Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia-Reference-Cited by-同舟云学术

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Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia

Published:2015-12-19 Issue:6 Volume:30 Page:1575-1590
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Liu Rui,Chen Yun,Wu Jianping,Gao Lei,Barrett Damian,Xu Tingbao,Li Linyi,Huang Chang,Yu Jia

Funder

National Natural Science Foundation of China (CN)

Innovation Program of Shanghai Municipal Education Commission

Funding Plan of Shanghai Municipal Education Commission for the Development of Young Teachers in Colleges and Universities

China Scholarship Council (CN)

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-015-1198-y.pdf

Reference68 articles.

1. Abellán J (2006) Application of uncertainty measures on credal sets on the naive Bayesian classifier. Int J Gen Syst 35:675–686. doi: 10.1080/03081070600867039

2. Aguilera PA, Fernández A, Ropero RF, Molina L (2013) Groundwater quality assessment using data clustering based on hybrid Bayesian networks. Stoch Environ Res Risk Assess 27:435–447. doi: 10.1007/s00477-012-0676-8

3. Amendola A, Ermoliev Y, Ermolieva TY, Gitis V, Koff G, Linnerooth-Bayer J (2000) A systems approach to modeling catastrophic risk and insurability. Nat Hazards 21:381–393. doi: 10.1023/A:1008183011971

4. Arnell NW, Gosling SN (2014) The impacts of climate change on river flood risk at the global scale. Clim Chang. doi: 10.1007/s10584-014-1084-5

5. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains. Cent Jpn Geomorphol 65:15–31. doi: 10.1016/j.geomorph.2004.06.010

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