Time-Lag Effect: River Algal Blooms on Multiple Driving Factors
文献类型:期刊论文
作者 | Liu, Chengjian1,2; Chen, Yan1,2,3; Zou, Lei4; Cheng, Bingfen1,2; Huang, Tonghui1,2 |
刊名 | FRONTIERS IN EARTH SCIENCE
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出版日期 | 2022-01-24 |
卷号 | 9页码:12 |
关键词 | river algal blooms time-lag effect drive factors river ecosystem Hanjiang River |
DOI | 10.3389/feart.2021.813287 |
通讯作者 | Liu, Chengjian(chengjianliu@stumail.nwu.edu.cn) |
英文摘要 | Compared to the eutrophication of lakes and reservoirs, the mechanism of river algal blooms in a flowing water body are more complicated, and often lead to serious consequence in catchment scale. Due to the simultaneous impact of a variety of environmental pressures, the water ecosystem integrity state often shows a response characteristic of accumulation, complexity and time lag, therefore it is difficult to use conventional hydrodynamic and water quality models to scientifically characterize and analyze. The lower Hanjiang River (HR) is an important influence area of the middle route of the South-to-North Water Diversion Project (SNWDP) in China, continuous river blooms issue has become a major national concern. In this study, a time-lag analysis approach was developed to identify the causes of algal blooms formation and the time-lag response law in the lower HR, including principal component analysis (PCA), grey relation analysis (GRA), and Almon Distributed Lag Model. Results found that, the hydrological regime (Delta H) contributes the most to the river bloom, especially due to the flow hindrance of the Yangtze River (YR) and the water project upstream. It is also found that the algal bloom outbreak in the lower HR is not an immediate response to the driving factors. It has a time lag of about 1 period (10 days) in the response with antecedent driving factors. Finally, we discussed the influence and its responding mechanism of Delta H on the growth of phytoplankton. The research can provide early warning for the prevention and control of algal blooms in the large river system. |
资助项目 | National Key R&D Program of China[2021YFC3201003] ; National Natural Science Foundation of China[51879252] ; Fundamental Research Funds for the Central Public-interest Scientific Institution[2021KSKY-04] ; Special Fund for Basic Scientific Research of Central Public Research Institutes[2020YSKY-003] ; Chinese Research Academy of Environmental Sciences |
WOS研究方向 | Geology |
语种 | 英语 |
WOS记录号 | WOS:000752032600001 |
出版者 | FRONTIERS MEDIA SA |
源URL | [http://119.78.100.138/handle/2HOD01W0/15263] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Liu, Chengjian |
作者单位 | 1.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing, Peoples R China 2.Chinese Res Inst Environm Sci, State Environm Protect Key Lab Estuarine & Coasta, Beijing, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proces, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Chengjian,Chen, Yan,Zou, Lei,et al. Time-Lag Effect: River Algal Blooms on Multiple Driving Factors[J]. FRONTIERS IN EARTH SCIENCE,2022,9:12. |
APA | Liu, Chengjian,Chen, Yan,Zou, Lei,Cheng, Bingfen,&Huang, Tonghui.(2022).Time-Lag Effect: River Algal Blooms on Multiple Driving Factors.FRONTIERS IN EARTH SCIENCE,9,12. |
MLA | Liu, Chengjian,et al."Time-Lag Effect: River Algal Blooms on Multiple Driving Factors".FRONTIERS IN EARTH SCIENCE 9(2022):12. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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