Awarded
Groundwater Level Network Review – Standard Groundwater Index modelling of 40 sites across Wales
Request tender documents
Save your time. You just request and we will send you the available documents.
Request for bid service
Save your time. You just request and we will arrange tender related all available documents to bid writers for the best possible quote.
Descriptions
The Geoscience Team have set up a project to review the groundwater level data we hold from
across our groundwater monitoring network (130 sites). We have chosen 40 site to look at in
more detail using the modelling code the British Geological Survey (BGS) have developed to
get a standard groundwater index (SGI).
The aim of the project is to use the AquiMod 2 groundwater model (Mackay et al. 2022) in
conjunction with historical, bias corrected climate data to reconstruct daily groundwater level time series back to 1894 at each borehole, before calculating an equivalent standardised time
series which can be used to assess the historical occurrence of groundwater drought at each
borehole.
Once the data is processed through the modelling code, we (NRW in house) can then use this
data to compare and review groundwater levels from sites with different geologies and
geographical areas from around Wales in a standardised way. This allows analysis of drought
response and allow us to consider drought management in the future.
The BGS have developed the modelling code to determine the SGI. They are the only
organisation within the UK that can use the modelling code as the code is not commercially
available. As the BGS are the only organisation we must follow the Single Tender Action
procurement process to secure a contact for the works.
Timeline
Published Date :
Deadline :
Contract Start :
Contract End :
Tender Regions
CPV Codes
72319000 - Data supply services
72316000 - Data analysis services
Keywords
data modeling
API data supply
data mining
KPI evaluation
data feed integration
regression forecasting
subscription data feeds
market data distribution
performance benchmarking
data supply services
segmentation analysis
statistical inference
remote data sourcing
multivariate analysis
correlation studies
geospatial data supply
data provisioning
sensor data delivery
statistical data delivery
exploratory data analysis
Tender Lot Details & Award Criteria
1 Tender Lots
Workflows
Status :
Procedure :
Suitable for SME :
Nationwide :
Assign to :
Tender Progress :
Details
Notice Type :
Buyer Information
Name :
