文献类型：期刊文献

英文题名：Future spatial and temporal variation of blue and green water in the Jing River Basin of central China under changing climatic conditions

作者：Zhan, Yangying[1,2] Li, Chunyi[1] Tang, Jun[2] Ning, Yu[1] Fan, Guiying[2] Deng, Liting[2] Ma, Hua[1]

第一作者：Zhan, Yangying

通信作者：Li, CY[1]

机构：[1]Chinese Acad Forestry, Inst Wetland Res, Beijing Key Lab Wetland Serv & Restorat, Beijing, Peoples R China;[2]Yangtze Univ, Sch Geosci, Wuhan, Peoples R China

年份：2024

卷号：12

外文期刊名：FRONTIERS IN ENVIRONMENTAL SCIENCE

收录：;Scopus(收录号：2-s2.0-85200685432);WOS:【SCI-EXPANDED(收录号:WOS:001285380300001)】；

基金：The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Fundamental Research Funds for the Central Non-profit Research Institution of Chinese Academy of Forestry (CAFYBB2020SZ006).

语种：英文

外文关键词：climate change; Jing River Basin; blue and green water; SDSM model; SWAT model

摘要：The blue and green water resource distribution of the Jing River Basin, a cradle of Chinese civilization on the Loess Plateau, was studied using the Soil and Water Assessment Tool and the Sequential Uncertainty Fitting algorithm (vers. 2). Understanding these resources aids in the ecological preservation of the Yellow River Basin and its high-quality development. Future climate conditions were simulated using the Statistical Downscaling Model (SDSM). The data came from the Shared Socioeconomic Pathway (SSP) projections (SSP1-2.6, SSP2-4.5, and SSP5-8.5) in the Canadian Earth System Model (vers. 5), covering the 2030s, 2060s, and 2090s (based on 2015-2045, 2046-2075, and 2076-2100 climate projections, respectively). The SDSM accurately simulated temperature and precipitation trends, with its temperature predictions being more accurate. The results show that the maximum temperature, minimum temperature, and precipitation tend to increase under the three future climate scenarios, and the amount of blue and green water continues to increase in the future, with the SSP5-8.5 scenario showing the highest amount of blue and green water, and the SSP1-2.6 scenario showing the lowest amount of blue and green water, in terms of the climate scenarios. In terms of temporal distribution, 2090s has the most abundant blue and green water and 2030s has the least blue and green water content. Forecasting blue and green water changes due to climate change is vital for regional water management and risk assessment.