Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India

Sk Ajim Ali1, Rumana Khatun1, Ateeque Ahmad1, Sameer Ahmad1
1Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool—a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440–41:75–89

Ali SA, Ahmad A (2018) Using analytic hierarchy process with GIS for dengue risk mapping in Kolkata Municipal Corporation, West Bengal, India. Spat Inf Res 26(4):449–469. https://doi.org/10.1007/s41324-018-0187-x

Ali SA, Ahmad A (2019) Mapping of mosquito-borne diseases in Kolkata municipal corporation using GIS and AHP based decision making approach. Spat Inf Res. https://doi.org/10.1007/s41324-019-00242-8

Alvarado-Aguilar D, Jiménez JA, Nicholls RJ (2012) Flood hazard and damage assessment in the Ebro Delta (NW Mediterranean) to relative sea level rise. Nat Hazards 62:1301–1321

Aniya M (1985) Landslide-susceptibility mapping in the Amahata river basin, Japan. Ann Assoc Am Geogr 75(1):102–114

Billa L, Shattri M, Mahmud AR, Ghazali AH (2006) Comprehensive planning and the role of SDSS in flood disaster management in Malaysia. Disaster Prev Manag 15:233–240

Booij MJ (2005) Impact of climate change on river flooding assessed with different spatial model resolutions. J Hydrol 303:176–198

Bunruamkaewa K, Murayamaa Y (2011) Site suitability evaluation for ecotourism using GIS & AHP: a case study of Surat Thani Province, Thailand. Proc Soc Behav Sci 21:269–278. https://doi.org/10.1016/j.sbspro.2011.07.024

Chen Y, Yua J, Khan S (2010) Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environ Model Softw 25:1582–1591. https://doi.org/10.1016/j.envsoft.2010.06.001

Chung CF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazard 30:451–472

Cloke H, Pappenberger F (2009) Ensemble flood forecasting: a review. J Hydrol 375(3):613–626

Danda AA (ed) (2010) Sundarbans: future imperfect climate adaptation report. WWF-India, Kolkata

Dang NM, Babel MS, Luong HT (2011) Evaluation of food risk parameters in the day river flood diversion area, Red river delta, Vietnam. Nat Hazards 56:169–194

Eskandari M, Homaee M, Falamaki A (2016) Landfill site selection for municipal solid wastes in mountainous areas with landslide susceptibility. Environ Sci Pollut Res 23(12):12423–12434. https://doi.org/10.1007/s11356-016-6459-x

Esteves LS (2013) Consequences to flood management of using different probability distributions to estimate extreme rainfall. J Environ Manag 115:98–105

Feng CC, Wang YC (2011) GIS science research challenges for emergency management in southeast Asia. Nat Hazards 59:597–616

Fernandez DS, Lutz MA (2010) Urban flood hazard zoning in Tucuman Province, Argentina, using GIS and multicriteria decision analysis. Eng Geol 111:90–98

Ghosh A, Schmidt S, Fickert T, Nusser M (2015) The Indian Sundarban Mangrove forests: history, utilization, Conservation Strategies and Local Perception. Diversity 7(2):149–169. https://doi.org/10.3390/d7020149

Glenn E, Morino K, Nagler P, Murray R, Pearlstein S, Hultine K (2012) Roles of salt cedar (Tamarix spp.) and capillary rise in salinizing a non-flooding terrace on a flow-regulated desert river. J Arid Environ 79:56–65

Guler D, omralıoglu T (2017) Alternative suitable landfill site selection using analytic hierarchy process and geographic information systems: a case study in Istanbul. Environ Earth Sci 76:678. https://doi.org/10.1007/s12665-017-7039-1

Haghizadeh A, Siahkamari S, Haghiabi AH, Rahmati O (2017) Forecasting flood-prone areas using Shannon’s entropy model. J Earth Syst Sci 126:39. https://doi.org/10.1007/s12040-017-0819-x

Haq M, Akhtar M, Muhammad S, Paras S, Rahmatullah J (2012) Techniques of remote sensing and GIS for flood monitoring and damage assessment: a case study of Sindh province, Pakistan. Egypt J Remote Sens Space Sci 15(2):135–141. https://doi.org/10.1016/j.ejrs.2012.07.002

Hazra S, Ghosh T, DasGupta R, Sen G (2002) Sea level and associated changes in the Sundarbans. Sci Cult 68:309–321

Huang X, Tan H, Zhou J, Yang T, Benjamin A, Wen SW, Li S, Liu A, Li X, Fen S, Li X (2008) Flood hazard in Hunan Province of China: an economic loss analysis. Nat Hazards 47:65–73

Kay S, Caesar J, Wolf J, Bricheno L, Nicholls RJ, Islam AS, Lowe JA (2015) Modelling the increased frequency of extreme sea levels in the Ganges–Brahmaputra–Meghna delta due to sea level rise and other effects of climate change. Environ Sci Process Impacts 17:1311–1322

Khosravi K, Nohani E, Maroufinia E, Pourghasemi HR (2016) A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique. Nat Hazards 1:2. https://doi.org/10.1007/s11069-016-2357-2

Kia MB, Pirasteh S, Pradhan B, Rodzi MA, Sulaiman WNA, Moradi A (2012) An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environ Earth Sci 67:251–264

Lee MJ, Kang JE, Jeon S (2012a) Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. Geoscience and Remote Sensing Symposium (IGARSS), Munich; 895–898

Markantonis V, Meyer V, Lienhoop N (2013) Evaluation of the environmental impacts of extreme floods in the Evros river basin using contingent valuation method. Nat Hazards 69:1535–1549

Messner F, Meyer V (2006) Flood damage, vulnerability and risk perception-challenges for flood damage research. Springer, Amsterdam, pp 149–167

Minea G (2013) Assessment of the flash flood potential of Basca river catchment (Romania) based on physiographic factors. Cent Eur J Geosci 5:344–353

Mishra K (2013) Geomorphological studies and flood risk assessment of Kosi river basin using remote sensing and GIS techniques. 57. www.iirs.gov.in . Accessed 13 Dec 2018

Moel HD, Vliet MV, Aerts JCJH (2014) Evaluating the effect of flood damage-reducing measures: a case study of the unembanked area of Rotterdam, the Netherlands. Reg Environ Change 14(895):908. https://doi.org/10.1007/s10113-013-0420-z

Mondal S, Maiti R (2013) Integrating the analytical hierarchy process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed Darjeeling Himalaya. Int J Disaster Risk Sci 4(4):200–212. https://doi.org/10.1007/s13753-013-0021-y

Montenegroa LV, Baviera-Puig A, García-Álvarez-Coquec JM (2014) Multi-criteria methodology: AHP and Fuzzy logic in the selection of post-harvest technology for smallholder Cocoa production. Int Food Agribus Manag Rev 17(2):107–124

Naghadehi MZ, Mikaeil R, Ataei M (2009) The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Syst Appl 36:8218–8226. https://doi.org/10.1016/j.eswa.2008.10.006

Ohlmacher GC, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas. Eng Geol 69:331–343

Pal B, Samanta S (2011) Surface runoff estimation and mapping using remote sensing and geographic information system. Int J Adv Sci Technol 3(2):106–114

Patil VD, Sankhua RN, Jain RK (2012) Analytic hierarchy process for evaluation of environmental factors for residential land use suitability. Int J Comput Eng Res 2(7):182–189

Permana AR, Hadiani RS (2017) A Fuzzy analytical hierarchy process approach in irrigation networks maintenance. IOP Conf Ser J Phys 909:012070. https://doi.org/10.1088/1742-6596/909/1/012070

Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63(2):965–996

Pourtaghi ZS, Pourghasemi HR (2015) GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran. Hydrogeol J 22:643–662

Poussin JK, Botzen WJW, Aerts JCJH (2014) Factors of influence on flood damage mitigation behavior by households. Environ Sci Policy 40:69–77

Pradhan B (2010) Flood susceptible mapping and risk area estimation using logistic regression, GIS and remote sensing. J Spat Hydrol 9:1–18

Pradhan B, Youssef AM (2010) Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models. Arab J Geosci 3:319–326

Pradhan B, Oh HJ, Buchroithner M (2010) Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area. Geomat Nat Hazards Risk 1(3):199–223. https://doi.org/10.1080/19475705.2010.498151

Rahmati O, Haghizadeh A, Stefanidis S (2016a) Assessing the accuracy of GIS-based analytical hierarchy process for watershed prioritization; Gorganrood River Basin. Iran. Water Resour Manag 30(3):1131–1150

Rahmati O, Haghizadeh A, Pourghasemi HR, Noormohamadi F (2016b) Gully erosion susceptibility mapping: The role of GIS-based bivariate statistical models and their comparison. Nat Hazards 82(2):1231–1258

Rattan L (1990) Soil erosion in the tropics: Principles and management. McGraw-Hill Inc, New York, USA

Rikalovic A, Cosic I, Lazarevic D (2014) GIS based multi-criteria analysis for industrial site selection. Proc Eng 69:1054–1063. https://doi.org/10.1016/j.proeng.2014.03.090

Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281

Saaty TL (1980) The analytical hierarchy process. McGraw Hill, New York

Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26

Saaty TL, Vargas LG (2000) Models, methods, concepts and applications of the analytic hierarchy process. Kluwer Academic, Boston

Samanta S, Pal DK, Lohar D, Pal B (2012) Interpolation of climate variables and temperature modeling. Theor Appl Climatol 107(1):35–45. https://doi.org/10.1007/s00704-011-0455-3

Samanta S, Pal DK, Palsamanta B (2018) Flood susceptibility analysis through remote sensing, GIS and frequency ratio model. Appl Water Sci 8:66. https://doi.org/10.1007/s13201-018-0710-1

Sánchez-Triana E, Paul T, Ortolano L, Ruitenbeek J (2014) Building resilience for sustainable development for the West Bengal Sundarbans—Strategy report (Report No. 88061-IN). Washington, DC: World Bank. Retrieved March 6, 2019, from http://documents.worldbank.org/curated/en/2014/01/20162806/building-resilience-sustainable-development-sundarbans-strategy-report

Sánchez-Triana E, Ortolano L, Paul T (2018) Managing water-related risks in the West Bengal Sundarbans: policy alternatives and institutions. Int J Water Resour Dev 34(1):78–96. https://doi.org/10.1080/07900627.2016.1202099

Schober B, Hauer C, Habersack H (2015) A novel assessment of the role of Danube floodplains in flood hazard reduction (FEM method). Nat Hazards 75:33–50

Shafapour Tehrani M, Pradhan B, Neamah Jebur M (2013) Spatial prediction of flood susceptible areasusing rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–79. https://doi.org/10.1016/j.jhydrol.2013.09.034

Tavares G, Zsigraiova Z, Semiao V (2011) Multi-criteria GIS-based siting of an incineration plant for municipal solid waste. Waste Manag 31(9–10):1960–1972. https://doi.org/10.1016/j.wasman.2011.04.013

Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–79

Tehrany MS, Lee MJ, Pradhan B, Jebur MN, Lee S (2014) Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ Earth Sci 72:4001–4015

Tehrany MS, Pradhan B, Jebur MN (2015a) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess 29:1149–1165. https://doi.org/10.1007/s00477-015-1021-9

Tehrany MS, Pradhan B, Jebur MN (2015b) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess 29:1149–1165

Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB (2012) Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput Geosci 45:199–211

Tunusluoglu M, Gokceoglu C, Nefeslioglu H, Sonmez H (2008) Extraction of potential debris source areas by logistic regression technique: a case study from Barla, Besparmak and Kapi mountains (NW Taurids, Turkey). Environ Geol 54:9–22

Xu C, Chen Y, Chen Y, Zhao R, Ding H (2013) Responses of surface runoff to climate change and human activities in the arid region of Central Asia: a case study in the Tarim River Basin, China. Environ Manag 51:926–938

Yang YCE, Ray PA, Brown CM, Khalil AF, Yu WH (2015) Estimation of flood damage functions for river basin planning: a case study in Bangladesh. Nat Hazards 75:2773–2791

Yodmani S (2001) Disaster risk management and vulnerability reduction: protecting the poor. Asia and Pacific Forum for Poverty: reforming policies and institutions for poverty reduction Manila: Asian Development Bank

Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Sci 62:611–623

Yu JJ, Qin XS, Larsen O (2013) Joint Monte Carlo and possibilistic simulation for flood damage assessment. Stoch Environ Res Risk Assess 27(3):725–735. https://doi.org/10.1007/s00477-012-0635-4

Zou Q, Zhou J, Zhou C, Song L, Guo J (2013) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Environ Res Risk Assess 27(2):525–546