Literature DB >> 33744272

The source apportionment of N and P pollution in the surface waters of lowland urban area based on EEM-PARAFAC and PCA-APCS-MLR.

Dali Shen1, Saihua Huang2, Yiping Zhang1, Yongchao Zhou3.   

Abstract

Multiple sources contribute to nitrogen(N) and phosphorus (P) pollution in lowland urban rivers, and apportioning the sources of N and P pollution is essential for improving the ecological health of urban environments. Three urban polders in Jiaxing were selected to investigate the temporal variations of N and P pollutants in lowland urban river waters under dry and wet conditions. Moreover, the main potential sources of N and P pollution were identified through the correlations of pollutants and components of dissolved organic matter (DOM) derived from excitation-emission matrix (EEM) and parallel factor analysis (PARAFAC). The results indicate that the main pollution sources identified with PCA method were consistent with the potential sources revealed by DOM's EEM-PARAFAC components. Furthermore, absolute principal components score combined with multivariate linear regression (APCS-MLR) was conducted. The results illustrated that domestic wastewater contributes more than 70% of N pollution and river-bottom sediments contribute more than 50% of P pollution under dry conditions. On the contrary, discharged water from the stormwater outlets contributes more than 41% of P and 75% of N under wet conditions. Specifically, about 48% of them come from domestic wastewater, and about 38% come from urban surface runoff. This study highlights the effectiveness of DOM components derived from EEM-PARAFAC in identifying the sources of N and P pollution and the PCA-APCS-MLR in apportioning the contributions of each potential pollution source in lowland urban rivers.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DOM; EEM-PARAFAC; Lowland urban rivers; Nitrogen; Phosphorus; Source apportionment

Year:  2021        PMID: 33744272     DOI: 10.1016/j.envres.2021.111022

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  2 in total

1.  Combining the multivariate statistics and dual stable isotopes methods for nitrogen source identification in coastal rivers of Hangzhou Bay, China.

Authors:  Jia Zhou; Minpeng Hu; Mei Liu; Julin Yuan; Meng Ni; Zhiming Zhou; Dingjiang Chen
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-27       Impact factor: 5.190

2.  Spatial-Temporal Variations of Water Quality in Urban Rivers after Small Sluices Construction: A Case in Typical Regions of the Taihu Lake Basin.

Authors:  Feng Lan; Wang Haisen; Yan Yan
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

  2 in total

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