Nothing Special   »   [go: up one dir, main page]

Xu et al., 2018 - Google Patents

Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China

Xu et al., 2018

Document ID
9054942499131159600
Author
Xu H
Ma C
Lian J
Xu K
Chaima E
Publication year
Publication venue
Journal of hydrology

External Links

Snippet

Floods are considered as one of the most frequently occurring natural hazards worldwide and are occurring increasingly frequent in recent decades. Flood risk assessment is an important tool for flood prevention and involves significant practical applications in flood risk …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor

Similar Documents

Publication Publication Date Title
Xu et al. Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China
Tang et al. A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier
Lyu et al. Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach
Lai et al. Flood risk zoning using a rule mining based on ant colony algorithm
Lin et al. Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm
Su et al. The influence of landscape pattern on the risk of urban water-logging and flood disaster
Wang et al. Spatial characteristics and driving factors of urban flooding in Chinese megacities
Neaupane et al. Analytic network process model for landslide hazard zonation
Li et al. Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): an urban-level analysis of Shenzhen, China
Zeng et al. Set pair analysis for karst waterlogging risk assessment based on AHP and entropy weight
Smith et al. Exploring storage and runoff generation processes for urban flooding through a physically based watershed model
Zhang et al. Prediction of soil moisture scarcity using sequential Gaussian simulation in an arid region of China
Lebecherel et al. On evaluating the robustness of spatial-proximity-based regionalization methods
Wang et al. Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model
de Arruda Gomes et al. Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation
Eslaminezhad et al. Assessment of flood susceptibility prediction based on optimized tree-based machine learning models
Ye et al. Assessment of urban flood risk based on data-driven models: A case study in Fuzhou City, China
Sun et al. Multiple geo-environmental hazards susceptibility assessment: a case study in Luoning County, Henan Province, China
Li et al. Identification of urban waterlogging indicators and risk assessment based on MaxEnt Model: A case study of Tianjin Downtown
Lyu et al. Sensitivity analysis of typhoon-induced floods in coastal cities using improved ANP-GIS
Moayedi et al. Spatial assessment of landslide risk using two novel integrations of neuro-fuzzy system and metaheuristic approaches; Ardabil Province, Iran
Edamo et al. Flood susceptibility mapping in the Bilate catchment, Ethiopia
Cao et al. Debris flow susceptibility assessment based on information value and machine learning coupling method: from the perspective of sustainable development
Yariyan et al. An optimization on machine learning algorithms for mapping snow avalanche susceptibility
Drid et al. Designing gully erosion susceptibility maps (GESM) in the Algerian Eastern Tell: a case study of the K’sob River watershed