Sponge city construction in China: A survey of the challenges and opportunities
H Li, L Ding, M Ren, C Li, H Wang - Water, 2017 - mdpi.com
Rapid urbanization in China has caused severe water and environmental problems in
recent years. To resolve the issues, the Chinese government launched a sponge city …
recent years. To resolve the issues, the Chinese government launched a sponge city …
Adaptation of urban drainage networks to climate change: A review
IM Kourtis, VA Tsihrintzis - Science of the Total Environment, 2021 - Elsevier
The present work reviews the main challenges regarding adaptation of urban drainage
networks to climate change by comparing 32 case studies from 29 articles, published …
networks to climate change by comparing 32 case studies from 29 articles, published …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation
Understanding the drivers behind urban floods is critical for reducing its devastating impacts
to human and society. This study investigates the impacts of recent urban development on …
to human and society. This study investigates the impacts of recent urban development on …
Flash flood susceptibility modeling using new approaches of hybrid and ensemble tree-based machine learning algorithms
Flash flooding is considered one of the most dynamic natural disasters for which measures
need to be taken to minimize economic damages, adverse effects, and consequences by …
need to be taken to minimize economic damages, adverse effects, and consequences by …
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
Flash flood is a typical natural hazard that occurs within a short time with high flow velocities
and is difficult to predict. In this study, we propose and validate a new soft computing …
and is difficult to predict. In this study, we propose and validate a new soft computing …
[HTML][HTML] Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
Urban flood impact assessment: A state-of-the-art review
Flooding can cause major disruptions in cities, and lead to significant impacts on people, the
economy and on the environment. These impacts may be exacerbated by climate and socio …
economy and on the environment. These impacts may be exacerbated by climate and socio …
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Floods are among the deadliest natural hazards for humans and the environment.
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China
Urban pluvial flood are attracting growing public concern due to rising intense precipitation
and increasing consequences. Accurate risk assessment is critical to an efficient urban …
and increasing consequences. Accurate risk assessment is critical to an efficient urban …