Análisis de riesgo por inundación: metodología y aplicación a la cuenca Atemajac

Hernández-Uribe, Rubén Ernesto; Barrios-Piña, Héctor; Ramírez, Aldo I.

doi:10.24850/j-tyca-2017-03-01

Cited by 15 publications

(13 citation statements)

References 12 publications

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“…The increase in floods has occurred particularly in urban areas, negatively affecting the normal functioning of the social, service, economic and financial sectors, among others, leaving the population with fewer resources and in greater vulnerability (Benjamín, 2008). In addition, Mexico is also frequently affected by other meteorological phenomena, such as cold fronts and mesoscale convective systems (Hernández-Uribe et al, 2017), independently of cyclonic activity.…”

Section: Introductionmentioning

confidence: 99%

Performance of the WRF model with different physical parameterizations in the precipitation simulation of the state of Puebla

Uribe

Lugo-Morin

2020

ATM

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En México, las intensas lluvias generadas por ciclones tropicales, frentes fríos y sistemas convectivos de mesoescala pueden causar inundaciones y deslaves, los cuales provocan daños a los sectores sociales, de servicios, económicos y financieros, entre otros, y dejan a la población con menos recursos y en mayor vulnerabilidad. Dado este escenario, el tema de la prevención de desastres tiene relevancia en la agenda de protección civil, en la cual se reconoce que es indispensable establecer estrategias y programas de largo alcance enfocados a prevenir y reducir sus efectos y no sólo prestar atención a las emergencias y desastres. El objetivo de este trabajo es evaluar el desempeño del modelo WRF para simular la precipitación pluvial acumulada en 24 horas en el estado de Puebla, considerando 768 combinaciones diferentes de parámetros físicos, en comparación con los registros de lluvia de estaciones climatológicas para el periodo del 1 de junio al 20 de agosto de 2017. Además, como parte de la investigación, se definieron las configuraciones óptimas para obtener el mejor rendimiento del modelo a nivel local y estatal.

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Section: Introductionmentioning

confidence: 99%

Performance of the WRF model with different physical parameterizations in the precipitation simulation of the state of Puebla

Uribe

Lugo-Morin

2020

ATM

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“…For example, Norman et al [6] assessed the flood vulnerability of Nogales, Arizona and Nogales, Sonora, in Mexico, implementing a model to evaluate watersheds. Hernández-Uribe et al [51] applied a methodology for flood risk analysis in the urban basin Atemajac, in the Jalisco state. As a result of this work, zones under flood risk and high vulnerability have been delimited.…”

Section: Flood Maps and Existing Applicationsmentioning

confidence: 99%

Linking Flood Susceptibility Mapping and Governance in Mexico for Flood Mitigation: A Participatory Approach Model

Bonasia

Lucatello

2019

Atmosphere

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In many countries of the world, floods continue to cause extensive damage to people and properties. This is also the case of Mexico, where meteorological phenomena cause flooding every year. In order to mitigate continuous losses and damages, crucial tools like hazard maps are essential for prevention. This review article analyzes the main reasons for the shortcomings on disasters caused by floods in Mexico. We argue that strong linking between the realm of technical hazard mappings and local governance as an integrated approach to manage disasters can be a basis for a new prevention policy in Mexico. This consideration is achieved through the description of the available information on the meteorological events that have caused major damage in recent years and the analysis of the interventions carried out at decision-making level by the government and the national civil protection system. The application that hazard maps have in the world and their usefulness is also discussed. From the analysis carried out it emerges that the inefficiency of the system in preventing damage caused by floods in Mexico is due to both the lack of high-level expertise in hazard maps design and the lack of their use in decision-making policies at the local level.

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“…Las aproximaciones para evaluar las inundaciones incluyen: la evaluación directa a través del trabajo de campo (Hernández-Uribe, Barrios-Piña & Ramírez, 2017;Díaz-Borrego & Rodríguez-Infante, 2016;Rodríguez Gavíria, 2016;Escuder, Matheu & Castillo, 2010); entrevistas, medición de tirantes e inventarios (Moguel, Tejeda & García Pacheco, 2012;Aguilar & Bedoya, 2006); y el enfoque a distancia, mediante la aplicación de sensores remotos satelitales (Singh, Krishna Kant & Singh, 2017;Singh, Akansha & Singh, 2017;Zhou & Zhang, 2017;Acharya et al, 2016;Fisher, Flood & Danaher, 2016;Franci et al, 2016;Twele et al, 2016;Jung et al, 2014). La teledetección es una herramienta que en los últimos años ha tenido gran desarrollo, principalmente en aquellas regiones de difícil acceso, como lo podrían ser las zonas inundadas.…”

Section: Introductionunclassified

Metodología para la estimación de pérdidas económicas de cultivos de maíz siniestrados por inundaciones usando teledetección

Ascención

Mastachi-Loza

Alcántara

et al. 2021

Rev. geogr. Norte Gd.

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The flooded areas of corn cultivation were determined by means of satellite images in order to know the economic losses due to floods. As a case study, a flood that occurred in 2016 that affected 4 municipalities in the State of Tabasco, Mexico, was analyzed. The methodology included the use of Landsat satellite images (L8), calculation of spectral indices (water, vegetation and humidity), identification of corn growing areas through supervised classification and the estimation of economic losses. The results show that the spectral indices that best managed to identify the flooded areas were: MNDWI and NDWI. To report damages, values in USD (US dollars) were standardized in 2016 prices using exchange rates adjusted for purchasing power parity (PPP). For the case study, the results of damages per hectare were established between 728.57 USD / ha in PPP and 317.25 USD / ha in PPP, which agree with the estimates made in other countries for corn crops.

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Análisis de riesgo por inundación: metodología y aplicación a la cuenca Atemajac

Cited by 15 publications

References 12 publications

Performance of the WRF model with different physical parameterizations in the precipitation simulation of the state of Puebla

Performance of the WRF model with different physical parameterizations in the precipitation simulation of the state of Puebla

Linking Flood Susceptibility Mapping and Governance in Mexico for Flood Mitigation: A Participatory Approach Model

Metodología para la estimación de pérdidas económicas de cultivos de maíz siniestrados por inundaciones usando teledetección

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