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Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil

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Abstract

Although climate change vulnerability research in general has increased over the last decade, Latin American countries have more directed more limited efforts toward vulnerability and its social aspects. To respond to this gap, the authors developed a method to quantify drought vulnerability, which is key climate risk in Brazil. The iSECA model uses MCDM techniques to calculate vulnerability indexes by applying weighting schemes to indicators that represent climatological, social, economic, and water management factors. GIS software was used to classify and to map vulnerability. The model output is a drought vulnerability index, displayed through maps and graphs, including a vulnerability triangle and frequency curves. The results provide a clear understanding for water managers and non-specialists and can serve as an indispensable tool for water management in drought-prone regions. A sensitivity analysis confirms the model's robustness. iSECA was applied to Ceará and São Paulo, two states with distinct climatological and socio-economic contexts. The application demonstrated how the model works well across different spatial scales within these different contexts. The study found that in São Paulo more than 30 million people are living with very high vulnerability to drought primarily due to water management characteristics. However, in Fortaleza, Ceará, the climatic factors are the most critical. Even the state’s robust interbasin water infrastructure system does not significantly reduce the drought risk. The ability to identify vulnerability hotspots and the underlying characteristics that influence the rankings provides the necessary input of policy decisions.

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Fig. 6 Sensitivity analysis: amplitude for a data variation of 20%

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References

  • Abraham JS (2006) Assessing drought vulnerability. Dissertation, University of Arizona

  • Acosta IR, Martínez MJM (2014) Assessment of surface runoff vulnerability to climate change in the Lerma-Chapala basin, Mexico. J Water Resour Plan Manag 140(12):04014042

    Google Scholar 

  • Anandhi A, Kannan N (2018) Vulnerability assessment of water resources—translating a theoretical concept to an operational framework using systems thinking approach in a changing climate: case study in Ogallala Aquifer. J Hydrol 557:460–474

    Google Scholar 

  • Araújo BAM (2012) Water allocation in Ceará: diagnosis and challenges. Dissertation, Federal University of Ceará

  • Asefa T, Clayton J, Adams A, Anderson D (2014) Performance evaluation of a water resources system under varying climatic conditions: reliability, resilience, vulnerability and beyond. J Hydrol 508:53–65

    Google Scholar 

  • Bogard WC (1988) Bringing social theory to hazards research: conditions and consequences of the mitigation of environmental hazards. Sociol Per 31(2):147–168

    Google Scholar 

  • Bohle HG, Downing TE, Watts MJ (1994) Climate change and social vulnerability. Glob Environ Change 4(1):37–48

    Google Scholar 

  • Chanda K, Maity R, Sharma A, Mehrotra R (2014) Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index. Water Reour Res 50:7662–7676

    Google Scholar 

  • Cosgrove WJ, Loucks DP (2015) Water management: current and future challenges and research directions. Water Resour Res 51:4823–4839

    Google Scholar 

  • CRH—Water Resources State Council/CORHI—Water Resources State Plan Committee (2017) São Paulo Water Resources State Plan 2016–2019, São Paulo

  • Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20(4):529–539

    Google Scholar 

  • Dow K (1992) Exploring differences in our common future(s): the meaning of vulnerability to global environmental change. Geoforum 23(3):417–436

    Google Scholar 

  • Eslamian S, Eslamian FA (2017) Handbook of drought and water scarcity: principles of drought and water scarcity. Taylor & Francis Group, London

    Google Scholar 

  • Fontaine MM (2007) Assessing vulnerability to natural hazards: an impact-based method and application to drought in Washington State. Dissertation, University of Washington, p 165

  • Goharian E, Burian SJ, Bardsley T, Strong C (2016) Incorporating potential severity into vulnerability assessment of water supply systems under climate change conditions. J Water Resour Plan Manag 142(2):04015051

    Google Scholar 

  • Hamilton NE, Ferry M (2018) ggtern: ternary diagrams using ggplot2. J Stat Softw 87(3):1–17

    Google Scholar 

  • Hashimoto T, Stedinger JR, Loucks DP (1982) Realiability, resiliency and vulnerability criteria for water resource system performance evaluation. Water Resour Res 18(1):14–20

    Google Scholar 

  • Hewitt K (2013) Environmental disasters in social context: toward a preventive and precautionary approach. Nat Hazards 66(1):3–14

    Google Scholar 

  • Hülle J, Kaspar R, Möller K (2011) Multiple criteria decision-making in management accounting and control—state of the art and research perspectives based on a bibliometric study. J Multi-Criteria Decis Anal 8:253–265

    Google Scholar 

  • INESP—Institute of Studies and Research for the Development of the State of Ceará (2008) Water Pact: Current Scenario of Water Resources in Ceará, Fortaleza, Brazil

  • IPCC (Intergovernmental Panel on Climate Change) (2001) Climate change 2001: impacts, adaptation, and vulnerability. Contribution of working group II to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

  • IPECE—Instute of Economic Research and Strategy of Ceará (2016) Municipal Alert Index: IMA, Fortaleza, Brazil

  • Ishizaka A, Siraj S (2018) Are multi-criteria decision-making tools useful? An experimental comparative study of three methods. Eur J Oper Res 264:462–471

    Google Scholar 

  • Jacobi PR, Cabim J, Leão RS (2015) Water crisis at Paulista macrometropolis and civil society answers. Estud Av 29(84):27–42

    Google Scholar 

  • Kim Y, Chung ES (2013) Assessing climate change vulnerability with group multi-criteria decision making approaches. Clim Change 121:301–315

    Google Scholar 

  • Kumlu KBY, Tudes S (2019) Determination of earthquake-risky areas in Yalova City Center (Marmara region, Turkey) using GIS-based multicriteria decision-making techniques (analytical hierarchy process and technique for order preference by similarity to ideal solution). Nat Hazards 96:999–1018

    Google Scholar 

  • Lemos MC, Lo YJ, Nelson DR, Eakin H, Bedran-Martins AM (2016) Linking development to climate adaptation: leveraging generic and specific capacities to reduce vulnerability to drought in NE Brazil. Glob Environ Change 39:170

    Google Scholar 

  • Lin L, Wu Z, Liang Q (2019) Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework. Nat Hazards 97:455–475

    Google Scholar 

  • Liu X, Wang Y, Peng J, Braimoh A, Yin H (2013) Assessing vulnerability to drought based on exposure, sensitivity and adaptive capacity: a case study in middle Inner Mongolia of China. Chin Geogr Sci 3(1):13–25

    Google Scholar 

  • Martirani LA, Peres IK (2016) Water crisis in São Paulo: news coverage, public reception and the right to information. Ambiente Soc 19(1):1–20

    Google Scholar 

  • Mateus MC, Tullos D (2017) Reliability, sensitivity, and vulnerability of reservoir operations under climate change. J Water Resour Plan Manag 143(4):04016085

    Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration of time scales. In: Eighth conference on applied climatology, American Meteorological Society, Jan 17–23, 1993, Anaheim CA, pp.179–186

  • Mela K, Tiainen T, Heinisuo M (2012) Comparative study of multiple criteria decision-making methods for building design. Adv Eng Inform 26:716–726

    Google Scholar 

  • Montanari A, Young G, Savenije HHG, Hughes D, Wagener T, Ren LL, Koutsoyiannis D, Cudennec C, Toth E, Grimaldi S, Blöschl G, Sivapalan M, Beven K, Gupta H, Hipsey M, Schaefli B, Arheimer B, Boegh E, Schymanski SJ, De Baldassarre G, Yu B, Hubert P, Huang Y, Schumann A, Post DA, Srinivasan V, Harman C, Thompson S, Rogger M, Viglione A, McMillan H, Characklis G, Pang Z, Belyaev V (2013) Panta Rhei—everything flows: change in hydrology and society—the IAHS scientific decade 2013–2022. Hydrol Sci J 58(6):1256–1275

    Google Scholar 

  • Mostafazadeh R, Sadoddin A, Bahremand A, Sheikh VB, Garizi AZ (2017) Scenario analysis of flood control structures using a multi-criteria decision-making technique in Northeast Iran. Nat Hazards 87:1827–1846

    Google Scholar 

  • Nazemi A, Wheater HS, Chun KP, Elshorbagy A (2013) A stochastic reconstruction framework for analysis of water resource system vulnerability to climate-induced changes in river flow regime. Water Resour Res 49:291–305

    Google Scholar 

  • Nelson DR, Finan TJ (2009) Praying for drought: persistent vulnerability and the politics of patronage in Ceará. Northeast Braz Am Anthropol 111(3):302

    Google Scholar 

  • Ozernoy V (1987) A framework for choosing the most appropriate discrete alternative multiple criteria decision-making method in decision support systems and expert systems. Lecture Notes in Economics and Mathematical Systems, pp 56–64.

  • Pienaar GW, Hughes DA (2017) Linking hydrological uncertainty with equitable allocation for water resources decision-making. Water Resour Manag 31:269–282

    Google Scholar 

  • Pryshlak TT, Sawyer AH, Stonedahl SH, Soltanian MR, Al RET (2014) Water demand management in times of drought: what matters for water conservation. Water Resour Res 51:125–139

    Google Scholar 

  • Ramos PA, Marcato Junior J, Decanini MMS, Pugliesi EA, Oliveira RF, Paranhos Filho A (2016) Quantitative and qualitative evaluation of data classification methods for choropleth mapping. Rev Bras Cartogr 68(3):609–629

    Google Scholar 

  • SEDAE—State System of Data Analysis Fundation (2010) Paulista Social Vulnerability Index 2010 edition, São Paulo

  • Sena A, Freitas C, Souza PF, Alpino T, Pedroso M, Corvalan C, Barcellos C, Carneiro F (2018) Drought in the semiarid region of Brazil: exposure, vulnerabilities and health impacts from the perspectives of local actors. PLoS Curr 10

  • Silva SMO, Sousa Filho FA, Aquino SHS (2017) Risk assessment of water allocation on water scarcity period: the case of Jaguaribe-Metropolitan system. Eng Sanit Ambient 22(4):749–760

    Google Scholar 

  • Suárez-Almiñana S, Pedro-Monzonís M, Paredes-Arquiola J, Andreu J, Solera A (2017) Linking Pan-European data to the local scale for decision making for global change and water scarcity within water resources planning and management. Sci Total Environ 603–604:126–213

    Google Scholar 

  • Susman P, O’Keefe P, Wisner B (1983) Global disasters, a radical interpretation. In: Hewitt K (ed) Interpretations of calamity for the viewpoint of human ecology. Allen & Unwin, Boston, pp 263–283

    Google Scholar 

  • Thomas T, Jaiswal RK, Galkate R, Nayak PC, Ghosh NC (2016) Drought indicators-based integrated assessment of drought vulnerability: a case study of Bundelkhand droughts in central India. Nat Hazards 81(3):1627–1652

    Google Scholar 

  • Triantaphyllou E (2000) Multi-criteria decision making methods: a comparative study. Springer, New York

    Google Scholar 

  • Turner BL, Kasperson RE, Matson PA, McCarthy JJ, Corell RW, Christensen L, Eckley N, Kasperson JX, Luers A, Martello ML, Polsky C, Pulsipher A, Schiller A (2003) A framework for vulnerability analysis in sustainability science. PNAS 100(14):8074–8079

    Google Scholar 

  • Vargas J, Paneque P (2017) Methodology for the analysis of causes of drought vulnerability on the River Basin scale. Nat Hazards 89:609–621

    Google Scholar 

  • Veyret Y (2007) Risks: the man as the agressor and victim. Contexto, São Paulo

    Google Scholar 

  • Wang B, Pan SY, Ke RY, Wang K, Wei YM (2014) An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database. Nat Hazards 74:1649–1666

    Google Scholar 

  • Wilhite DA, Sivakumae MVK, Pulwarty R (2014) Managing drought risk in a changing climate: the role of national drought policy. Weather Climate Extremes 3:4–13

    Google Scholar 

  • Zhang C, Xu B, Li Y, Fu G (2017) Exploring the relationships among reliability, resilience, and vulnerability of water supply using many-objective analysis. J Water Resour Plan Manag 143(8):04017044

    Google Scholar 

Download references

Acknowledgements

This study was financed in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico—Brasil (CNPq) and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES) (Grant No. 446222/2015-1).

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Correspondence to Gabriela de Azevedo Reis.

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de Azevedo Reis, G., de Souza Filho, F.A., Nelson, D.R. et al. Development of a drought vulnerability index using MCDM and GIS: study case in São Paulo and Ceará, Brazil. Nat Hazards 104, 1781–1799 (2020). https://doi.org/10.1007/s11069-020-04247-7

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