Optimal river monitoring network using optimal partition analysis: a case study of Hun River, Northeast China. Issue 11 (12th May 2019)

• Record Type: Journal Article
• Authors: Wang, Hui; Liu, Chunyue; Rong, Luge; Wang, Xiaoxu; Sun, Lina; Luo, Qing; Wu, Hao
• Is Part Of: Environmental technology. Volume 40:Issue 11(2019)
• Page Start: 1359
• Page End: 1365
• Publication Date: 2019-05-12
• Subjects: Optimal design of the river monitoring network -- Hun River -- optimal partition analysis -- attainment of water quality National Grade III -- Euclidean distance; Environmental engineering -- Periodicals; Environmental protection -- Periodicals; 628.05
• DOI: 10.1080/09593330.2017.1422549
• Languages: English
• ISSNs: 0959-3330

Abstract

ABSTRACT: River monitoring networks play an important role in water environmental management and assessment, and it is critical to develop an appropriate method to optimize the monitoring network. In this study, an effective method was proposed based on the attainment rate of National Grade III water quality, optimal partition analysis and Euclidean distance, and Hun River was taken as a method validation case. There were 7 sampling sites in the monitoring network of the Hun River, and 17 monitoring items were analyzed once a month during January 2009 to December 2010. The results showed that the main monitoring items in the surface water of Hun River were ammonia nitrogen (NH4 + –N), chemical oxygen demand, and biochemical oxygen demand. After optimization, the required number of monitoring sites was reduced from seven to three, and 57% of the cost was saved. In addition, there were no significant differences between non-optimized and optimized monitoring networks, and the optimized monitoring networks could correctly represent the original monitoring network. The duplicate setting degree of monitoring sites decreased after optimization, and the rationality of the monitoring network was improved. Therefore, the optimal method was identified as feasible, efficient, and economic.