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 …

[HTML][HTML] An open-source platform for geospatial participatory modeling in the cloud

CT White, A Petrasova, V Petras, LG Tateosian… - … Modelling & Software, 2023 - Elsevier
Participatory modeling facilitates the co-production of knowledge and action by engaging
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 …

Homeowner flood risk and risk reduction from home elevation between the limits of the 100-and 500-year floodplains

A Al Assi, RB Mostafiz, CJ Friedland, RV Rohli… - Frontiers in Earth …, 2023 - frontiersin.org
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 …

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 …

Projected changes in extreme streamflow and inland flooding in the mid-21st century over Northeastern United States using ensemble WRF-Hydro simulations

S Pal, J Wang, J Feinstein, E Yan… - Journal of Hydrology …, 2023 - Elsevier
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 …

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 …

Mitigating compound coastal water hazards in Eastern North Carolina

A Mukherji, S Curtis, J Helgeson, J Kruse… - Journal of …, 2024 - Taylor & Francis
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 …

The effect of flood exposure on insurance adoption among US households

J Choi, NS Diffenbaugh, M Burke - Earth's Future, 2024 - Wiley Online Library
Despite increasing exposure to flooding and associated financial damages, estimates
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 …