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Suitability maps of Managed Aquifer Recharge (MAR), Northern Australia
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes...The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project.
This dataset presents a MAR suitability map for Northern Australia, developed by CSIRO (2018). The study assesses opportunities for Managed Aquifer Recharge (MAR) in surficial aquifers to support agricultural development across the Fitzroy, Darwin, and Mitchell catchments. The analysis is based on the characteristics of surficial geology, topography, and modelled estimates of regolith thickness and soil permeability. The dataset provides geospatial information that can support sustainable water resource planning and agricultural water management in Northern Australia. It is part of the global collection of MAR suitability assessments compiled by IGRAC.
If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
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ROBIN Dataset
The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) project established a new long-term collaboration of international experts to...The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) project established a new long-term collaboration of international experts to establish and sustain a global reference hydrological network (RHN), through common standards, protocols, indicators, and data infrastructure. ‘Reference Hydrometric Networks’ (RHNs), consist of gauging stations whose catchments are relatively undisturbed and record high quality data and little missing data. The concept of RHNs, their history and evolution are described in (Whitfield et al., 2012) previously and many countries have already established RHNs, however this is the first initiative to bring them together at a global level. The ROBIN Full Dataset consists of 3,060 stations in 30 countries, however the dataset described here is the ROBIN Public Dataset which contains metadata records for all 3,060 stations and daily streamflow data for a total of 2,386 stations. This tiered approached was due to data sharing restrictions in some countries. More information about the ROBIN Network and dataset can be found on the project website: https://www.ceh.ac.uk/our-science/projects/robin
