New Insights into Sediment Transport in Interconnected River–Lake Systems Through Tracing Microorganisms-Reference-Cited by-同舟云学术

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New Insights into Sediment Transport in Interconnected River–Lake Systems Through Tracing Microorganisms

Published:2019-03-13 Issue:8 Volume:53 Page:4099-4108
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Zhang Wenlong¹,Gu Jinfei¹,Li Yi¹^ORCID,Lin Li²,Wang Peifang¹^ORCID,Wang Chao¹,Qian Bao³,Wang Haolan¹,Niu Lihua¹,Wang Longfei¹,Zhang Huanjun¹,Gao Yu¹,Zhu Mengjie¹,Fang Siqi¹

Affiliation:

1. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, P.R. China

2. Basin Water Environmental Research Department, Changjiang River Scientific Research Institute, Wuhan 430010, P.R. China

3. Hydrology Bureau of Changjiang Water Resources Commission, Wuhan 430010, P.R. China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Ministry of Education of the People's Republic of China

Government of Jiangsu Province

Top-notch Academic Programs Project of Jiangsu Higher Education Institutions

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.8b07334

Reference49 articles.

1. Changes in water and sediment exchange between the Changjiang River and Poyang Lake under natural and anthropogenic conditions, China

2. Flooding Hydrology and Mixture Dynamics of Lake Water Derived from Multiple Sources in an Amazon Floodplain Lake

3. Major flood disturbance alters river ecosystem evolution

4. Distinguishing the relative impacts of climate change and human activities on variation of streamflow in the Poyang Lake catchment, China

5. Suspended sediment transport dynamics in rivers: Multi-scale drivers of temporal variation

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