Indirectly via Scalby Beck to Scarborough North Bay polluted by sewage 109 times in 2023 - lasting 952 hours

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Totals for Indirectly via Scalby Beck to Scarborough North Bay in 2023
4 Sites polluted by Yorkshire Water
109 sewage dumps
952 h duration
That's 1.32 months. 2.1 times a week, on average
How does Indirectly via Scalby Beck to Scarborough North Bay compare?

Indirectly via Scalby Beck to Scarborough North Bay was the #61 most polluted bathing 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 Indirectly via Scalby Beck to Scarborough North Bay in 2023.

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 %
Yorkshire Water North Sea COW WATH BECK CSO 38 390 99.7
Yorkshire Water Scalby Beck - North Sea NEWBY BRIDGE STORM DETENTION TANK 33 320 100
Yorkshire Water Scalby Beck - North Sea HILLCREST AVENUE 31 215 100
Yorkshire Water Sea Cut GLYNNDALE DRIVE TANK SEWER 7 25 100

Data Sources & Accuracy

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

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.