Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

H Sun, X Zhang, X Ruan, H Jiang, W Shou - Remote Sensing, 2024 - mdpi.com
Coastal regions, increasingly threatened by floods due to climate-change-driven extreme
weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In …

Coastal dam inundation assessment for the Yellow River Delta: Measurements, analysis and scenario

G Wang, P Li, Z Li, D Ding, L Qiao, J Xu, G Li, H Wang - Remote sensing, 2020 - mdpi.com
Coastal dams along the Yellow River Delta are built to prevent seawater intrusion. However,
land subsidence caused by significant oil, gas and brine extraction, as well as sediment …

Land subsidence risk assessment using GIS fuzzy logic spatial modeling in Varamin aquifer, Iran

G Mohebbi Tafreshi, M Nakhaei, R Lak - GeoJournal, 2021 - Springer
The extent of the subsidence and the consequents damage to most of the residential and
populated areas of Iran have made this phenomenon one of the most important natural …

Evaluation of climate change impact on groundwater recharge in groundwater regions in Taiwan

SJ Wang, CH Lee, CF Yeh, YF Choo, HW Tseng - Water, 2021 - mdpi.com
Climate change can directly or indirectly influence groundwater resources. The mechanisms
of this influence are complex and not easily quantified. Understanding the effect of climate …

[HTML][HTML] InSAR-based early warning monitoring framework to assess aquifer deterioration

F Orellana, D Rivera, G Montalva, JL Arumi - Remote Sensing, 2023 - mdpi.com
Aquifer surveillance is key to understanding the dynamics of groundwater reservoirs.
Attention should be focused on developing strategies to monitor and mitigate the adverse …

A nonstructural flood prevention measure for mitigating urban inundation impacts along with river flooding effects

SS Shih, PH Kuo, JS Lai - Journal of environmental management, 2019 - Elsevier
In recent decades, urban developments along rivers have experienced high flooding risks,
elevated by increasing urbanization. Due to the expansion of urban areas, flood mitigation …

A GIS-based comparative study of hybrid fuzzy-gene expression programming and hybrid fuzzy-artificial neural network for land subsidence susceptibility modeling

G Mohebbi Tafreshi, M Nakhaei, R Lak - … Environmental Research and …, 2020 - Springer
Land subsidence is a complicated hazard that artificial intelligence models can model it
without approximation and simplification. In this study, for the first time in land subsidence …

Enhancing flood verification using Signal Detection Theory (SDT) and IoT Sensors: A spatial scale evaluation

CH Chang, R Rahmad, SJ Wu, CT Hsu, PH Chung - Journal of Hydrology, 2024 - Elsevier
Inundation mapping by flood simulation is subject to uncertainties which spatial accuracy
assessment could not be processed as normal mapping does. This paper presents a …

Evaluation of flood mitigation effectiveness of nature-based solutions potential cases with an assessment model for flood mitigation

W Lo, CT Huang, MH Wu, DJ Doong, LH Tseng… - Water, 2021 - mdpi.com
In recent years, climate change has been widely discussed around the world. The
Intergovernmental Panel on Climate Change (IPCC) published the Sixth Assessment Report …

Subsidence risk assessment based on a novel hybrid form of a tree-based machine learning algorithm and an index model of vulnerability

G Mohebbi Tafreshi, M Nakhaei, R Lak - Geocarto International, 2022 - Taylor & Francis
Among natural hazards, land subsidence (LS) is considered to be one of the most significant
natural disasters which occur in populated and inhabited regions of Iran. The Varamin …