Evaluation of water quality in the Chalus River using the statistical analysis and water quality index (WQI)

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction

River pollution is one of the serious risks to the environment, water systems, and human health. Regular monitoring and protection of river water quality is therefore vital to meet environment, and human needs. The increasing trend to fresh water highlights the management of river water resources as a crucial resource. Meanwhile, population growth, irregular urbanization, industrialization, overuse of chemicals materials in agriculture (such as fertilizers and pesticides), discharge of domestic sewage, and solid waste into watercourses, sand mining in riverbeds, water transfer diversion, has seriously challenged the rivers regimes and river ecosystems.

Materials and Methods

The effect of agricultural activities on water quality in the Chalus River was examined. Sampling was conducted and analyzed in surface water at three points from October 2019 to September 2020. Three surface water samples were collected from each station and water quality variables were analyzed. The following water quality parameters have been analysed in the current study; temperature, pH, conductivity, soluble solids, suspended solids, turbidity, salinity, reduction of oxidation potential, alkali, total hardness. Also, oxygen demand parameters of dissolved oxygen, oxygen saturation, biological oxygen requirement were examined. Meanwhile, the nutrient-related water quality parameters include N-NH4, N-NO2, N-Np3, total phosphate, total phosphorus are also evaluated. The heavy metals, inorganic pollution parameters, and suspended chlorophyll content of biological parameters were the other investigated parameters. Multiple statistical methods were used for the results of analyzing the parameter including principal component analysis (PCA), Pearson correlation Coefficient (PCC), and cluster analysis (CA). In addition, water quality index (WQI) was used for determining quality of surface water, hazard quotient (HQ), and hazard index (HI) for evaluating the public health risk for heavy metals.

Results and Discussion

The water quality of Chalous River has decreased from S1 station to downstream. The water quality index based on public health risk assessment showed that station S1 water could be used as drinking water and did not pose a potential risk to the health of adults and children. However, the water quality at Station S2, and especially Station S3, cannot be used for drinking puprpos, due to improper quality and may poses potential risks to the health of adults and children. The station S1 with an average of 15.62 categorized in the excellent water quality category. Meanwhile, the station S2 and S3 with an average of 25.5, and 49.8 assigned as good water quality status, respectively. The amount of As, Cd, Co, Ni, Pb was very small at the studied stations. The hazard coefficient (HQ) and hazard index (HI) values calculated to determine the risk of heavy metal effects on health were identified as non-carcinogenic. HI values of heavy metals calculated for adults and children were Mn> Cu> Al> Zn> Fe, respectively. The manganese and copper are more involved in non-carcinogenic health risks. Also, the values of HQingestion and HQdermal values and the HI value are less than one.

Conclusion

A combination of point and non-point source pollution have been identified as the main source of water quality deterioration. The water quality parameters of Chalous River in S1 station has not exceeded the permissible level of the national standard of Iran. While, the water quality in S2, and S3 stations has decreased that poses potential risks to the human health and need a pollution prevention action plan. The factors such as municipal wastewater, septic tank and water leakage from horse stables, natural and artificial fertilizers used in agriculture, runoff and rock pebbles in the basin are the causes of pollution.

Language:
Persian
Published:
Journal of Water and Soil Management and Modeling, Volume:1 Issue: 3, 2021
Pages:
38 to 52
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