[1]缪海珊,俞丽群,陈兴伟*.闽江上游大型水库对基流演变的影响[J].山地学报,2025,(5):672-681.[doi:10.16089/j.cnki.1008-2786.000921]
　MIAO Haishan,YU Liqun,CHEN Xingwei*.Impact of Large Reservoirs in the Upper Minjiang River, China on Baseflow Evolution[J].Mountain Research,2025,(5):672-681.[doi:10.16089/j.cnki.1008-2786.000921]
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闽江上游大型水库对基流演变的影响()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2025年第5期
页码:
672-681
栏目:
山地环境
出版日期:
2025-12-30

文章信息/Info

Title:
Impact of Large Reservoirs in the Upper Minjiang River, China on Baseflow Evolution
文章编号:
1008-2786-(2025)5-672-10
作者:
缪海珊; 俞丽群; 陈兴伟*
(福建师范大学 a.地理科学学院,碳中和未来技术学院; b.湿润亚热带生态地理过程教育部重点实验室,福州350007)
Author(s):
MIAO Haishan;  YU Liqun; CHEN Xingwei*
(a. School of Geographical Sciences,School of Carbon Neutrality Future Technology; b. Key Laboratory of Humid Subtropical Eco-Geographical Processes(Ministry of Education), Fujian Normal University, Fuzhou 350007, China)
关键词:
基流;  年际变化;  大型水库;  闽江
Keywords:
baseflow;  annual change;  large reservoir;  the Minjiang River
DOI:
10.16089/j.cnki.1008-2786.000921
文献标志码:
A
摘要:
人类活动是地表水文循环过程中基流演变的主导驱动力之一。大型水库通过重塑径流时空过程影响基流,但不同流域水库对基流的影响差异显著,缺乏在气候变化与土地利用变化共同作用下合理区分水库贡献的方法论探讨。本研究以闽江上游建阳水文站流域为例,应用Eckhardt双参数数字滤波法提取1971—2020年武夷山站、建阳站和麻沙站三站基流序列,利用Mann-Kendall趋势分析与Pettitt突变检验方法,从气候变化、土地利用变化与水库建设三方面进行基流演变的归因分析。结果表明:(1)三站多年平均基流指数分别为0.61、0.62与0.64,结果与邻近流域研究一致,具有合理性。(2)三站年基流量与基流指数呈现显著空间差异。武夷山站年基流量和基流指数均呈显著上升趋势(P<0.05),且于1990年前后发生突变; 建阳站基流量无显著趋势,基流指数显著上升(P<0.05),突变点为1998年; 麻沙站无显著变化及突变。(3)武夷山站基流及指数变化(显著上升)与降雨、土地利用变化(不显著变化, P>0.05)不同步,该站年基流突变时点(1991年)和基流指数突变时点(1989年)与水库建成时间(1988年)高度吻合,东溪水库运行是武夷山站基流变化的主控因素。本研究可为变化环境下定量识别大型水库对基流影响提供新方法与案例支撑,为流域水资源管理与生态保护决策提供科学依据。
Abstract:
Human activities constitute a primary driver of baseflow evolution in earth surface hydrological cycle. While large reservoirs(total capacity ≥100 million m3)significantly alter baseflow by reshaping spatiotemporal runoff processes, their impacts exhibit pronounced variability among basins, and a critical methodological gap persists in disentangling reservoir contributions from concurrent climate and land-use changes.
This study investigated the Jianyang hydrometric catchment in the upper reaches of the Minjiang River, southeast China. The Eckhardt two-parameter digital filtering method was applied to extract the baseflow sequences of three stations(Wuyishan station, Jianyang station, and Mashashan station)from 1971 to 2020. Mann-Kendall trend analysis and Pettitt abrupt change detection were employed to attribute baseflow variations to three factors: climate change, land-use change, and reservoir construction.
(1)Key findings reveal that long-term mean baseflow indices(BFI)were 0.61, 0.62, and 0.64 for Wuyishan, Jianyang, and Mashan stations respectively, consistent with findings from adjacent basins, and validating methodological reliability.
(2)Significant spatial heterogeneity exists: Wuyishan station showed increasing trends in both annual baseflow(P<0.05)and BFI(P<0.05)with abrupt changes around 1990; Jianyang station exhibited no significant baseflow trend but rising BFI(P<0.05)with a 1998 breakpoint; Masha station showed no significant trends or breakpoints.
(3)The baseflow and its index at Wuyishan station(significant upward trends)were inconsistent with the changes in rainfall and land use(non-significant, P>0.05), while the abrupt change point of the baseflow and index(1991 and 1989)coincided precisely with reservoir impoundment. Dongxi Reservoir operation(constructed in 1988)was the primary factor controlling baseflow behavior at Wuyishan station.
This research establishes a robust framework for quantifying reservoir-specific baseflow impacts under changing environments, providing scientific foundations for watershed water resource management and ecological conservation.

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备注/Memo

备注/Memo:
收稿日期(Received date): 2025- 01-21; 改回日期(Accepted date): 2025- 09- 01
基金项目(Foundation item): 国家自然科学基金(U22A20554)[National Natural Science Foundation of China(U22A20554)]
作者简介(Biography): 缪海珊(1999-), 男, 福建宁德人, 硕士研究生, 主要研究方向: 水文学与水资源。[MIAO Haishan(1999-), male, born in Ningde, Fujian Province, M.Sc. candidate, research on hydrology and water resource] E-mail: 2289069905@qq.com
更新日期/Last Update: 2025-10-20