Application of fuzzy systems to support the development of a socioenvironmental sustainability index applied to river basins

References

• Abeje, M. T., Tsunekawa, A., Haregeweyn, N., Ayalew, Z., Nigussie, Z., Berihun, D., Adgo, E., & Elias, A. (2020). Multidimensional poverty and inequality: Insights from the Upper Blue Nile Basin, Ethiopia. Social Indicators Research [online], 149(2), 585–611. https://doi.org/10.1007/s11205-019-02257-y
   Web of Science ®Google Scholar
• Akgun, A., Sezer, E. A., Nefeslioglu, H. A., Gokceoglu, C., & Pradhan, B. (2012). An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Computers & Geosciences [online], 38(1), 23–34. https://doi.org/10.1016/j.cageo.2011.04.012
   Web of Science ®Google Scholar
• Brasil. Lei n. 9.433, de 8 de janeiro de. (1997, January 9). Institui a Política Nacional de Recursos Hídricos. Diário Oficial da União, Poder Executivo. https://governo-ba.jusbrasil.com.br/legislacao/85396/lei-9433-05.
   Google Scholar
• Brasil. Lei n. 10.406, 10 de janeiro de. (2002, January 11). Código Civil. Diário Oficial da União, Poder Executivo. https://presrepublica.jusbrasil.com.br/legislacao/91577/codigo-civil-lei-10406-02.
   Google Scholar
• Castro, M., Ameray, A., & Castro, J. (2020). A new approach to quantify grazing pressure under mediterranean pastoral systems using GIS and remote sensing. International Journal of Remote Sensing [online], 41(14), 5371–5387. https://doi.org/10.1080/01431161.2020.1731930
   Web of Science ®Google Scholar
• Chaves, H. M. L., & Alipaz, S. (2007). An integrated indicator based on basin hydrology, environment, life, and policy: The watershed sustainability index. Water Resources Management [online], 21(5), https://doi.org/10.1007/s11269-006-9107-2
   Google Scholar
• Cuervo-Osorio, V. D., Ruiz-Rosado, O., Vargas-Villamil, L., García-Pérez, E., Gallardo-López, F., & Díaz-Rivera, P. (2020). Methodological frameworks for the evaluation of agricultural sustainability at watershed level: A review. Tropical and Subtropical Agroecosystems [online], 23(1). http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v23i1.3118.
   Google Scholar
• Cutter, S. L., Boruff, B. J., & Shirley, W. L. (2003). Social vulnerability to environmental hazards. Social Science Quarterly, 84(2), 242–261. https://doi.org/10.1111/1540-6237.8402002
   Web of Science ®Google Scholar
• dos Santos, A. R., Araújo, E. F., Barros, Q. S., Fernandes, M. M., de Moura Fernandes, M. R., Moreira, T. R., de Souza, K. B., da Silva, E. F., Silva, J. P. M., Santos, J. S., Billo, D., Silva, R. F., Nascimento, G. S. P., da Silva Gandine, S. M., Pinheiro, A. A., Ribeiro, W. R., Gonçalves, M. S., da Silva, S. F., Senhorelo, A. P., … de AlmeidaTelles, L. A. (2020). Fuzzy concept applied in determining potential forest fragments for deployment of a network of ecological corridors in the Brazilian Atlantic Forest. Ecological Indicators [online], 115, 106423. https://doi.org/10.1016/j.ecolind.2020.106423
   Web of Science ®Google Scholar
• Elwood, S., & Ghose, R. (2001). PPGIS in community development planning: Framing the organizational context. Cartographica [online], 38(3–4), 19–33. https://doi.org/10.3138/R411-50G8-1777-2120
   Google Scholar
• Environmental Systems Research Institute. (2012). ArcGIS Version 10.1. Redlands: ESRI.
   Google Scholar
• Faryadi, S., & Taheri, S. (2009). Interconnections of urban Green spaces and environmental quality of Tehran. International Journal of Environmental Research [online], 3(2), https://doi.org/10.22059/IJER.2009.60
   Google Scholar
• Forouzani, M., & Karami, E. (2011). Agricultural water poverty index and sustainability. Agronomy for Sustainable Development [online], 31(2), 415–431. https://doi.org/10.1051/agro/2010026
   Web of Science ®Google Scholar
• Fundação Sistema Estadual de Análise de Dados (SEADE). (2017). Informação dos Municípios Paulistas (IMP). http://www.imp.seade.gov.br/frontend/#/.
   Google Scholar
• Gheshlaghi, H. A., Feizizadeh, B., & Blaschke, T. (2019). GIS-based forest fire risk mapping using the analytical network process and fuzzy logic. Journal of Environmental Planning and Management, 63(3), 1–19. https://doi.org/10.1080/09640568.2019.1594726
   Web of Science ®Google Scholar
• Ghosh, A., & Kar, S. K. (2018). Application of analytical hierarchy process (AHP) for flood risk assessment: A case study in Malda district of west Bengal, India. Natural Hazards [online], 94(1), 349–368. https://doi.org/10.1007/s11069-018-3392-y
   Web of Science ®Google Scholar
• Grandzol, J. R. (2005). Improving the faculty selection process in higher education: A case for the analytic hierarchy process. IR Applications [online], 6(24). https://eric.ed.gov/?id=ED504373.
   Google Scholar
• Grau-Pujol, B., Sacoor, C., Nhabomba, A., Casellas, A., Quintó, L., Subirà, C., Giné, R., Valentín, A., & Muñoz, J. (2017). Water supply and sanitation conditions in rural Southern Mozambique and its association with morbidity and mortality indicators, 2012–2015. BMJ Global Health [online], 2(2), A59.3–A5A60. https://doi.org/10.1136/bmjgh-2016-000260.159
   Google Scholar
• Guimarães, L. T., & Magrini, A. (2008). A proposal of indicators for sustainable development in the management of river basins. Water Resources Management [online], 22(9), 1191–1202. https://doi.org/10.1007/s11269-007-9220-x
   Web of Science ®Google Scholar
• Hawken, P. (2010). The ecology of commerce: A declaration of sustainability. Harper Business.
   Google Scholar
• Hummell, B. M. L., Cutter, S. L., & Emrich, C. T. (2016). Social vulnerability to natural hazards in Brazil. International Journal of Disaster Risk Science, 7(2), 111–122. https://doi.org/10.1007/s13753-016-0090-9
   Web of Science ®Google Scholar
• Ilanloo, M. (2011). A comparative study of fuzzy logic approach for landslide susceptibility mapping using GIS: An experience of Karaj dam basin in Iran. Procedia Social and Behavioral Sciences, 19, 668–676. https://doi.org/10.1016/j.sbspro.2011.05.184
   Google Scholar
• Instituto Brasileiro de Geografia e Estatística (IBGE). (2012). Base Estatcart de Informações do Censo Demográfico 2010: Resultados do Universo por Setor Censitário. https://loja.ibge.gov.br/base-estatcart-de-informacoes-do-censo-demografico-2010-deslocamento-educac-o-trabalho-e-rendimento.html
   Google Scholar
• Instituto Brasileiro de Geografia e Estatística (IBGE). (2013). Manual Técnico de Uso da Terra. https://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?id=281615&view=detalhes
   Google Scholar
• Ishchenko, V., & Vasylkivskyi, I. (2020). Environmental pollution with heavy metals: Case study of the household waste. In G. Królczyk, M. Wzorek, A. Król, O. Kochan, J. Su, & J. Kacprzyk (Eds.), Sustainable production: Novel trends in energy, environment and material systems, 198 (pp. 161–175). Springer. https://doi.org/10.1007/978-3-030-11274-5_11
   Google Scholar
• Kim, H. J., Cho, K., Kim, Y., Park, H., Lee, J. W., Kim, S. J., & Chae, Y. (2020). Spatial assessment of water-use vulnerability under future climate and socioeconomic scenarios within a River Basin. Journal of Water Resources Planning and Management [online], 146(7), 05020011. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001235
   Web of Science ®Google Scholar
• Kwan, M. P. (2000). Human extensibility and individual hybrid-accessibility in space-time: A multi-scale representation using GIS. In D. G. Janelle, & D. C. Hodge (Eds.), Information, place, and cyberspace. Advances in spatial science. Springer. https://doi.org/10.1007/978-3-662-04027-0_14
   Google Scholar
• Kwan, M. P. (2007). Hybrid GIS and cultural economic geography. In A. Tickell, E. Sheppard, J. Peck, & T. Barnes (Eds.), Politics and practice in economic geography (pp. 165–175). Sage.
   Google Scholar
• Kwan, M. P., & Ding, G. (2008). Geo-narrative: Extending geographic information systems for narrative analysis in qualitative and mixed-method research. The Professional Geographer [online], 60(4), 443–465. https://doi.org/10.1080/00330120802211752
   Web of Science ®Google Scholar
• Kwan, M. P., & Lee, J. (2004). Geovisualization of human activity patterns using 3D GIS: A time-geographic approach. In M. F. Goodchild & D. G. Janelle (Eds.), Spatially integrated social science (pp. 721–744). Oxford University Press.
   Google Scholar
• Li, C., Cai, Y., & Qian, J. (2018). A multi-stage fuzzy stochastic programming method for water resources management with the consideration of ecological water demand. Ecological Indicators [online], 95(1), 930–938. https://doi.org/10.1016/j.ecolind.2018.07.029
   Google Scholar
• Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems (p. 477). John Wiley & Sons.
   Google Scholar
• Lourenço, R. W., Silva, D. C. C., Martins, A. C. G., Sales, J. C. A., Roveda, S. R. M. M., & Roveda, J. A. F. (2015). Use of fuzzy systems in the elaboration of an anthropic pressure indicator to evaluate the remaining forest fragments. Environmental Earth Sciences [online], 74(3), 2481–2488. https://doi.org/10.1007/s12665-015-4253-6
   Web of Science ®Google Scholar
• Lyu, H. M., Shen, S. L., Zhou, A. N., & Zhou, W. H. (2019). Flood risk assessment of metro systems in a subsiding environment using the interval FAHP-FCA approach. Sustainable Cities and Society [online], 50. https://doi.org/10.1016/j.scs.2019.101682
   Google Scholar
• Mamdani, E. H. (1974). Application of fuzzy algorithms for control of simple dynamic plant. Proceedings of the IEE Control and Science [online], 121(12), 1585. https://doi.org/10.1049/piee.1974.0328
   Web of Science ®Google Scholar
• Mathworks. (2014). MathWorks, Fuzzy Logic Toolbox ™ user’s guide. © Copyright 1995–2014 de The MathWorks Inc
   Google Scholar
• Melo, D. S., Gontijo, E. S. J., Frascareli, D., Simonetti, V. C., Machado, L. S., Barth, J. A. C., Moschini-Carlos, V., Pompêo, M. L., Rosa, A. H., & Friese, K. (2019). Self-organizing maps for evaluation of biogeochemical processes and temporal variations in water quality of subtropical reservoirs. Water Resources Research [online], 55(12), 10268–10281. https://doi.org/10.1029/2019WR025991
   Web of Science ®Google Scholar
• Novotný, J., Hasman, J., & Lepič, M. (2018). Contextual factors and motivations affecting rural community sanitation in low-and middle-income countries: A systematic review. International Journal of Hygiene and Environmental Health [online], 221(2), 121–133. https://doi.org/10.1016/j.ijheh.2017.10.018
   PubMed Web of Science ®Google Scholar
• Palop-Donat, C., Paredes-Arquiola, J., Solera, A., & Andreu, J. (2020). Comparing performance indicators to characterize the water supply to the demands of the Guadiana River basin (Spain). Hydrological Sciences Journal [online], 65(7), 1060–1074. https://doi.org/10.1080/02626667.2020.1734812
   Web of Science ®Google Scholar
• Pavlovskaya, M. E. (2002). Mapping urban change and changing GIS: Other views of economic restructuring. Gender, Place and Culture [online], 9(3), 281–289. https://doi.org/10.1080/0966369022000003897
   Google Scholar
• Rabby, Y. W., Hossain, M. B., & Hasan, M. U. (2019) Social vulnerability in the coastal region of Bangladesh: An investigation of social vulnerability index and scalar change effects. International Journal of Disaster Risk Reduction, 41, 101329. https://doi.org/10.1016/j.ijdrr.2019.101329
   Web of Science ®Google Scholar
• Ren, F., & Kwan, M. P. (2007). Geovisualization of human hybrid activity-travel patterns. Transactions in GIS [online], 11(5), 721–744. https://doi.org/10.1111/j.1467-9671.2007.01069.x
   Google Scholar
• Rosu, L. I., & Oişte, A.-M. (2013). Defining critical areas through dispersion and density of vegetation index in relation to population. Study case: Iaşi City. Present Environment and Sustainable Development [online], 7(2), 193–204. http://pesd.ro/articole/nr.7/PESDVOL7NR22013/16DCATDADOVIIRTPSCIC17102013193204.pdf
   Google Scholar
• Saaty, T. L. (1991). Hierarchical analysis method (p. 367). McGraw-Hill Publisher.
   Google Scholar
• Sales, J., Silva, D. C. C., Bitar, O. Y., & Lourenço, R. W. (2019). Proposal of methodology for spatial analysis applied to human development index in water basins. Geojournal [online], 84, 3, 813–828. https://doi.org/10.1007/s10708-018-9894-z
   Web of Science ®Google Scholar
• Silva, D. C. C., Albuquerque Filho, J. L., Oliveira, R. A., & Lourenço, R. W. (2017). Methodology for potential degradation analysis of water resources in watershed. Caderno de Geografia [online], 27(50), 455. https://doi.org/10.5752/p.2318-2962.2017v27n50p455
   Google Scholar
• Silva, D. C. C., Albuquerque Filho, J. L., Sales, J. C. A., & Lourenço, R. W. (2016). Uso de indicadores morfométricos como ferramentas para avaliação de bacias hidrográficas. Revista Brasileira de Geografia Física [online], 9(2). https://doi.org/10.5935/1984-2295.20160043
   Google Scholar
• Silva, D. M., Grandine, G., Simonetti, V. C., & Silva, D. C. C. (2018). Análise espacial da cobertura vegetal no centro urbano do município de Salto de Pirapora (SP). Caminhos de Geografia [online], 19(68), https://doi.org/10.14393/RCG196824
   Google Scholar
• Simonetti, V. C., Frascareli, D., Gontijo, E. S. J., Melo, D. S., Friese, K., Silva, D. C. C., & Rosa, A. H. (2019). Water quality indices as a tool for evaluating water quality and effects of land use in a tropical catchment. International Journal of River Basin Management [online], 17. https://doi.org/10.1080/15715124.2019.1672706
   Google Scholar
• Sistema Nacional de Informações Sobre Saneamento (SNIS). (2013). Série Histórica. http://app.cidades.gov.br/serieHistorica/#.
   Google Scholar
• Tehrany, M. S., Pradhan, B., & Jebuv, M. N. (2014). A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery. Geocarto International [online], 29(4), 351–369. https://doi.org/10.1080/10106049.2013.768300
   Web of Science ®Google Scholar
• Thaker, S., & Nagori, V. (2018). Analysis of fuzzification process in fuzzy expert system. Procedia Computer Science [online], 132, 1308–1316. https://doi.org/10.1016/j.procs.2018.05.047
   Google Scholar
• United Nations (UN). (2020). Transforming our world: The 2030. Agenda for sustainable development. https://sustainabledevelopment.un.org/post2015/transformingourworld.
   Google Scholar
• United Nations Development Programme (UNDP). (2014). Human development report 2014. Sustaining human progress: Reducing vulnerabilities and building resilience. UNDP.
   Google Scholar
• Vedovato, M. A., Lourenço, R. W., & Donalisio, M. R. (2011). Análise espacial da mortalidade infantil e suas relações sócio-ambientais na área urbana de Rio Claro, SP, BR. Sociedade & Natureza [online], 23(3), 435–451. https://doi.org/10.1590/S1982-45132011000300006
   Google Scholar
• Vijith, H., & Dodge-Wan, D. (2019). Modelling terrain erosion susceptibility of logged and regenerated forested region in northern Borneo through the Analytical Hierarchy Process (AHP) and GIS techniques. Geoenviron Disasters [online], 6(8). https://doi.org/10.1186/s40677-019-0124-x
   Google Scholar
• Wu, X., & Hu, F. (2020). Analysis of ecological carrying capacity using a fuzzy comprehensive evaluation method. Ecological Indicators [online], 113, 106243. https://doi.org/10.1016/j.ecolind.2020.106243
   Web of Science ®Google Scholar
• Zare, F., Elsawah, S., Bagheri, A., Nabavi, E., & Jakeman, A. J. (2019). Improved integrated water resource modelling by combining DPSIR and system dynamics conceptual modelling techniques. Journal of Environmental Management [online], 246, 27–41. https://doi.org/10.1016/j.jenvman.2019.05.033
   PubMed Web of Science ®Google Scholar
• Zhang, Z. (2016). Environmental data analysis: Methods and aplications. DeGruuter.
   Google Scholar