Literature DB >> 26945962

Spatiotemporal patterns and source attribution of nitrogen load in a river basin with complex pollution sources.

Xiaoying Yang1, Qun Liu2, Guangtao Fu3, Yi He4, Xingzhang Luo5, Zheng Zheng5.   

Abstract

Environmental problems such as eutrophication caused by excessive nutrient discharge are global challenges. There are complex pollution sources of nitrogen (N) discharge in many river basins worldwide. Knowledge of its pollution sources and their respective load contributions is essential to developing effective N pollution control strategies. N loads from all known anthropogenic pollution sources in the Upper Huai River basin of China were simulated with the process-based SWAT (Soil and Water Assessment Tool) model. The performances of SWAT driven by daily and hourly rainfall inputs were assessed and it was found that the one driven by hourly rainfall outperformed the one driven by daily rainfall in simulating both total nitrogen (TN) and ammonia nitrogen (NH4-N) loads. The hourly SWAT model was hence used to examine the spatiotemporal patterns of TN and NH4-N loads and their source attributions. TN load exhibited significant seasonal variations with the largest in summer and the smallest in spring. Despite its declining proportion of contribution downstream, crop production remained the largest contributor of TN load followed by septic tanks, concentrated animal feedlot operations (CAFOs), municipal sewage treatment plants, industries, and scattered animal feedlot operations (SAFOs). There was much less seasonal variation in NH4-N load. CAFOs remained the largest source of NH4-N load throughout the basin, while contributions from industries and municipal sewage treatment plants were more evident downstream. Our study results suggest the need to shift the focus of N load reduction from "end-of-pipe" sewage treatment to an integrated approach emphasizing stakeholder involvement and source prevention.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hourly rainfall; Huai river; Nitrogen load; Pollution source attribution; SWAT; Spatiotemporal pattern

Mesh:

Substances:

Year:  2016        PMID: 26945962     DOI: 10.1016/j.watres.2016.02.040

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


  6 in total

1.  Stochastic sensitivity analysis of nitrogen pollution to climate change in a river basin with complex pollution sources.

Authors:  Xiaoying Yang; Lit Tan; Ruimin He; Guangtao Fu; Jinyin Ye; Qun Liu; Guoqing Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-26       Impact factor: 4.223

2.  Comparison of different ecological remediation methods for removing nitrate and ammonium in Qinshui River, Gonghu Bay, Taihu Lake.

Authors:  Hao Wang; Zhengkui Li; Huayang Han
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-29       Impact factor: 4.223

3.  Monitoring and research of microcystins and environmental factors in a typical artificial freshwater aquaculture pond.

Authors:  Xiaobin Hu; Rongfei Zhang; Jinyun Ye; Xiang Wu; Yixiang Zhang; Chenglong Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-12-12       Impact factor: 4.223

4.  Spatial Regression and Prediction of Water Quality in a Watershed with Complex Pollution Sources.

Authors:  Xiaoying Yang; Qun Liu; Xingzhang Luo; Zheng Zheng
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

5.  Pollution Source Apportionment and Water Quality Risk Evaluation of a Drinking Water Reservoir during Flood Seasons.

Authors:  Guoshuai Qin; Jianwei Liu; Shiguo Xu; Ya Sun
Journal:  Int J Environ Res Public Health       Date:  2021-02-15       Impact factor: 3.390

6.  Changes in the Surface Water Nitrogen Content in the Upper Hun River Basin, Northeast China.

Authors:  Wenkai Jin; Jian Ma; Xin Chen; Guohui Yan
Journal:  Comput Intell Neurosci       Date:  2022-07-31
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.