An integrated approach for assessing surface water quality: Case of Beni Haroun dam (Northeast Algeria)

Soltani, Ahmed Amin; Bermad, Abdelmalek; Boutaghane, Hamouda; Oukil, Amar; Abdalla, Osman; Hasbaia, Mahmoud; Oulebsir, Rafik; Zeroual, Sara; Lefkir, Abdelouahab

doi:10.1007/s10661-020-08572-z

Cited by 20 publications

(5 citation statements)

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“…Moreover, most of the approaches to understanding surface-water-polluting sources in Vietnam are mainly based on the results of field surveys and interviews. Meanwhile, there have been several studies of the methods applied to assess and identify sources of water quality fluctuations [7][8][9][10][11][12]. Typically, land use and soil type can be particularly useful in explaining the relationship between water quality and environmental characteristics in the study area.…”

Section: Introductionmentioning

confidence: 99%

Using Remote Sensing and Multivariate Statistics in Analyzing the Relationship between Land Use Pattern and Water Quality in Tien Giang Province, Vietnam

Giao

Công

Nhien

2021

Water

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This study was carried out to understand how land use patterns influence surface water quality in Tien Giang Province using remote sensing and statistical approaches. Surface water quality data were collected at 34 locations with the frequency of four times (March, June, September, and November) in 2019. Water quality parameters were used in the analysis, including pH, temperature, electrical conductivity (EC), total suspended solids (TSS), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), ammonium (N-NH4+), nitrite (N-NO2−), nitrate (N-NO3−), sulfate (SO42−), orthophosphate (P-PO43−), chloride (Cl−), total nitrogen (TN), total phosphorus (TP), and coliform. The relationship between land use patterns and water quality was analyzed using geographic information techniques (GIS), remote sensing (RS), statistical approaches (cluster analysis (CA), principal component analysis (PCA), and Krustal–Wallis), and weighted entropy. The results showed water quality was impaired by total suspended solids, nutrients (N-NH4+, N-NO2−, P-PO43−), organic matters (BOD, COD), and ions (Cl− and SO42−). Kruskal–Wallis analysis results showed that all water quality parameters in the water bodies in Tien Giang Province were seasonally fluctuated, except for BOD and TN. The highest levels of water pollutants were found mostly in the dry season (March and June). The majority of the land in the study area was used for rice cultivation (40.64%) and residential (27.51%). Water quality in the study area was classified into nine groups corresponding to five combined land use patterns comprising residential–aquaculture, residential–rice cultivation, residential–perennials, residential–rice–perennial, and residential–rice–perennial crops–aquacultural. The concentrations of the water pollutants (TSS, DO, BOD, COD, N-NH4+, N-NO2−, Cl−, and coliform) in the locations with aquaculture land use patterns (Clusters 1 and 2) were significantly larger than those of the remaining land use patterns. PCA analysis presented that most of the current water quality monitoring parameters had a great impact on water quality in the water bodies. The entropy weight showed that TSS, N-NO2−, and coliform are the most important water quality parameters due to residential–aquaculture and residential–rice cultivation; EC, DO, N-NH4+, N-NO2−, Cl−, and coliform were the significant variables for the land use type of residential–perennial crops; N-NO2−, P-PO43−, and coliform for the land use pattern of residential–rice cultivation–perennial crops) and N-NH4+, N-NO2−, Cl−, and coliform for the land use pattern of residential–rice cultivation–perennial crops–aquaculture. The current findings showed that that surface water quality has been influenced by the complex land use patterns in which residential and rice cultivation may have major roles in causing water impairment. The results of the water quality assessment and the variation in water properties of the land use patterns found in this study provide scientific evidence for future water quality management.

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Section: Introductionmentioning

confidence: 99%

Using Remote Sensing and Multivariate Statistics in Analyzing the Relationship between Land Use Pattern and Water Quality in Tien Giang Province, Vietnam

Giao

Công

Nhien

2021

Water

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“…In order to further analyze the composition and spatial distribution of groundwater in the study area, the Kriging method of spatial interpolation in the Arcgis 10.6 software was used to analyze TDS, TH and NO 3 -N. The application of the spatial interpolations approach to the class of major ions indicates that these ions have the same spatial characteristics [ 61 ]. However, the distribution area of each index in the dry season can basically cover the distribution area of each index in the wet season.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing

Zhang

Jia

et al. 2021

IJERPH

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Groundwater is an important source of water in Beijing. Hydrochemical composition and water quality are the key factors to determine the availability of groundwater. Therefore, an improved integrated weight water quality index approach (IWQI) combining the entropy weight method and the stochastic simulation method is proposed. Through systematic investigation of groundwater chemical composition in different periods, using a hydrogeochemical diagram, multivariate statistics and spatial interpolation analysis, the spatial evolution characteristics and genetic mechanism of groundwater chemistry are discussed. The results show that the groundwater in the study area is weakly alkaline and low mineralized water. The south part of the study area showed higher concentrations of total dissolved solids, total hardness and NO3−-N in the dry season and wet season, and the main hydrochemical types are HCO3−-Ca and HCO3−-Ca-Mg. The natural source mechanism of the groundwater chemical components in Chaoyang District includes rock weathering, dissolution and cation exchange, while the human-made sources are mainly residents and industrial activities. Improved IWQI evaluation results indicate that water quality decreases from southwest to northeast along groundwater flow path. The water quality index (WQI) method cannot reflect the trend of groundwater. Sensitivity analysis indicated that the improved IWQI method could describe the overall water quality reliably, accurately and stably.

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“…The region has a semi-arid climate with two distinct seasons: a cold and wet winter with an average temperature of 7.3°C in January and a hot and dry summer lasting four months, with the warmest month being August with a temperature of 24.2°C. Rainfall in the area is irregular, ranging from 4mm in July to 89mm in January (Soltani et al, 2020).…”

Section: The Study Areamentioning

confidence: 99%

Anthropogenic Influence and Climate Change on Water and Nutrient Dynamics in the Kebir-Rhumel Basin, (Northeastern Algeria)

2024

Global NEST Journal

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<p>This study investigates the Anthropogenic Influence and Climate Change: Water and Nutrient Dynamics in the Kebir-Rhumel Basin in Northeastern Algeria. Utilizing an advanced methodology and integrating 10 physicochemical variables, this research provides a novel insight into the environmental factors shaping the basin's ecosystem. By employing a PCA analysis, it highlights two distinct factors accounting for 80.90% of the total variance and identifies a strong positive correlation between various variables, particularly NH4+ and PO43-. Two contrasting river areas were noted: Oued Radjas and Oued Rhumel rivers, displaying evidence of anthropogenic activities, and Oued Kebir and Oued El-Kotone rivers, indicative of pristine conditions. Seasonal fluctuations were noted in atmospheric temperature, precipitation, humidity, and wind speed, as well as in physical parameters and nutrient concentrations of surface water, revealing new details about the potential impact of human activities on water quality and ecosystem health. The findings here are not only significant in understanding the dynamics of water quality but also crucial in devising effective management strategies. High EC and TDS values in the Oued Radjas River point to anthropogenic pollution, and high nitrogen nutrient concentrations in the Oued El-Kotonne River hint at potential eutrophication. The study underscores the importance of understanding the interplay between human activities and natural processes in managing water resources and ecosystems. This research contributes to the existing body of knowledge by shedding light on specific aspects of water quality in the region, paving the way for more focused investigations and policy interventions for sustainable development.</p>

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An integrated approach for assessing surface water quality: Case of Beni Haroun dam (Northeast Algeria)

Cited by 20 publications

References 50 publications

Using Remote Sensing and Multivariate Statistics in Analyzing the Relationship between Land Use Pattern and Water Quality in Tien Giang Province, Vietnam

Using Remote Sensing and Multivariate Statistics in Analyzing the Relationship between Land Use Pattern and Water Quality in Tien Giang Province, Vietnam

Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing

Anthropogenic Influence and Climate Change on Water and Nutrient Dynamics in the Kebir-Rhumel Basin, (Northeastern Algeria)

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