%0 Journal Article
%A LI  Zhe
%A XIANG  Da-xiang
%A CHEN  Zhe
%A CUI  Chang-lu
%T Drought Resistance Information Platform Driven by Digital Twins for the Changjiang River Basin: Design and Development
%D 2024
%R 10.11988/ckyyb.20230594
%J Journal of Yangtze River Scientific Research Institute
%P 180-188
%V 41
%N 8
%X <p id="p00010">In the context of global climate change, the Changjiang River basin has suffered from multiple severe high temperatures and drought disasters. Drought resistance management in the basin is faced with such bottleneck problems as low efficiency of drought monitoring and warning, inadequate accuracy of drought prediction and early-warning, and insufficient ability to deduce drought plans. To address these issues, digital transformation has become exigent. In line with the comprehensive requirements of smart water conservancy and digital twin technology, a digital twin platform for drought prevention has been constructed by utilizing WebGL and GIS to meet the operational management requirements of drought resistance and disaster mitigation in the Changjiang River Basin, aligning with the demands of the “forecast, early warning, preview, and contingency planning” principles. Key technologies have been developed, including remote sensing drought monitoring and evaluation, dynamic loading of drought-specific models, early-warning of water levels exceeding drought limit, and visualization of drought reduction plans. Consequently, the business application covering the full chain of “forecast, early warning, preview, and contingency planning” has been achieved. This has effectively improved the intelligent and refined level of drought resistance management in the Changjiang River Basin, providing technical support for drought prevention and disaster reduction in the basin.</p>
%U http://ckyyb.crsri.cn/EN/10.11988/ckyyb.20230594