پژوهش های محیط زیست

پژوهش های محیط زیست

ارزیابی تاب‌آوری کالبدی- فضایی سکونتگاه‌های روستایی علی‌آباد‌کتول در برابر سیلاب با استفاده از آنتروپی شانون

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشجوی دکترا برنامه ریزی محیط زیست، گروه کشاورزی و منابع طبیعی، پردیس البرز، دانشگاه تهران، ایران
2 استاد دانشکده محیط زیست، پردیس دانشکده های فنی، دانشگاه تهران، ایران
3 دانشیار دانشکده محیط زیست، پردیس دانشکده های فنی، دانشگاه تهران، ایران
10.22034/eiap.2025.229983
چکیده
تغییر اقلیم موجب افزایش شدت و فراوانی سیلاب‌ها شده است. این مخاطرات طبیعی تأثیرات منفی قابل توجهی بر زندگی و زیرساخت‌های جوامع دارند. بررسی تاب‌آوری در ابعاد مختلف می‌تواند راهکارهای مؤثری برای مقابله با پدیده‌های اقلیمی ارائه دهد. این پژوهش با هدف ارزیابی تاب‌آوری کالبدی-زیرساختی در برابر سیل در مناطق روستایی شهرستان علی‌آباد‌کتول به منظور ارتقا ظرفیت تاب‌آوری سکونتگاه‌های روستایی انجام شده است. شاخص‌های مؤثر بر خطرپذیری سیل شامل ارتفاع، شیب، شاخص رطوبت توپوگرافی، بارندگی، پو شش گیاهی، بافت خاک، فاصله از رودخانه و پهنه سیلابی با دوره بازگشت 100 ساله شناسایی شدند. سپس این شاخص‌ها با روش تحلیل سلسله مراتبی ارزیابی شدند. شاخص‌های مراکز درمانی، فاصله از جاده، کیفیت و اسکلت ابنیه، برق، گاز و آب در این پژوهش به عنوان شاخص‌های کالبدی مورد بررسی قرار گرفتند که باکمک آنتروپی شانون وزن‌دهی شدند. سپس با استفاده از سیستم اطلاعات جغرافیایی، نقشه تاب‌آوری کالبدی-زیرساختی برای مناطق روستایی تهیه شد. نتایج نشان داد که از لحاظ پراکنش جمعیت روستایی، 5/45 درصد از مناطق روستایی شهرستان دارای تاب‌آوری کالبدی-زیرساختی خوب، 4/23 درصد متوسط و 1/31 درصد پایین در برابر سیل هستند. مناطق مرکزی و شمالی شهرستان به دلیل برخورداری از ویژگی‌های کالبدی-زیرساختی مناسب‌تر، از تاب‌آوری بالاتری برخوردارند. در مقابل، مناطق جنوبی و غربی به دلیل کیفیت پایین سازه‌ها (60 درصد متوسط و 15 درصد پایین)، دسترسی محدود به زیرساخت‌ها و خدمات (52 درصد متوسط و 28 درصد پایین) و موقعیت جغرافیایی نامطلوب، تاب‌آوری کمتری در برابر سیل دارند. بنابراین، سیاست‌گذاری و برنامه‌ریزی برای افزایش تاب‌آوری کالبدی- ساختی نواحی آسیب‌پذیر ضروری است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Evaluating the Physical- Spatial Resilience of Rural Settlements in Aliabadkatoul County Against Flood Using Shannon Entropy

نویسندگان English

Hirsa Taheri Mashhadi 1
Esmail Salehi 2
Ahmad Nohegar 2
Shahrzad Faryadi 3
1 PhD Candidate in Environmental Planning, Department of agriculture and natural resources, Alborz Campus, University of Tehran, Tehran, Iran.
2 Profe, School of Environment, College of Engineering, University of Tehran, Tehran, Iran
3 Associate Profe, School of Environment, College of Engineering, University of Tehran, Tehran, Iran
چکیده English

Climate change has led to an increase in the intensity and frequency of floods. These natural hazards have significant negative impacts on the lives and infrastructure of communities. Examining resilience in various dimensions can provide effective solutions to deal with climate change. This research aimed to evaluate the physical-infrastructural resilience against floods in rural areas of Aliabadkatoul County to enhance the resilience capacity of rural settlements. Flood vulnerability indicators, including elevation, slope, topographic wetness index, rainfall, soil texture, distance from the river, and the 100-year flood zone, were identified. These indicators were evaluated using AHP method. Indicators of quality and structure of buildings, healthcare centers, and distance from roads, electricity, gas, and water were considered as physical indicators in this study, and their weights were determined using Shannon entropy. Then, using a Geographic Information System (GIS), a map of physical-infrastructural resilience for rural areas was prepared. The results showed that regarding the distribution of the rural population, 45.5% of rural areas in the county have good physical-infrastructural resilience, 23.4% have moderate resilience, and 31.1% have low resilience against floods. The central and northern parts of the county have greater resilience due to their more favorable physical and infrastructural features. In contrast, the southern and western regions have lower flood resilience due to the poor quality of structures (60% moderate and 15% low), limited access to infrastructure (52% moderate and 28% low), and unfavorable geographical location. Therefore, policymaking to increase the physical-structural resilience of vulnerable areas is essential.

کلیدواژه‌ها English

Aliabadkatoul
Climate change
Flood
Physical-infrastructural resilience
Shannon entropy
  1. Ahmed, N., Hoque, M. A. A., Howlader, N., & Pradhan, B. (2022). Flood risk assessment: role of mitigation capacity in spatial flood risk mapping. Geocarto International, 37(25), 8394–8416. https://doi.org/ 10.1080/10106049.2021.2002422

    Anabestani, A., & Javanshiri, M. (2019). A spatial assessment of the infrastructure resilience capacity in rural communities of Bojnourd County by FAHP model and fuzzy logic in GIS. Journal of Natural Environmental Hazards, 8(20), 167-196. (In Persian). https://doi.org/10.22111/jneh.2018.23018.1351

    Anthopoulou, T., Kaberis, N., & Petrou, M. (2017). Aspects and experiences of crisis in rural Greece. Narratives of rural resilience. Journal of Rural Studies, 52, 1–11. https://doi.org/10.1016/ j.jrurstud.2017.03.006

    Beytollahi, A. (2019). Golestan flood report. Road, Housing and Urban Development Research Center.

    Bristow, G., & Healy, A. (2015). Crisis response, choice and resilience: insights from complexity thinking. Cambridge Journal of Regions, Economy and Society, 8, 241–256. https://api.semanticscholar.org/ CorpusID:11786897

    Bui, Q. D., Luu, C., Mai, S. H., Ha, H. T., Ta, H. T., & Pham, B. T. (2022). Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process. Risk Analysis, 43(7), 1478–1495. https://doi.org/10.1111/risa.14018

    Cerbaro, M., Morse, S., Murphy, R., Middlemiss, S., & Michelakis, D. (2022). Assessing Urban Vulnerability to Flooding: A Framework to Measure Resilience Using Remote Sensing Approaches. Sustainability (Switzerland), 14(4). https://doi.org/10.3390/su14042276

    Chirisa, I., & Nel, V. (2021). Resilience and climate change in rural areas: a review of infrastructure policies across global regions. Sustainable and Resilient Infrastructure, 7(5), 380–390. https://doi.org/10.1080/ 23789689.2020.1871538

    Coaffee, J., & Lee, P. (2016). Urban resilience: planning for risk, crisis and uncertainty (1st ed.). Red Globe Press.

    Curt, C., & Tacnet, J. (2018). Resilience of Critical Infrastructures: Review and Analysis of Current Approaches. Risk Analysis, 38. https://api.semanticscholar.org/CorpusID:51984946

    Ebrahimipoor, M., Zayyari, K., & Ardalan, A. (2021). Explaining the Pattern of Physical Resilience Measurement in River-centered city Against the Impact of Floods (Case study: Tonekabon City). Journal of Geographical Research in Space, 11(41), 43-68. (In Persian).

    Energy, M. of. (2019). National flood report. Center for Social Affairs of Water and Energy Resources.

    Ha, H., Bui, Q. D., Nguyen, H. D., Pham, B. T., Lai, T. D., & Luu, C. (2023). A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam. Environment, Development and Sustainability, 25(2), 1101–1130. https://doi.org/10.1007/s10668-021-02041-4

    Hagos, Y. G., Andualem, T. G., Yibeltal, M., & Mengie, M. A. (2022). Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia. Applied Water Science, 12(7), 1–18. https://doi.org/10.1007/s13201-022-01674-8

    Hamidi, N., Vafakhah, M., & Najafi, A. (2017). Development of Urban Flood Hazard Map for Nour City Using Analytical Hierarchy Process and Fuzzy Logic. Journal of Watershed Management Research, 7(14), 19-11. (In Persian). https://doi.org/10.29252/jwmr.7.14.19

    Heijman, W., Hagelaar, G., & van der Heide, M. (2019). Rural Resilience as a New Development Concept. January, 195–211. https://doi.org/10.1007/978-3-030-28642-2_11

    Hosseini, S., & Barker, K. (2016). Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports. Comput. Ind. Eng., 93, 252–266. https://api.semanticscholar.org/CorpusID: 10520341

    IPCC. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. https://doi.org/10.1017/ 9781009157896

    IPCC. (2022). Fact Sheets | Climate Change 2022: Impacts, Adaptation and Vulnerability. In Fact Sheet.

    Janizadeh, S., Chandra Pal, S., Saha, A., Chowdhuri, I., Ahmadi, K., Mirzaei, S., Mosavi, A. H., & Tiefenbacher, J. P. (2021). Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future. Journal of Environmental Management, 298(February). https://doi.org/10.1016/j.jenvman.2021.113551

    Laurien, F., Martin, J. G. C., & Mehryar, S. (2022). Climate and disaster resilience measurement: Persistent gaps in multiple hazards, methods, and practicability. Climate Risk Management, 37, 100443. https://doi.org/10.1016/j.crm.2022.100443

    1. Jibhakate, S., V. Timbadiya, P., & L. Patel, P. (2023). Multiparameter flood hazard, socioeconomic vulnerability and flood risk assessment for densely populated coastal city. Journal of Environmental Management, 344, 118405. https://doi.org/https://doi.org/10.1016/j.jenvman.2023.118405

    Maesoumian, R., Motevalli, S., Janbaz Ghobadi, G., & Khaledi, S. (2022). Spatial analysis of physical-infrastructural resilience of Chamestan City against flood. Journal of Natural Environment Hazards, 11(32), 37-56. (In Persian). https://doi.org/10.22111/jneh.2021.36464.1725

    Mehryar, S., & Surminski, S. (2022). Investigating flood resilience perceptions and supporting collective decision-making through fuzzy cognitive mapping. Science of the Total Environment, 837(March), 155854. https://doi.org/10.1016/j.scitotenv.2022.155854

    MirzaAli, M., Nazari, A. H., & Ownegh, M. (2018). Measuring the physical dimension of rural resilience against flood (Case study: Gorganroud watershed basin). Journal of Physical Development Planning, 3(7, (New Series)), 111-133. (In Persian). https://doi.org/10.30473/psp.2018.5262

    Mirzaali Mohammad, N. A., & Ownegh Majid. (2018). Measuring the physical dimension of rural resilience against flood (Case study: Gorganroud watershed basin). Journal of Physical Development Planning, 3, (New Se(7), 111-133. (In Persian).

    Nadiri, M. (2019). Assessment of Aydoghmoos watershed flood risk using AHP-TOPSIS model. Quarterly of Geography & Regional Planning, 9(3), 298-306. (In Persian).

    Naghdi, A., Mafi, E., & Vatanparast, M. (2020). Evaluation of urban regeneration of worn-out neighborhoods to enhance physical resilience (Case study: The worn-out texture of Faroj city). Journal of Applied Research in Geographical Sciences, 20(58), 261-281(In Persian).

    Nan, C., & Sansavini, G. (2017). A quantitative method for assessing resilience of interdependent infrastructures. Reliability Engineering and System Safety, 157, 35–53. https://doi.org/10.1016/ j.ress.2016.08.013

    Nehren, U., Sandholz, S., Sudmeier-Rieux, K., & Vicarelli, M. (2014). The Ecosystem-based Disaster Risk Reduction. Partnership for Environment and Disaster Risk Reduction and Center for Natural Resources and Development: Geneva, Switzerland; Cologne, Germany.

    Nohani, E., Darabi, F., Maroofinia, E., & Khosravi, K. (2016). Evaluation of Shannon entropy in order to flood probability and susceptibility mapping at Haraz catchment. Journal of Natural Environmental Hazards, 10(5), 99-116. (In Persian). https://doi.org/doi: 10.22111/jneh.2017.2958

    Olsson, L., Jerneck, A., Thorén, H., Persson, J., & O’Byrne, D. (2015). Why resilience is unappealing to social science: Theoretical and empirical investigations of the scientific use of resilience. Science Advances, 1. https://api.semanticscholar.org/CorpusID:6899890

    Parker, D. J. (2020). Disaster resilience–a challenged science. Environmental Hazards, 19(1), 1–9. https://doi.org/10.1080/17477891.2019.1694857

    Pourghasemi, H. R., Moradi, H. R., & Mohammadi, M. (2014). Landslide Susceptibility Zoning, Using Weight of Evidence Probabilistic Model. Journal of Geospatial Information Technology, 1(2), (In Persian). https://doi.org/10.29252/jgit.1.2.69

    Rafieeian, M., Rezaee, M., Asgari, A., Parhizkar, A., & Shayan, S. (2011). Conceptual explanation of resilience and creation of its indicator in the community base disaster management. The Journal of Spatial Planning and Geomatics, 15(4), 19-41.(In Persian). http://hsmsp.modares.ac.ir/article-21-9255-fa.html

    Rahayu, R., Mathias, S. A., Reaney, S., Vesuviano, G., Suwarman, R., & Ramdhan, A. M. (2023). Impact of land cover, rainfall and topography on flood risk in West Java. Natural Hazards, 116(2), 1735–1758. https://doi.org/10.1007/s11069-022-05737-6

    Serre, D., & Heinzlef, C. (2018). Assessing and mapping urban resilience to floods with respect to cascading effects through critical infrastructure networks. International Journal of Disaster Risk Reduction, 30(February), 235–243. https://doi.org/10.1016/j.ijdrr.2018.02.018

    Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022). The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8). https://doi.org/10.3390/land11081271

    Taherimashhadi, H., & Ghazban, F. (2018). Flood Risk Assessment In KAND Watershed Of Iran. Global Journal of Engineering Science and Research Management, 5(6), 5–12. https://doi.org/10.5281/ zenodo.1286786

    UN-Habitat. (2017). New Urban Agenda. United Nations Human Settlements Programme.

    UNDRR. (2015). Sendai Framework for Disaster Risk Reduction 2015-2030.

    UNDRR. (2019). United Nations Office for Disaster Risk Reduction.

    UNDRR. (2022). The Human Cost of Disasters: An Overview of the Last 20 Years (2001-2020).

    Wilson, G. A. (2012). Community resilience, globalization, and transitional pathways of decision-making. Geoforum, 43(6), 1218–1231. https://doi.org/10.1016/j.geoforum.2012.03.008

    Xu, H., Ma, C., Lian, J., Xu, K., & Chaima, E. (2018). Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China. Journal of Hydrology, 563(June), 975–986. https://doi.org/10.1016/j.jhydrol.2018.06.060

    Zhang, X., Mao, F., Gong, Z., Hannah, D. M., Cai, Y., & Wu, J. (2023). A disaster-damage-based framework for assessing urban resilience to intense rainfall-induced flooding. Urban Climate, 48, 101402. https://doi.org/10.1016/j.uclim.2022.101402

    Zhu, S., Li, D., Huang, G., Chhipi-Shrestha, G., Nahiduzzaman, K. M., Hewage, K., & Sadiq, R. (2021). Enhancing urban flood resilience: A holistic framework incorporating historic worst flood to Yangtze River Delta, China. International Journal of Disaster Risk Reduction, 61(September 2020), 102355. https://doi.org/10.1016/j.ijdrr.2021.102355

    رفیعیان, م., رضایی, م., عسگری, ع., پرهیزکار, ا., & شایان, س. (1390). تببین مفهومی تاب‌آوری و شاخص سازی آن در مدیریت سوانح اجتماع محور (CBDM). برنامه ریزی فضایی (علوم انسانی مدرس), 15(4), 19–41.