标题
Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network
作者
关键词
-
出版物
Water
Volume 11, Issue 11, Pages 2370
出版商
MDPI AG
发表日期
2019-11-13
DOI
10.3390/w11112370
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started