Improving groundwater supply security through the Great Artesian Basin
Sector: Commercial • Location: Australia
Source: National Water Grid Authority (NWGA) (Australia)
Managed Aquifer Recharge (MAR) infrastructure has the potential to improve water security. It builds resilience for existing water users, including communities. This assessment will identify groundwater connectivity and flow paths from the recharge areas of the New South Wales (NSW) Great Artesian Basin (GAB) into the deeper buried sections. The outcomes of this work will inform groundwater manage
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | underway |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Managed Aquifer Recharge (MAR) infrastructure has the potential to improve water security. It builds resilience for existing water users, including communities. This assessment will identify groundwater connectivity and flow paths from the recharge areas of the New South Wales (NSW) Great Artesian Basin (GAB) into the deeper buried sections. The outcomes of this work will inform groundwater management decisions. This includes how much capacity there is to release additional access to GAB groundwater. These decisions need to ensure that they do not jeopardise the security of existing water supply infrastructure of the GAB. This project includes a detailed desktop study to advance possible large scale agricultural MAR schemes in irrigation areas of NSW. The first phase includes a preliminary desktop analysis of existing evidence, building on opportunities identified by CSIRO’s rapid appraisal research. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
