Literature DB >> 29890473

Exploring spatiotemporal changes of the Yangtze River (Changjiang) nitrogen and phosphorus sources, retention and export to the East China Sea and Yellow Sea.

Xiaochen Liu1, Arthur H W Beusen2, Ludovicus P H Van Beek3, José M Mogollón4, Xiangbin Ran5, Alexander F Bouwman2.   

Abstract

Nitrogen (N) and phosphorus (P) flows from land to sea in the Yangtze River basin were simulated for the period 1900-2010, by combining models for hydrology, nutrient input to surface water, and an in-stream retention. This study reveals that the basin-wide nutrient budget, delivery to surface water, and in-stream retention increased during this period. Since 2004, the Three Gorges Reservoir has contributed 5% and 7% of N and P basin-wide retention, respectively. With the dramatic rise in nutrient delivery, even this additional retention was insufficient to prevent an increase of riverine export from 337 Gg N yr-1 and 58 Gg P yr-1 (N:P molar ratio = 13) to 5896 Gg N yr-1 and 381 Gg P yr-1 (N:P molar ratio = 35) to the East China Sea and Yellow Sea (ECSYS). The midstream and upstream subbasins dominate the N and P exports to the ECSYS, respectively, due to various human activities along the river. Our spatially explicit nutrient source allocation can aid in the strategic targeting of nutrient reduction policies. We posit that these should focus on improving the agricultural fertilizer and manure use efficiency in the upstream and midstream and better urban wastewater management in the downstream subbasin.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Mechanism model; Nutrient delivery; Nutrient export; Nutrient retention; Source attribution; The Yangtze River

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Year:  2018        PMID: 29890473     DOI: 10.1016/j.watres.2018.06.006

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  Pre- and post-dam river water temperature alteration prediction using advanced machine learning models.

Authors:  Dinesh Kumar Vishwakarma; Rawshan Ali; Shakeel Ahmad Bhat; Ahmed Elbeltagi; Nand Lal Kushwaha; Rohitashw Kumar; Jitendra Rajput; Salim Heddam; Alban Kuriqi
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-28       Impact factor: 5.190

2.  Multi-scale Modeling of Nutrient Pollution in the Rivers of China.

Authors:  Xi Chen; Maryna Strokal; Michelle T H Van Vliet; John Stuiver; Mengru Wang; Zhaohai Bai; Lin Ma; Carolien Kroeze
Journal:  Environ Sci Technol       Date:  2019-08-01       Impact factor: 9.028

  2 in total

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