Water-Related Hazards and Climate Change

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (25 June 2021) | Viewed by 12911

Special Issue Editors

Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA
Interests: probable maximum precipitation (PMP); probable maximum flood (PMF); climate change; drought; precipitation and flood forecasting; regional climate model; land surface model; hydro-climate model

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Guest Editor
Department of Civil and Environmental Engineering, Seoul National University, Seoul 151-744, Korea
Interests: hydraulic and hydrologic engineering—environmental, turbulent, multiphase, and stratified flows and transport processes in water bodies (channels, rivers, lakes, estuaries, oceans, and aquifers); physical hydrology; nonlinear internal waves; climate change impacts; computational/environmental fluid dynamics for different length scales from micro- to geophysical fluids—modeling, algorithm development, numerical analysis, and applications in environmental and water resources engineering

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Guest Editor
Department of Environmental and Civil Engineering, Toyama Prefectural University, Toyama 939-0398, Japan
Interests: extreme precipitation; climate change scenarios; land surface process; downscaling techniques; snowfall and snow melt; hydrologic modeling; flood inundation simulation

Special Issue Information

Dear Colleagues,

Water-related hazards and climate change, including flood and drought, are considered among the most complex natural phenomena which are related to high numbers of fatalities, causing severe effects on natural, eco-, and socioeconomic systems. Determination and prediction of the trends of these extreme events are fundamental and challenging topics in hydro-climate studies. Therefore, this Special Issue will be focused on all aspects of extreme hydro-climate conditions including, but not limited to, hydrometeorology, atmosphere, and hydrology (from local to watershed) under various scales. Studies on all manner of the modeling, forecasting, assessment, and analysis of hydro-climate extremes are welcome, including estimation of extreme events by means of modeling, monitoring, and sensors; forecasting and warning technologies for extreme hydro-climate conditions;  early identification of a range of natural disasters such as drought, floods, flash-floods, landslides, avalanches, serious cases of hail damage, and external and internal mechanisms; assessment and projection of historical and future regimes (climate change scenarios, CIMIP5, CIMIP6); interaction between atmospheric and hydrologic systems; impacts and changes on natural systems, social systems, and economies. Studies may also consider evacuation, vulnerability and recovery, and mitigation and adaptation strategies for extreme hydro-climate conditions.

Dr. Toan Trinh
Prof. Dr. Van Thinh Nguyen
Prof. Dr. Shuichi Kure
Guest Editors

Manuscript Submission Information

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  • Drought
  • Flood
  • Extreme precipitation
  • Extreme flood
  • Atmospheric condition
  • Climate change scenarios
  • Forecasting and warning technologies
  • Early identification
  • Mitigation strategies.

Published Papers (1 paper)

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16 pages, 7189 KiB  
Mapping of Flood Areas Using Landsat with Google Earth Engine Cloud Platform
by Hamid Mehmood, Crystal Conway and Duminda Perera
Atmosphere 2021, 12(7), 866; https://doi.org/10.3390/atmos12070866 - 03 Jul 2021
Cited by 20 | Viewed by 11573
The Earth Observation (EO) domain can provide valuable information products that can significantly reduce the cost of mapping flood extent and improve the accuracy of mapping and monitoring systems. In this study, Landsat 5, 7, and 8 were utilized to map flood inundation [...] Read more.
The Earth Observation (EO) domain can provide valuable information products that can significantly reduce the cost of mapping flood extent and improve the accuracy of mapping and monitoring systems. In this study, Landsat 5, 7, and 8 were utilized to map flood inundation areas. Google Earth Engine (GEE) was used to implement Flood Mapping Algorithm (FMA) and process the Landsat data. FMA relies on developing a “data cube”, which is spatially overlapped pixels of Landsat 5, 7, and 8 imagery captured over a period of time. This data cube is used to identify temporary and permanent water bodies using the Modified Normalized Difference Water Index (MNDWI) and site-specific elevation and land use data. The results were assessed by calculating a confusion matrix for nine flood events spread over the globe. The FMA had a high true positive accuracy ranging from 71–90% and overall accuracy in the range of 74–89%. In short, observations from FMA in GEE can be used as a rapid and robust hindsight tool for mapping flood inundation areas, training AI models, and enhancing existing efforts towards flood mitigation, monitoring, and management. Full article
(This article belongs to the Special Issue Water-Related Hazards and Climate Change)
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