Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
Bibliographic Data
| ID | 21229101 |
|---|---|
| Authors | Huiliang Wang (0000-0003-0057-455X, Zhengzhou University, corresponding author), Shanlun Xu (Zhengzhou University), Hongshi Xu (Zhengzhou University, corresponding author), Zening Wu (0000-0002-8069-6831, Zhengzhou University), Tianye Wang (0000-0001-7534-931X, Zhengzhou University, corresponding author), Chao Ma (0000-0001-7181-5109, Tianjin University) |
| Year | 2023 |
| Volume | 99 |
| Pages | 104898 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2023.104898 |
| OpenAlex | W4386248480 |
| Language | EN |
| Citations received | 14 |
| References cited | 47 |
Cluster analysis · Data mining · Flood myth · Geography · Hyperparameter · Machine learning · Random forest · Computer Science · Flood Risk Assessment and Management · Hydrological Forecasting Using AI · Tropical and Extratropical Cyclones Research · Artificial Intelligence
Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios
Urban Flood Prediction Model Based on Explainable Deep Learning and Attention Mechanism
A novel multi-scenario mitigation model for rainstorm flood disasters
Operational diagnosis of urban road flood resilience using vehicle speed
Profiling residential energy vulnerability
A new two-stage emergency material distribution framework for urban rainstorm and flood disasters to promote the SDGs
An explainable deep neural network with frequency-aware channel and spatial refinement for flood prediction in sustainable cities
Use of publicly available data to create a dataset for data-driven urban commercial building energy intensity classification
Enhancing compound flood simulation accuracy and efficiency in urbanized coastal areas using hybrid meshes and modified digital elevation model
Contributions of urbanization and population growth to changes in urban flood exposure in recent decades
Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach
Integrating ensemble machine learning and SAR-based geospatial modelling for inclusive and equitable urban flood resilience
Optimizing urban forest spatial patterns to mitigate Suhii in Megacities
A comparative assessment of sampling strategies for tree-based machine learning models in urban flood susceptibility prediction with imbalanced data
Deep learning and process understanding for data-driven Earth system science
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China
River flow forecasting through conceptual models part I — A discussion of principles
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
Urban flood susceptibility mapping based on social media data in Chengdu city, China
Modelling evacuation preparation time prior to floods
Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds
| Citations per year | 7 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |