An international research team is calling for a ‘global’ approach to help mitigate flood damage

Advances in atmospheric sciences“>

Advances in atmospheric sciences“width =” 800 “height =” 480 “/>
By combining a large-scale hydrological model with a local high-resolution hydraulic model and an urban flood model, integrating multiple data sources from remote soil and satellite readings, the Glocal (Global to Local) Hydrometeorological Flood Solution -F is developed for better preparedness. flood mitigation and management – such as that associated with the catastrophic mei-yu / baiu rain events of 2020 – both nationally and locally. Credit: Advances in atmospheric sciences

Global forecasting and field observations need to be combined into a single system to better predict and prevent widespread flood disasters, according to an international research team that published a summary in Advances in the sciences of the atmosphere December 23.

“Hydrometeorological solution for floods from global to local” is considered crucial for better preparedness, mitigation and management of various types of significant floods caused by precipitation, which occur almost every year in many countries, such as China, India and the United States. said author Huan Wu, professor and deputy director at the Key Laboratory for Climate Change and Natural Disasters in Guangdong Province and at the School of Atmospheric Sciences of Sun Yat-sen University.

Such a solution, dubbed the GHS-F by researchers, is necessary for both scientific research and operational logistics, Wu said. The GHS-F could combine widespread weather forecasts with a deep understanding of how projected rainfall could affect river basins to produce very detailed and consistent information on rain floods.

Wu pointed to the complex relationship between rain and floods, arguing that if meteorological and hydrological communities share more observations, techniques, measurements and modeled data, as well as lessons learned, some flood damage could be avoided.

Researchers specifically examined the flood events from May 20 to July 18, 2020 in central and southern China. In those two months, the Yangtze River – the longest river in Asia at nearly 4,000 miles – had 49% more rain than the average over the same time period in 60 years. The seven major rain events during this period affected nearly 40 million people in 27 provinces, and 141 people were reported dead or missing, according to researchers.

“A comprehensive overview of flood phenomena, evolution, range dynamics and spatial distribution of high-risk floodplains globally or nationally with local details is highly desirable, but still lacks international and national agencies with a mandate in flood response and management,” Wu said. .

The GHS-F was first proposed about 10 years ago, Wu said, but unprecedented computing capability and timely data availability, as well as the interoperability of current-era models and data, mean such a solution is now more practical.

The researchers plan to demonstrate feasibility in the GHS-F by real-time assessment of water level observations from terrestrial and remote devices, with the aim of increasing the confidence of emergency management decision makers in using this information and risk assessment tool.

Hunting for a missing rescue team in flood-hit Vietnam, more rain forecasts

More information:
Huan Wu et al., From heavy rainfall in China in 2020 to “Glocal” hydrometeorological solution for flood risk forecasting, Advances in the sciences of the atmosphere (2020). DOI: 10.1007 / s00376-020-0260-y

Provided by the Chinese Academy of Sciences

Citation: The International Research Team calls for a “global” approach to flood mitigation assistance (2020, December 24) taken on December 24, 2020 from glocal- Approach-mitigate. html

This document is protected by copyright. Except for any fair dealing for the purpose of private study or research, no part may be reproduced without written permission. The content is available for informational purposes only.