گروه علوم و مهندسی محیط زیست، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
چکیده: (124 مشاهده)
زمینه و هدف: کیفیت آب رودخانه ها به دلیل اثرات طبیعی و انسانی روبه وخامت است. اروندرود، رودخانه مشترک در مرز ایران و عراق می باشد که بسیاری از مناطق شهری و روستایی و مزارع کشاورزی مطنقه آبادان و خرمشهر را آبدهی می کند. این تحقیق در سال ۱۴۰۱ با هدف تعیین خصوصیات کیفی آب رودخانه اروند با استفاده از شاخص NSFWQI و مدل Fuzzy Association صورت گرفت.
مواد و روش ها: نمونه برداری و اندازه گیری پارامترهای فیزیکی، شیمیایی و میکروبی با استفاده از روش استاندارد (Standard Method) انجام شد و در فصل بهار و تابستان از ۱۰ ایستگاه با ۳ تکرار تعداد ۶۰ نمونه آب تهیه گردید. بررسی کیفیت آب رودخانه اروند بر اساس شاخص NSFWQI و مدل همبستگی فازی انجام شد.
یافته ها: تحلیل های همبستگی فازی بین مقادیر سنجش شده پارامترها در ایستگاه های مورد مطالعه نشان داد با افزایش مقادیر آماره پیرسون، همبستگی معنی دار بود (P<۰/۰۵). بر اساس نتایج حاصل از روش کلاسیک همبستگی، فقط متغیر pH همبستگی معنی داری را بین ایستگاه های مورد مطالعه نشان داد (P<۰/۰۵). توابع ورودی شامل آماره های Pearson Correlation و Sig. (2-tailed) و متغیر خروجی ضریب همبستگی فازی می باشد. برای آماره Sig. (2-tailed)، پنج طبقه بسیار ضعیف، ضعیف، متوسط، قوی و بسیار قوی، برای آماره پیرسون ۵ طبقه بسیار ضعیف، ضعیف، متوسط، قوی و بسیار قوی و برای ضریب همبستگی فازی ۴ طبقه بسیار ضعیف، ضعیف، متوسط و قوی تعیین شد.
نتیجه گیری: بر اساس شاخص شاخص نهایی NSFWQI وضعیت کیفی آب در تمامی ایستگاههای مورد مطالعه در رودخانه اروند در سطح بد قرار دارند. با جایگذاری مقادیر همبستگی محاسبه شده در هر متغیر، نتایج نشان داد که تاثیر آلودگی ها بر دما بسیار ضعیف،pH و مجموع کلیفرم ضعیف، نیترات و TSS متوسط و برای BOD، DO، فسفات و کدورت قوی بوده است
فهرست منابع
1. Kumar D, Kumar R, Sharma M, Awasthi A, Kumar M. Global water quality indices: Development, implications, and limitations. Total Environment Advances. 2024; 9:200095. [DOI:10.1016/j.teadva.2023.200095]
2. Agnes V, Podschun SA, Tibor E, Hein T, Beata P, Ioan-Cristian I, Adamescu CM, Almut G, Tamas G, Anita D, Milos C. Freshwater systems and ecosystem services: Challenges and chances for cross-fertilization of disciplines. Ambio. 2022;51(1):135-51. [DOI:10.1007/s13280-021-01556-4]
3. Musie W, Gonfa G. Fresh Water Resource, Scarcity, Water Salinity Challenges and Possible Remedies: A Review. Heliyon, 2023; 9 (8):e18685. [DOI:10.1016/j.heliyon.2023.e18685]
4. Mianabadi A, Davary K, Mianabadi H, Karimi P. International environmental conflict management in transboundary river basins. Water Resources Management. 2020;34(11):3445-3464. [DOI:10.1007/s11269-020-02576-7]
5. Zhang Z, Li Y, Wang X, Liu Y, Tang W, Ding W, Han Q, Shang G, Wang Z, Chen K, Shao J. Investigating river health across mountain to urban transitions using Pythagorean fuzzy cloud technique under uncertain environment. Journal of Hydrology. 2023; 620:129426. [DOI:10.1016/j.jhydrol.2023.129426]
6. Anh NT, Nhan NT, Schmalz B, Le Luu T. Influences of key factors on river water quality in urban and rural areas: A review. Case Studies in Chemical and Environmental Engineering. 2023; 21:100424. [DOI:10.1016/j.cscee.2023.100424]
7. Estrada-Rivera A, Diaz Fonseca A, Trevino Mora S, Garcia Suastegui WA, Chavez Bravo E, Castelan Vega R, Moran Perales JL, Handal-Silva A. The impact of urbanization on water quality: case study on the alto atoyac basin in puebla, Mexico. Sustainability. 2022;14(2):667. [DOI:10.3390/su14020667]
8. Pena-Guerrero MD, Nauditt A, Munoz-Robles C, Ribbe L, Meza F. Drought impacts on water quality and potential implications for agricultural production in the Maipo River Basin, Central Chile. Hydrological Sciences Journal. 2020;65(6):1005-1021. [DOI:10.1080/02626667.2020.1711911]
9. Zamani-Ahmadmahmoodi R, Aminian S, Bayati S, Chamani A. Evaluation of Water Quality Changes in Zayandehroud River Using IRWQISC Quality Index. Journal of Environmental Health Engineering. 2023; 10(4):398-411. [In Persian]. [DOI:10.61186/jehe.10.4.398]
10. Rostambiek Z, Godini H, Noorisepehr M, Sayadi M. Assessment of surface and groundwater quality of Latian dam catchment using water quality index. Journal of Environmental Health Engineering. 2021; 8(4):391-411. [In Persian]. [DOI:10.52547/jehe.8.4.391]
11. Yulistia E, Fauziyah F, Hermansyah H. Assessment of Ogan River Water Quality Kabupaten OKU South Sumatera by NSFWQI Method. Indonesian Journal of Fundamental and Applied Chemistry. 2018;3(2):54-58. [DOI:10.24845/ijfac.v3.i2.54]
12. Omidi A, Shariati F. Evaluation of Pasikhan River, north of Iran using water quality index (NSFWQI). Caspian Journal of Environmental Sciences. 2021; 19(2):219-230.
13. Mirzaei M, Solgi E, Salman-Mahiny A. Evaluation of surface water quality by NSFWQI index and pollution risk assessment, using WRASTIC index in 2015. Archives of Hygiene Sciences. 2016;5(4):264-77.
14. Matta G, Nayak A, Kumar A, Kumar P. Water quality assessment using NSFWQI, OIP and multivariate techniques of Ganga River system, Uttarakhand, India. Applied Water Science. 2020;10(9):206. [DOI:10.1007/s13201-020-01288-y]
15. de Andrade Costa D, Soares de Azevedo JP, Dos Santos MA, dos Santos Facchetti Vinhaes Assumpção R. Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest. Scientific reports. 2020;10(1):22038. [DOI:10.1038/s41598-020-78563-0]
16. Fraga MD, da Silva DD, Reis GB, Guedes HA, Elesbon AA. Temporal and spatial trend analysis of surface water quality in the Doce River basin, Minas Gerais, Brazil. Environment, Development and Sustainability. 2021;23(8):12124-50. [DOI:10.1007/s10668-020-01160-8]
17. Patel A, Chitnis K. Application of fuzzy logic in river water quality modelling for analysis of industrialization and climate change impact on Sabarmati river. Water Supply. 2022 Jan 1;22(1):238-50. [DOI:10.2166/ws.2021.275]
18. Oladipo JO, Akinwumiju AS, Aboyeji OS, Adelodun AA. Comparison between fuzzy logic and water quality index methods: A case of water quality assessment in Ikare community, Southwestern Nigeria. Environmental Challenges. 2021 Apr 1; 3:100038. [DOI:10.1016/j.envc.2021.100038]
19. Sedeno-Diaz JE, Lopez-Lopez E. Fuzzy logic as a tool for the assessment of water quality for reservoirs: a regional perspective (Lerma River Basin, Mexico). Lake Science Climate Change. 2016; 5:155-174. [DOI:10.5772/64265]
20. Hajji S, Yahyaoui N, Bousnina S, Ben Brahim F, Allouche N, Faiedh H, Bouri S, Hachicha W, Aljuaid AM. Using a mamdani fuzzy inference system model (Mfism) for ranking groundwater quality in an agri-environmental context: Case of the hammamet-nabeul shallow aquifer (Tunisia). Water. 2021;13(18):2507. [DOI:10.3390/w13182507]
21. Caniani D, Lioi DS, Mancini IM, Masi S. Hierarchical classification of groundwater pollution risk of contaminated sites using fuzzy logic: a case study in the Basilicata Region (Italy). Water. 2015;7(5):2013-2036. [DOI:10.3390/w7052013]
22. Abdolkhanian N, Elmizadeh H, Dadolahi Sohrab A, Savari A, FayazMohammadi M. Comparing Modeling of Pollution in Arvand River in the Dry and Wet Seasons. Marine Science and Technology Journal. 2018;16 (4): 13-24. [In Persian].
23. Baird R, Rice E, Eaton A. Standard methods for the examination of water and wastewaters. Water Environment Federation, Chair Eugene W. Rice, American Public Health Association Andrew D. Eaton, American Water Works Association. 2017; 1:71-90.
24. Abdolkhanian N, Elmizadeh H, Dadolahi SA, Savari A, Fayaz MM. Spatial Analysis of Contamination in the Arvand River Using GIS. Environmental Science and Technology Quarterly. 2020;22 (7): 261-273. [In Persian].
25. Rastmanesh F, Barati-Haghighi T, Zarasvandi A. Assessment of the impact of 2019 Karun River flood on river sediment in Ahvaz city area, Iran. Environmental Monitoring and Assessment. 2020;192(10):659. [In Persian]. [DOI:10.1007/s10661-020-08607-5]
26. Choopani S, Rezaee P, Gharibreza MR. Geochemical data analysis and evaluation of ecological risk index of potentially toxic elements in surface sediments of Karun River, Vays to Ahvaz. Watershed Engineering and Management. 2023;15(2): 201-223. [In Persian].
27. Bari I, Savari A, and Driss, Adel and Turkpour, Shahin, 2013, Evaluation and investigation of pollution in Arvand river, National conference on flow and water pollution, Tehran, 9 P. [In Persian].
28. Golshan M, Dastoorpour M, Birgani YT. Fuzzy environmental monitoring for the quality assessment: Detailed feasibility study for the Karun River basin, Iran. Groundwater for sustainable development. 2020; 10:100324. [In Persian]. [DOI:10.1016/j.gsd.2019.100324]
29. Lermontov A, Yokoyama L, Lermontov M, Machado MA. River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil. Ecological Indicators. 2009;9(6):1188-97. [DOI:10.1016/j.ecolind.2009.02.006]
30. Lu RS, Lo SL. Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Research. 2002;36(9):2265-74. [DOI:10.1016/S0043-1354(01)00449-3]
31. Du H, Ji X, Chuai X. Spatial differentiation and influencing factors of water pollution-intensive industries in the Yellow River basin, China. International Journal of Environmental Research and Public Health. 2022;19(1):497. [DOI:10.3390/ijerph19010497]
32. Bhat RA, Singh DV, Qadri H, Dar GH, Dervash MA, Bhat SA, Unal BT, Ozturk M, Hakeem KR, Yousaf B. Vulnerability of municipal solid waste: An emerging threat to aquatic ecosystems. Chemosphere. 2022; 287:132223. [DOI:10.1016/j.chemosphere.2021.132223]
33. Namara I, Hartono DM, Latief Y, Moersidik SS. Policy development of river water quality governance toward land use dynamics through a risk management approach. Journal of Ecological Engineering. 2022;23(2):25-33. [DOI:10.12911/22998993/144717]
34. Ansari A, Kumar A. Water quality assessment of Ganga River along its course in India. Innovative Infrastructure Solutions. 2022; 7:1-9. [DOI:10.1007/s41062-021-00668-w]
35. Sahoo AK, Singh S, Nath A, Sunani SK. Chapter-2 Impact of agricultural pollutants on water resources and their management. Natural Resource Management and Environmental Security. 2021; 17:17.
36. Zakariah R, Othman N, Mohd Yusoff MA, Altowayti WA. Water pollution and water quality assessment on sungai Batang Melaka River. Egyptian Journal of Chemistry. 2022;65(3):245-54.
37. Yang W, Zhao Y, Wang Q, Guan B. Climate, CO2, and anthropogenic drivers of accelerated vegetation greening in the Haihe River Basin. Remote Sensing. 2022;14(2):268. [DOI:10.3390/rs14020268]
38. Schliemann SA, Grevstad N, Brazeau RH. Water quality and spatio‐temporal hot spots in an effluent‐dominated urban river. Hydrological Processes. 2021;35(1): e14001. [DOI:10.1002/hyp.14001]
39. Mokarram M, Saber A, Sheykhi V. Effects of heavy metal contamination on river water quality due to release of industrial effluents. Journal of Cleaner Production. 2020; 277:123380. [DOI:10.1016/j.jclepro.2020.123380]
40. Rasi Nezami S, Aghlmand R. Assessing the suitability of river water quality using water quality indices: A case study on Balikhlou river in northwest of Iran. Journal of Applied Research in Water and Wastewater. 2023;10(1):1-6.
41. Shahradnia H, Chamani A, Zamanpoore M, Jalalizand A. Heavy metal pollution in surface sediments of Ghareh-Aghaj River, one of the longest perennial rivers in Iran. Environmental Earth Sciences. 2021;80(3):91. [DOI:10.1007/s12665-021-09384-1]
42. Haji Pour N, Heidarnejad M, Zohrabi N. Evaluation of Water Quality of the Bahmaneshir and Arvand Rivers, Iran by the NSFWQI Index. Water Harvesting Research. 2022;5(2):160-7.
43. Valipoori Goodarzi H, Fadaei Tehrani MR, Mohammad Zadeh S, Rezaei H, Karimi A, Ostad-Ali-Askari K. Investigation regarding assessment of potentially toxic elements (PTEs) contamination risk in Rasht city with emphasis on the two rivers, Goharroud and Zarjoub, Gilan province, Iran. Sustainable Water Resources Management. 2024;10(2):50. [DOI:10.1007/s40899-023-01025-8]
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