Flood susceptible prediction through the use of geospatial variables and machine learning methods
NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
[HTML][HTML] An open-source platform for geospatial participatory modeling in the cloud
Participatory modeling facilitates the co-production of knowledge and action by engaging
stakeholders in research. However, the spatial dimensions of socio-environmental systems …
stakeholders in research. However, the spatial dimensions of socio-environmental systems …
[HTML][HTML] Disaster loss calculation method of urban flood bimodal data fusion based on remote sensing and text
X Zheng, C Duan, Y Chen, R Li, Z Wu - Journal of Hydrology: Regional …, 2023 - Elsevier
Study region Major urban areas in Henan Province of central China. Study focus data fusion
technology is also a key and difficult point in the field of flood research. Remote sensing and …
technology is also a key and difficult point in the field of flood research. Remote sensing and …
Homeowner flood risk and risk reduction from home elevation between the limits of the 100-and 500-year floodplains
Floods inflict significant damage even outside the 100-year floodplain. Thus, restricting flood
risk analysis to the 100-year floodplain (Special Flood Hazard Area (SFHA) in the United …
risk analysis to the 100-year floodplain (Special Flood Hazard Area (SFHA) in the United …
Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan
U Rasool, X Yin, Z Xu, R Padulano, MA Rasool… - Urban Climate, 2023 - Elsevier
Urban pluvial flooding (UPF) has emerged as a serious natural hazard, especially in recent
years. Previous research on UPF prediction has mainly focused on hydrological models …
years. Previous research on UPF prediction has mainly focused on hydrological models …
Projected changes in extreme streamflow and inland flooding in the mid-21st century over Northeastern United States using ensemble WRF-Hydro simulations
Abstract Study region Northeastern United States (NEUS). Study focus We investigate the
potential impacts of climate change on precipitation, streamflow, and inland flooding in the …
potential impacts of climate change on precipitation, streamflow, and inland flooding in the …
Spatial prediction of current and future flood susceptibility: Examining the implications of changing climates on flood susceptibility using machine learning models
N Mahdizadeh Gharakhanlou, L Perez - Entropy, 2022 - mdpi.com
The main aim of this study was to predict current and future flood susceptibility under three
climate change scenarios of RCP2. 6 (ie, optimistic), RCP4. 5 (ie, business as usual), and …
climate change scenarios of RCP2. 6 (ie, optimistic), RCP4. 5 (ie, business as usual), and …
Mitigating compound coastal water hazards in Eastern North Carolina
Eastern North Carolina (ENC), a predominantly rural region, experiences the intersection of
fluvial, pluvial, and tidal flooding, which leads to complex and impactful outcomes. Managing …
fluvial, pluvial, and tidal flooding, which leads to complex and impactful outcomes. Managing …
The effect of flood exposure on insurance adoption among US households
Despite increasing exposure to flooding and associated financial damages, estimates
suggest more than two‐thirds of flood‐exposed properties are currently uninsured. This low …
suggest more than two‐thirds of flood‐exposed properties are currently uninsured. This low …
Urban flood loss assessment and index insurance compensation estimation by integrating remote sensing and rainfall multi-source data: a case study of the 2021 …
Z Wu, X Zheng, Y Chen, S Huang, W Hu, C Duan - Sustainability, 2023 - mdpi.com
To address the problems of traditional insurance compensation methods for flood losses,
such as difficulty in determining losses, poor timeliness, a complicated compensation …
such as difficulty in determining losses, poor timeliness, a complicated compensation …