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Chloe J Pow,Rosie Fellows,Hannah L White et al. Chloe J Pow et al.
The frequency of plastic debris entering agricultural land is likely going to increase due to increased discharge into surface waters and more frequent flood events. Microbial biofilm on the surfaces of plastic pollution (known as the 'plas...
Aaron Tettey Tetteh,Abdul-Wadood Moomen,Lily Lisa Yevugah et al. Aaron Tettey Tetteh et al.
In this study, five parameters that influence both pluvial and fluvial flooding were assessed to map flood-prone areas within the Sunyani Municipality. These are precipitation, drainage density, LULC, elevation, and slope, which were integrated in GIS.
Md Abdullah Al Mehedi,Virginia Smith,Hossein Hosseiny et al. Md Abdullah Al Mehedi et al.
This approach is a significant step towards resolving the complexities of urban fluvial flooding with a large multi-dimensional dataset in a highly computationally efficient manner. © 2022. The Author(s).
Heather Craig,Ryan Paulik,Utkur Djanibekov et al. Heather Craig et al.
This study quantifies the exposure of agricultural land in Aotearoa-New Zealand's (A-NZ) flood hazard zones (FHZs). We developed a spatio-temporal flood exposure framework to quantify the extent of the area and yearly earnings before income...
Jessica Ponting,Anne Verhoef,Michael J Watts et al. Jessica Ponting et al.
Inundation of river water during flooding deposits contaminated sediments onto floodplain topsoil. Historically, floodplains were considered an important sink for potentially toxic elements (PTEs). With increasing flood frequency and durati...
Mahfuzur Rahman,Ningsheng Chen,Ahmed Elbeltagi et al. Mahfuzur Rahman et al.
The maps constructed via the LWLR-RF algorithm revealed that the proportions of different categories of flooding areas in Bangladesh are fluvial flooding 1.50%, 5.71%, 12.66%, and 13.77% of the total land area; flash floods of 4.16%, 8.90%, 11.11%, and 5.07%; pluvial flooding: 5.72%, 3.25%, 5.07%, and
Shang-Shu Shih,Pin-Han Kuo,Jihn-Sung Lai Shang-Shu Shih
This study evaluated the impacts of pluvial floods considering fluvial flooding effects through field surveys and numerical model simulations. Nonstructural flood protection measures are provided by establishing warning water levels based on variant scenario simulations.
Andimuthu Ramachandran,Kandasamy Palanivelu,B V Mudgal et al. Andimuthu Ramachandran et al.
In this study, the impact of climate change on fluvial flooding was analyzed over the Adyar sub-basin. This study applied statistically downscaled Global Climate Model (GCM) data in a CMIP5 dataset of IPCC Assessment Report 5 (AR5).
Ciaran Broderick,Conor Murphy,Robert L Wilby et al. Ciaran Broderick et al.
Using the "scenario-neutral" approach to impact assessment the sensitivity of Irish catchments to fluvial flooding is examined in the context of national climate change allowances.
Hamed R Moftakhari,Gianfausto Salvadori,Amir AghaKouchak et al. Hamed R Moftakhari et al.
Common flood hazard assessment practices typically account for one driver at a time (e.g., either fluvial flooding only or ocean flooding only), whereas coastal cities vulnerable to SLR are at risk for flooding from multiple drivers (e.g., extreme coastal high tide, storm surge, and river flow).
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