Awarded

Groundwater Level Network Review – Standard Groundwater Index modelling of 40 sites across Wales

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 :

27th Aug 2025 9 days ago

Deadline :

N/A

Tender Awarded :

1 Supplier

Awarded date :

N/A

Contract Start :

N/A

Contract End :

N/A

Tender Regions

North West

South West

North East

East of England

Yorkshire and The Humber

South East

East Midlands

West Midlands

Ireland

Wales

Scotland

Northern Ireland

London

CPV Codes

72319000 - Data supply services

72316000 - Data analysis services

Keywords

data modeling

exploratory data analysis

KPI evaluation

performance benchmarking

statistical inference

correlation studies

multivariate analysis

data mining

segmentation analysis

regression forecasting

data supply services

data provisioning

data feed integration

API data supply

statistical data delivery

geospatial data supply

market data distribution

sensor data delivery

subscription data feeds

remote data sourcing

Tender Lot Details

2 Tender Lots

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Workflows

Status :

Awarded

Assign to :

Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors