Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network

Flood Hazard Assessment of the Urban Area of Tabuk City, Kingdom of Saudi Arabia by Integrating Spatial-Based Hydrologic and Hydrodynamic Modeling

(2019) Ashraf Abdelkarim et al.   SENSORS

A Scenario-Based Approach for Assessing the Hydrological Impacts of Land Use and Climate Change in the Marboreh Watershed, Iran

(2019) Ali Torabi Haghighi et al.   ENVIRONMENTAL MODELING & ASSESSMENT

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Contribution of climatic variability and human activities to stream flow changes in the Haraz River basin, northern Iran

(2019) Abdollah Pirnia et al.   Journal of Hydro-environment Research

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

River suspended sediment modelling using the CART model: A comparative study of machine learning techniques

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Using the Mann–Kendall test and double mass curve method to explore stream flow changes in response to climate and human activities

(2018) Abdollah Pirnia et al.   Journal of Water and Climate Change

Use of remote sensing to analyse peatland changes after drainage for peat extraction

(2018) Ali Torabi Haghighi et al.   LAND DEGRADATION & DEVELOPMENT

Increased human and economic losses from river flooding with anthropogenic warming

(2018) Francesco Dottori et al.   Nature Climate Change

Forecasting the Urban Expansion Effects on the Design Storm Hydrograph and Sediment Yield using Artificial Neural Networks

(2018) Dimitrios Myronidis et al.   Water

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

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Adapting to urban challenges in the Amazon: flood risk and infrastructure deficiencies in Belém, Brazil

(2017) Andressa Vianna Mansur et al.   Regional Environmental Change

Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas

(2017) Ljubomir Gigović et al.   Water

Post-Evaluation of Flood Hazards Induced by Former Artificial Interventions along a Coastal Mediterranean Settlement

(2016) Dimitrios Myronidis et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Local controversies of flood risk reduction measures in Germany. An explorative overview and recent insights

(2016) A. Otto et al.   Journal of Flood Risk Management

Hydrological Responses to Land Use/Cover Changes in the Olifants Basin, South Africa

(2016) Charles Gyamfi et al.   Water

Assessing urban potential flooding risk and identifying effective risk-reduction measures

(2015) Frédéric Cherqui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment

(2014) Yashon Ouma et al.   Water

Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis

(2010) D.S. Fernández et al.   ENGINEERING GEOLOGY

Assessing the effort of meteorological variables for evaporation estimation by self-organizing map neural network

(2010) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

Review of the Self-Organizing Map (SOM) approach in water resources: Commentary

(2009) R. Céréghino et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A GIS-based model for urban flood inundation

(2009) Jian Chen et al.   JOURNAL OF HYDROLOGY