Hongshi Xu
Biographic Data
| ID | 7868842 |
|---|---|
| NAME | Hongshi Xu |
| GIVEN NAMES | Hongshi |
| FAMILY NAME | Xu |
| SIGNATURE | XU H |
| AFFILIATIONS | Zhengzhou University |
| VERIFIED | No |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Urban Flood Prediction Model Based on Explainable Deep Learning and Attention Mechanism
Deep learning models are widely used for urban flood prediction, but current research lacks a clear explanation of how indicator weight changes affect model accuracy. This study incorporated the attention mechanism between the convolutional and fully connected layers of the convolutional neural network (CNN) to enable the model to focus on critical flood-inducing factors, and employed the particle swarm optimization (PSO) to optimize the key hype…
Joint warning mechanism of urban flood considering comprehensive risk and emergency rescues
Reducing the losses to urban floods with a refined material allocation framework
Comprehensive resilience evaluation of water resources supply-demand system based on structure-function-operation mechanism under extreme drought
Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator
Study on adaptive regulation based on water supply-demand system structure and water use desirability under extreme drought
Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach
Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios
Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City
The public health risk caused by urban floods is a global concern. Flood risks are amplified by the interaction of rainfall and storm tides in coastal cities. In this study, we investigate the flood risks of rainfall and storm tides coupling statistical and hydrodynamic models and evaluate the influence of different parameter estimation methods and bivariate return periods (RPs) on flood risks in the coastal city. The statistical model is used to…
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China
Joint Risk of Rainfall and Storm Surges during Typhoons in a Coastal City of Haidian Island, China
Public health risks from urban floods are a global concern. A typhoon is a devastating natural hazard that is often accompanied by heavy rainfall and high storm surges and causes serious floods in coastal cities. Affected by the same meteorological systems, typhoons, rainfall, and storm surges are three variables with significant correlations. In the study, the joint risk of rainfall and storm surges during typhoons was investigated based on prin…
No prominent works on this page.
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China
Joint Risk of Rainfall and Storm Surges during Typhoons in a Coastal City of Haidian Island, China
Public health risks from urban floods are a global concern. A typhoon is a devastating natural hazard that is often accompanied by heavy rainfall and high storm surges and causes serious floods in coastal cities. Affected by the same meteorological systems, typhoons, rainfall, and storm surges are three variables with significant correlations. In the study, the joint risk of rainfall and storm surges during typhoons was investigated based on prin…
Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City
The public health risk caused by urban floods is a global concern. Flood risks are amplified by the interaction of rainfall and storm tides in coastal cities. In this study, we investigate the flood risks of rainfall and storm tides coupling statistical and hydrodynamic models and evaluate the influence of different parameter estimation methods and bivariate return periods (RPs) on flood risks in the coastal city. The statistical model is used to…
Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator
Study on adaptive regulation based on water supply-demand system structure and water use desirability under extreme drought
Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach
Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios
Joint warning mechanism of urban flood considering comprehensive risk and emergency rescues
Reducing the losses to urban floods with a refined material allocation framework
Comprehensive resilience evaluation of water resources supply-demand system based on structure-function-operation mechanism under extreme drought
Urban Flood Prediction Model Based on Explainable Deep Learning and Attention Mechanism
Deep learning models are widely used for urban flood prediction, but current research lacks a clear explanation of how indicator weight changes affect model accuracy. This study incorporated the attention mechanism between the convolutional and fully connected layers of the convolutional neural network (CNN) to enable the model to focus on critical flood-inducing factors, and employed the particle swarm optimization (PSO) to optimize the key hype…
Flood Risk Assessment and Management (12 works) · Flood myth (9 works) · Geography (9 works) · Environmental Science (8 works) · Computer Science (6 works) · Data mining (4 works) · Hydrology and Drought Analysis (4 works) · Artificial Intelligence (3 works) · Civil engineering (3 works) · Economics (3 works)