Assessment of surface water quality via multivariate statistical techniques: A case study of the Songhua River Harbin region, China

Journal of Hydro-Environment Research

Volumn 7, Issue 1, 2013, Pages 30-40

  Wang, Yi ^a,c   Wang, Peng ^a   Bai, Yujun ^b   Tian, Zaixing ^a   Li, Jingwen ^a   Shao, Xue ^a   Mustavich, Laura F ^c   Li, Bai Lian ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Harbin Environmental Monitoring Central Station   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cluster analysis; Factor analysis; Multivariate technique; Principal component analysis; Songhua River Harbin region; Water quality management

Indexed keywords

AGRICULTURAL ACTIVITIES; MULTIVARIATE STATISTICAL APPROACHES; MULTIVARIATE STATISTICAL TECHNIQUES; MULTIVARIATE TECHNIQUES; PETROCHEMICAL POLLUTIONS; SONGHUA RIVER; WASTEWATER TREATMENT PLANTS; WATER QUALITY VARIATIONS;

AGRICULTURAL RUNOFF; AGRICULTURE; CLUSTER ANALYSIS; FACTOR ANALYSIS; HEAVY METALS; MULTIVARIANT ANALYSIS; NUTRIENTS; OXYGEN; PETROCHEMICALS; POLLUTION; PRINCIPAL COMPONENT ANALYSIS; RIVERS; SEWAGE; WATER CONSERVATION; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

RIVER POLLUTION;

ASSESSMENT METHOD; CLUSTER ANALYSIS; FACTOR ANALYSIS; HEAVY METAL; MULTIVARIATE ANALYSIS; NONPOINT SOURCE POLLUTION; ORGANIC POLLUTANT; PRINCIPAL COMPONENT ANALYSIS; SPATIAL VARIATION; SURFACE WATER; TEMPORAL VARIATION; WATER MANAGEMENT; WATER POLLUTION; WATER QUALITY;

CHINA; HARBIN; HEILONGJIANG; SONGHUA RIVER;

EID: 84875282473     PISSN: 15706443     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jher.2012.10.003     Document Type: Article

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