Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin'anjiang River in Huangshan, China.

Xin’anjiang River inverse distance weighted (IDW) principal component analysis (PCA) surface water quality

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
24 04 2020
Historique:
received: 12 12 2019
revised: 02 04 2020
accepted: 03 04 2020
entrez: 30 4 2020
pubmed: 30 4 2020
medline: 2 10 2020
Statut: epublish

Résumé

This study was aimed at assessing the spatial and temporal distribution of surface water quality variables of the Xin'anjiang River (Huangshan). For this purpose, 960 water samples were collected monthly along the Xin'anjiang River from 2008 to 2017. Twenty-four water quality indicators, according to the environmental quality standards for surface water (GB 3838-2002), were detected to evaluate the water quality of the Xin'anjiang River over the past 10 years. Principal component analysis (PCA) was used to comprehensively evaluate the water quality across eight monitoring stations and analyze the sources of water pollution. The results showed that all samples could be analyzed by three main components, which accounted for 87.24% of the total variance. PCA technology identified important water quality parameters and revealed that nutrient pollution and organic pollution are major latent factors which influence the water quality of Xin'anjiang River. It also showed that agricultural activities, erosion, domestic, and industrial discharges are fundamental causes of water pollution in the study area. It is of great significance for water quality safety management and pollution control of the Xin'anjiang River. Meanwhile, the inverse distance weighted (IDW) method was used to interpolate the PCA comprehensive score. Based on this, the temporal and spatial structure and changing characteristics of water quality in the Xin'anjiang River were analyzed. We found that the overall water quality of Xin'anjiang River (Huangshan) was stable from 2008 to 2017, but the pollution of the Pukou sampling point was of great concern. The results of IDW helped us to identify key areas requiring control in the Xin'anjiang River, which pointed the way for further delicacy management of the river. This study proved that the combination of PCA and IDW interpolation is an effective tool for determining surface water quality. It was of great significance for the control of water pollution in Xin'anjiang River and the reduction of eutrophication pressure in Thousand Island Lake.

Identifiants

pubmed: 32344554
pii: ijerph17082942
doi: 10.3390/ijerph17082942
pmc: PMC7215294
pii:
doi:

Substances chimiques

Water Pollutants, Chemical 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

Water Sci Technol. 2013;67(12):2832-7
pubmed: 23787325
Psychother Res. 2016;26(3):318-31
pubmed: 25047604
Bull Environ Contam Toxicol. 2015 Feb;94(2):214-9
pubmed: 25476736
Water Res. 2012 Jul;46(11):3544-52
pubmed: 22521951
Water Res. 2003 Oct;37(17):4119-24
pubmed: 12946893
Nature. 2014 Jul 31;511(7511):527-8
pubmed: 25079539
Environ Pollut. 2016 Nov;218:358-365
pubmed: 27443951
Water Res. 2005 Jul;39(12):2621-35
pubmed: 15993926
Chemosphere. 2003 Jun;51(8):723-33
pubmed: 12668031
Sci Total Environ. 2020 Mar 15;708:134559
pubmed: 31761372
Environ Sci Technol. 2011 Jan 1;45(1):161-7
pubmed: 21133359
Sci Total Environ. 2017 Apr 1;583:421-431
pubmed: 28126280
Sci Total Environ. 2019 Feb 10;650(Pt 2):2004-2012
pubmed: 30290343
Int J Environ Res Public Health. 2018 Jul 11;15(7):
pubmed: 29997326
Environ Sci Technol. 2015 Nov 3;49(21):12860-8
pubmed: 26440220
Sci Total Environ. 2012 Jul 15;430:132-43
pubmed: 22634560
Environ Sci Pollut Res Int. 2019 Dec;26(34):34993-35009
pubmed: 31659709
Waste Manag. 2003;23(7):599-607
pubmed: 12957155
Environ Sci Pollut Res Int. 2017 Jan;24(1):987-996
pubmed: 27766521
Environ Sci Technol. 2010 Jul 15;44(14):5641-8
pubmed: 20550184

Auteurs

Wenjie Yang (W)

College of Renewable Energy, North China Electric Power University, Beijing 102206, China.
Chinese Academy for Environmental Planning, Beijing 100012, China.

Yue Zhao (Y)

Chinese Academy for Environmental Planning, Beijing 100012, China.

Dong Wang (D)

Chinese Academy for Environmental Planning, Beijing 100012, China.

Huihui Wu (H)

Beijing City Environment Pollution Control and Resource Reuse Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China.

Aijun Lin (A)

Beijing City Environment Pollution Control and Resource Reuse Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China.

Li He (L)

College of Renewable Energy, North China Electric Power University, Beijing 102206, China.

Articles similaires

Humans Neoplasms Male Female Middle Aged
Humans Male Female Aged Middle Aged
Humans Retrospective Studies Male Critical Illness Female

Classifications MeSH