25(6):747-759(2010). [CrossRef] [Google Scholar]
Bonaventura Firman Dwi Wahono.Applications of Statistical and Heuristic Methods for Landslide Susceptibility Assessments[D]. Thesis of Gadjah Mada University(2010). [Google Scholar]
Nandi A, Shakoor A. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses[J]. Engineering Geology, 110(1-2):11-20(2010). [Google Scholar]
Pradhan B. Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia[J]. Advances in Space Research, 45(10):1244-1256(2010). [CrossRef] [Google Scholar]
Isik Y. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslide(Tokat-Turkey)[J]. Computers & Geosciences, 35(6):1125-1138(2009). [Google Scholar]
Kawabata D, Bandibas J. Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)[J]. Geomorphology, 113(1-2):97-109(2009). [CrossRef] [Google Scholar]
Saro Lee, Moung-Jin Lee.Detecting landslide location using KOMPSAT 1 and its application to landslidesusceptibility mapping at the Gangneung area, Korea[J]. Advances in Space Research, 38(10):2261-2271(2006). [CrossRef] [Google Scholar]
Dahal R K, Hasegawa S, Nonomura A, et al. GISbased weights-of-evidence modelling of rainfallinduced landslides in small catchments for landslide susceptibility mapping[J]. Environmental Geology, 54(2):311-324(2008). [CrossRef] [Google Scholar]
Dahal R K, Hasegawa S, Nonomura A, et al. Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence[J]. Geomorphology, 102(3-4):0-510(2008). [CrossRef] [Google Scholar]
Dai F, Lee C. Frequency-volume relation and prediction of rainfall-induced landslides[J]. Engineering Geology, 59(3):253-266(2001). [Google Scholar]
Sengupta A, Gupta S, Anbarasu K. Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, India[J]. Natural Hazards, 52(1):31-42(2010). [CrossRef] [Google Scholar]
Floris M, Bozzano F. Evaluation of landslide reactivation: A modified rainfall threshold model based on historical records of rainfall and landslides[J]. Geomorphology, 94(1-2):0-57(2008). [CrossRef] [Google Scholar]
Yan Tongzhen, Wu Faquan, Yin Kunlong. Static and Dynamic Regularity of Landslides and Space-time Prognosis of Slope Instability[J]. Earth Science(Journal of China University of Geosciences), 2:117-133(1989). [Google Scholar]

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[1] Bălteanu Dan, Chendeş Viorel, Sima Mihaela., et al. A country-wide spatial assessment of landslide susceptibility in Romania[J]. Geomorphology, 124 (3-4):102-112(2010). [CrossRef] [Google Scholar]

[2] Chun-Hung Wu, Su-Chin Chen. Determining landslide susceptibility in Central Taiwan from rainfall and six site factors using the analytical hierarchy process method[J]. Geomorphology, 112(3-4):190-204(2009). [CrossRef] [Google Scholar]

[3] Pradhan B, Lee S. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling[J]. Environmental Modelling & Software, 25(6):747-759(2010). [CrossRef] [Google Scholar]

[4] Bonaventura Firman Dwi Wahono.Applications of Statistical and Heuristic Methods for Landslide Susceptibility Assessments[D]. Thesis of Gadjah Mada University(2010). [Google Scholar]

[5] Nandi A, Shakoor A. A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses[J]. Engineering Geology, 110(1-2):11-20(2010). [Google Scholar]

[6] Pradhan B. Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia[J]. Advances in Space Research, 45(10):1244-1256(2010). [CrossRef] [Google Scholar]

[7] Isik Y. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslide(Tokat-Turkey)[J]. Computers & Geosciences, 35(6):1125-1138(2009). [Google Scholar]

[8] Kawabata D, Bandibas J. Landslide susceptibility mapping using geological data, a DEM from ASTER images and an Artificial Neural Network (ANN)[J]. Geomorphology, 113(1-2):97-109(2009). [CrossRef] [Google Scholar]

[9] Saro Lee, Moung-Jin Lee.Detecting landslide location using KOMPSAT 1 and its application to landslidesusceptibility mapping at the Gangneung area, Korea[J]. Advances in Space Research, 38(10):2261-2271(2006). [CrossRef] [Google Scholar]

[10] Dahal R K, Hasegawa S, Nonomura A, et al. GISbased weights-of-evidence modelling of rainfallinduced landslides in small catchments for landslide susceptibility mapping[J]. Environmental Geology, 54(2):311-324(2008). [CrossRef] [Google Scholar]

[11] Dahal R K, Hasegawa S, Nonomura A, et al. Predictive modelling of rainfall-induced landslide hazard in the Lesser Himalaya of Nepal based on weights-of-evidence[J]. Geomorphology, 102(3-4):0-510(2008). [CrossRef] [Google Scholar]

[12] Dai F, Lee C. Frequency-volume relation and prediction of rainfall-induced landslides[J]. Engineering Geology, 59(3):253-266(2001). [Google Scholar]

[13] Sengupta A, Gupta S, Anbarasu K. Rainfall thresholds for the initiation of landslide at Lanta Khola in north Sikkim, India[J]. Natural Hazards, 52(1):31-42(2010). [CrossRef] [Google Scholar]

[14] Floris M, Bozzano F. Evaluation of landslide reactivation: A modified rainfall threshold model based on historical records of rainfall and landslides[J]. Geomorphology, 94(1-2):0-57(2008). [CrossRef] [Google Scholar]

[15] Yan Tongzhen, Wu Faquan, Yin Kunlong. Static and Dynamic Regularity of Landslides and Space-time Prognosis of Slope Instability[J]. Earth Science(Journal of China University of Geosciences), 2:117-133(1989). [Google Scholar]