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Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing
Liu, Saiyan1; Huang, Shengzhi1; Xie, Yangyang2; Huang, Qiang1; Wang, Hao3; Leng, Guoyong4,5
2019-10-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume687Pages:244-256
Corresponding AuthorHuang, Shengzhi(huangshengzhi7788@126.com)
AbstractIt is necessary to assess the non-stationarity of a hydrological series under changing environments. This study aimed to determine the validity of the stationarity of low flow series in terms of trends and possible change points, as well as the time-scale that is responsible for the production of trends and change points in low flow series. Further, we investigated how climatic variables affect low flow variations by studying their scale-dependent relationships. The modified Mann-Kendall trend test, heuristic segmentation method, discrete wavelet transform, and Pearson correlation coefficient were co-utilized to achieve these objectives. The Wei River Basin (WRB), a typical Loess Plateau region in China, was selected as the case study. Results showed significantly decreasing trends and change points in the low flow series, indicating that its stationarity assumption is invalid. The 2-year and 4-year events were the most important time-scales contributing to the trend of the original low flow series, and the 8-year periodic scale was the most influential frequency component for change point generation. Additionally, the strongest scale-dependent relationships among high frequency components (2-year and 4-year scales) of the low flow series and climatic variables (precipitation, potential evaporation, and soil moisture) demonstrated the importance of climatic factors for driving the trends of a low flow series. In contrast, human activities, including water withdrawals and water and soil conservation projects showed strong influences on the non-stationarity of low flows via affecting the low frequency component (8-year frequency and approximate components). These findings contribute to a better understanding temporal variations of low flow and their responses to changing environments, and the results also would be helpful for local water resources management as well as agricultural and ecological sustainable development. (C) 2019 Elsevier B.V. All rights reserved.
KeywordLow flow Non-stationarity Change point Discrete wavelet transform Scale-dependent relationship
DOI10.1016/j.scitotenv.2019.06.025
WOS KeywordSPATIAL-TEMPORAL CHANGES ; CHINA CHANGING PATTERNS ; UNGAUGED SITES ; LOESS PLATEAU ; RIVER-BASIN ; TRENDS ; STREAMFLOW ; NONSTATIONARITY ; PRECIPITATION ; DERIVATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51709221] ; National Natural Science Foundation of China[51779203] ; State Key Laboratory of Ecohydraulics in Northwest Arid Region, Xi'an University of Technology[2018KFKT-5] ; Planning Project of Science and Technology of Water Resources of Shaanxi[2017slkj-19] ; Key laboratory research projects of Education Department of Shaanxi Province[17JS104] ; China Scholarship Council[201708610118] ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803] ; China Postdoctoral Science Foundation Grant[2018M642338] ; China Postdoctoral Science Foundation Grant[2018M640155] ; Natural Science Research of Jiangsu Higher Education Institutions of China[15KJB170019]
Funding OrganizationNational Natural Science Foundation of China ; State Key Laboratory of Ecohydraulics in Northwest Arid Region, Xi'an University of Technology ; Planning Project of Science and Technology of Water Resources of Shaanxi ; Key laboratory research projects of Education Department of Shaanxi Province ; China Scholarship Council ; Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) ; China Postdoctoral Science Foundation Grant ; Natural Science Research of Jiangsu Higher Education Institutions of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000480316300026
PublisherELSEVIER
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68738
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Shengzhi
Affiliation1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
2.Yangzhou Univ, Modern Rural Water Resources Res Inst, Sch Hydrol Energy & Power Engn, Yangzhou 225009, Jiangsu, Peoples R China
3.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
5.Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England
Recommended Citation
GB/T 7714
Liu, Saiyan,Huang, Shengzhi,Xie, Yangyang,et al. Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,687:244-256.
APA Liu, Saiyan,Huang, Shengzhi,Xie, Yangyang,Huang, Qiang,Wang, Hao,&Leng, Guoyong.(2019).Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing.SCIENCE OF THE TOTAL ENVIRONMENT,687,244-256.
MLA Liu, Saiyan,et al."Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing".SCIENCE OF THE TOTAL ENVIRONMENT 687(2019):244-256.
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