Department of Water, Wastewater and Environmental Engineering, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran.
10.22059/jwim.2025.382749.1183
Abstract
This research investigates the water quality of the Haraz River, focusing on the impact of human activities and agriculture on water quality parameters. The main objective of this study is to assess the changes in water quality parameters and identify the factors influencing these changes using the NSFWQI index and toxicity, along with statistical analyses. This assessment is conducted to provide strategies for better management of water resources and reduction of pollution. In this study, sampling was conducted from 12 stations along the Haraz River at four different time periods. Parameters such as BOD, nitrate, phosphate, turbidity, and fecal coliform were measured. Data analysis was performed using ArcGIS software and the NSFWQI index. Additionally, agricultural pesticides were tested during two sampling periods. The results indicated that human and agricultural activities lead to increased BOD and fecal coliform. The most significant changes were observed at the downstream stations, where population density and the influx of industrial and agricultural effluents are higher. The concentration of agricultural pesticides was within the range of global standards. The high correlation of nitrate and phosphate parameters with BOD and turbidity indicates a direct impact of these parameters on each other. Human activities have a significant impact on the water quality of the Haraz River, and proper management of resources and reduction of pollution are essential for maintaining water quality. This study shows that the best water quality was observed in autumn, while the lowest quality was noted in spring. According to studies conducted in other protected rivers of Mazandaran province, it is generally clear that water quality decreases from upstream to downstream, and the reason for this is mainly human activity, including urban and industrial wastewater, and agriculture and animal husbandry in downstream areas.
Aazami, J., Maghsodlo, H., Mira, S. S., & Valikhani, H. (2020). Health evaluation of riverine ecosystems using aquatic macroinvertebrates: a case study of the Mohammad-Abad River, Iran. International Journal of Environmental Science and Technology, 17, 2637-2644.
Abbasnia, A., Yousefi, N., Mahvi, A. H., Nabizadeh, R., Radfard, M., Yousefi, M., & Alimohammadi, M. (2019). Evaluation of groundwater quality using water quality index and its suitability for assessing water for drinking and irrigation purposes: Case study of Sistan and Baluchistan province (Iran). Human and Ecological Risk Assessment: An International Journal, 25(4), 988-1005.
Berry, J. L., Steffy, L. Y., & Shank, M. K. (2020). Development of a Water Quality Index (WQI) for the Susquehanna River Basin.
Chaturvedi, A., Bhattacharjee, S., Mondal, G. C., Kumar, V., Singh, P. K., & Singh, A. K. (2019). Exploring new correlation between hazard index and heavy metal pollution index in groundwater. Ecological Indicators, 97, 239-246.
Dadkhah Tehrani, M., Karimi Darmian, S., Moridi, A., & Khalili, R. (2023). Evaluation of water quality of Chalus River based on IRWQIsc and NSFWQI water quality index. Journal of Environmental Science Studies, 8(3), 7064-7072.
Deng, J., Deng, Y., & Cheong, K. H. (2021). Combining conflicting evidence based on Pearson correlation coefficient and weighted graph. International Journal of Intelligent Systems, 36(12), 7443-7460.
Dewata, I. (2019). Water Quality Assessment of Rivers in Padang Using Water Pollution Index and NSF-WQI Method. International Journal of GEOMATE, 17, 192-200.
Ebrahimi, A., & Mahmoudi Baram, M. (2023). Investigating the Residue of Diazinon, Chlorpyrifos, and Dichlorvos in Urban Drinking Water Supply Sources and Determining the Water Quality Index in Tiran-Karvan in 2020. Journal of Environmental Health and Sustainable Development, 8(4), 2149-2158.
Ebrahimpoor, S., Kiarostami, V., Khosravi, M., Davallo, M., & Ghaedi, A. (2019). Bees metaheuristic algorithm with the aid of artificial neural networks for optimization of acid red 27 dye adsorption onto novel polypyrrole/SrFe12O19/graphene oxide nanocomposite. Polymer Bulletin, 76(12), 6529-6553.
Ketabi, N., Dadkhah Tehrani, M., Moridi, A., & Khalili, R. (2024). Assessment of the Water Quality of Tajan River (Sari) Using NSFWQI and IRWQISC Quality Indices. Journal of Research in Environmental Health, 10(1), 96-109.
Khalili, R., Montaseri, H., & Motaghi, H. (2021). Evaluation of water quality in the Chalus River using the statistical analysis and water quality index (WQI). Water and Soil Management and Modelling. doi: 10.22098/mmws.2021.9300.1031
Khalili, R., Montaseri, H., Motaghi, H., & Jalili, M. B. (2021). Water quality assessment of the Talar River in Mazandaran Province based on a combination of water quality indicators and multivariate modeling. Water and Soil Management and Modelling, 1(4), 30-47. Retrieved from http://mmws.uma.ac.ir/article_1326.html
Khalili, R., Parvinnia, M., & Zali, A. (2020). Water Quality Assessment of Garmarood River Using the National Sanitation Foundation Water Quality Index (NSFWQI), River Pollution Index (RPI) and Weighted Arithmetic Water Quality Index (WAWQI). Environment and Water Engineering, 6(3), 274-284. doi: 10.22034/jewe.2020.238090.1381
Khalili, R., Zali, A., & Motaghi, H. (2021). Evaluating the Heavy Metals in the Water and Sediments of Haraz River, Using Pollution Load Index (PLI) and Geo accumulation Index (Igeo). Iranian Journal of Soil and Water Research. doi: 10.22059/ijswr.2021.316080.668850
Kkhalili, R., Parvinnia, M., & Zali, A. (2020). Water quality assessment of Garmarood River using the national sanitation foundation water quality index (NSFWQI), river pollution index (RPI) and weighted arithmetic water quality index (WAWQI). Environment and Water Engineering, 6(3), 274-284.
Mazlomi, M., Hatami, A., Moridi, A., & Khalili, R. (2023). Sensitivity assessment of the National Sanitation Foundation Water Quality Index (NSFWQI) and IRan Water Quality Index for Surface Water Resources (IRWQIsc) on the water quality of the Neka River.
Mukate, S., Wagh, V., Panaskar, D., Jacobs, J. A., & Sawant, A. (2019). Development of new integrated water quality index (IWQI) model to evaluate the drinking suitability of water. Ecological Indicators, 101, 348-354.
Qin, C., He, J., Yu, C., Sun, A., Li, K., Hu, H., Hu, T., Ye, Y., Yu, Y., & Wang, H. (2025). Evaluating the water quality of the rice–fish co-culture pattern based on the modified NSF water quality index model. Aquaculture, 597, 741931.
Rad, A. (2022). The effect of Magnesium Aminoclay (MgAC) nanomaterials on Chlorella sorokiniana pa. 91 native microalgae growth in Sari culture medium. Modares Civil Engineering Journal, 22(4), 143-156.
Sharma, R., Kumar, R., Sharma, D. K., Sarkar, M., Mishra, B. K., Puri, V., Priyadarshini, I., Thong, P. H., Ngo, P. T. T., & Nhu, V.-H. (2022). Water pollution examination through quality analysis of different rivers: a case study in India. Environment, Development and Sustainability, 24(6), 7471-7492.
Simonyan, G. (2021). Impact of Municipal Wastewater of the Dilijan City on the Hydrochemical Indicators of Water of the Agstev River. Current Research in Wastewater Management, 1(1), 30-32.
Susilowati, S., Sutrisno, J., Masykuri, M., & Maridi, M. (2018). Dynamics and factors that affects DO-BOD concentrations of Madiun River. AIP Conference Proceedings, 2049(1).
Šverko, Z., Vrankić, M., Vlahinić, S., & Rogelj, P. (2022). Complex Pearson correlation coefficient for EEG connectivity analysis. Sensors, 22(4), 1477.
Wu, H., Yang, W., Yao, R., Zhao, Y., Zhao, Y., Zhang, Y., Yuan, Q., & Lin, A. (2020). Evaluating surface water quality using water quality index in Beiyun River, China. Environmental Science and Pollution Research, 27(28), 35449-35458.
Wu, Z., Wang, X., Chen, Y., Cai, Y., & Deng, J. (2018). Assessing river water quality using water quality index in Lake Taihu Basin, China. Science of the Total Environment, 612, 914-922.
Yotova, G., Varbanov, M., Tcherkezova, E., & Tsakovski, S. (2021). Water quality assessment of a river catchment by the composite water quality index and self-organizing maps. Ecological Indicators, 120, 106872.
Yousefi, H., Mohammadi, A., & Noorollahi, Y. (2019). Analyzing the Water Quality of Babaheydar Dam in Farsan using NSFWQI Analytical Method. Journal of Watershed Management Research, 9(18), 1-11.
Zhang, L., Zhang, Y., Zhu, M., Chen, L., & Wu, B. (2023). A critical review on quantitative evaluation of aqueous toxicity in water quality assessment. Chemosphere, 140159.
Zhang, X., Chen, L., & Shen, Z. (2021). Impacts of rapid urbanization on characteristics, sources and variation of fecal coliform at watershed scale. Journal of Environmental Management, 286, 112195.
Taleghani, N. , Moridi, A. and Khalili, R. (2025). Temporal and spatial zoning of qualitative and toxic pollution along the protected Mazandaran River. Water and Irrigation Management, 15(1), 109-130. doi: 10.22059/jwim.2025.382749.1183
MLA
Taleghani, N. , , Moridi, A. , and Khalili, R. . "Temporal and spatial zoning of qualitative and toxic pollution along the protected Mazandaran River", Water and Irrigation Management, 15, 1, 2025, 109-130. doi: 10.22059/jwim.2025.382749.1183
HARVARD
Taleghani, N., Moridi, A., Khalili, R. (2025). 'Temporal and spatial zoning of qualitative and toxic pollution along the protected Mazandaran River', Water and Irrigation Management, 15(1), pp. 109-130. doi: 10.22059/jwim.2025.382749.1183
CHICAGO
N. Taleghani , A. Moridi and R. Khalili, "Temporal and spatial zoning of qualitative and toxic pollution along the protected Mazandaran River," Water and Irrigation Management, 15 1 (2025): 109-130, doi: 10.22059/jwim.2025.382749.1183
VANCOUVER
Taleghani, N., Moridi, A., Khalili, R. Temporal and spatial zoning of qualitative and toxic pollution along the protected Mazandaran River. Water and Irrigation Management, 2025; 15(1): 109-130. doi: 10.22059/jwim.2025.382749.1183