气候变化领域集成服务门户(CCPortal): Predictive simulation and optimal allocation of surface water resources in reservoir basins under climate change

CCPortal

DOI	10.1016/j.iswcr.2023.08.003
	Predictive simulation and optimal allocation of surface water resources in reservoir basins under climate change
	Rong, Qiangqiang; Zhu, Shuwa; Yue, Wencong; Su, Meirong; Cai, Yanpeng
发表日期	2024
ISSN	2095-6339
EISSN	2589-059X
起始页码	12
结束页码	2
卷号	12 期号:2
英文摘要	Predicting and allocating surface water resources are becoming increasingly important tasks for addressing the risk of water shortages and challenges of climate change, especially in reservoir basins. However, surface water resource management includes many systematic uncertainties and complexities that are dif ficult to address. Thus, advanced models must be developed to support predictive simulations and optimal allocations of surface water resources, which are urgently required to ensure regional water supply security and sustainable socioeconomic development. In this study, a soil and water assessment tool -based interval linear multi -objective programming (SWAT-ILMP) model was developed and integrated with climate change scenarios, SWAT, interval parameter programming, and multi -objective programming. The developed model was applied to the Xinfengjiang Reservoir basin in South China and was able to identify optimal allocation schemes for water resources under different climate change scenarios. In the forecast year 2025, the optimal water quantity for power generation would be the highest and account for -60% of all water resources, the optimal water quantity for water supply would account for -35%, while the optimal surplus water released from the reservoir would be the lowest at <= 5%. In addition, climate change and reservoir initial storage would greatly affect the surplus water quantity but not the power generation or water supply quantity. In general, the SWAT-ILMP model is applicable and effective for water resource prediction and management systems. The results from different scenarios can provide multiple alternatives to support rational water resource allocation in the study area. (c) 2023 International Research and Training Center on Erosion and Sedimentation, China Water and Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BYNC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
英文关键词	Water resources management; Soil and water assessment tool; Interval linear multi -objective programming; Climate change; Reservoir basins
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Agriculture ; Water Resources
WOS类目	Environmental Sciences ; Soil Science ; Water Resources
WOS记录号	WOS:001225666300001
来源期刊	INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/307343
作者单位	Dongguan University of Technology; Dongguan University of Technology; Guangdong University of Technology
推荐引用方式 GB/T 7714	Rong, Qiangqiang,Zhu, Shuwa,Yue, Wencong,et al. Predictive simulation and optimal allocation of surface water resources in reservoir basins under climate change[J],2024,12(2).
APA	Rong, Qiangqiang,Zhu, Shuwa,Yue, Wencong,Su, Meirong,&Cai, Yanpeng.(2024).Predictive simulation and optimal allocation of surface water resources in reservoir basins under climate change.INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH,12(2).
MLA	Rong, Qiangqiang,et al."Predictive simulation and optimal allocation of surface water resources in reservoir basins under climate change".INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH 12.2(2024).