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China will build integrated drought and flood prediction platform

China Agriculture Report By CnAgriChina Agriculture Report Print
Keywords:China will build

BEIJING, Jan. 28 (Xinhuanet) -- In the following 5 years, scientists will build a key technical business system platform for drought and flood prediction in different climate regions of southern China and evaluate risk levels of agriculture and water resources to drought and flood disasters in these regions. On January 25, a project named “Variation pattern, mechanism and relevant influences and responsive measures of drought and flood disasters in southern China in the backdrop of climate change” was started up. This project belongs to the National Basic Research Program of China (973 Program).

 

It is introduced by expert of National Climate Center Li Weijing that this project aims to research on variation pattern, forming mechanism, prediction theories and measures of drought and flood disasters in southern China in the backdrop of climate change. This research is linked with China’s disaster prevention and reduction and socio-economic sustainable development.

 

This project includes 6 sub-topics. Administrator of CMA Zheng Guoguang highly praised it. He expected the meteorological experts to work together and study these significant questions so as to develop the meteorological service.

 

Products of the research on drought and flood mechanism in southern China will be applied into relevant prediction. Then an integrated drought and flood prediction platform in southern China will be established so as to improve the accuracy of drought and flood prediction.

 

In recent years, drought and flood disasters hit southern China frequently, which have caused more and more economic losses. Accurate prediction is beneficial for us to take responsive measures to reduce losses.

 

Deputy administrators of CMA Xu Xiaofengm, Academician of Chinese Academy of Engineering Ding Yihui, Li Zechun and other relevant meteorological experts participated in the meeting.

 

(Source: China Meteorological News Press)

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