Warminster Folly Lane Rl Monitoring Station


Current River Level: 0.107m, falling

Below normal for this location

Current level recorded at 7:00am, Saturday 1st October BST
(6:00am, Saturday 1st October GMT)

Change from previous measurement: -0.062m
(recorded at 6:00pm, Friday 30th September BST)

The usual range of the Warminster Folly Lane Rl Monitoring Station is between 0.13m and 0.24m. It has been between these levels for 90% of the time since monitoring began.

The typical recent level of the Warminster Folly Lane Rl Monitoring Station over the past 12 months has been between 0.13m and 0.29m. It has been between these levels for at least 156 days in the past year.

  • Monitoring Station: Warminster Folly Lane Rl
  • Watercourse:
  • Nearest Town/Village: Warminster
  • Local Authority: Wiltshire
  • Ceremonial County: Wiltshire
  • Coordinates: 51°11'52"N 2°12'6"W (51.197792,-2.201681)
  • OS Grid: ST8600444306 (386004,144306)
  • Mapcode (Local): GBR 1V5.VK4
  • Mapcode (Global): VH97N.S5F3
  • Open Location Code: 9C3V5QXX+48
  • Maidenhead Locator System: IO81ve57
  • Environment Agency Location ID: 432312
  • Environment Agency Gauge ID: 432312-level-stage-i-15_min-m

Nearby Monitoring Locations

There are no other monitored rivers nearby
Taming the Flood by Jeremy Purseglove

Nearby Flood Warning Locations

Groundwater flooding for the Wylye Valley at Warminster
Groundwater flooding for Warminster

No current or recent warnings.

Upper Wylye from Brixton Deverill to Warminster
Longbridge Deverills, Henfords Marsh, Boreham, Water Lane and Norton Bavant

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.

Important! If you are planning to retrieve the csv data automatically, you must read and understand the limitations on the data and its availability.

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