Determining the Flood Hazard Level of Mazandaran Sub-Basins Using a GIS-based Distributed Method

Document Type : Research Article

Authors

1 Water Engineering Dept, IKIU University

2 Water Engineering Dept., IKIU University, Qazvin, Iran

3 Assistant Professor, Imam Khomeini International University

Abstract

The most important step for prevention of flood’s destructive effects is determining the flood-prone areas over the catchment. There are several approaches for flood prioritization and flood hazard mapping when it comes to flood subject, but the distributed and GIS-based methods are one of the best ones and widely used. Most of the studies that have carried out on this topic were based on analytical hierarchy process (AHP) or fuzzy analytical hierarchy process (FAHP) for estimating the weight of factors affecting the formation of the flood. These methods depend on experts comments and owing to their unfamiliarity with all factors that affect the flood formation, it maybe leads to significant biases in the final results and unreasonable analyses. On this basis, a new method which considers the interaction between the effective factors is used in this study. Finally, by using a linear combination the flood hazard map is created for the study area and divided into five classes including very high, high, moderate, low and very low. Verification of this approach by using recorded destructive floods at different hydrometric stations indicates that the performance of this method, especially on
identifying areas with very high and high hazard levels, is very remarkable. For example, the results of distributed approach in Shirgah-Talar, Razan-Noor, SoleimanTange, Ghoran-Talar and Doab-Challos hydrometric stations are completely matched with recorded historical floods that most of them have the return periods higher than 50-year and 100-year. One of the great advantages of this approach is that it can predict and determine the spatial pattern of flood-prone areas which is more important especially for local authorities and persons who are in areas with high danger of floods. After identifying the flood-hazard areas, the local authorities can set preventive measures for reducing flood
damages, design evacuation plans and run campaigns such as posters and maps to inform the residents about the hazardous areas.

Keywords


امیدوار، ک؛ کیانفر، آ؛ عسکری، ش. (1389). "پهنه‌بندی پتانسیل سیل‌خیزی حوضه آبریز کنجانچم"، مجله پژوهش‌های جغرافیای طبیعی، شماره 72، دوره 42، ص‌.ص. 35-25.
رضوی­زاده، س؛ شاهدی،ک. (1395). "اولویت‌بندی سیل‌خیزی زیرحوضه­های آبخیز طالقان با استفاده از تلفیق AHP و TOPSIS"، فصل‌نامه اکوسیستم‌های طبیعی ایران، دوره 7، شماره 4، ص‌.ص. 46-33.
ملکیان، آ؛ افتادگان خوزانی، ا؛ عشوری زاده، غ. (1391). "پهنه‌بندی پتانسیل سیل خیزی حوزه آبریز اخترآباد با استفاده از روش تحلیل سلسه مراتبی فازی"، مجله پژوهش‌های جغرافیای طبیعی، دوره 44، شماره 4، ص.‌ص. 152-131.
موسوی، م؛ نگهبان، س؛ رخشانی مقدم، ح؛ حسین­زاده، م. (1395). "ارزیابی و پهنه بندی خطر سیل‌خیزی با استفاده منطق فازی TOPSIS در محیط GIS"، مجله مخاطرات محیط طبیعی، دوره 5، شماره 10، ص.‌ص‌. 98-79.
نسرین­نژاد، ن؛ رنگزن، ک؛ کلانتری، ن؛ صابری، ع. (1393). "پهنه‌بندی پتانسیل خیزی حوزه آبریز باغان با استفاده از روش تحلیل سلسله مراتبی فازی"، نشریه سنجش از دور و سامانه های اطلاعات جغرافیایی در منابع طبیعی، دوره 5، شماره 4، ص.‌ص. 34-15.
نصرتی، ک؛ احمدی، م؛ ثروتی، م.ر؛ مزبانی، م. (1392). "تعیین عوامل مؤثر در پتانسیل سیل خیزی حوزه آبخیز دره شهر بر اساس مناطق همگن هیدرولوژیک"، مجله آمایش جغرافیایی فضا، دوره 3، شماره ، ص.ص. 137-119.
نیکجوی، م؛ روحان، ح. (1394). "پهنه­بندی پتاسیل سیل‌خیزی حوزه آبخیز قورچای رامیان"، مجله ترویج و توسعه آبخیزداری، دوره 3، شماره 10، ص.ص. 42-30.
Azizian A, Shokoohi AR (2015). “Investigation of the Effects of DEM Creation Methods on the Performance of a Semi distributed Model: TOPMODEL”. Journal of Hydrologic Engineering 20(11): 05015005(1-9).
Ballesteros CJA, Eguibar M, Bodoque MJ, Diez-Herrero A, Stoffel M, Gutierrez-Perez I (2011). “Estimating flash flood discharge in an ungauged mountain catchment with 2D hydraulic models and dendrogeomorphic palaeostage indicators”. Hydrol. Process. 25 (6): 970–979.
Brocca L, Melone F, Moramarco T (2011). “Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting”. Hydrol. Process. 25: 2801–2813.
Chau VN, Holland J, Cassells S, Tuohy M (2013). “Using GIS to map impacts upon agriculture from extreme floods in Vietnam”. Appl. Geogr. 41: 65-74.
Chenini I, Mammou AB, May MEL (2010). “Groundwater recharge zone mapping using GIS-based multi-criteria analysis: a case study in central Tunisia (Maknassy Basin)”. Water Resour. Manage. 24: 921–939.
Eimers JL, Weaver JC, Terziotti S, Midgette RW (2000). “Methods of rating unsaturated zone and watershed characteristics of public water supplies in North Carolina. Raleigh”, NC: Water Resour. Invest. Report 99–4283.
Gemitzi A, Petalas C, Tzihrintzis VA, Pisinaras V (2006). “Assessment of groundwater vulnerability to pollution: a combination of GIS, fuzzy logic and decision making techniques”. Environ. Geol. 49(5): 653–673.
Goovaerts P (2000). “Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall”. J. Hydrol. 228(1-2): 113–129.
Huang Y, Wong P, Gedeon T (1998). “Spatial interpolation using fuzzy reasoning and genetic algorithms”. J. Geogr. Info Decision Analysis. 2(2): 204–214.
Kazakis N, Kougias I, Patsialis T (2015). “Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process: application in Rhodope–Evros region Greece”. Sci. Total Environ. 538: 555–563.
Kourgialas NN, Karatzas GP (2011). “Flood management and a GIS modelling method to assess flood-hazard areas: a case study”. Hydrol. Sci. J. 56 (2): 212–225.
Kourgialas NN, Karatzas GP, Nikolaidis NP (2010). “An integrated framework for the hydrologic simulation of a complex geomorphological river basin”. J. Hydrol. 381: 308–321.
Kwak Y, Kondoh A (2008). “A study on the extraction of multifactor influencing floods from RS image and GIS data; a case study in Nackdong basin, S. Korea. Beijing: The International Archives of the Photogrammetry”, Remote Sensing and Spatial Information Sciences XXXVII (Part B8): 421–426.
Liu YB, Gebremeskel S, De Smedt F, Hoffmann L, Pfister L (2003). “A diffusive transport approach for flow routing in GIS-based flood modeling”. J. Hydrol. 283 (1–4): 91–106.
Lloyd, C. D. (2005). “Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain”. J. Hydrol. 308(1-4), 128–150.
Malby AR, Whyatt JD, Timmis RJ, Wilby RJ, Orr HG (2007). “Long-term variations in orographic rainfall: analysis and implications for upland catchments”. Hydrol. Sci. J. 52(2): 276–291.
Morelli S, Battistini A, Catani F (2014). “Rapid assessment of flood susceptibility in urbanized rivers using digital terrain data: application to the Arno river case study (Firenze, northern Italy)”. Appl. Geogr. 54: 35–53.
Morgan RPC (2005). Soil Erosion and Conservation. Oxford: Blackwell Publishing Ltd.
Prime T, Brown JM, Plater AJ (2016). “Flood inundation uncertainty: the case of a 0.5% annual 
probability flood event”. Environ. Sci. Policy 59: 1–9.
Schäuble H, Marinoni O, Hinderer M (2008). “A GIS-based method to calculate flow accumulation by considering dams and their specific operation time”. Comput. Geosci. 34(6): 635–646.
Shaban A, Khawlie M, Abdallah C (2006). “Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon”. Journal of Hydrogeology. 14(4): 433–443.
Svoboda A (1991). “Changes in flood regime by use of the modified curve number method”. Hydrol. Sci. J. 36(5): 461–470.
Thieken AH, Kreibich H, Müller M, Merz B (2007). “Coping with floods: preparedness, response and recovery of flood-affected residents in Germany in 2002”. Hydrol. Sci. J. 52: 1016–1037.
Van Der Veen A, Logtmeijer C (2005). “Economic hotspots: visualizing vulnerability to flooding”. Nat. Hazards 36 (1–2): 65–80.
Wang Y, Zhongwu L, Zhenghong T, Guangming Z (2011). “A GIS-based spatial multi-criteria approach for flood risk assessment in the Dongting Lake Region, Hunan, Central China”. Water Resour. Manag. 25 (13): 3465–3484.
Yahaya S, Ahmad N, Abdalla RF (2010). “Multicriteria analysis for flood vulnerable areas in Hadejia-Jama’are River basin, Nigeria”. Eur. J. Sci. Res. 42(1): 71–83.
Zerger A (2002). “Examining GIS decision utility for natural hazard risk modeling”. Environ. Model. Software. 17(3): 287–294.