Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China

Jiang, Jiping1; Khan, Afed U.2; Shi, Bin3; Tang, Sijie1; Khan, Jehanzeb4

2019-04

10.1007/s13201-019-0938-4

Applied Water Science   影响因子和分区

2190-5487

2190-5495

Identification of nonpoint source (NPS) pollution is essential for effective water management. In this study we used a combined approach of hierarchal cluster analysis (HCA) and positive matrix factorization (PMF) to identify NPS pollution for Huaihe River basin in China. NH3-N, COD, DO and pH were regularly monitored weekly over 2years (2011-2012) from 27 monitoring stations subjected to high anthropogenic and natural changes. As identified by multiple correspondence analyses, the monitoring stations #3, #9 and #21 are located away from the rest of sites. HCA classified all the stations into 4 groups. PMF identified four factors on each group and each season. They were associated with the major causes of Huaihe River water quality deterioration resulted by discharges inputs from urban, agricultural and industrial land uses. Seasonal NPS pollution variation was found, and it is possibly linked with natural processes, for instance hydrological regime. This research work demonstrates the usefulness of PMF model for the identification of NPS pollution in surface waters. Furthermore, our study also shows that urban, agricultural and industrial land uses were the main factors impairing surface water quality, and limiting NPS pollution would be critical for enhancing surface water quality in the study area.

Cluster analysis Nonpoint source pollution Positive matrix factorization Water quality Huaihe River

ESCI ; EI

英语

第一 ; 通讯

National Natural Science Foundation of China[51509061] ; Fundamental Research Funds for the Central Universities[HIT.NSRIF.2017060]

Water Resources

Water Resources

WOS:000462839700001

SPRINGER HEIDELBERG

20191406724148

Agriculture ; Ammonia ; Cluster analysis ; Deterioration ; Factorization ; Land use ; Matrix algebra ; Quality control ; Rivers ; Water management ; Water quality

Urban and Regional Planning and Development:403 ; Water Analysis:445.2 ; Water Pollution:453 ; Computer Software, Data Handling and Applications:723 ; Inorganic Compounds:804.2 ; Agricultural Equipment and Methods; Vegetation and Pest Control:821 ; Quality Assurance and Control:913.3 ; Mathematics:921 ; Algebra:921.1 ; Materials Science:951

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, State Environm Protect Key Lab Integrated Surface, Shenzhen 518055, Peoples R China;
2.Univ Engn & Technol, Dept Civil Engn, Bannu Campus, Peshawar 25000, Bannu, Pakistan;
3.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China;
4.Zhejiang Univ, Dept Hort, Hangzhou 310058, Zhejiang, Peoples R China

Jiang, Jiping,Khan, Afed U.,Shi, Bin,et al. Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China[J]. Applied Water Science,2019,9(3).

Jiang, Jiping,Khan, Afed U.,Shi, Bin,Tang, Sijie,&Khan, Jehanzeb.(2019).Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China.Applied Water Science,9(3).

Jiang, Jiping,et al."Application of positive matrix factorization to identify potential sources of water quality deterioration of Huaihe River, China".Applied Water Science 9.3(2019).