Flood susceptibility in rural settlements in remote zones: The case of a mountainous basin in the Sierra-Costa region of Michoacán, Mexico.

Maps of natural hazards are essential for the prevention or mitigation of disasters. The Nexpa River mountainous basin is in the Sierra-Costa region of the state of Michoacán, Mexico. The dispersed rural settlements in the basin, accessed through a network of mainly minor roads and tracks, are highly vulnerable in cases of catastrophic hydrometeorological events. Our study aimed to map flood zones and assess flood susceptibility in the basin on the basis of geopedology, topography, land cover and land use, to assess the vulnerability of local rural settlements and their network of roads and tracks. The land morphology was mapped and the weighted overlay technique was applied in a geographic information system to generate maps of susceptibility to flooding. Our results showed that 13% of settlements and 7% of the communication network are within flood zones. Maps based on environmental factors showed low to medium susceptibility to flooding. These methods are useful and effective for zones with little or no hydrometeorological information, and they can provide a robust source of information for decision makers regarding land planning to mitigate flood vulnerability.

[1]  Paul D. Bates,et al.  Measuring and Mapping Flood Processes , 2015 .

[2]  Ranya Fadlalla Abdalla Elsheikh,et al.  Flood Risk Map Based on GIS, and Multi Criteria Techniques (Case Study Terengganu Malaysia) , 2015 .

[3]  J. Neal,et al.  Modelling of flood hazard extent in data sparse areas: a case study of the Oti River basin, West Africa , 2017 .

[4]  Proceso L. Fernandez,et al.  Analytic Hierarchy Process (AHP) in Spatial Modeling for Floodplain Risk Assessment , 2014 .

[5]  Y. Hong,et al.  Characterization of floods in the United States , 2014 .

[6]  Charles J Mayfield Automating the Classification of Thematic Rasters for Weighted Overlay Analysis in GeoPlanner for ArcGIS , 2015 .

[7]  Omid Rahmati,et al.  Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis , 2016 .

[8]  Yang Hong,et al.  A digitized global flood inventory (1998–2008): compilation and preliminary results , 2010 .

[9]  Manuel E. Mendoza,et al.  Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research , 2002 .

[10]  Konstantine P. Georgakakos,et al.  The character and causes of flash flood occurrence changes in mountainous small basins of Southern California under projected climatic change , 2015 .

[11]  L. Perucca,et al.  Morphometric characterization of del Molle Basin applied to the evaluation of flash floods hazard, Iglesia Department, San Juan, Argentina , 2011 .

[12]  M. Stoffel,et al.  Floods in mountain environments: A synthesis , 2016 .

[13]  Valentina Gallina,et al.  A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment. , 2016, Journal of environmental management.

[14]  J. Pittock,et al.  Living with floods: key lessons from Australia and abroad , 2013 .

[15]  I. Alcántara-Ayala Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries , 2002 .

[16]  John E. Costa,et al.  Hydraulics and basin morphometry of the largest flash floods in the conterminous United States , 1987 .

[17]  Jan Cools,et al.  Lessons from flood early warning systems , 2016 .

[18]  M. M. Abreu,et al.  The land morphology approach to flood risk mapping: An application to Portugal. , 2017, Journal of environmental management.

[19]  Anthony J. Jakeman,et al.  Flood inundation modelling: A review of methods, recent advances and uncertainty analysis , 2017, Environ. Model. Softw..

[20]  R. Capitão,et al.  An index-based method for coastal-flood risk assessment in low-lying areas (Costa de Caparica, Portugal) , 2017 .

[21]  D. Fernández,et al.  Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis , 2010 .

[22]  G. Bocco,et al.  Vulnerable and Invisible: Impact of Hurricane Activity on a Peasant Population in a Mountainous Region on the Mexican Pacific Coast , 2015 .

[23]  K. Douben,et al.  Characteristics of river floods and flooding: a global overview, 1985–2003 , 2006 .

[24]  Bayes Ahmed,et al.  Landslide susceptibility modelling applying user-defined weighting and data-driven statistical techniques in Cox’s Bazar Municipality, Bangladesh , 2015, Natural Hazards.

[25]  Iwan K. Hadihardaja,et al.  Identification of flash flood hazard zones in mountainous small watershed of Aceh Besar Regency, Aceh Province, Indonesia , 2016 .

[26]  Biswajeet Pradhan,et al.  Suitability estimation for urban development using multi-hazard assessment map. , 2017, The Science of the total environment.

[27]  R. Jacinto,et al.  Continental Portuguese Territory Flood Susceptibility Index – contribution to a vulnerability index , 2014 .

[28]  Eric Tate,et al.  Social vulnerability to floods: Review of case studies and implications for measurement , 2015 .

[29]  Lewis,et al.  Guide to Permeability Indices , 2006 .

[30]  Dagmar Haase,et al.  Towards a flood risk assessment ontology - Knowledge integration into a multi-criteria risk assessment approach , 2013, Comput. Environ. Urban Syst..

[31]  B. Lamptey,et al.  Flood disaster risk mapping in the Lower Mono River Basin in Togo, West Africa , 2017 .

[32]  May Yuan,et al.  Geospatial risk assessment of flash floods in Nuweiba area, Egypt , 2016 .

[33]  Teun Terpstra,et al.  Perception and Communication of Flood Risks: A Systematic Review of Empirical Research , 2013, Risk analysis : an official publication of the Society for Risk Analysis.