Susceptibility Mapping of Typical Geological Hazards in Helong City Affected by Volcanic Activity of Changbai Mountain, Northeastern China

被引:12
作者
Sun, Xiaohui [1 ]
Yu, Chenglong [2 ,3 ,4 ]
Li, Yanrong [1 ]
Rene, Ngambua N. [1 ]
机构
[1] Taiyuan Univ Technol, Dept Earth Sci & Engn, Taiyuan 030024, Peoples R China
[2] Changchun Inst Technol, Coll Jilin Emergency Management, Changchun 130012, Peoples R China
[3] Ctr China Bldg Mat Ind, Jilin Team Geol Survey, Changchun 130026, Peoples R China
[4] Jilin Univ, Coll Construct Engn, Changchun 130026, Peoples R China
关键词
geological hazard-susceptibility mapping; Changbai Mountain; volcanic earthquake; transcendental probability; LANDSLIDE SUSCEPTIBILITY; INFORMATION; KARABUK; MODELS; COUNTY; AHP;
D O I
10.3390/ijgi11060344
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The purpose of this paper was to produce the geological hazard-susceptibility map for the Changbai Mountain area affected by volcanic activity. First, 159 landslides and 72 debris flows were mapped in the Helong city are based on the geological disaster investigation and regionalization (1:50,000) project of Helong City. Then, twelve landslide conditioning factors and eleven debris flow conditioning factors were selected as the modeling variables. Among them, the transcendental probability of Changbai Mountain volcanic earthquake greater than VI degrees was used to indicate the relationship between the geological hazard-susceptibility and Changbai Mountain volcanic earthquake occurrence. Furthermore, two machine learning models (SVM and ANN) were introduced to geological hazard-susceptibility modeling. Receiver operating characteristic curve, statistical analysis method, and five-fold cross-validation were used to compare the two models. Based on the modeling results, the SVM model is the better model for both the landslide and debris flow susceptibility mapping. The results show that the areas with low, moderate, high, and very high landslide susceptibility are 31.58%, 33.15%, 17.07%, and 18.19%, respectively; and the areas with low, moderate, high, and very high debris flow susceptibility are 25.63%, 38.19%, 23.47%, and 12.71%, respectively. The high and very high landslide and debris flow susceptibility classes make up 85.54% and 80.55% of the known landslides and debris flow, respectively. Moreover, the very high and high landslide and debris flow susceptibility are mainly distributed in the lower elevation area, and mainly distributed around the cities and towns in Helong City. Consequently, this paper will be a useful guide for the deployment of disaster prevention and mitigation in Helong city, and can also provide some reference for evaluation of landslide susceptibility in other volcanically active areas.
引用
收藏
页数:22
相关论文
共 47 条
[11]   Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkoviky Landslide, Czech Republic [J].
Farova, Katerina ;
Jelenek, Jan ;
Kopackova-Strnadova, Veronika ;
Kycl, Petr .
REMOTE SENSING, 2019, 11 (22)
[12]   Comparison of probabilistic and expert-based models in landslide susceptibility zonation mapping in part of Nilgiri District, Tamil Nadu, India [J].
Guru B. ;
Veerappan R. ;
Sangma F. ;
Bera S. .
Spatial Information Research, 2017, 25 (06) :757-768
[13]   Landslide inventory maps: New tools for an old problem [J].
Guzzetti, Fausto ;
Mondini, Alessandro Cesare ;
Cardinali, Mauro ;
Fiorucci, Federica ;
Santangelo, Michele ;
Chang, Kang-Tsung .
EARTH-SCIENCE REVIEWS, 2012, 112 (1-2) :42-66
[14]   A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey) [J].
Hasekiogullari, Gokce Deniz ;
Ercanoglu, Murat .
NATURAL HAZARDS, 2012, 63 (02) :1157-1179
[15]   Review on landslide susceptibility mapping using support vector machines [J].
Huang, Yu ;
Zhao, Lu .
CATENA, 2018, 165 :520-529
[16]   Evaluation and comparison of GIS based landslide susceptibility mapping procedures in Kulekhani watershed, Nepal [J].
Kayastha, Prabin ;
Dhital, Megh Raj ;
De Smedt, Florimond .
JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2013, 81 (02) :219-231
[17]  
khodadad Sara, 2015, [Journal of The Korean Geomorphological Association, 한국지형학회지], V22, P109, DOI 10.18339/jkga.2015.22.1.109
[18]   Landslide susceptibility mapping by comparing the WLC and WofE multi-criteria methods in the West Crete Island, Greece [J].
Kouli, M. ;
Loupasakis, C. ;
Soupios, P. ;
Rozos, D. ;
Vallianatos, F. .
ENVIRONMENTAL EARTH SCIENCES, 2014, 72 (12) :5197-5219
[19]   Fuzzy-frequency ratio model for avalanche susceptibility mapping [J].
Kumar, Satish ;
Snehmani ;
Srivastava, Pankaj Kumar ;
Gore, Akshay ;
Singh, Mritunjay Kumar .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2016, 9 (12) :1168-1184
[20]   Landslide susceptibility and hazard mapping in Australia for land-use planning - with reference to challenges in metropolitan suburbia [J].
Leventhal, Andrew R. ;
Kotze, Greg P. .
ENGINEERING GEOLOGY, 2008, 102 (3-4) :238-250