3 datasets found

This dataset present the Drought Atlas for Argentina, developed as part of the Latin American and Caribbean Drought Atlas. The maps show the minimum (and maximum) precipitation for different return periods (in years) and the frequency of drought occurrences (precipitation deficits with respect to the normal annual precipitation) for Argentina.

This dataset contains layers for manuscript 'Capturing the complete landslide–debris-rich flood continuum for accurate inventory, susceptibility and exposure mapping – lessons from Cyclone Idai'. They provide a comprehensive analysis of impact, susceptibility and exposure to landslide and associated debris-rich floods in the Chimanimani and Chipinge districts, Zimbabwe. This work was carried out within the framework of the UNESCO project BE-RESILIENT Zimbabwe, funded by the World Bank and managed by the UNOPS Zimbabwe Idai Recovery Project. We also acknowledge support from BELSPO STEREO-IV LACTOSE project. The authors thank the local authorities who facilitated data collection and fieldwork in eastern Zimbabwe.

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.