Wisemans Bridge polluted by sewage 201 times in 2022 - lasting 2,176 hours

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Totals for Wisemans Bridge in 2022
5 Sites polluted by Dwr Cymru Welsh Water
201 sewage dumps
2,176 h duration
That's 3.02 months. 3.9 times a week, on average
How does Wisemans Bridge compare?

Wisemans Bridge was the #15 most polluted bathing area in England & Wales, by duration of sewage overflows, as reported by the water companies

Pollution Summary 2022

Here are all the reported sewage overflow totals for Wisemans Bridge in 2022.

If the locations of the sewage outlets look a bit unusual, it is likely that the reporting of the data from the water company is in error. We rely on their data in order to draw these maps.

Accuracy Warning We use data from the water companies, but we are seeing many anomalies, that make us believe that bathing location information is quite poor. The situation is likely far worse than reported here.

Other CSOs may also be located nearby, however the water companies claim that these do not affect the water quality here.

Company Waterway Site Sewage Dumps Duration (Hours) Reporting %
Dwr Cymru Welsh Water Ford'S Lake TEMPLETON STW STORM 135 1,260 100
Dwr Cymru Welsh Water Fords Lake Stream KILGETTY EAST PS KILGETTY EAST WWTW 55 903 100
Dwr Cymru Welsh Water Saundersfoot Stream BROOKLANDS PLACE SPS 6 7 100
Dwr Cymru Welsh Water Colby Stream CSO and EO at Amroth & Summerhill SPS No.1 2 4 100
Dwr Cymru Welsh Water Stream Above Beach THE GLEN SAUNDERSFOOT PS . . 3 0 100
Dwr Cymru Welsh Water Saundersfoot Stream MILFORD STREET SPS 0 0 100

Data Sources & Accuracy

EDM (Event Duration Monitoring) data and Consented Discharges to Controlled Waters with Conditions from Environment Agency & Data Map Wales

Experimental derived data from Thames Water API, Some data may be missing or inaccurate. This uses Environment Agency rainfall data from the real-time data API (Beta) - Rainfall data is delayed by up to two days.

This website is intended to provide an accurate representation of the Environment Agency data. The data is hard to use, and thus some errors may have been made. If you find something that is incorrect, please raise an issue at the GitHub issues page and we'll endeavour to fix it quickly.

This project is not associated, approved or endorsed by any of the companies whose logos you see here.