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Water quality and non-point sources of risk: the Jiulong River Watershed, P. R. of China.

Zhang, Jingjing LU ; Zhang, Luoping and Ricci, Paolo F (2012) In Water Science and Technology 65(1). p.38-45
Abstract
Retrospective water quality assessment plays an essential role in identifying trends and causal associations between exposures and risks, thus it can be a guide for water resources management. We have developed empirical relationships between several time-varying social and economic factors of economic development, water quality variables such as nitrate-nitrogen, COD(Mn), BOD(5), and DO, in the Jiulong River Watershed and its main tributary, the West River. Our analyses used alternative statistical methods to reduce the dimensionality of the analysis first and then strengthen the study's causal associations. The statistical methods included: factor analysis (FA), trend analysis, Monte Carlo/bootstrap simulations, robust regressions and a... (More)
Retrospective water quality assessment plays an essential role in identifying trends and causal associations between exposures and risks, thus it can be a guide for water resources management. We have developed empirical relationships between several time-varying social and economic factors of economic development, water quality variables such as nitrate-nitrogen, COD(Mn), BOD(5), and DO, in the Jiulong River Watershed and its main tributary, the West River. Our analyses used alternative statistical methods to reduce the dimensionality of the analysis first and then strengthen the study's causal associations. The statistical methods included: factor analysis (FA), trend analysis, Monte Carlo/bootstrap simulations, robust regressions and a coupled equations model, integrated into a framework that allows an investigation and resolution of the issues that may affect the estimated results. After resolving these, we found that the concentrations of nitrogen compounds increased over time in the West River region, and that fertilizer used in agricultural fruit crops was the main risk with regard to nitrogen pollution. The relationships we developed can identify hazards and explain the impact of sources of different types of pollution, such as urbanization, and agriculture. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Water Science and Technology
volume
65
issue
1
pages
38 - 45
publisher
IWA Publishing
external identifiers
  • wos:000299163100006
  • pmid:22173406
  • scopus:84862947942
  • pmid:22173406
ISSN
0273-1223
DOI
10.2166/wst.2011.792
language
English
LU publication?
yes
id
5414a7e8-23bc-43f3-952b-89b47ebc2d32 (old id 2273992)
date added to LUP
2016-04-01 15:02:04
date last changed
2022-01-28 03:43:12
@article{5414a7e8-23bc-43f3-952b-89b47ebc2d32,
  abstract     = {{Retrospective water quality assessment plays an essential role in identifying trends and causal associations between exposures and risks, thus it can be a guide for water resources management. We have developed empirical relationships between several time-varying social and economic factors of economic development, water quality variables such as nitrate-nitrogen, COD(Mn), BOD(5), and DO, in the Jiulong River Watershed and its main tributary, the West River. Our analyses used alternative statistical methods to reduce the dimensionality of the analysis first and then strengthen the study's causal associations. The statistical methods included: factor analysis (FA), trend analysis, Monte Carlo/bootstrap simulations, robust regressions and a coupled equations model, integrated into a framework that allows an investigation and resolution of the issues that may affect the estimated results. After resolving these, we found that the concentrations of nitrogen compounds increased over time in the West River region, and that fertilizer used in agricultural fruit crops was the main risk with regard to nitrogen pollution. The relationships we developed can identify hazards and explain the impact of sources of different types of pollution, such as urbanization, and agriculture.}},
  author       = {{Zhang, Jingjing and Zhang, Luoping and Ricci, Paolo F}},
  issn         = {{0273-1223}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{38--45}},
  publisher    = {{IWA Publishing}},
  series       = {{Water Science and Technology}},
  title        = {{Water quality and non-point sources of risk: the Jiulong River Watershed, P. R. of China.}},
  url          = {{http://dx.doi.org/10.2166/wst.2011.792}},
  doi          = {{10.2166/wst.2011.792}},
  volume       = {{65}},
  year         = {{2012}},
}