Milton Lock RL

 

Current River Level: 3.369m, rising

Within the usual range for this location

Current level recorded at 4:30am, Sunday 24th September GMT
(5:30am, Sunday 24th September BST)

Change from previous measurement: 0.086m

The normal level of the Milton Lock RL in average weather conditions is between 1.91m and 1,000,000.00m. It has been between these levels for at least 150 days in the past year.

The usual range of the Milton Lock RL in more extreme weather conditions is between 2.70m and 3.54m. It has been between these levels for 90% of the time since monitoring began.

  • Monitoring Station: Milton Lock RL
  • Environment Agency Location ID: E7451
  • Watercourse:
  • UK Hydrometric Area: Sussex Rivers Group
  • Environment Agency Region: Southern
  • Nearest Town/Village: Berwick
  • Local Authority: Wealden
  • Ceremonial County: East Sussex

Nearby Monitoring Locations

There are no other monitored rivers nearby

Nearby Flood Warning Locations

Alfriston
Cuckmere River at Alfriston from Shermans Bridge to Deans Place Hotel including Milton Lock and Long Bridge

No current or recent warnings.

Tidal Cuckmere
Tidal areas of the Cuckmere valley from Cuckmere Haven to the A27 including Alfriston

No current or recent warnings.

Cuckmere River
Cuckmere River and tributaries from Vines Cross to Exceat Bridge

No current or recent warnings.

Inland areas of Seaford
Areas of Seaford at risk from a high tide including Buckle Close, Beach Close, Dane Close and Steyne Road

No current or recent warnings.

Seaford Town
Areas of Seaford at risk from a high tide including Buckle Close, Beach Close, Dane Close and Steyne Road

No current or recent warnings.

Long term graphs will work better if you rotate your fondleslab into landscape mode.

Past Week

Long Term

Darker blue shaded areas on long term data indicate maximum and minimum levels for the date (you may need to zoom in closer to see them).

Long term data may have gaps where the API data was not available.

Download long term data as csv

Note: CSV data will include any outlying values that have been ignored by our graphing system as probably erroneous (eg, because they are ridiculously high compared to the values either side of them). It is your responsibility to filter these out if necessary.

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