Suppr超能文献

调水对水资源管理有贡献:缓解黄河流域未来水资源分配危机。

Water transfer contributes to water resources management: Crisis mitigation for future water allocation in the Yellow River basin.

作者信息

Zhang Cheng-Yao, Oki Taikan

机构信息

Department of Civil Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

出版信息

iScience. 2024 Jul 25;27(9):110586. doi: 10.1016/j.isci.2024.110586. eCollection 2024 Sep 20.

Abstract

Optimizing water allocation is a crucial strategy for water planning in large basins, such as the Yellow River basin. The transforming water supply pattern, triggered by inter-basin water transfer, urges the optimization and refinement of water allocation. Here, we predict the future water demand for different sectors at the provincial level and carry out future water allocation based on a multi-objective allocation model. The results imply that "demand increases in midstream and water deficits in downstream" would persist by 2050, and the demand structure highlights potential sectoral rivalry for water resources in each province. Water transfer will be the "antidote" to water disputes and will account for 19.8% and 34.5% of the water demand in 2030 and 2050, respectively. This study provides a basis for the policymaking of water management and establishes the future allocation pattern from water resources to sectors in each province in the Yellow River basin.

摘要

优化水资源配置是大型流域(如黄河流域)水资源规划的关键策略。跨流域调水引发的供水模式转变促使水资源配置进行优化和精细化。在此,我们预测了省级层面不同部门未来的需水量,并基于多目标配置模型进行了未来水资源配置。结果表明,到2050年“中游需求增加、下游缺水”的情况仍将持续,需求结构凸显了各省潜在的部门间水资源竞争。调水将成为解决水争端的“解药”,分别占2030年和2050年需水量的19.8%和34.5%。本研究为水资源管理决策提供了依据,并确立了黄河流域各省从水资源到各部门的未来配置模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16e6/11363500/60233a324039/fx1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验