Spatial assessment of pollutant loads for surface water quality management: a case study in Lai Chau city, Vietnam

Ngo, T.A., See, L. ORCID:, Leisz, S.J., Tran, N.B., Dinh, T.H.V., & Nguyen, T.H. (2024). Spatial assessment of pollutant loads for surface water quality management: a case study in Lai Chau city, Vietnam. IOP Conference Series: Earth and Environmental Science 1345 (1) e012012. 10.1088/1755-1315/1345/1/012012.

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The aim of this study is to present a method for estimating the pollutant load from different sources in an effort to provide improved information regarding water pollution and help control the surface water pollution, using Lai Chau city as a case study. The pollutant load was calculated in accordance with the Vietnam Environment Administration Decree No.154/2019 on the guidance for calculating the total pollutant load of river water. The pollutant sources include point sources (domestic wastewater, animal husbandry, industrial complexes and economic services) and surface sources (run-off from agricultural land uses) that generate wastes that potentially contaminate water bodies. The source locations were mapped and spatially joined with the drainage-basin map delineated from a Digital Elevation Model (DEM) to calculate the loads for the sub-basin units. Multivariate analysis then showed that the farming and domestic sources had the strongest positive loading factors for the sub-basins located in the city center and its fringe areas. Of these waste from animal husbandry account for up to 75.1% of total pollutant load. The main conclusion from the study's results is that the management approach should be changed from the total controlling mode, which is currently applied in the city, to a source specific approach based on the pollutant discharge loads and the allocated capacities.

Item Type: Article
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES)
Depositing User: Luke Kirwan
Date Deposited: 16 May 2024 07:25
Last Modified: 16 May 2024 07:25

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