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Cumulative effects of Groundwater Abstraction
Details
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Tender Closed
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| RFx ID : | 23721519 |
| Tender Name : | Cumulative effects of Groundwater Abstraction |
| Reference # : | 2324-20/21 |
| Open Date : | Wednesday, 2 December 2020 2:30 PM (Pacific/Auckland UTC+13:00) |
| Close Date : | Friday, 15 January 2021 5:00 PM (Pacific/Auckland UTC+13:00) |
| Department/Business Unit : | Science |
| Tender Type : | Request for Proposals (RFP) |
| Tender Coverage : | Sole Agency [?] |
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| Exemption Reason : | None |
| Required Pre-qualifications : | None |
| Contact : |
Craig Prebble 0272395638 |
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‘What is the cumulative effect of groundwater abstraction?’ is one of Environment Canterbury’s Groundwater Section’s key questions. We have established a working group to guide our data collection, analysis and research. We want you to assess available methods, via a desk-based literature review, to measure and model cumulative effects. This should focus on methods that allow groundwater abstraction to be separated from climate effects.
We have previously used existing methods including water balances, eigen modelling and regional-scale numerical models to assess cumulative effects, but each method has limitations and cannot always be applied to the right area at the right time. We will work with you throughout the project, starting with project initiation workshop, to determine the best methods for the data we collect at the right scale in time and space (cumulative versus local, short-term versus seasons). This project is focussed on cumulative and seasonal to multi-year effects.
We don’t want to reinvent the wheel and be delivered a report with existing Environment Canterbury methodology. We do want you to be innovative and look for other methods from national and international examples and compare them to our existing toolbox. At the project initiation workshop, we will provide an overview of what we have done previously. We would like you to focus on less-data intensive methods that do not require maintaining large-scale regional models. We want you to let us know what datasets we need to implement some of the methods, and which ones can be currently applied with our existing data.
This project focuses on scientific methods for assessing cumulative effects, not management of them.
You should bid for this proposal if you can bring systematic and innovative thinking to an international problem. We will support you with our knowledge of previous work and available datasets.
This tender has been awarded.
- Aqualinc Research - PO Box 20462, Bishopdale, Christchurch, 8543, NEW ZEALAND
Award Date: Wednesday, 3 February 2021 (Pacific/Auckland UTC+13:00)
Date RFx was completed/updated: Tuesday, 28 September 2021 7:47 AM (Pacific/Auckland UTC+13:00)
