ArticleEnvironmental monitoring and assessment2020
An integrated approach for assessing surface water quality: Case of Beni Haroun dam (Northeast Algeria).
Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Spatio-temporal evolution of eutrophication and water quality in the Turawa dam reservoir, Poland.Scientific reports · 2023Article
- A Surrogate Water Quality Index to assess groundwater using a unified DEA-OWA framework.Environmental science and pollution research international · 2021Article
- Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing.International journal of environmental research and public health · 2021Article
- Temporal and spatial variations of surface water quality in the Nile River of Damietta Region, Egypt.Environmental monitoring and assessment · 2021Article
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9 authors.
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Abstract
In this paper, we use an integrated approach to carry out a comprehensive evaluation of water quality in the Beni Haroun (BH) dam, the largest surface water resource in Algeria. Several techniques have been employed under the same framework, including the Canadian Council Ministers Environment Water Quality Index (CCME-WQI), principal component analysis and factor analysis (PCA/FA), the K-means clustering, and the ordinary least square (OLS) analysis. A data set of 22 physicochemical parameters has been collected, over a period of 11 years, from three sampling stations: Ain Smara (ST1) and Menia (ST2), both located upstream of "Wadi Rhumel," and BH dam station (ST3), located at the dam site. The PCA/FA enables the identification of seven key factors that influence significantly BH dam water quality. The average values of CCME indices at the BH dam were 17, 40, 42, and 32 for drinking, irrigation, industry, and aquatic life purposes, respectively, which indicate poor water quality, according to the CCME categorization scheme. Besides, the K-means algorithm has been proven to be a very useful machine learning tool to detect that the major source of BH dam pollution is "Wadi Rhumel." Finally, OLS analysis, along with the Mann-Kendall test, highlighted the positive trend of BH dam's water quality.
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