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Palabras clave: Flood

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  • Satellite detected water extents in Sindh, Balochistan and Punjab Provinces,...

    This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July...

    This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.

  • Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) Transboundary River Basins

    OpenLISEM is an open-source hydrological model suited for the simulation of floods, flash floods and erosion events. The following sections provide an overview of the results...

    OpenLISEM is an open-source hydrological model suited for the simulation of floods, flash floods and erosion events. The following sections provide an overview of the results from the OpenLISEM model used in the exposure mapping A 30x30m flood map (maximum flood height) for the BuPuSa region was developed for several points on the intensity-frequency-duration curve. This curve represents the extreme value analysis (EVA) for the rainfall across the BuPuSa area. Based on 50 years of historic rainfall data from TAMSAT the EVA is developed for a 1000 year period. From this different rainfall intensities area taken which are referred to at the return period. The statistical possibility of a certain rainfall intensity to happen once in X many years. Flood maps were developed for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. In addition to 5 different return periods, two different scenarios were modeled. A short high intensity rainfall event that typically causes flash floods, and a longer term lower intensity rainfall event that typically causes fluvial (river) floods. These events were represented by respectively a 6h rainfall event and a 14 day rainfall event. As a result 10 different flood maps were developed.

  • Comprehensive Resilience Building in the Chimanimani and Chipinge Districts

    Zimbabwe is exposed to multiple weather-related hazards, suffering from frequent periodic cyclones, droughts, floods, and related epidemics and landslides. On 15 March 2019,...

    Zimbabwe is exposed to multiple weather-related hazards, suffering from frequent periodic cyclones, droughts, floods, and related epidemics and landslides. On 15 March 2019, tropical Cyclone Idai hit eastern Zimbabwe, and at least 172 deaths were reported, more than 186 people were injured and 327 were missing, while over 270,000 people were affected across nine districts, particularly in Chimanimani and Chipinge. Of those affected, 20,002 households (61.5%) or 100,106 people (74.2% of the 2012 population) were in Chimanimani. Meanwhile, ecosystem damage also occurred where boulders and mud were dumped downhill, affecting wildlife habitats, water quality, tourism activities and usability of land resources. The cyclone’s aftermath has therefore increased environmental risks, which will in turn affect local adaptation. Loss of vegetation cover means the natural defense against future flood waters and landslides is no longer available. Similar events in future are therefore likely to cause even more destruction. The overall objective of the initiative is therefore to reduce the vulnerability of communities in the Chimanimani and Chipinge Districts to natural disasters, such as floods, droughts and landslides; and to enhance water resource management as well as ecosystem services in response to the uncertainty of future climate change. The project is designed to approach the water-related risk and vulnerability through an integrated strategy that targets several aspects of disaster risk reduction, and provides scalable implementation of the project through a modular pathway and the development of case studies in target flood and landslide prone areas.

  • Example of Bolivian Hydrological Data

    This in example of hydrological data containing parameters x y z, in bolivia
  • Informes Finales del Proyecto FRIEND/Nile: Investigación Hidrológica y...

    El proyecto FRIEND/Nile, implementado en dos fases (2001-2006 y 2007-2013), tuvo como objetivo mejorar la gestión de los recursos hídricos en la cuenca del Nilo a través de la...

    El proyecto FRIEND/Nile, implementado en dos fases (2001-2006 y 2007-2013), tuvo como objetivo mejorar la gestión de los recursos hídricos en la cuenca del Nilo a través de la cooperación regional, el desarrollo de capacidades y la investigación hidrológica aplicada. Iniciado bajo el Programa Hidrológico Internacional (PHI) de la UNESCO y financiado por el Gobierno de Flandes en Bélgica, el proyecto involucró a instituciones clave de cinco países de la cuenca del Nilo: Egipto, Sudán, Etiopía, Kenia y Tanzania. El proyecto se centró en mejorar la comprensión del régimen hidrológico del río mediante la cooperación en la investigación y el intercambio de datos.

    La Fase I (2001-2006) estableció la cooperación técnica e institucional, enfatizando cuatro componentes de investigación clave: modelado lluvia-escorrentía, transporte de sedimentos y gestión de cuencas, análisis de frecuencia de inundaciones y análisis de sequías y caudales bajos. Se llevaron a cabo más de 20 talleres de capacitación y reuniones técnicas, mejorando la capacidad de los investigadores y las instituciones de la región. El proyecto facilitó la adquisición de datos, el desarrollo de modelos y la publicación de documentos técnicos, sentando las bases para una mejor gobernanza del agua transfronteriza.

    La Fase II (2007-2013) amplió estos esfuerzos abordando nuevos desafíos como la ecohidrología, el modelado estocástico y la erosión y transporte de sedimentos. Se introdujeron modelos hidrológicos avanzados, se mejoró el monitoreo del rendimiento y se evaluaron los impactos del cambio climático en la disponibilidad de agua en la cuenca del Nilo. El proyecto contribuyó a una mayor cooperación científica, fortaleció los marcos institucionales y proporcionó información relevante para la formulación de políticas de gestión sostenible del agua.

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