3 jeux de données trouvés

Le Portail MAR contient l’Inventaire mondial de la MAR, un inventaire de plus de 1200 sites où la recharge artificielle des aquifères (MAR) est ou a été mise en œuvre. L’Inventaire mondial de la MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en œuvre du dispositif, la source de l’eau d’infiltration, l’utilisation finale de l’eau extraite, ainsi que les principaux objectifs du projet.

Ce jeu de données présente une carte d’adéquation pour la recharge artificielle des aquifères dans le nord de l’Australie, développée par le CSIRO (2018). L’étude évalue les opportunités de recharge artificielle des aquifères de surface afin de soutenir le développement agricole dans les bassins de Fitzroy, Darwin et Mitchell. L’analyse repose sur les caractéristiques de la géologie de surface, la topographie et les estimations modélisées de l’épaisseur du régolithe et de la perméabilité des sols. Le jeu de données fournit des informations géospatiales pouvant appuyer la planification durable des ressources en eau et la gestion de l’eau agricole dans le nord de l’Australie. Il fait partie de la collection mondiale d’évaluations d’adéquation pour la MAR compilée par l’IGRAC.

Si vous souhaitez contribuer des données au Portail MAR, veuillez nous contacter à info@un-igrac.org.

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.

The Global Lakes and Wetlands Database (GLWD) version 2 provides a comprehensive and seamless global map of inland surface waters distinguished into 33 waterbody and wetland types. GLWD v2 was developed by harmonizing the best available ground- and satellite-based data sources and has been designed to represent the maximum non-overlapping extents of aquatic ecosystems over the broad contemporary period of 1990-2020.

GLWD v2 represents a total of 18.2 million km2 of wetlands at a grid cell resolution of 15 arc-seconds (approximately 500 m at the equator). The data consist of a map of the dominant waterbody or wetland type in each grid cell, as well as 33 individual class layers which represent the sub-cell fraction of each specific class within each grid cell.

Version 2 of GLWD (Lehner et al., 2025) is the successor of the widely-used GLWD version 1 (Lehner & Döll, 2004). The quality, resolution, and format of GLWD v2 significantly improves upon GLWD v1 and supersedes the older version.