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

• Published in: Applied water science Vol. 9; no. 3; pp. 1 - 14
• Main Authors: Jiang, Jiping, Khan, Afed U., Shi, Bin, Tang, Sijie, Khan, Jehanzeb
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2019; Springer Nature B.V; SpringerOpen
• Subjects: Agricultural management; Ammonia; Anthropogenic factors; Aquatic Pollution; Cluster analysis; Comparative Law; Deterioration; Earth and Environmental Science; Earth Sciences; Factorization; Huaihe River; Hydrogeology; Hydrologic regime; Hydrology; Identification; Industrial and Production Engineering; Industrial pollution; International & Foreign Law; Land pollution; Land use; Monitoring; Monitoring systems; Nanotechnology; Nonpoint source pollution; Original Article; Pollution sources; Positive matrix factorization; Private International Law; River basins; River water; Rivers; Stations; Surface water; Urban agriculture; Waste Water Technology; Water Industry/Water Technologies; Water Management; Water pollution; Water Pollution Control; Water quality; China; Huaihe River; Cluster analysis; Nonpoint source pollution; Water quality; Positive matrix factorization; Huaihe River

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. NH 3 -N, COD, DO and pH wer...