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ارزیابی اثرات زیستمحیطی معدن آگاراک بر کیفیت آب رودخانه ارس: اعتبار سنجی نتایج فیزیکوشیمیایی با استفاده از شاخصهای بیولوژیکی | ||
تحقیقات آب و خاک ایران | ||
دوره 56، شماره 2، اردیبهشت 1404، صفحه 309-330 اصل مقاله (2.11 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2024.380551.669775 | ||
نویسندگان | ||
نادیا حسنلو1؛ پردیس علیپور1؛ علی مریدی* 2؛ رضا خلیلی3 | ||
1دانشجوی کارشناسی ارشد، گروه مهندسی عمران، دانشکده عمران و محیطزیست، دانشگاه شهید بهشتی، تهران، ایران | ||
2استادیار دانشکده مهندسی عمران، آب و محیط زیست دانشگاه شهید بهشتی | ||
3دانشجوی دکتری، دانشکده مهندسی عمران، آب و مهندسی محیطزیست، دانشگاه شهید بهشتی، تهران، ایران | ||
چکیده | ||
آگاهی از کیفیت آب رودخانهها برای برنامهریزی و حفاظت منابع آبی ضروری است. کفزیان، بهویژه درشت بیمهرگان کفزی، بهطور دقیق برای شرایط کیفی آب را نشان میدهند. در این پژوهش برای محاسبه شاخصهای کیفی IRWQISC و NSFWQI و زیستی BMWP، ASPT، FBI و شانون وینر، 6 ایستگاه در مسیر رودخانه ارس انتخاب شد (3 ایستگاه قبل و 3 ایستگاه بعد از شهر آگاراک). نمونهبرداریها در پاییز 1401 انجام شد و پارامترهای مختلف مانند کدورت، دمای آب، اکسیژن محلول، نیترات، فسفات کل، کلیفرم مدفوعی، BOD5، EC و PH اندازهگیری شد. درمجموع 21 گروه از کفزیان شناسایی شد و ایستگاه 2 با 17 گروه زیستی بیشترین تنوع و ایستگاه 4 با 7 گروه کمترین تنوع را داشت. نتایج NSFWQI نشان داد که آب ایستگاه 1 دارای کیفیت خوب و بقیه ایستگاهها دارای کیفیت متوسط است. بر اساس IRWQISC، ایستگاههای 1 و 3 دارای کیفیت متوسط و بقیه ایستگاهها کیفیت نسبتاً بد دارند. شاخص BMWP کیفیت ایستگاههای اول تا سوم را متوسط و ایستگاههای چهارم تا ششم را بد ارزیابی کرد. شاخص ASPT نشان داد که ایستگاههای اول، دوم، پنجم و ششم دارای آلودگی متوسط احتمالی و ایستگاههای سوم و چهارم دارای آلودگی شدید احتمالی هستند. شاخص HFBI کیفیت آب را در ایستگاههای اول، سوم، چهارم و پنجم خوب، ایستگاه دوم ضعیف و ایستگاه ششم متوسط ارزیابی کرد. شاخص شانون - وینر نیز کاهش کیفیت آب از ایستگاه اول به سوم و افزایش آن از ایستگاه سوم به بعد را نشان داد. تحلیل ضرایب همبستگی نشاندهنده همبستگی مثبت بین کدورت، BOD، نیترات و فسفات بود. این نتایج نشاندهنده آلودگی ایستگاههای بعد از آگاراک و کاهش کیفیت آب در این ناحیه به دلیل وجود یک کانون آلاینده محیطی در آگاراک است که باعث تغییر جامعه زیستمندان کفزی و شرایط اکولوژیکی منطقه شده است. | ||
کلیدواژهها | ||
رودخانه ارس؛ معدن آگاراک؛ شاخص زیستی؛ IRWQIsc؛ NSFWQI | ||
عنوان مقاله [English] | ||
Environmental Impact Assessment of the Agarak Mine on the Water Quality of the Aras River: Validation of Physicochemical Results Using Biological Indices | ||
نویسندگان [English] | ||
Nadia Hassanloo1؛ Pardis Alipour1؛ Ali Moridi2؛ Reza Khalili3 | ||
1Master Student, Department of Civil Engineering, Faculty of Civil and Environmental Engineering, Shahid Beheshti University, Tehran, Iran. | ||
2Civil, Water and Environmental Engineering Faculty, Shahid Beheshti University | ||
3Ph.D. Student, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran | ||
چکیده [English] | ||
Understanding river water quality is essential for the planning and protection of water resources. Benthic organisms, especially macroinvertebrates, serve as accurate indicators of water quality conditions. In this study, six stations along the Aras River—three upstream and three downstream of the city of Agarak—were selected to assess water quality using the IRWQISC and NSFWQI indices, as well as biological indices including BMWP, ASPT, FBI, and Shannon-Wiener. Sampling was conducted in the autumn of 2022, and various parameters such as turbidity, water temperature, dissolved oxygen, nitrate, total phosphate, fecal coliform, BOD₅, EC, and pH were measured. A total of 21 macroinvertebrate taxa were identified, with Station 2 showing the highest diversity (17 taxa) and Station 4 the lowest (7 taxa). According to the NSFWQI, water quality at Station 1 was rated as good, while the remaining stations showed moderate quality. The IRWQISC index classified Stations 1 and 3 as having moderate quality and the others as relatively poor. The BMWP index rated the first three stations as moderate and the last three as poor. The ASPT index indicated probable moderate pollution at Stations 1, 2, 5, and 6, and probable severe pollution at Stations 3 and 4. The HFBI rated water quality as good at Stations 1, 3, 4, and 5, poor at Station 2, and fair at Station 6. The Shannon-Wiener index revealed a decline in water quality from Station 1 to 3, followed by an improvement downstream. Correlation analysis showed positive relationships between turbidity, BOD, nitrate, and phosphate. These results indicate pollution downstream of Agarak and a decrease in water quality likely caused by a local environmental pollution source, which has altered the macroinvertebrate community and ecological conditions of the area. | ||
کلیدواژهها [English] | ||
Aras River, Agarak Mine, Biological Index, IRWQIsc, NSFWQI | ||
مراجع | ||
Armitage, P. D., Moss, D., Wright, J. F., & Furse, M. T. (1983). The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites. Water Research, 17(3), 333–347. Bhadrecha, M. H., Khatri, N., & Tyagi, S. (2016). Rapid integrated water quality evaluation of Mahisagar river using benthic macroinvertebrates. Environmental monitoring and assessment, 188(4), 254. Cristable, R. M., Nurdin, E., & Wardhana, W. (2020, March). Water quality analysis of Saluran Tarum Barat, West Java, based on National Sanitation Foundation-Water Quality Index (NSF-WQI). In IOP Conference Series: Earth and Environmental Science (Vol. 481, No. 1, p. 012068). IOP Publishing. Czerniawska-Kusza, I. (2005). Comparing modified biological monitoring working party score system and several biological indices based on macroinvertebrates for water-quality assessment. Limnologica, 35(3), 169- 176. 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. (In Persian). Delbari, F., Rezaei Tavabe, K., Mirvaghefi, A., Lahijanzadeh, A., Bagherzadeh Karimi, M., & Salamroodi, E. (2022).Evaluation of water quality of Tajan River using IRWQIsc index. Aquaculture Sciences, 10(2), 83-98. (In Persian). Darvishi, P., javanshir, A., Eagderi, S., nasri, M. (2023) Pollution monitoring of Khorram-Rud River - Lorestan Province using macroinvertebrates as biological indicators. J. Aqua. Eco 13 (1) :78- 93. (In Persian). Ebrahimi, I., Fathi, P., Ghodrati, F., Naderi Jelodar, M., & Pirali, A. R. (2018). Assessment of Tajan River water quality with the use of biological and quality indicators. Iranian Scientific Fisheries Journal, 26(5), 139 151. (In Persian). Ghorbanzadeh Zafarani, S. G., Hossaini Tayefeh, F., & Izadian, M. (2022). Quality Classification of Karaj River Using Macrobenthic Biotic Indices. Environmental Researches, 13(25), 19-32. (In Persian). Giao, N. T., Dien, N. T. C., Nguyen, H. T., Nhu, T. N., Mi, L. T. D., & Nhien, H. T. H. (2024). Evaluating relationship between surface water quality and zooplankton diversity in coastal areas of Tien Giang Province,Vietnam. Journal of Applied Sciences and Environmental Management, 28(3), 841–851. Gupta, N., Pandey, P., & Hussain, J. (2017). Effect of physicochemical and biological parameters on the quality of river water of Narmada, Madhya Pradesh, India. Water Science, 31(1), 11–23. Hara, J., Mamun, M., & An, K. G. (2019). Ecological river health assessments using chemical parameter model and the index of biological integrity model. Water, 11(8), 1729. Hawkes, H. A. (1997). Origin and development of the biological monitoring working party score system. Water Research, 32(3), 964–968. Hilsenhoff, W. L. (1988). Rapid field assessment of organic pollution with a family-level biotic index. Journal of the North American Benthological Society, 7(1), 65–68. Houshmand, S., & Agdarnajad, A. (2021). Evaluation of Karun River water quality based on NSFWQI and IRWQIsc indices and determination of effective parameter weights using cluster analysis and hierarchical analysis. Eco-Wetland Biology, 13(3), 47–60. (In Persian). 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, 1(3), 38- 52. (In Persian). Khodamoradi Vatan, N., Mazaheri, M., Mohammad vali samani, J., & Razavi Toosi, S. L. (2023). Comparative evaluation and comparison of quality monitoring network of Iranʼs rivers with selected countries. Iranian Journal of Soil and Water Research, 54(5), 737-751. (In Persian). Larijani, S., Kavian, A., & Ziaei, A. N. (2023). Water Quality of HARAZ River by Using the Sanitation, Pollution, weight and Social Accounting Water Quality index (Case study: Panjab to upstream of Haraz dam). Irrigation and Water Engineering, 13(13), 369-387. (In Persian). Mahmoudifard, A., Imanpoor Namin, J., Sharifinia, M., Allaf Noverian, H., Gholami Dashtaki, K., (2015). Use of Benthic invertebrates population structure and distribution pattern for biological monitoring and water quality assessment in Sharhrud River (Qazvin province). Journal of Utilization and Cultivation of Aquatics, 3(4), 91-108. (In Persian). Malvandi, H., Moghanizade, R., & Abdoli, A. (2018). Assessment of water quality in the Dehbar River using biological indicators. Journal of Animal Environment, 10(1), 381–390. (In Persian). Mazlomi, M., Hatami, A. A., Moridi, A. 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. Journal of Water and Irrigation Management, 13(3), 581–592. (In Persian). Nasiyev, B., Vassilina, T., Zhylkybay, A., Shibaikin, V., & Salykova, A. (2021). Physicochemical and biological indicators of soils in an organic farming system. The Scientific World Journal, 2021(1). 9970957. Nezhadafzali, K., & Bayatani, F. (2024). Water quality areas of the Karun River based on NSFWQI quality index and using geographic information system. Journal of Environmental Science Studies, 9(2), 8251–8264. (In Persian). Nosrati, K., Derafshi Khab, H., Gharehchahi, S., & Gharehchahi, K. (2011). Evaluation of surface water quality in the Haraz-Gharesu watershed using multivariate statistical techniques. Earth Science Research Journal, 2(1). (In Persian). Paknejad Motaki, H., Faraji Rad, A., (2010). The hydropolitic of Aras river border and its effect on the security of Ardabil province., Territory, 7(28), 79-96. (In Persian). Priyono, A., Badriyah Rushayati, S., & Bagus Sujati, A. (2021). Water quality characteristics of Ciliwung River at Bogor Botanical Garden Segment, Bogor. International Journal of Energy and Environmental Science, 6(5),122. Rocha, F. C., Andrade, E. M., & Lopes, F. B. (2015). Water quality index calculated from biological, physical, and chemical attributes. Environmental Monitoring and Assessment, 187(4), 1–15. Salem, T. A. (2021). Changes in the physicochemical and biological characteristics in the lentic and lotic waters of the Nile River. The Egyptian Journal of Aquatic Research, 47(1), 21–27. Shyu, G. S., Cheng, B. Y., Chiang, C. T., Yao, P. H., & Chang, T. K. (2011). Applying factor analysis combined with kriging and information entropy theory for mapping and evaluating the stability of groundwater quality variation in Taiwan. International Journal of Environmental Research and Public Health, 8(4), 1084–1097. Soleimani Babadi, Fatemeh, & Sabz Alipour, Sima. (2020). The study of water quality in naseri watland by using of IRWQI and NSFWQI indexes. JOURNAL OF WETLAND ECOBIOLOGY, 12(45), 71-86. (In Persian). Uddin, M. G., Nash, S., & Olbert, A. I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. 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. Zefrehei, A. P., & Ebrahimi, E. (2016). Assessing the water quality of Zayandeh Rud River affected by drought period using BMWP, ASPT, and Hilsenhoff biological indices. Journal of Utilization and Cultivation of Aquatics, 4(4), 71-85. (In Persian). Zhou, Q., Guo, H., & Chen, G. (2021). Ecological evaluation of river water quality using a hierarchical biotic index. Water Quality Research Journal, 35(4), 12–25. | ||
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