Designated shellfish area 'COWES, LEPE MIDDLE BANK, LYMINGTON AND SOWLEY_M, MEDINA, NEWTOWN_M' polluted by sewage 43 times in 2023 - lasting 381 hours

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Totals for COWES, LEPE MIDDLE BANK, LYMINGTON AND SOWLEY_M, MEDINA, NEWTOWN_M in 2023
2 Sites polluted by Southern Water
43 sewage dumps
381 h duration
That's 15.88 days. 3.6 times a month, over the year
How does COWES, LEPE MIDDLE BANK, LYMINGTON AND SOWLEY_M, MEDINA, NEWTOWN_M compare?

COWES, LEPE MIDDLE BANK, LYMINGTON AND SOWLEY_M, MEDINA, NEWTOWN_M was the #65 most polluted shellfish area in England & Wales, by duration of sewage overflows, as reported by the water companies

Pollution Summary 2023

Here are all the reported sewage overflow totals for COWES, LEPE MIDDLE BANK, LYMINGTON AND SOWLEY_M, MEDINA, NEWTOWN_M in 2023.

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

In particular: Totals on this page can differ from totals in the Ranked Shellfish page - number on this page are higher - this is due to a lack of standardization on shellfish area names. This page more accurately counts the differing names. For example "Solway" and "SOLWAY" are counted as different in the rankings, but correctly aggregated 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 %
Southern Water Solent GURNARD PS 37 361 99.8
Southern Water Gurnard Luck Stream WHITFORD BRIDGE CSO 6 19 100

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.