Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management

Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area,China,from 2003–2008 to investigate spatio-temporal variations and identify potential pollution s...

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Published inJournal of environmental sciences (China) Vol. 23; no. 9; pp. 1460 - 1471
Main Authors Zhao, Jian, Fu, Guo, Lei, Kim, Li, Yanwu
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.09.2011
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Abstract Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area,China,from 2003–2008 to investigate spatio-temporal variations and identify potential pollution sources.Using cluster analysis,the twelve months of the year were classified into three periods of lowflow (LF),normal-flow (NF),and high-flow (HF);and the 37 monitoring sites were divided into low pollution (LP),moderate pollution (MP),and high pollution (HP).Dissolved oxygen (DO),potassium permanganate index (COD Mn ),and ammonia-nitrogen (NH 4 +-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests.Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF,heavy metals during LF,and petroleum during HF.In the MP region,the identified pollutants primarily included organic matter and heavy metals year-around,while in the LP region,organic pollution was significant during both NF and HF,and nutrient and heavy metal levels were high during both LF and HF.The main sources of pollution came from domestic wastewater and agricultural activities and runoff;however,they contributed differently to each region in regards to pollution levels.For the HP region,inputs from wastewater treatment plants were significant;but for MP and LP regions,water pollution was more likely from the combined effects of agriculture,domestic wastewater,and chemical industry.These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
AbstractList Multivariate statistical techniques, cluster analysis, non-parametric tests, and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area, China, from 2003–2008 to investigate spatio-temporal variations and identify potential pollution sources. Using cluster analysis, the twelve months of the year were classified into three periods of low-flow (LF), normal-flow (NF), and high-flow (HF); and the 37 monitoring sites were divided into low pollution (LP), moderate pollution (MP), and high pollution (HP). Dissolved oxygen (DO), potassium permanganate index (COD Mn), and ammonia-nitrogen (NH 4 +-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests. Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF, heavy metals during LF, and petroleum during HF. In the MP region, the identified pollutants primarily included organic matter and heavy metals year-around, while in the LP region, organic pollution was significant during both NF and HF, and nutrient and heavy metal levels were high during both LF and HF. The main sources of pollution came from domestic wastewater and agricultural activities and runoif; however, they contributed differently to each region in regards to pollution levels. For the HP region, inputs from wastewater treatment plants were significant; but for MP and LP regions, water pollution was more likely from the combined effects of agriculture, domestic wastewater, and chemical industry. These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Multivariate statistical techniques, cluster analysis, non-parametric tests, and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area, China, from 2003–2008 to investigate spatio-temporal variations and identify potential pollution sources. Using cluster analysis, the twelve months of the year were classified into three periods of low-flow (LF), normal-flow (NF), and high-flow (HF); and the 37 monitoring sites were divided into low pollution (LP), moderate pollution (MP), and high pollution (HP). Dissolved oxygen (DO), potassium permanganate index (CODMₙ), and ammonia-nitrogen (NH₄ ⁺-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests. Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF, heavy metals during LF, and petroleum during HF. In the MP region, the identified pollutants primarily included organic matter and heavy metals year-around, while in the LP region, organic pollution was significant during both NF and HF, and nutrient and heavy metal levels were high during both LF and HF. The main sources of pollution came from domestic wastewater and agricultural activities and runoif; however, they contributed differently to each region in regards to pollution levels. For the HP region, inputs from wastewater treatment plants were significant; but for MP and LP regions, water pollution was more likely from the combined effects of agriculture, domestic wastewater, and chemical industry. These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Multivariate statistical techniques, cluster analysis, non-parametric tests, and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area, China, from 2003-2008 to investigate spatio-temporal variations and identify potential pollution sources. Using cluster analysis, the twelve months of the year were classified into three periods of low-flow (LF), normal-flow (NF), and high-flow (HF); and the 37 monitoring sites were divided into low pollution (LP), moderate pollution (MP), and high pollution (HP). Dissolved oxygen (DO), potassium permanganate index (COD sub(Mn)), and ammonia-nitrogen (NH super(+) sub(4)-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests. Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF, heavy metals during LF, and petroleum during HF. In the MP region, the identified pollutants primarily included organic matter and heavy metals year-around, while in the LP region, organic pollution was significant during both NF and HF, and nutrient and heavy metal levels were high during both LF and HF. The main sources of pollution came from domestic wastewater and agricultural activities and runoif; however, they contributed differently to each region in regards to pollution levels. For the HP region, inputs from wastewater treatment plants were significant; but for MP and LP regions, water pollution was more likely from the combined effects of agriculture, domestic wastewater, and chemical industry. These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area,China,from 2003–2008 to investigate spatio-temporal variations and identify potential pollution sources.Using cluster analysis,the twelve months of the year were classified into three periods of lowflow (LF),normal-flow (NF),and high-flow (HF);and the 37 monitoring sites were divided into low pollution (LP),moderate pollution (MP),and high pollution (HP).Dissolved oxygen (DO),potassium permanganate index (COD Mn ),and ammonia-nitrogen (NH 4 +-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests.Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF,heavy metals during LF,and petroleum during HF.In the MP region,the identified pollutants primarily included organic matter and heavy metals year-around,while in the LP region,organic pollution was significant during both NF and HF,and nutrient and heavy metal levels were high during both LF and HF.The main sources of pollution came from domestic wastewater and agricultural activities and runoff;however,they contributed differently to each region in regards to pollution levels.For the HP region,inputs from wastewater treatment plants were significant;but for MP and LP regions,water pollution was more likely from the combined effects of agriculture,domestic wastewater,and chemical industry.These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
X824; Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area,China,from 2003-2008 to investigate spatio-temporal variations and identify potential pollution sources.Using cluster analysis,the twelve months of the year were classified into three periods of lowflow (LF),normal-flow (NF),and high-flow (HF); and the 37 monitoring sites were divided into low pollution (LP),moderate pollution (MP),and high pollution (HP).Dissolved oxygen (DO),potassium permanganate index (CODMn),and ammonia-nitrogen (NH4+-N)were identified as significant variables affecting temporal and spatial variations by non-parametric tests.Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF,heavy metals during LF,and petroleum during HF.In the MP region,the identified pollutants primarily included organic matter and heavy metals year-around,while in the LP region,organic pollution was significant during both NF and HF,and nutrient and heavy metal levels were high during both LF and HF.The main sources of pollution came from domestic wastewater and agricultural activities and runoff; however,they contributed differently to each region in regards to pollution levels.For the HP region,inputs from wastewater treatment plants were significant; but for MP and LP regions,water pollution was more likely from the combined effects of agriculture,domestic wastewater,and chemical industry.These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Multivariate statistical techniques, cluster analysis, non-parametric tests, and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area, China, from 2003-2008 to investigate spatio-temporal variations and identify potential pollution sources. Using cluster analysis, the twelve months of the year were classified into three periods of low-flow (LF), normal-flow (NF), and high-flow (HF); and the 37 monitoring sites were divided into low pollution (LP), moderate pollution (MP), and high pollution (HP). Dissolved oxygen (DO), potassium permanganate index (COD(Mn)), and ammonia-nitrogen (NH4(+)-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests. Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF, heavy metals during LF, and petroleum during HF. In the MP region, the identified pollutants primarily included organic matter and heavy metals year-around, while in the LP region, organic pollution was significant during both NF and HF, and nutrient and heavy metal levels were high during both LF and HF. The main sources of pollution came from domestic wastewater and agricultural activities and runoff; however, they contributed differently to each region in regards to pollution levels. For the HP region, inputs from wastewater treatment plants were significant; but for MP and LP regions, water pollution was more likely from the combined effects of agriculture, domestic wastewater, and chemical industry. These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Author Fu, Guo
Zhao, Jian
Lei, Kim
Li, Yanwu
AuthorAffiliation Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
AuthorAffiliation_xml – name: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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  surname: Zhao
  fullname: Zhao, Jian
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  fullname: Fu, Guo
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  givenname: Kim
  surname: Lei
  fullname: Lei, Kim
– sequence: 4
  givenname: Yanwu
  surname: Li
  fullname: Li, Yanwu
BackLink https://www.ncbi.nlm.nih.gov/pubmed/22432281$$D View this record in MEDLINE/PubMed
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DocumentTitleAlternate Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management
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Issue 9
Keywords spatial variations
multivariate statistical techniques
water quality
seasonal variations
the Three Gorges
Language English
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MergedId FETCHMERGED-LOGICAL-c576t-f0a0cfe7007670d2d62c19658d438bd5f45c81b799523348320a53fc7d1b1fdf3
Notes water quality; spatial variations; seasonal variations; multivariate statistical techniques; the Three Gorges
Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13 parameters at 37 sites of the Three Gorges area,China,from 2003–2008 to investigate spatio-temporal variations and identify potential pollution sources.Using cluster analysis,the twelve months of the year were classified into three periods of lowflow (LF),normal-flow (NF),and high-flow (HF);and the 37 monitoring sites were divided into low pollution (LP),moderate pollution (MP),and high pollution (HP).Dissolved oxygen (DO),potassium permanganate index (COD Mn ),and ammonia-nitrogen (NH 4 +-N) were identified as significant variables affecting temporal and spatial variations by non-parametric tests.Factor analysis identified that the major pollutants in the HP region were organic matters and nutrients during NF,heavy metals during LF,and petroleum during HF.In the MP region,the identified pollutants primarily included organic matter and heavy metals year-around,while in the LP region,organic pollution was significant during both NF and HF,and nutrient and heavy metal levels were high during both LF and HF.The main sources of pollution came from domestic wastewater and agricultural activities and runoff;however,they contributed differently to each region in regards to pollution levels.For the HP region,inputs from wastewater treatment plants were significant;but for MP and LP regions,water pollution was more likely from the combined effects of agriculture,domestic wastewater,and chemical industry.These results provide fundamental information for developing better water pollution control strategies for the Three Gorges area.
Jian Zhao,Guo Fu,Kun Lei,Yanwu Li Chinese Research Academy of Environmental Sciences,Beijing 100012,China.
11-2629/X
http://dx.doi.org/10.1016/S1001-0742(10)60599-2
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMID 22432281
PQID 1671470139
PQPubID 23500
PageCount 12
ParticipantIDs wanfang_journals_jes_e201109008
proquest_miscellaneous_934255596
proquest_miscellaneous_899164220
proquest_miscellaneous_1671470139
crossref_primary_10_1016_S1001_0742_10_60599_2
pubmed_primary_22432281
fao_agris_US201500218191
elsevier_sciencedirect_doi_10_1016_S1001_0742_10_60599_2
chongqing_primary_39209899
PublicationCentury 2000
PublicationDate 2011-09-00
PublicationDateYYYYMMDD 2011-09-01
PublicationDate_xml – month: 09
  year: 2011
  text: 2011-09-00
PublicationDecade 2010
PublicationPlace Netherlands
PublicationPlace_xml – name: Netherlands
PublicationTitle Journal of environmental sciences (China)
PublicationTitleAlternate Journal of Environmental Sciences
PublicationTitle_FL Journal of Environmental Sciences
PublicationYear 2011
Publisher Elsevier B.V
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Publisher_xml – name: Elsevier B.V
– name: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Snippet Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including 13...
Multivariate statistical techniques, cluster analysis, non-parametric tests, and factor analysis were applied to analyze a water quality dataset including 13...
X824; Multivariate statistical techniques,cluster analysis,non-parametric tests,and factor analysis were applied to analyze a water quality dataset including...
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SubjectTerms ammonium nitrogen
chemical industry
China
Cluster Analysis
data collection
dissolved oxygen
Factor analysis
Freshwater
Heavy metals
monitoring
Multivariate Analysis
multivariate statistical techniques
Nutrients
organic matter
petroleum
pollutants
Pollution abatement
pollution control
potassium permanganate
Rivers - chemistry
seasonal variations
spatial variations
Statistics, Nonparametric
surface water
temporal variation
the Three Gorges
Time Factors
Waste water
wastewater
wastewater treatment
Water
water management
Water pollution
Water Quality
三峡库区
中国
地表
多因素分析
水环境质量
水资源管理
重金属含量
非参数检验
Title Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management
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https://dx.doi.org/10.1016/S1001-0742(10)60599-2
https://www.ncbi.nlm.nih.gov/pubmed/22432281
https://search.proquest.com/docview/1671470139
https://search.proquest.com/docview/899164220
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Volume 23
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