ارزیابی خدمت اکوسیستمی کاهش خطر سیلاب شهری با رویکرد دوره بازگشت بلندمدت 25 ساله، مطالعه موردی: کلان‌شهر تبریز

نوع مقاله : مقاله کامل

نویسندگان

گروه برنامه‌ریزی شهری و منطقه‌ای، دانشکده برنامه‌ریزی و علوم محیطی، دانشگاه تبریز، تبریز، ایران

10.22059/jphgr.2026.385886.1007855

چکیده

مناطق شهری به‌ویژه کلان‌شهرها با افزایش سطوح نفوذناپذیر، رواناب‌های ناشی از باران را با حجم زیاد به‌جای نفوذ در زیرزمین در سطح زمین جاری می‌سازند و باعث به‌وجودآمدن مخاطرات شهری از جمله سیلاب‌های شهری و پیامدهای منفی و جبران‌‌‌‌‌ناپذیر ناشی از آن  می‌‌شوند. در ‌‌‌‌‌‌‌‌‌‌‌‌این بین زیرساخت‌های سبز شهری به دلیل کم هزینه بودن و ارائه خدمات تنظیمی اکوسیستمی نقش زیادی در کاهش ریسک سیلاب شهری ‌‌‌‌‌‌‌‌‌‌‌‌ایفاء می‌‌‌کنند. ازاین‌رو هدف ‌‌‌‌‌‌‌‌‌‌‌‌این پژوهش، ارزیابی خدمت اکوسیستمی کاهش ریسک سیلاب شهری تبریز با دوره بازگشت 25 ساله می‌‌‌‌باشد. در پژوهش حاضر از داده‌های مربوط به تصاویر ماهواره‌ای لندست، کاربری اراضی/پوشش اراضی، هواشناسی، جدول بیوفیزیکی، GIS و نرم‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌افزار InVEST استفاده شده است. یافته‌ها نشان داد که در سال 1363 در طی بارندگی‌های 15، 30 و 45 دقیقه‌‌‌‌‌‌‌‌‌‌‌‌ای، حجم آب جذب و نگه داشته شده به ترتیب 77/6، 47/5 و 72/4 میلیون مترمکعب و میزان منفعت خدمت اکوسیستمی کاهش ریسک سیلاب شهری 19/17، 89/13 و 99/11 میلیون دلار، در سال 1381 در طی بارندگی‌های 15، 30 و 45 دقیقه‌‌‌‌‌‌‌‌‌‌‌‌ای، حجم آب جذب و نگه داشته شده، 7، 62/5 و 83/4 میلیون مترمکعب و میزان منفعت خدمت اکوسیستمی کاهش ریسک سیلاب شهری 08/32، 78/25 و 16/22 میلیون دلار و در سال 1401 در طی بارندگی‌های 15، 30 و 45 دقیقه‌‌‌‌‌‌‌‌‌‌‌‌ای، 85/7، 15/6 و 20/5 میلیون مترمکعب و میزان منفعت خدمت اکوسیستمی کاهش ریسک سیلاب شهری، 08/56، 96/43 و 14/37 میلیون دلار برای کل محدوده کلان‌شهر تبریز بوده است. نتایج نشان داد که در پتانسیل جذب و نگهداشت رواناب تبریز، کاربری اراضی/پوشش اراضی در مقایسه با سایر موارد از جمله گروه هیدرولوژیکی خاک نقش بیشتری را داشته است. در کلان‌شهر تبریز در طی هر سه دوره زمانی مذکور، به ترتیب کاربری‌های اراضی بایر، اراضی کشاورزی و ‌‌‌‌‌‌‌‌‌تراکم مسکونی کم بیشترین میزان جذب و نگهداشت رواناب و کاربری‌های آب و مرتع کمترین میزان جذب و نگهداشت رواناب را داشته‌اند. همچنین نتایج نشان داد که در کلان‌شهر تبریز در طی هر سه دوره زمانی مذکور به ترتیب مناطق 6، 5 و 7 بیشترین میزان جذب و نگهداشت رواناب و مناطق 9 و 8 کمترین میزان جذب و نگهداشت رواناب را داشته‌اند

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation of Urban Flood Risk Mitigation Ecosystem Service With A Long-Term Return Period Approach 25 Years: A case study of Tabriz Metropolitan

نویسندگان [English]

  • Mahdi Herischian
  • Hassan Mahmoudzadeh
Department of Urban and Regional Planning, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran
چکیده [English]

ABSTRACT
Urban districts, especially metropolises, increase impervious surfaces, leading to large volumes of rainwater runoff on the ground surface rather than penetrating underground. This can result in urban hazards such as urban floods and the negative, irreparable consequences that follow. In the meantime, urban green infrastructure plays a significant role in mitigating urban flood risk due to its low cost and its provision of ecosystem regulation services. Therefore, this study aims to evaluate the ecosystem service of mitigating urban flood risk in Tabriz metropolitan with a 25-year return period. In this research, data from Landsat satellite images, land use/land cover, meteorology, a biophysical table, GIS, and the InVEST software were used. The findings showed that in 1984, during 15-, 30-, and 45-minute rainfall events, the volume of water absorbed and retained was 6.77, 5.47, and 4.72 million cubic meters, respectively, and the ecosystem service benefit of mitigating urban flood risk was 17.19, 13.89, and 11.99 million dollars, respectively. In 2002, during 15-, 30-, and 45-minute rainfall events, the volumes of water absorbed and retained were 7, 5.62, and 4.83 million cubic meters, respectively, and the ecosystem service benefits of mitigating urban flood risk were 32.08, 25.78, and 22.16 million dollars, respectively. In 2022, during 15-, 30-, and 45-minute rainfall events, it was 7.85, 6.15, and 5.20 million cubic meters, respectively, and the ecosystem service benefit of mitigating urban flood risk was 56.08, 43.96, and 37.14 million dollars for the entire Tabriz metropolitan area. The results showed that land use/land cover had a greater role in the potential for runoff absorption and retention in Tabriz than other factors, including soil hydrological group. In Tabriz metropolitan, across all three time periods, wasteland, agricultural land, and low residential density land uses had the highest runoff absorption and retention, while water and pasture land uses had the lowest. The results also showed that in Tabriz metropolis, during all three time periods, districts 6, 5, and 7 had the highest runoff absorption and retention, while districts 9 and 8 had the lowest
Extended Abstract
Introduction
Urban districts, especially metropolitan areas, with increasing impervious surfaces, cause stormwater runoff from rain to flow on the ground surface rather than penetrate underground, thereby posing urban hazards, including urban floods and their negative, irreparable consequences. In the meantime, gray stormwater infrastructure, due to its age and cost, lacks the capacity to comprehensively address urban flooding and its negative consequences, whereas green infrastructure, due to its low cost and provision of ecosystem regulation services, plays a significant role in mitigating urban flood risk. Therefore, the purpose of this study is to evaluate the ecosystem service of mitigating urban flood risk in Tabriz metropolitan with a 25-year return period.
 
Methodology
The current research is descriptive-analytical in terms of method and has a developmental-applicative nature. The required information was collected using library, documentary, electronic sources, surveys, and field observations. In this research, the urban flood risk mitigation model from the InVEST 3.12.0 software package has been used. This model is one of the models that mitigates the risk of urban flooding based on the vector map of the study area/watershed map of the study area, rainfall (in millimeters), land use/land cover map, soil hydrological group raster map, the biophysical table, vector map of built infrastructure, and table of damage caused by urban flood estimates. Finally, this model estimates the result through the following raster and vector files:
1) It calculates the amount of runoff in the form of raster data.
2) It estimates the amount of absorption and retention of runoff (in millimeters) in the form of a raster file that shows the relative amount of rainfall (expressed as a percentage of rainfall).
3) It calculates the volume of runoff retention (in cubic meters) through a raster file.
4) It calculates the flood risk in the form of a descriptive table and the field of vector files and raster data that help to identify spatial changes in the specified local limits through the calculated values.
5) It estimates the damage caused by the flood through a monetary assessment.
6) It estimates the monetary value of the ecosystem service of urban flood risk reduction using the avoided damage cost method in the form of a descriptive table.
 
Results and discussion
The findings showed that in 1984, with a rainfall of 21.93 mm (0.000022 cubic meters) and a 15-minute rainfall and a 25-year return period, the amount of water absorbed and retained was 49 percent, the volume of water absorbed and retained was 6.77 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $17.19 million. With a 30-minute rainfall, the amount of water absorbed and retained was 62 percent, the volume of water absorbed and retained was 5.47 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $13.89 million. During a 45-minute rainfall event, 70 percent of the rainfall was absorbed and retained, totaling 4.72 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $11.99 million for the entire Tabriz metropolitan area. In 2002, with a 15-minute rainfall of 14.07 mm (0.000014 cubic meters), the amount of water absorbed and retained was 51 percent, the volume absorbed and retained was 7 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $32.08 million. With a 30-minute rainfall, the amount of water absorbed and retained was 64 percent, the volume of water absorbed and retained was 5.62 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $25.78 million. With a 45-minute rainfall, the amount of water absorbed and retained was 72 percent, the volume of water absorbed and retained was 4.83 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was $22.16 million for the entire Tabriz metropolitan area. In 2022, with a rainfall of 10.78 mm (0.000011 cubic meters) and a 15-minute rainfall, the amount of water absorbed and retained was 57 percent, the volume of water absorbed and retained was 7.85 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was 56.08 million dollars. With a 30-minute rainfall, the amount of water absorbed and retained was 70 percent, the volume of water absorbed and retained was 6.15 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was 43.96 million dollars. With a 45-minute rainfall event and a 25-year return period, the amount of water absorbed and retained was 77 percent, the volume absorbed and retained was 5.20 million cubic meters, and the ecosystem service benefit of mitigating urban flood risk was 37.14 million dollars for the entire Tabriz metropolitan area.
 
Conclusion
The results showed that with increased rainfall duration (15, 30, and 45 minutes) across all three periods (1984, 2002, and 2022), the amount of runoff absorption and retention, and consequently the ecosystem service benefit of reducing urban flood risk, decreased. The results also showed that districts with higher population density and consequently higher residential land use had the lowest potential for runoff absorption and retention. In Tabriz metropolitan, due to the small amount of land uses related to green infrastructure, including green space, agricultural lands, and pastures, which play a major role in mitigating urban flood risk, these land uses have not been able to play a significant role in mitigating urban flood risk. However, green infrastructure has played a greater role than water infrastructure in mitigating the risk of urban flooding in Tabriz. Also, land use/land cover has played a greater role than other factors, including the soil hydrological group. Despite the low capacity of Tabriz's runoff absorption and retention, the role of ecosystem services in mitigating the risk of urban flooding in Tabriz remains significant. Without this role, Tabriz would have to bear the high costs of potential flood risk. As the trend of increasing impervious surfaces in the Tabriz metropolitan area continues, which has increased continuously over recent decades, the capacity for runoff absorption and retention in Tabriz will decrease further, and as a result, the volume of possible floods and the resulting economic damage will increase significantly.
 
Funding
There is no funding support.
 
Authors’ Contribution
Authors contributed equally to the conceptualization and writing of the article. All of the authors approved thecontent of the manuscript and agreed on all aspects of the work declaration of competing interest none.
 
Conflict of Interest
Authors declared no conflict of interest.
 
Acknowledgments
We are grateful to all the scientific consultants of this paper.

کلیدواژه‌ها [English]

  • Ecosystem Service
  • Urban Flood Risk Mitigation
  • Runoff Absorption and Retention
  • InVEST Model
  • Tabriz Metropolitan
  1. ایرانی، طیبه؛ عبقری، هیراد و رسولی، علی‌اکبر. (1404). تحلیل تهدیدات تغییر اقلیم و تغییر کاربری اراضی بر افزایش ریسک سیلاب حوضه آبخیز شهرچای. مخاطرات محیط طبیعی، 14(44)، 105-126. https://doi: 10.22111/jneh.2024.49039.2053
  2. آذر، علی؛ پناهی، علی و شریفی، رقیه. (1393). کاهش خسارت سیل از طریق تعیین حریم و بستر‌‌‌‌‌‌‌‌‌‌‌‌‌ رودخانۀ مهران‌‌‌‌‌‌‌‌‌‌‌‌‌رود تبریز. نشریه امداد و نجات، 6(2)، 96-103. 
  3. آذریان، کامیار. (1400). برآورد رواناب شهری و پهنه‌‌بندی آن با استفاده از تحلیل‌های فضایی در شهر بندرعباس. فصلنامه جغرافیا و برنامه‌ریزی شهری چشم انداز زاگرس، 13(50)، 27-54.
  4. باقلانی، میلاد؛ رستمی، نورالدین و توکلی، محسن. (1398). شناسایی عوامل مؤثر بر بروز سیلاب شهری در حوزه آبخیز شهر ‌‌‌‌‌‌‌‌‌‌‌‌ایلام. نشریه مهندسی و مدیریت آبخیز، 11 (2)، 523-536. https://doi.org/10.22092/ijwmse.2018.120069.1417
  5. تابعی، نادر؛ بابایی اقدم، فریدون و حکیمی، ‌ هادی. (1401). شهر همه‌‌شمول؛ رویکردی نوین در برنامه‌ریزی شهری مطالعه موردی: شهر تبریز. مجله پژوهش‌های جغرافیای برنامه‌‌ریزی شهری، 10(2)، 115-132.https://doi.org/ 10.22059/JURBANGEO.2022.335543.1627  
  6. خاتونی، کوشا؛ هوشیاری‌‌‌پور، فرهاد؛ نوری، روح‌‌‌‌الله و ملک‌محمدی، بهرام. (1402). مدل‌‌‌سازی و پهنه‌‌بندی دوبعدی سیلاب شهری در حوضه شمال شهر کرج با استفاده از HEC-RAS 2D. دوفصلنامه مهندسی آب، 11 (1)، 99-110.
  7. زینالی‌‌‌‌‌عظیم، علی؛ حاتمی‌‌‌‌گلزاری، الهام؛ کرمی، اسلام و بابازاده‌‌‌‌‌‌‌‌‌‌‌‌اسکوئی، سولماز. (1400). سنجش پایداری محیطی شهر تبریز بر اساس شاخص‌های زیست‌محیطی. فصلنامه پایداری، توسعه و محیط‌زیست، 2 (3)، 41-59. https://doi.org/JSDE-2111-1168 (R1)  
  8. علیزاده، امین. (1394). اصول هیدرولوژی کاربردی. چاپ سی و نهم، مشهد: انتشارات دانشگاه امام رضا (ع‌).
  9. فرحناکیان، زهرا؛ قضاوی، رضا؛ دخانی، سیامک و امیدوار، ابراهیم. (1403). بررسی تأثیر تغییرات اقلیمی بر دما، بارندگی و منحنی‏‏‏‏‏‏‎های شدت - مدت - فراوانی در مناطق خشک (مطالعة موردی: حوضة آبخیز کاشان). مدل‌سازی و مدیریت آب‌وخاک، 4(2)، 211-226. https://doi: 10.22098/mmws.2023.12570.1254
  10. قهرمان، بیژن و آبخضر، حمیدرضا. (1383). اصلاح روابط شدت - مدت - فراوانی بارندگی در ‌‌‌‌‌‌‌‌‌‌‌‌ایران. علوم آب‌وخاک، ۸(۲)، ۱-۱۴.
  11. معاونت برنامه‌ریزی و توسعه سرمایه انسانی شهرداری تبریز. (1401). سالنامه آماری شهر و شهرداری تبریز (سال 1399). چاپ اول، تبریز: معاونت برنامه‌ریزی و توسعه سرمایه انسانی شهرداری تبریز، اداره کل برنامه و بودجه، گروه آمار و تحلیل اطلاعات.
  12. مهندسین مشاور نقش محیط. (1391). طرح توسعه و عمران (جامع) شهر تبریز، گزارش محیطی مرحلة موجود، وزارت راه و شهرسازی، ادارة کل راه و شهرسازی استان آذربایجان شرقی.
  13. Akhtar, M., Zhao, Y., Gao, G., Gulzar, Q., Hussain, A., & Samie, A. (2020). Assessment of ecosystem services value in response to prevailing and future land use/cover changes in Lahore, Pakistan. Regional Sustainability, 1(1), 37-47.‏ https://doi.org/10.1016/j.regsus.2020.06.001.
  14. Alizadeh, A. (2015). Principles of Applied Hydrology, 39th edition, Mashhad: Imam Reza University Press. [In Persian].
  15. Azar, A., Panahi, A., & Sharifi, R. (2014). Reducing flood damage by determining the boundary and bed of the Mehran River in Tabriz, Journal of Rescue and Relief, 6 (2), 96-103. [In Persian].
  16. Azarian, K. (2021). Urban runoff estimation and zoning using spatial analysis in Bandar Abbas city, Journal of Geography and Urban Planning Zagros Landscape, 13 (50), 27-54. [In Persian].
  17. Baghalani, M., Rostami, N., & Tavakoli, M. (2019). Identification of factors affecting urban flood in Ilam City Watershed. Journal of Watershed Engineering and Management, 1 (2), 523-536. https://doi.org/10.22092/ijwmse.2018.120069.1417 [In Persian].
  18. Barnaud, C., Corbera, E., Muradian, R., Salliou, N., Sirami, C., Vialatte, A., ... & Antona, M. (2018). Ecosystem services, social interdependencies, and collective action. Ecology and society, 23(1). https://doi.org/10.5751/ES-09848-230115
  19. Bose, S., & Mazumdar, A. (2023). Urban flood risk assessment and mitigation with InVEST-UFRM model: a case study on Kolkata city, West Bengal state (India). Arabian Journal of Geosciences, 16(5), 320.‏ https://doi.org/10.1007/s12517-023-11486-y
  20. Cea, L., & Costabile, P. (2022). Flood risk in urban areas: Modelling, management and adaptation to climate change. A review. Hydrology, 9(3), 50.‏ https://doi.org/10.3390/hydrology9030050.
  21. Chan, F. K. S., Yang, L. E., Scheffran, J., Mitchell, G., Adekola, O., Griffiths, J., ... & McDonald, A. (2021). Urban flood risks and emerging challenges in a Chinese delta: The case of the Pearl River Delta. Environmental Science & Policy, 122, 101-115.‏ https://doi.org/10.1016/j.envsci.2021.04.009.
  22. Chen, J., Hill, A. A., & Urbano, L. D. (2009). A GIS-based model for urban flood inundation. Journal of Hydrology, 373(1-2), 184-192.‏ https://doi.org/10.1016/j.jhydrol.2009.04.021.
  23. Dekongmen, B. W., Kabo-bah, A. T., Domfeh, M. K., Sunkari, E. D., Dile, Y. T., Antwi, E. O., & Gyimah, R. A. A. (2021). Flood vulnerability assessment in the Accra Metropolis, southeastern Ghana. Applied Water Science, 11, 1-10.‏ https://doi.org/10.1007/s13201-021-01463-9.
  24. Dong, X., Jiang, L., Zeng, S., Guo, R., & Zeng, Y. (2020). Vulnerability of urban water infrastructures to climate change at city level. Resources, Conservation and Recycling, 161, 104918.‏ https://doi.org/10.1016/j.resconrec.2020.104918.
  25. Farahnakian, Z., Ghazavi, R., dokhan, S. & Omidvar, E. (2024). Investigating the effect of climate change on temperature, rainfall, and intensity-duration-frequency curves in dry areas (case study: Kashan Watershed). Journal of Water and Soil Management and Modelling, 4(2), 211-226. https://doi.org/10.22098/mmws.2023.12570.1254 [In Persian].
  26. Foster, S. R. (2006). The city as an ecological space: Social capital and urban land use. Notre Dame L. Rev., 82, 527.‏
  27. Franzluebbers, A. J., & Martin, G. (2022). Farming with forages can reconnect crop and livestock operations to enhance circularity and foster ecosystem services. Grass and Forage Science, 77(4), 270-281.‏ https://doi.org/10.1111/gfs.12592.
  28. Ghahraman, B., & Abkhezr, H. (2004). Improvement in Intensity-Duration-Frequency Relationships of Rainfall in Iran. Journal of Water and Soil Science, 8(2), 1-14. https://doi.org/20.1001.1.24763594.1383.8.2.1.4 [In Persian].
  29. Gitika, T., & Ranjan, S. (2014). Estimation of surface runoff using NRCS curve number procedure in Buriganga Watershed, Assam, India-a geospatial approach. International Research Journal of Earth Sciences, 2(5), 1-7.‏
  30. Gupta, A. K., & Nair, S. S. (Eds.). (2012). Ecosystem approach to disaster risk reduction. New Delhi: National Institute of Disaster Management.‏
  31. Haque, M. N., Mahi, M. M., Sharif, M. S., Rudra, R. R., & Sharifi, A. (2023). Changes in the economic value of ecosystem services in rapidly growing urban areas: the case of Dhaka, Bangladesh. Environmental Science and Pollution Research, 30(18), 52321-52339.‏ https://doi.org/10.1007/s11356-023-26096-0.
  32. https: \\earth explo rer. usgs. Gov
  33. https:// www.tabriz.ir
  34. https://www. hec. usace. army. mil/ confluence/hmsdo cs/hmstrm/cn- tables
  35. https://xiaoganghe.github.io/InVEST-Cities-in-Nature/docs/Flood-Risk-Mitigation/about
  36. Irani, T., Abghari, H. & Rasouli, A. A. (2025). Analyzing the Threats of Climate Change and Land Use Changes on Increasing Flood Risk in the Shahrchay Drainage Basin. Journal of Natural Environmental Hazards, 14(44), 105-126. https://doi: 10.22111/jneh.2024.49039.2053 [In Persian].
  37. Kadaverugu, A., Nageshwar Rao, C., & Viswanadh, G. K. (2021). Quantification of flood mitigation services by urban green spaces using InVEST model: a case study of Hyderabad city, India. Modeling earth systems and environment, 7(1), 589-602.‏ https://doi.org/10.1007/s40808-020-00937-0
  38. Kansal, M. L., & Bose, S. (2025). Ecosystem services importance in stormwater management and flood risk mitigation through InVEST model—a case study on MCD zones of Delhi. Sustainable Water Resources Management, 11(2), 1-21.‏ https://doi.org/10.1007/s40899-025-01202-x
  39. Khatouni, K., Hoshyaripour, F., Nouri, R., & Malek Mohammadi, B. (2023). Two-dimensional modeling and zoning of urban flood in the northern basin of Karaj city using HEC-RAS 2D, Journal of Water Engineering, 11 (1), 99-110. [In Persian].
  40. Larsen, T. A., Hoffmann, S., Lüthi, C., Truffer, B., & Maurer, M. (2016). Emerging solutions to the water challenges of an urbanizing world. Science, 352(6288), 928-933.‏ https://doi.org/10.1126/science.aad8641.
  41. Leta, B. M., & Adugna, D. (2024). Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia. Modeling Earth Systems and Environment, 1-21.‏ https://doi.org/10.1007/s40808-024-01956-x
  42. Mensah, H., & Ahadzie, D. K. (2020). Causes, impacts and coping strategies of floods in Ghana: a systematic review. SN Applied Sciences, 2, 1-13.‏ https://doi.org/10.1007/s42452-020-2548-z.
  43. Naghsh-E-Mohit Consulting Engineers. (2012). Development and Construction (Comprehensive) Plan of Tabriz City, Environmental Report of the Existing Stage, Ministry of Roads and Urban Development, General Office of Roads and Urban Development of East Azerbaijan Province. [In Persian].
  44. Pauleit, S., Liu, L., Ahern, J., & Kazmierczak, A. (2011). Multifunctional green infrastructure planning to promote ecological services in the city. ‏
  45. Row, S. (1976). Appendix I : USDA / SCS curve number method for estimating daily runoff, 88–90.
  46. Soomro, A. G., Babar, M. M., Memon, A. H., Zaidi, A. Z., Ashraf, A., & Lund, J. (2019). Sensitivity of direct runoff to curve number using the SCS-CN method. Civil Engineering Journal, 5(12), 2738-2746.‏ https:// doi. org/ 10. 28991/ cej- 2019- 03091 445.
  47. Tabeyi, N., Babaee Aghdam, F., & Hakimi, H. (2022). Inclusive city; A new approach in urban planning A case study the Tabriz city. Journal of Geographical Urban Planning Research, 10 (2), 115-132. https://doi.org/ 10.22059/JURBANGEO.2022.335543.1627. [In Persian].
  48. Tansar, H., Duan, H. F., & Mark, O. (2023). A multi-objective decision-making framework for implementing green-grey infrastructures to enhance urban drainage system resilience. Journal of Hydrology, 620, 129381.‏ https://doi.org/10.1016/j.jhydrol.2023.129381.
  49. Tessema, S. M., Lyon, S. W., Setegn, S. G., & Mörtberg, U. (2014). Effects of different retention parameter estimation methods on the prediction of surface runoff using the SCS curve number method. Water resources management, 28, 3241-3254.‏ https:// doi. org/ 10. 1007/s11269- 014- 0674-3
  50. Vice President of Planning and Development of Human Capital of Tabriz Municipality. (2022). Statistical yearbook of Tabriz city and municipality (year 2020), Tabriz: Vice President of Planning and Development of Human Capital of Tabriz Municipality, Program and Budget Department, Group of Statistics and Information Analysis, First Edition. [In Persian].
  51. Vilca-Campana, K., Carrasco-Valencia, L., Iruri-Ramos, C., Cárdenas-Pillco, B., Escudero, A., & Chanove-Manrique, A. (2024). An Ecosystem Service Evaluation for Urban Flood Mitigation in a Desert Region Using the Invest Model. Available at SSRN 4885367. http://dx.doi.org/10.2139/ssrn.4885367
  52. Vilca-Campana, K., Carrasco-Valencia, L., Iruri-Ramos, C., Cárdenas-Pillco, B., Escudero, A., & Chanove-Manrique, A. (2025). Improving Urban Flood Resilience: Urban Flood Risk Mitigation Assessment Using a Geospatial Model in the Urban Section of a River Corridor. Water17(7), 1047.‏ https://doi.org/10.3390/w17071047.
  53. Wang, M., Liu, M., Zhang, D., Qi, J., Fu, W., Zhang, Y., ... & Tan, S. K. (2023). Assessing and optimizing the hydrological performance of Grey-Green infrastructure systems in response to climate change and non-stationary time series. Water Research, 232, 119720.‏ https://doi.org/10.1016/j.watres.2023.119720.
  54. Wang, Z., Li, Z., Wang, Y., Zheng, X., & Deng, X. (2024). Building green infrastructure for mitigating urban flood risk in Beijing, China. Urban Forestry & Urban Greening, 93, 128218.‏ https://doi.org/10.1016/j.ufug.2024.128218
  55. Yousefi, S., Pourghasemi, H. R., Rahmati, O., Keesstra, S., Emami, S. N., & Hooke, J. (2021). Geomorphological change detection of an urban meander loop caused by an extreme flood using remote sensing and bathymetry measurements (a case study of Karoon River, Iran). Journal of Hydrology, 597, 125712.‏ https://doi.org/10.1016/j.jhydrol.2020.125712.
  56. Zeynali Azim, A., Hatami Golzari, E.,  Karami, I., &  Babazadeh Oskoui, S. (2021). Measuring the Environmental Sustainability of Tabriz City Based on Environmental Indicators of Smart Urban Growth. Journal of Sustainability, Development & Environment, 2 (3), 41-59. https://doi.org/JSDE-2111-1168 [In Persian].