标题
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
作者
关键词
Urban flooding, Hazard, Vulnerability, TOPSIS, Machine learning, Artificial intelligence
出版物
International Journal of Disaster Risk Reduction
Volume 66, Issue -, Pages 102614
出版商
Elsevier BV
发表日期
2021-10-02
DOI
10.1016/j.ijdrr.2021.102614
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theories
- (2021) Farzaneh Sajedi Hosseini et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach
- (2020) Madiga Rajasekhar et al. Arabian Journal of Geosciences
- A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types
- (2020) G. S. Mohor et al. WATER RESOURCES RESEARCH
- Development of novel hybridized models for urban flood susceptibility mapping
- (2020) Omid Rahmati et al. Scientific Reports
- Sensitivity of urban flood simulations to stormwater infrastructure and soil infiltration
- (2020) Afrin Hossain Anni et al. JOURNAL OF HYDROLOGY
- A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
- (2019) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Urban flood risk mapping using data-driven geospatial techniques for a flood-prone case area in Iran
- (2019) Hamid Darabi et al. HYDROLOGY RESEARCH
- Comparative assessment of bivariate, multivariate and machine learning models for mapping flood proneness
- (2019) Alaa M. Al-Abadi et al. NATURAL HAZARDS
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
- (2019) Farzaneh Sajedi Hosseini et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Fog-water harvesting Capability Index (FCI) mapping for a semi-humid catchment based on socio-environmental variables and using artificial intelligence algorithms
- (2019) Zahra Karimidastenaei et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network
- (2019) Rahmati et al. Water
- Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
- (2019) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
- (2019) Esmaeel Dodangeh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Socioeconomic Vulnerability to Disaster Risk: A Case Study of Flood and Drought Impact in a Rural Sri Lankan Community
- (2018) M.M.G.T. De Silva et al. ECOLOGICAL ECONOMICS
- Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods
- (2018) Weichao Yang et al. ECOLOGICAL INDICATORS
- Evaluation of four hydrological models for operational flood forecasting in a Canadian Prairie watershed
- (2018) Fisaha Unduche et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East
- (2018) Shereif H. Mahmoud et al. JOURNAL OF CLEANER PRODUCTION
- Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
- (2018) Hossein Shafizadeh-Moghadam et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Distinguishing high and low flow domains in urban drainage systems 2 days ahead using numerical weather prediction ensembles
- (2018) Vianney Courdent et al. JOURNAL OF HYDROLOGY
- Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis
- (2018) Zhongqian Tang et al. JOURNAL OF HYDROLOGY
- Urbanization and climate change implications in flood risk management: Developing an efficient decision support system for flood susceptibility mapping
- (2018) Shereif H. Mahmoud et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping flood susceptibility in mountainous areas on a national scale in China
- (2018) Gang Zhao et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Integrating human behaviour dynamics into flood disaster risk assessment
- (2018) J. C. J. H. Aerts et al. Nature Climate Change
- Increased human and economic losses from river flooding with anthropogenic warming
- (2018) Francesco Dottori et al. Nature Climate Change
- A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China
- (2018) Yi Wang et al. Remote Sensing
- Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
- (2018) Hamid Darabi et al. JOURNAL OF HYDROLOGY
- Assessment of urban flood susceptibility using semi-supervised machine learning model
- (2018) Gang Zhao et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- Forecasting flood-prone areas using Shannon’s entropy model
- (2017) Ali Haghizadeh et al. Journal of Earth System Science
- Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models
- (2017) Omid Rahmati et al. WATER RESOURCES MANAGEMENT
- Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
- (2017) Safura Siahkamari et al. Geocarto International
- Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
- (2017) Sunmin Lee et al. Geomatics Natural Hazards & Risk
- Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
- (2017) Hossein Mojaddadi et al. Geomatics Natural Hazards & Risk
- sdm: a reproducible and extensible R platform for species distribution modelling
- (2016) Babak Naimi et al. ECOGRAPHY
- Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem
- (2016) Ren-Min Yang et al. ECOLOGICAL INDICATORS
- Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level
- (2016) A. Kauffeldt et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models
- (2016) Khabat Khosravi et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives
- (2016) Ebrahim Ahmadisharaf et al. JOURNAL OF HYDROLOGY
- Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
- (2016) Dieu Tien Bui et al. JOURNAL OF HYDROLOGY
- Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
- (2015) Mahyat Shafapour Tehrany et al. CATENA
- Flood hazard risk assessment model based on random forest
- (2015) Zhaoli Wang et al. JOURNAL OF HYDROLOGY
- Dynamic vulnerability factors for impact-based flash flood prediction
- (2015) Galateia Terti et al. NATURAL HAZARDS
- Analysis of Flood Fatalities in Texas
- (2015) Hatim O. Sharif et al. Natural Hazards Review
- Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis
- (2015) Omid Rahmati et al. Geomatics Natural Hazards & Risk
- An integrated approach for assessing flood impacts due to future climate and socio-economic conditions and the scope of adaptation in Europe
- (2014) M. Mokrech et al. CLIMATIC CHANGE
- Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets
- (2014) No-Wook Park Environmental Earth Sciences
- Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
- (2014) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Identification of natural hazards and classification of urban areas by TOPSIS model (case study: Bandar Abbas city, Iran)
- (2014) Rasool Mahdavi Najafabadi et al. Geomatics Natural Hazards & Risk
- Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia)
- (2013) S. Bajabaa et al. Arabian Journal of Geosciences
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- Probabilistic flood inundation mapping of ungauged rivers: Linking GIS techniques and frequency analysis
- (2012) Ali Sarhadi et al. JOURNAL OF HYDROLOGY
- A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS
- (2012) HamidReza Pourghasemi et al. Geomatics Natural Hazards & Risk
- An integrated tool for assessment of flood vulnerability of coastal cities to sea-level rise and potential socio-economic impacts: a case study in Bangkok, Thailand
- (2011) Dushmanta Dutta HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Analysis of flood causes and associated socio-economic damages in the Hindukush region
- (2011) Atta-ur-Rahman et al. NATURAL HAZARDS
- Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees
- (2011) Wim Aertsen et al. PLANT AND SOIL
- An assessment of the potential impact of climate change on flood risk in Mumbai
- (2010) Nicola Ranger et al. CLIMATIC CHANGE
- Effect of land use land cover change on soil erosion potential in an agricultural watershed
- (2010) Arabinda Sharma et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Comparing predictive capability of statistical and deterministic methods for landslide susceptibility mapping: a case study in the northern Apennines (Reggio Emilia Province, Italy)
- (2010) Federico Cervi et al. Landslides
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
- (2009) Biswajeet Pradhan et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Integrating the NRCS Runoff Curve Number in Delineation of Hydrologic Homogeneous Regions
- (2009) Binaya Kumar Mishra et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
- (2008) X. Yao et al. GEOMORPHOLOGY
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
- Benchmarking 2D hydraulic models for urban flooding
- (2008) N. M. Hunter et al. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT
- Understanding catchment behavior through stepwise model concept improvement
- (2008) Fabrizio Fenicia et al. WATER RESOURCES RESEARCH
- Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal)
- (2007) J.L. Zêzere et al. GEOMORPHOLOGY
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