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The Definition of Areas with Hazard Condition and Areas with Risk Condition in Land Use Planning in Colombia ; Definición de áreas con condición de amenaza y áreas con condición de riesgo en los planes de ordenamiento territorial de los municipios en Colombia

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      Universidad Nacional de Colombia - Sede Bogotá - Instituto de Estudios Ambientales (IDEA)
    • الموضوع:
      2020
    • Collection:
      Universidad Nacional de Colombia: Portal de Revistas UN
    • الموضوع:
      Colombia; Antioquia; Caldas
    • نبذة مختصرة :
      Hazard assessment and zoning is a fundamental tool for land use planning. The main objective is to identify areas with hazard conditions (ACA) which development should be restricted, and areas with risk conditions (ACR) in order to establish the necessary mitigation measures, to incorporate in land use planning. The increasing frequency and losses associated with disasters caused by natural phenomena has indicated the inadequate incorporation of hazard studies in land use planning programs. Colombian legislation (Act 1077/2015) established the specifications and scale of technical studies for the incorporation of risk management in territorial planning, called basic hazard studies and detailed studies. This study presents the definition of areas with a hazard conditions and areas with a risk conditions in the municipality of Caldas, located in the department of Antioquia. The approach proposed is a useful guide for different municipalities because it indicates not only the methodology used, but also the different conflicts that are presented in the procedures, and recommendations for an adequate management. ; La evaluación y zonificación de la amenaza es una herramienta fundamental para la ordenación del territorio. Actualmente tiene importancia como principal producto para los Planes de Ordenamiento Territorial (POT) señalar las áreas con condición de amenaza que deberán supeditar su desarrollo a la realización de los estudios detallados de amenaza, y las áreas con condición de riesgo que requieren igualmente de estudios detallados para establecer las áreas de riesgo no mitigables y las medidas de mitigación necesarias. El aumento en la frecuencia y pérdidas asociadas a desastres por fenómenos de origen natural, refleja la forma inadecuada en la cual se ha incorporado la gestión del riesgo en los ejercicios de ordenación de los territorios en Colombia. La normatividad colombiana (El Decreto 1077/2015) estableció las especificaciones y escalas de los estudios técnicos para la incorporación de la gestión del ...
    • File Description:
      application/pdf
    • Relation:
      https://revistas.unal.edu.co/index.php/gestion/article/view/87129/80515; Alcaldía de Caldas Colombia, 2010. Plan Básico de Ordenamiento Territorial (PBOT): Revisión y ajuste del Plan de Ordenamiento Territorial del municipio de Caldas. Caldas, Colombia.; Alcaldía de Caldas Colombia, 2016. Plan de Desarrollo 2016-2019: Caldas Progresa. Alcalde Carlos Eduardo Durán Franco. 110 p. Caldas, Colombia.; Aleotti, P., Chowdhury, R., 1999. Landslide hazard assessment: summary review and new perspectives. Bull. Eng. Geol. Env. 58(1), 21-44. DOI:10.1007/s100640050066; Área Metropolitana del Valle de Aburrá (AMVA); Universidad Nacional de Colombia (UNAL), 2018. Estudios básicos de amenaza por movimientos en masa, inundaciones y avenidas torrenciales en los municipios de Caldas, La Estrella, Envigado, Itagüí, Bello, Copacabana y Barbosa, para la incorporación de la gestión del riesgo en la planificación territorial. Informe técnico. Medellín, Colombia.; Australian Geomechanics Society (AGS), 2000. Landslide risk management concepts and guidelines. Sub-Committee on Landslide Risk Management, disponible en: https://www.eagcg.org/common/pdf/LRM2000-Concepts.pdf; consultado: Mayo de 2018.; Australian Institute for Disaster Resilience (AIDR), 2002. Planning safer communities: Land use planning for natural hazards. Part II Approaches to Emergency Management, Vol. 2: Mitigation Planning, Manual 1. Commonwealth of Australia, Canberra, Autralia.; Baum, R., Savage, W., Godt, J., 2008. TRIGRS - A fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, v 2.0. Open-File Report 2008-1159. U.S. Geological Survey, DOI:10.3133/ofr20081159; Bladé, E., Cea, L., Corestein, G., Escolano, E., Puertas, J., Vázquez-Cendón, E., Dolz, J., Coll, A., 2014. Iber: herramienta de simulación numérica del flujo en ríos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 30(1), 1-10. DOI:10.1016/j.rimni.2012.07.004; Bryan, J., Tim, D. (Eds.), 2009. Land use planning for natural hazards - Stewardship for the future. Centre for Advanced Engineering-University of Canterbury, Christchurch, Nueva Zelanda.; Caruso, G., 2017. The legacy of natural disasters: The intergenerational impact of 100 years of disasters in Latin America. J. Dev. Econ. 127, 209-233. DOI:10.1016/j.jdeveco.2017.03.007; Changnon, S., Pielke Jr., R., Changnon, D., Sylves, R., Pulwarty, R., 2000. Human factors explain the increased losses from weather and climate extreme. Bull. Am. Meteorol. Soc. 81(3), 437-442. DOI:10.1175/1520-0477(2000)081 0437:HFETIL 2.3.CO;2; Chen, T., Niu, R., Jia, X., 2016. A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS. Environ. Earth Sci. 75(10), 867. DOI:10.1007/s12665-016-5317-y; Congreso de Colombia, 1997. Ley 388, por la cual se modifica la Ley 9ª de 1989, y la Ley 3ª de 1991 y se dictan otras disposiciones. DO 43.091. Bogotá, DC.; Departamento Administrativo de Planeación (DNP), 2018. Índice de Ciudades Modernas de Colombia. Observatorio del sistema de ciudades. Bogotá, D.C.; Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), 2011. Land use planning: Concepts, tools, and applications. Eschborn, Germany.; Douglas, J., 2003. Earthquake ground motion estimation using strong-motion records: a review of equations for the estimation of peak ground acceleration and response spectral ordinates. Earth-Sci. Rev. 61(1-2), 43-104. DOI:10.1016/S0012-8252(02)00112-5; Edwards, D., 2014. Land Use Planning for Climate Change Adaptation in Small Island Caribbean States, In: Annual World Bank Conference on Land and Poverty. World Bank, Washington, DC.; Fell, R., Corominas, J., Bonnard, Ch., Cascini, L., Leroi, E., Savage, W., 2008. Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng. Geol. 102(3-4), 85-98. DOI:10.1016/j.enggeo.2008.03.022; Glavovic, B., Saunders, W., Becker, J., 2010. Realising the potential of land-use planning to reduce hazard risks in New Zealand. Australas. J. Disaster Trauma Stud. 2010(1), 1-14.; Guzzetti, F., Carrara, A., Cardinali, M., Reichenbach, P., 1999. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31(1-4), 181-216. DOI:10.1016/S0169-555X(99)00078-1; Hallegatte, S., Vogt-Schilb, A., Rozenberg, J., Bangalore, M., Beaudet, C., 2020. From poverty to disaster and back: A review of the literature. Economics of Disasters and Climate Change 4, 223-247. DOI:10.1007/s41885-020-00060-5; Hengl, T., 2006. Finding the right pixel size. Comput. Geosci. 32(9), 1283-1298. DOI:10.1016/j.cageo.2005.11.008; Hoppe, P., Pielke Jr., R. (Eds.), 2006. Climate change and disaster losses workshop: Understanding and attributing trends and projections. Hohenkammer, Germany.; Horrit, M., Bates, P., 2002. Evaluation of 1D and 2D numerical models for predicting river flood inundation. J. Hydrol. 268(1-4), 87-99. DOI:10.1016/S0022-1694(02)00121-X; Jibson, R., 2007. Regression models for estimating coseismic landslide displacement. Eng. Geol. 91(2-4): 209-218. DOI:10.1016/j.enggeo.2007.01.013; Jibson, R., Harp, E., Michael, J., 1998. A method for producing digital probabilistic seismic landslide hazard maps: An example from the los Angeles, California, area. Open-File Report 98-113. U.S. Geological Survey, DOI:10.3133/ofr98113; Jibson, R., Harp, E., Michael, J., 2000. A method for producing digital probabilistic seismic landslide hazard maps. Eng. Geol. 58(3-4), 271-289. DOI:10.1016/S0013-7952(00)00039-9; King, D., Gurtner, Y., Firdaus, A., Harwood, S., Cottrell, A., 2016. Land use planning for disaster risk reduction and climate change adaptation: Operationalizing policy and legislation at local levels. Int. J. Disaster Resil. Built Environ. 7(2), 158-172. DOI:10.1108/IJDRBE-03-2015-0009; May, P., Deyle, R., 1998. Governing land use in hazardous areas with a patchwork system. En: Burby, R. (Ed.), Cooperating with nature: Confronting natural hazards with land-use planning for sustainable communities. Joseph Henry Press, Washington, DC. pp 57-82.; McBratney, A., Mendoca Santos, M., Minasny, B., 2003. On digital soil mapping. Geoderma 117(1-2), 3-52. DOI:10.1016/S0016-7061(03)00223-4; Mitchell, D., 2014. The importance of land use control and documenting property rights in Disaster Risk Reduction in Pacific Island countries. J. Spat. Sci. 59, 107-119. DOI:10.1080/14498596.2014.859638; Morss, R., Wilhelmi, O., Meehl, G., Dilling, L., 2011. Improving societal outcomes of extreme weather in a changing climate: An integrated perspective. Annu. Rev. Environ. Resour. 36, 1-25. DOI:10.1146/annurev-environ-060809-100145; Newmark, N., 1965. Effects of earthquakes on dams and embankments. Geotechnique 15(2), 139-160. DOI:10.1680/geot.1965.15.2.139; Now, I., duPont IV, W., 2018. The long-term consequences of disasters: What do we know, and what we still don't. Int. Rev. Environ. Resour. Econ. 12(4), 325-354. DOI:10.1561/101.00000104; Platt, R., 1998. Planning and land use adjustments in historical perspective. En: Burby, R. (Ed.), Cooperating with nature: Confronting natural hazards with land-use planning for sustainable communities. Joseph Henry Press, Washington, DC. pp. 29-56.; Presidencia de Colombia, 2015. Decreto 1077, por medio del cual se expide el Decreto Único Reglamentario del Sector Vivienda, Ciudad y Territorio. DO 49,523. Bogotá, DC.; Regmi, N., Giardino, J. & Vitek, J., 2010. Modelling susceptibility to landslide using the weight of evidence approach: Western Colorado, USA. Geomorphology 115(1-2), 172-187. DOI:10.1016/j.geomorph.2009.10.002; Reid, M., Christian, S., Brien, D., Henderson, S., 2015. Scoops3D: software to analyze 3D slope stability throught a digital landscape. Techniques and Methods, Book 14: Landslide and Debris-Flow Assessment – Section A1. U S Geological Survey, DOI:10.3133/tm14A1; Roy, F., Ferland, Y., 2015. Land-use planning for disaster risk management. Land Tenure J. 1(2014) 70-103.; SafeLand, 2011. Deliverable D2.4: Guidelines for landslide susceptibility, hazard and risk assessment and zoning. En: 7th Framework Programme: Cooperation Theme 6 Environment (Including Climate Change) Sub-Activity 6.1.3 Natural Hazards. European Commission, Bruselas.; Salitchev, K., 1979. Cartografia. Pueblo y Educacion, La Habana.; Saunders, W., Glassey, P. (Comp.), 2007. Guidelines for assessing planning policy and consent requirements for landslide-prone land. GNS Science Miscellaneous Series 7. Institute of Geological and Nuclear Sciences, Lower Hutt, Nueva Zelanda.; Servicio Geológico Colombiano (SGC), 2015. Guía Metodológica para estudios de Amenaza, Vulnerabilidad y Riesgo por movimientos en masa. Bogotá, DC.; Servicio Geológico Colombiano (SGC), 2017. Guía Metodológica para zonificación de amenaza por movimientos en masa a escala 1:25.000. Bogotá, DC.; Sujatha, E., Kumaravel, P., Rajamanickam, G., 2014. Assessing landslide susceptibility using Bayesian probability-based weight of evidence model. Bull. Eng. Geol. Environ. 73(1), 147-161. DOI:10.1007/s10064-013-0537-9; United Nations Office for Disaster Risk Reduction (UNISDR), 2015. Making development sustainable: The future of disaster risk management. En: Global Assessment Report on Disaster Risk Reduction. Naciones Unidas, Ginebra, Suiza.; United Nations Office for Disaster Risk Reduction (UNISDR), 2017. Promoting land use and spatial planning for disaster risk reduction. En: Global Platform for Disaster Risk Reduction. Cancun, México.; United Nations Population Fund (UNFPA), 2007. The State of the World Population 2007: Unleashing The Potential of Urban Growth. Nueva York, NY.; Universidad Externado de Colombia, 2007. Ciudad, espacio y población: El proceso de urbanización en Colombia. Bogotá, D.C.; Van Asch, T., Malet, J.-P., Van Beek, L., Amitrano, D., 2007. Techniques, issues and advances in numerical modelling of landslide hazard. Bull. Soc. Géol. Fr. 178(2), 65-88. DOI; 10.2113/gssgfbull.178.2.65; Van Westen, C., 1993. Application of geographic information systems to landslide hazard zonation. Tesis de doctorado. Facultad de Geoinformación y Observación de la Tierra, Universidad de Twente, Enschede, Holanda.; Zheng, X., Tarboton, D., Maidment, D., Liu, Y., Passalacqua, P., 2018. River channel geometry and rating curve estimation using height above the nearest drainage. J. Am. Water Resour. Assoc. 54(4), 785-806. DOI:10.1111/1752-1688.12661; https://revistas.unal.edu.co/index.php/gestion/article/view/87129
    • الدخول الالكتروني :
      https://doi.org/10.1007/s100640050066
      https://doi.org/10.3133/ofr20081159
      https://doi.org/10.1016/j.rimni.2012.07.004
      https://doi.org/10.1016/j.jdeveco.2017.03.007
      https://doi.org/10.1175/1520-0477(2000)081
      https://doi.org/10.1007/s12665-016-5317-y
      https://doi.org/10.1016/S0012-8252(02)00112-5
      https://doi.org/10.1016/j.enggeo.2008.03.022
      https://doi.org/10.1016/S0169-555X(99)00078-1
      https://doi.org/10.1007/s41885-020-00060-5
    • Rights:
      Derechos de autor 2020 Gestión y Ambiente ; https://creativecommons.org/licenses/by-nc-sa/4.0
    • الرقم المعرف:
      edsbas.A4C309AC