NDLI: Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques

Content Provider	Springer Nature Link
Author	Xiao, Mimgsong Bao, Fangyin Wang, Song Cui, Feng
Copyright Year	2016
Abstract	In the study, multivariate statistical methods including principal component analysis (PCA)/factor analysis (FA) and cluster analysis (CA) were applied to analyze surface water quality data sets obtained from the Huaihe River segment of Bengbu (HRSB) and generated during 2 years (2011–2012) monitoring of 19 parameters at 7 sampling sites. The results of PCA for 7 sampling sites revealed that the first four components of PCA showed 94.89% of the total variance in the data sets of HRSB. The Principal components (Factors) obtained from FA indicated that the parameters for water quality variations were mainly related to heavy metals (Pb, Mn, Zn and Fe) and organic related parameters (COD, PI and DO). The results revealed that the major causes of water quality deterioration were related to inflow of industrial, domestic and agricultural effluents into the Huaihe River. Three significant sampling locations—(sites 2, 3 and 4), (sites 1 and 5) and (sites 6 and 7)—were detected on the basis of similarity of their water quality. Thus, these methods were believed to be valuable to help water resources managers understand complex nature of water quality issues and determine the priorities to improve water quality.
Starting Page	166
Ending Page	176
Page Count	11
File Format	PDF
ISSN	00978078
Journal	Water Resources
Volume Number	43
Issue Number	1
e-ISSN	1608344X
Language	English
Publisher	Pleiades Publishing
Publisher Date	2016-01-27
Publisher Place	Moscow
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	surface water quality multivariate statistical analysis parameter reduction Huaihe River segment of Bengbu Hydrogeology Hydrology/Water Resources Waste Water Technology Water Pollution Control Water Management Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Ecology-oriented groundwater resource assessment in the Tuwei River watershed, Shaanxi Province, China

Optimizing land surface parameters for simulating river runoff from 323 MOPEX-watersheds

Assessment of runoff, water and sediment quality in the Selenga River basin aided by a web-based geoservice

Formation of current groundwater resources in European Russia

Morphometry of river deltas

Distribution and use of present-day water resources in European Russia

Surface Water Quality Assessment of Lis River Using Multivariate Statistical Methods

Spatiotemporal variation of river temperature as a predictor of groundwater/surface-water interactions in an arid watershed in China

Evaluation of graphical and multivariate statistical methods for classification of water chemistry data

Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques

Similar Documents

Ecology-oriented groundwater resource assessment in the Tuwei River watershed, Shaanxi Province, China

Optimizing land surface parameters for simulating river runoff from 323 MOPEX-watersheds

Assessment of runoff, water and sediment quality in the Selenga River basin aided by a web-based geoservice

Formation of current groundwater resources in European Russia

Morphometry of river deltas

Distribution and use of present-day water resources in European Russia

Surface Water Quality Assessment of Lis River Using Multivariate Statistical Methods

Spatiotemporal variation of river temperature as a predictor of groundwater/surface-water interactions in an arid watershed in China

Evaluation of graphical and multivariate statistical methods for classification of water chemistry data

Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques