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ارزیابی ریسک استفاده از پساب شهرک صنعتی البرز جهت احیاء تالاب الله‌آباد قزوین با استفاده شبکه بیزین | ||
| تحقیقات آب و خاک ایران | ||
| دوره 53، شماره 12، اسفند 1401، صفحه 2825-2837 اصل مقاله (1.95 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2023.353884.669431 | ||
| نویسندگان | ||
| حسین ربانیها* 1؛ شیما کبیری2؛ بیژن نظری3؛ راضیه آنالوئی4 | ||
| 1دانشجوی دکتری آبیاری و زهکشی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران | ||
| 2گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه شهرکرد، شهرکرد، ایران. | ||
| 3گروه علوم و مهندسی آب، دانشکده کشاورزی و منابع طبیعی، دانشگاه بین المللی امام خمینی(ره)، قزوین، ایران. | ||
| 4گروه مهندسی عمران، دانشگاه صنعتی اصفهان، اصفهان، ایران. | ||
| چکیده | ||
| تالاب‌ها نقش اساسی در اکوسیستم داشته و تأثیر زیادی بر زندگی مردم دارند لذا احیا تالاب‌های تخریب‌شده امری حیاتی است. با کمبود منابع آب، پساب‌های شهری و صنعتی می‌توانند به‌عنوان منابع آب جایگزین در مصارف مختلف استفاده شوند. در این پژوهش ریسک استفاده از پساب شهرک صنعتی البرز در استان قزوین جهت انتقال به تالاب اله‌آباد به‌منظور احیا آن مورد بررسی قرار گرفته است. ابتدا عوامل تأثیرگذار و تأثیرپذیر در محدوده طرح شناسایی شد. سپس با استفاده از داده‌های کیفیت آب تصفیه‌خانه شهرک صنعتی البرز که در سال انجام پژوهش برداشت شده‌اند و جمع‌آوری نظرات 20 کارشناس با تخصص‌های محیط‌زیست، منابع آب و آبیاری و زهکشی در قالب پرسشنامه، ریسک طرح به روش شبکه بیزین محاسبه گردید. نتایج نشان داد که در بین گره‌های میانی ساختار ریسک، کمترین و بیشترین مقدار به ترتیب مربوط به گره‌های فلزات سنگین و افزایش هزینه‌های اجرا است که در زیرگروه ریسک محیط‌زیستی بهداشتی و اقتصادی قرار می‌گیرد. علی‌رغم این‌که کیفیت پساب در بیشتر پارامترها در حد استاندارد است، ریسک‌های محیط‌زیستی-بهداشتی، اجتماعی-فرهنگی، اقتصادی و فنی به ترتیب برابر با 44، 47، 50 و 49 درصد محاسبه شد. با توجه به ریسک‌های محاسبه شده، بخش فنی و اقتصادی طرح پتانسیل بیشتری برای ایجاد شکست طرح را دارد. ریسک کلی طرح 49 درصد محاسبه شد که می‌تواند آسیب‌های غیرقابل جبرانی به بار آورد و منجر به شکست پروژه گردد. قبل از اجرای طرح باید جنبه‌های مختلف محیط زیستی، اجتماعی و مسائل فنی و اقتصادی به دقت بررسی شده و احتمال ایجاد ریسک به حداقل برسد. | ||
| کلیدواژه‌ها | ||
| انتقال پساب؛ تصفیه فاضلاب؛ فلزات سنگین؛ مدل GeNIe | ||
| عنوان مقاله [English] | ||
| Risk assessment of using alborz industrial town's treated wastewater for restoration allahabad qazvin wetland using the bayesian network | ||
| نویسندگان [English] | ||
| Hossein Rabbaniha1؛ Shima Kabiri2؛ Bijan Nazari3؛ Razieh Analouei4 | ||
| 1Department of Irrigation & Reclamation Engineering, Campus of Agriculture and Natural Resources, University of Tehran | ||
| 2Water Engineering Department, Faculty of Agricultural, University of Shahrekord, Shahrekord, Iran. | ||
| 3Water Engineering Department, Agricultural and Natural Resources Faculty, Imam Khomeini International University, Qazvin, Iran | ||
| 4Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran | ||
| چکیده [English] | ||
| Wetlands play an essential role in the ecosystem and have a significant impact on people's lives, so the restoration of destroyed wetlands is vital. With the lack of water sources, municipal and industrial wastewater can be used as alternative water sources for various purposes. Due to the presence of contamination in wastewater, the use of wastewater carries risks depending on which purpose it is used for. In this study, the risk of using Alborz Industrial Town treated wastewater in Qazvin province to restore Allahabad Wetland has been investigated. First, by visiting the project's origin, route, and destination and holding numerous meetings with experts involved in the project, influential factors were identified within the scope of the project. Then, an integrated hierarchical structure was created to express these factors. This structure starts from the initial nodes which are the quality of the effluent and leads to the final node. Using the water quality data of the Alborz Industrial Town treatment plant that were collected in the year of study and collecting the opinion of 20 experts in the form of a questionnaire in order to evaluate each node, the risk of the wastewater transfer project to Allahabad Wetland was calculated using the Bayesian network method. The academic version of GeNIe software was used to calculate the risk using the Bayesian network method. The results showed that among the middle nodes of the risk structure, the lowest and highest values are related to the nodes of heavy metals in the health environment risk subgroup and the increase of implementation costs in the economic subgroup. Despite the fact that the effluent quality is within standard limits in most parameters, environmental, cultural, social, economic and technical health risks are equal to 44, 47, 50 and 49%, respectively. The total risk of the project, which is the result of four risks, was calculated as 49%. According to the acceptable quality of wastewater and the calculated risks, the nodes and weights of other economic, technical and social sectors have influenced the final risk. Therefore, to reduce the risk of the project, these parts should be examined. The technical and economic part of the project has more potential for project failure. Before implementing the project, various environmental, social, technical, and economic dimensions should be carefully examined and the possibility of creating risk should be minimized. To reduce the risk of the wastewater transfer project to the wetland, pollutants such as heavy metals must first be removed from the wastewater, and social tensions should be prevented by increasing the awareness of the people of the region and also by allocating water quotas. Allahabad Wetland plays an important role in the ecosystem and people livelihood of the region, and with a more detailed examination of the dimensions of the plan and risk reduction in the four environmental, social, economic, and technical sectors, the implementation of the wastewater transfer project to Allah Abad Wetland can be effective in its restoration. | ||
| کلیدواژه‌ها [English] | ||
| GeNIe model, Heavy metals, Wastewater transfer, Wastewater treatment | ||
| مراجع | ||
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Alavi, Vajihe (2012). Risk analysis of wastewater reuse in agriculture using MCDM and Bayesian network (Mater of Science Thesis). Kharazmi University. Tehran. (In Persian). Analouei, Razieh (2017). Integrated Risk Assessment of Wastewater Treatment Plant and Water Reuse (Case Study: Wastewater Treatment Plant of Industrial complex of Moorchekhort) (Mater of Science Thesis). Isfahan University of Technology. Isfahan. (In Persian). Anbari, M. J., Tabesh, M., & Roozbahani, A. (2017). Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks. Journal of environmental management, 190, 91-101. Asano, T., Burton, F., & Leverenz, H. (2007). Water reuse: issues, technologies, and applications. McGraw-Hill Education. Aven, T. (2011). On some recent definitions and analysis frameworks for risk, vulnerability, and resilience. Risk Analysis: An International Journal, 31(4), 515-522. BayesFusion, L. L. C. (2017). GeNIe Modeler. User Manual. Available online: https://support. bayesfusion. com/docs/ (accessed on 21 October 2019). Gheorghe, A., & Mock, R. (1999). Risk engineering: bridging risk analysis with stakeholders values (Vol. 6). Springer Science & Business Media. Haimes, Y. Y. (2009). On the complex definition of risk: A systems‐based approach. Risk Analysis: An International Journal, 29(12), 1647-1654. Huang, L., Rad, S., Xu, L., Gui, L., Song, X., Li, Y., ... & Chen, Z. (2020). Heavy metals distribution, sources, and ecological risk assessment in Huixian Wetland, South China. Water, 12(2), 431. Jafariazar, S., Sabzghabaei, G. R., Tavakoly, M., & Dashti, S. S. (2017). Assessment and Analysis of Khur-e-khuran International Wetland Environmental Risks Using Multi-Criteria Decision-Making Methods. Irrigation Sciences and Engineering, 40(3), 63-75. (In Persian). Kamrani, K., Roozbahani, A., & Shahdany, S. M. H. (2020). Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus. Agricultural Water Management, 239, 106265. Lowrance, W. W. (1976). Of acceptable risk: Science and the determination of safety. Ministry of Energy. (2010). Environmental Criteria of Treated Waste Water and Return Flow Reuse. No, 535. (In Persian) Pan, Q., Chhipi-Shrestha, G., Zhou, D., Zhang, K., Hewage, K., & Sadiq, R. (2018). Evaluating water reuse applications under uncertainty: generalized intuitionistic fuzzy-based approach. Stochastic Environmental Research and Risk Assessment, 32(4), 1099-1111. PANDAM Consulting Engineers. (2021). Effluent use studies of central industrial wastewater treatment plants in Qazvin province. Tehran, Iran. (In Persian). Pearl, J. (1988). Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan kaufmann. Rahimi Blouchi, L., & Malekmohammadi, B. (2013). Environmental Risk Assessment of Shadegan International Wetland Based on Ecological Indicators. Journal of Environmental Studies, 39(1), 101-112. (In Persian). Shafiee Neyestanak, J., & Roozbahani, A. (2021). Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model. Water Resources Management, 35(14), 5049-5072. Shafiee Neyestanak, Javad (2020). Multi-Attribute Risk Assessment of the Use of Treated Wastewater as Alternative Water Resources with Bayesian Networks (Mater of Science Thesis). University of Tehran, Tehran. (In Persian). Shakeri, H., & Nazif, S. (2018). Development of an algorithm for risk-based management of wastewater reuse alternatives. Journal of Water Reuse and Desalination, 8(1), 38-57. Tabesh, M., Roozbahani, A., Roghani, B., Faghihi, N. R., & Heydarzadeh, R. (2018). Risk assessment of factors influencing non-revenue water using Bayesian networks and fuzzy logic. Water Resources Management, 32(11), 3647-3670. Taheriyoun, M., Alavi, V., & Ahmadi, A. (2016). Risk Analysis of Wastewater Reuse in Agriculture Using Baysian Network. Amirkabir Journal of Civil Engineering, 48(1), 101-109. (In Persian). Tchobanoglus, G., Burton, F., & Stensel, H. D. (2003). Wastewater engineering: treatment and reuse. American Water Works Association. Journal, 95(5), 201. Torres, J. M., Brumbelow, K., & Guikema, S. D. (2009). Risk classification and uncertainty propagation for virtual water distribution systems. Reliability Engineering & System Safety, 94(8), 1259-1273. Vose, D. (2008). Risk analysis: a quantitative guide. John Wiley & Sons. Wang, X., Ma, F., Li, C., & Zhu, J. (2015). A bayesian method for water resources vulnerability assessment: A case study of the Zhangjiakou Region, North China. Mathematical Problems in Engineering, 120873. Yargholi, B., Azimi, M, M. & M. Pormoghadam, M. 2018. Successful experience in using wastewater in eucalyptus cultivation in saline lands of Bushehr province. 2nd National Festival of Water Technologies, Unconventional Waters (Saline and Wastewater), Mashhad, Ferdowsi University of Mashhad, Iran. (In Persian). | ||
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