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Methodological proposal to assess the vulnerability of soils to salinization in flat area irrigation districts
Propuesta metodológica para la evaluación de la vulnerabilidad de los suelos a la salinización en distritos de irrigación de áreas planas
| dc.contributor.author | Echeverri Sánchez, Andrés | |
| dc.date.accessioned | 2023-11-28T18:29:27Z | |
| dc.date.available | 2023-11-28T18:29:27Z | |
| dc.date.created | 2022-03-11 | |
| dc.identifier.issn | 1692-3324 | |
| dc.identifier.uri | http://hdl.handle.net/11407/8210 | |
| dc.description | Soil salinization is one of the main constraints for food production. These processes occur mainly in irrigated areas, due to natural conditions and inadequate fertilization and irrigation practices. The objective of this article was to generate a model to identify and spatialize the levels of vulnerability to soluble phase salinization in the irrigation districts of Colombia as a complementary tool for the management of soil salinization risk. Two tools were integrated to achieve the objective. On the one hand, the multi-criteria analysis method called Analytic Hierarchy Process (AHP) was applied to assign weights to the analysis parameters and build the Soil Vulnerability to Salinization Index (SVSS), and on the other hand, geographic information systems (GIS) were applied to spatialize the analysis parameters and the SVSS, as well as to define the homogeneous vulnerability zones. Finally, the model was applied to a case study. The resulting model considered vulnerability parameters. The most important are Aridity Index, Soil Texture and Fertilization Practices. On a second level are Drainage Infrastructure and Depth of the Water Level. Other factors considered were Slope of the land, Irrigation Water Application Efficiency and Irrigation Water Distribution Pattern. In the case study it was found that 71.8 % of the territory presents Medium Vulnerability and 27.9 % High Vulnerability. The determining parameters of these results were the low efficiencies of irrigation water application, inadequate fertilization practices, clayey textures and lack of subsurface drainage systems. | eng |
| dc.description | La salinización de suelos es una de las limitaciones principales para la producción de alimentos. Estos procesos ocurren sobre todo en áreas irrigadas debido a las condiciones naturales y prácticas de irrigación y fertilización inadecuadas. El objetivo de este artículo fue el de generar un modelo para identificar y espacializar los niveles de vulnerabilidad a la salinización de fase soluble en la irrigación de distritos de Colombia como una herramienta complementaria para el manejo del riesgo de salinización de suelos. Dos herramientas fueron integradas para cumplir este objetivo. En primer lugar, se aplicó el método de análisis multi criterio llamado Proceso Analítico Jerárquico (AHP en sus siglas en inglés) para asignar pesos a los parámetros de análisis y construir el Índice de Vulnerabilidad a la Salinización de Suelos (SVSS en sus siglas en inglés) y, en segundo lugar, se aplicaron sistemas de información geográfica (SIG) para espacializar los parámetros de análisis y el SVSS, así como para definir las zonas de vulnerabilidad homogéneas. Finalmente, el modelo se aplicó a un estudio de caso. El modelo resultante consideró los parámetros de vulnerabilidad. Los más importantes son Índice de Aridez, Texturas del Suelo y Prácticas de Fertilización. En un segundo nivel se encuentran La Infraestructura de Drenaje y la Profundidad del Nivel Freático del Agua. Otros factores fueron la Inclinación del terreno, Eficiencia de la Aplicación de Irrigación del Agua y el Patrón de Distribución Agua de Riego. En el estudio de caso se encontró que un 71.8 % del territorio presenta Vulnerabilidad Media y el 27.9 % una Alta Vulnerabilidad. Los parámetros determinantes de estos resultados fueron las bajas eficiencias de irrigación de agua, prácticas de fertilización inadecuadas, texturas arcillosas y la falta de sistemas de drenaje subsuperficiales. | spa |
| dc.format | ||
| dc.format.extent | p. 28-43 | |
| dc.format.medium | Electrónico | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Universidad de Medellín | |
| dc.relation.ispartofseries | Revista Ingenierías Universidad de Medellín; Vol. 21 No. 40 (2022) | |
| dc.relation.haspart | Revista Ingenierías Universidad de Medellín; Vol. 21 Núm. 40 enero-junio 2022 | |
| dc.relation.uri | https://revistas.udem.edu.co/index.php/ingenierias/article/view/3696 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | * |
| dc.source | Revista Ingenierías Universidad de Medellín; Vol. 21 No. 40 (2022): (enero-junio); 28-43 | |
| dc.subject | Soil degradation | eng |
| dc.subject | Risk assessment | eng |
| dc.subject | GIS | eng |
| dc.subject | Multi criteria decisión analysis | eng |
| dc.subject | Degradación de suelo | spa |
| dc.subject | Evaluación del riesgo | spa |
| dc.subject | SIG | spa |
| dc.subject | Análisis de decisión multi criterio | spa |
| dc.title | Methodological proposal to assess the vulnerability of soils to salinization in flat area irrigation districts | eng |
| dc.title | Propuesta metodológica para la evaluación de la vulnerabilidad de los suelos a la salinización en distritos de irrigación de áreas planas | spa |
| dc.type | article | |
| dc.identifier.doi | https://doi.org/10.22395/rium.v21n40a3 | |
| dc.relation.citationvolume | 21 | |
| dc.relation.citationissue | 40 | |
| dc.relation.citationstartpage | 28 | |
| dc.relation.citationendpage | 43 | |
| dc.audience | Comunidad Universidad de Medellín | |
| dc.publisher.faculty | Facultad de Ingenierías | |
| dc.coverage | Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | |
| dc.publisher.place | Medellín | |
| dc.relation.references | P. M. Kopittke, N. W. Menzies, P. Wang, B. A. McKenna, and E. Lombi, “Soil and the intensification of agriculture for global food security,” Environ. Int., vol. 132, no. May, p. 105078, 2019, doi: 10.1016/j.envint.2019.105078. | |
| dc.relation.references | A. Litalien and B. Zeeb, “Curing the earth: A review of anthropogenic soil salinization and plant-based strategies for sustainable mitigation,” Sci. Total Environ., vol. 698, 2020, doi: 10.1016/j.scitotenv.2019.134235. | |
| dc.relation.references | S. Yadav, M. Irfan, A. Ahmad, and S. Hayat, “Causes of salinity and plant manifestations to salt stress: A review,” J. Environ. Biol., vol. 32, no. 5, pp. 667–685, 2011. | |
| dc.relation.references | FAO, Handbook for saline soil management. Food and Agriculture Organization of the United Nations and Lomosonov Moscow State University, 2018. | |
| dc.relation.references | N. Yan, P. Marschner, W. Cao, C. Zuo, and W. Qin, “Influence of salinity and water content on soil microorganisms,” Int. Soil Water Conserv. Res., vol. 3, no. 4, pp. 316–323, 2015, doi: 10.1016/j.iswcr.2015.11.003. | |
| dc.relation.references | A. Singh, “Soil salinization and waterlogging: A threat to environment and agricultural sustainability,” Ecol. Indic., vol. 57, no. October, pp. 128–130, 2015, doi: 10.1016/j.ecolind.2015.04.027. | |
| dc.relation.references | F. Bouksila, A. Bahri, R. Berndtsson, M. Persson, J. Rozema, and S. E. A. T. M. Van der Zee, “Assessment of soil salinization risks under irrigation with brackish water in semiarid tunisia,” Environ. Exp. Bot., vol. 92, no. January, pp. 176–185, Aug. 2013, doi: 10.1016/j.envexpbot.2012.06.002. | |
| dc.relation.references | D. Wichelns and M. Qadir, “Achieving sustainable irrigation requires effective management of salts, soil salinity, and shallow groundwater,” Agric. Water Manag., vol. 157, pp. 31–38, 2015, doi: 10.1016/j.agwat.2014.08.016. | |
| dc.relation.references | A. Singh, “Poor-drainage-induced salinization of agricultural lands: Management through structural measures,” Land use policy, vol. 82, no. December 2018, pp. 457–463, 2019, doi: 10.1016/j.landusepol.2018.12.032. | |
| dc.relation.references | J. A. Acosta, A. Faz, B. Jansen, K. Kalbitz, and S. Martínez-Martínez, “Assessment of salinity status in intensively cultivated soils under semiarid climate, Murcia, SE Spain,” J. Arid Environ., vol. 75, no. 11, pp. 1056–1066, 2011, doi: 10.1016/j.jaridenv.2011.05.006. | |
| dc.relation.references | T. G. Ammari et al., “Soil salinity changes in the jordan valley potentially threaten sustainable irrigated agriculture,” Pedosphere, vol. 23, no. 3, pp. 376–384, 2013, doi: 10.1016/S1002-0160(13)60029-6. | |
| dc.relation.references | A. Colantoni, C. Ferrara, L. Perini, and L. Salvati, “Assessing trends in climate aridity and vulnerability to soil degradation in Italy,” Ecol. Indic., vol. 48, no. January, pp. 599–604, 2015, doi: 10.1016/j.ecolind.2014.09.031. | |
| dc.relation.references | R. Villafañe, “Sosalriego: Un procedimiento para diagnosticar los riesgos de sodificación y salinización del suelo con el agua de riego,” Bioagro, vol. 23, no. 1, pp. 57–64, 2011. | |
| dc.relation.references | S. Zewdu, K. V. Suryabhagavan, and M. Balakrishnan, “Geo-spatial approach for soil salinity mapping in Sego Irrigation Farm, South Ethiopia,” J. Saudi Soc. Agric. Sci., vol. 16, no. 1, pp. 16–24, 2017, doi: 10.1016/j.jssas.2014.12.003. | |
| dc.relation.references | D. Zhou, Z. Lin, L. Liu, and D. Zimmermann, “Assessing secondary soil salinization risk based on the PSR sustainability framework,” J. Environ. Manage., vol. 128, no. October, pp. 642–654, 2013, doi: 10.1016/j.jenvman.2013.06.025. | |
| dc.relation.references | G. J. Hoffman and M. C. Shannon, “Salinity,” in Microirrigation for Crop Production - Design, Operation, and Management, 1st ed., vol. 13, F. R. Lamm, J. E. Ayars, and F. S. Nakayama, Eds. ELSEIVER, 2007, pp. 131–160. | |
| dc.relation.references | X. Wang, J. Yang, G. Liu, R. Yao, and S. Yu, “Impact of irrigation volume and water salinity on winter wheat productivity and soil salinity distribution,” Agric. Water Manag., vol. 149, pp. 44–54, 2015, doi: 10.1016/j.agwat.2014.10.027. | |
| dc.relation.references | IDEAM, CAR, and UDCA, Protocolo para la identificación y evaluación de la degradación de suelos por salinización. Bogotá, DC, 2017. | |
| dc.relation.references | N. Urrutia, Sustainable management after irrigation system transfer : experiences in Colombia - the RUT irrigation district, 1 ed. Wageningen: Balkema Publishers, 2006. | |
| dc.relation.references | A. Utset and M. Borroto, “A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions,” Agric. Water Manag., vol. 50, no. 1, pp. 53–63, Aug. 2001, doi: 10.1016/S0378-3774(01)00090-7. | |
| dc.relation.references | J. de Paz, F. Visconti, R. Zapata, and J. Sánchez, “Integration of two simple models in a geographical information system to evaluate salinization risk in irrigated land of the Valencian Community, Spain,” Soil Use Manag., vol. 20, no. 333–342, 2004. | |
| dc.relation.references | M. Masoudi, A. M. Patwardhan, and S. D. Gore, “A new methodology for producing of risk maps of soil salinity. Case study: Payab Basin, Iran,” J. Appl. Sci. Environ. Manag., vol. 10, no. 3, pp. 9–13, 2006, doi: 10.4314/jasem.v10i3.17312. | |
| dc.relation.references | J. M. Peragón, A. Delgado, J. D. Rodríguez, and F. J. Pérez-Latorre, “A GIS-based decision tool for reducing salinization risks in olive orchards,” Agric. Water Manag., vol. 166, pp. 33–41, 2016, doi: 10.1016/j.agwat.2015.12.005. | |
| dc.relation.references | N. Chartres, L. A. Bero, and S. L. Norris, “A review of methods used for hazard identification and risk assessment of environmental hazards,” Environ. Int., vol. 123, no. November 2018, pp. 231–239, 2019, doi: 10.1016/j.envint.2018.11.060. | |
| dc.relation.references | MADS, Política para la Gestión Sostenible del Suelo. Bogota D.C.: Ministerio de Ambiente y Desarrollo Sostenible, 2016. | |
| dc.relation.references | A. Echeverri-Sánchez, C. Facundo Pérez, P. Angulo-Rojas, and N. Urrutia-Cobo, “A Methodological Approach for Assessing Soil Salinity Hazard in Irrigated Areas. Case Study: The rut Irrigation District, Colombia,” Rev. Ing. Univ. Medellín, vol. 15, no. 29, pp. 13–26, 2016, doi: 10.22395/rium.v15n29a1. | |
| dc.relation.references | J. Malczewski and C. Rinner, Multicriteria Decision Analysis in Geographic Information Science. Lon, 2015. | |
| dc.relation.references | T. L. Saaty, “Decision making with the analytic hierarchy process,” Int. J. Serv. Sci., vol. 1, no. 1, p. 83, 2008, doi: 10.1504/IJSSCI.2008.017590. | |
| dc.relation.references | T. L. Saaty, “How to make a decision: The analytic hierarchy process,” Interfaces (Providence)., vol. 24, no. 6, pp. 19–43, 1994, doi: 10.1016/0377-2217(90)90057-I. | |
| dc.relation.references | R. K. Jaiswal, N. C. Ghosh, R. V. Galkate, and T. Thomas, “Multi Criteria Decision Analysis (MCDA) for Watershed Prioritization,” Aquat. Procedia, vol. 4, no. Icwrcoe, pp. 1553–1560, 2015, doi: 10.1016/j.aqpro.2015.02.201. | |
| dc.relation.references | L. Abdullah and C. W. Adawiyah, “Simple Additive Weighting Methods of Multi criteria Decision Making and Applications: A Decade Review,” Int. J. Inf. Process. Manag., vol. 5, no. 1, pp. 39–49, 2014. | |
| dc.relation.references | C. Kahraman, Fuzzy Multi - Criteria Decision Making, vol. 53, no. 9. Istambul: Springer International Publishing, 2008. | |
| dc.relation.references | IGAC and CVC, Levantamiento de Suelos y Zonificación de Tierras del Departamento del Valle del Cauca. Cali, Colombia, 2004. | |
| dc.relation.references | R. Lora, “PROPIEDADES QUÍMICAS DEL SUELO,” in Ciencia del suelo. Principios básicos, 2 ed., H. Burbano and F. Silva, Eds. Bogota: Sociedad Colombiana de la Ciencia del Suelo, 2013, pp. 73–138. | |
| dc.relation.references | B. R. Hanson, S. R. Grattan, and A. Fulton, Agriculural Salinity and Drainage. California: Water Management Series publication 3375 ORDERING, 2006. | |
| dc.relation.references | Z. Wen-tai, W. U. Hong-qi, G. U. Hai-bin, F. Guang-long, W. Ze, and S. Jian-dong, “Variability of Soil Salinity at Multiple Spatio-Temporal Scales and the Related Driving Factors in the Oasis Areas of Xinjiang , China,” Pedosph. An Int. J., vol. 24, no. 6, pp. 753–762, 2014, doi: 10.1016/S1002-0160(14)60062-X. | |
| dc.relation.references | USDA, “USDA Textural Soil Classification,” in Soil Mechanics Level I Module 3 - USDA Textural Soil Classification, United States Deparment of Agriculture, 1987, pp. 1–33. | |
| dc.relation.references | R. Guerrero, Manual técnico. Propiedades Generales de los Fertilizantes. Barranquilla, 2004. | |
| dc.relation.references | IGAC and CVC, “Levantamiento semidetallado de suelos Escala 1:25000. Convenio Interadministrativo 4488 IGAC – 087 CVC de 2014.,” Cali, Colombia, 2016. | |
| dc.relation.references | G. P. O. Reddy and S. K. Singh, Geospatial Technologies in Land Resources Mapping, Monitoring, and Management: An Overview. Springer International Publishing, 2018. | |
| dc.relation.references | M. C. M. Cabrera, J. A. A. Anache, C. Youlton, and E. Wendland, “Performance of evaporation estimation methods compared with standard 20 m2 tank,” Rev. Bras. Eng. Agric. e Ambient., vol. 20, no. 10, pp. 874–879, 2016, doi: 10.1590/1807-1929/agriambi.v20n10p874-879. | |
| dc.relation.references | W. Bajjali, Arcgis for Environmental and Water Issues. Springer International Publishing, 2018. | |
| dc.relation.references | J. Triantafilis, I. O. A. Odeh, B. Warr, and M. F. Ahmed, “Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods,” Agric. Water Manag., vol. 69, no. 3, pp. 203–231, Oct. 2004, doi: 10.1016/j.agwat.2004.02.010. | |
| dc.rights.creativecommons | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.identifier.eissn | 2248-4094 | |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dc.type.local | Artículo científico | |
| dc.type.driver | info:eu-repo/semantics/article | |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | |
| dc.identifier.repourl | repourl:https://repository.udem.edu.co/ | |
| dc.identifier.instname | instname:Universidad de Medellín |
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