Sequoia invents Super-Turbidity methodology (Patent Pending)

June 25, 2019
Category: News

The article below is from Sequoia Press Release 

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In a world’s first, Sequoia Scientific, Inc. of Bellevue, WA, USA has invented a method (patent pending) to pair data from a turbidity meter (e.g. an OBS) with Sequoia’s acoustic backscatter sensor, the LISST-ABS. The pairing of the acoustic and the optical data leads to a much-improved estimate of suspended sediment concentration (SSC), compared to the estimate that either sensor can provide on its own. The new methodology allows for measurements of SSC that is within a factor of 2 of the actual value, e.g. based on sampling and subsequent filtration. This is an order of magnitude improvement over currently used technologies.

Sequoia is also introducing a new instrument system based on this technology, the LISST-AOBS Super-Turbidity Meter. All existing LISST-ABS sensors can be expanded to the LISST-AOBS Super-Turbidity Meter. Also, all existing turbidity sensors can be expanded to the LISST-AOBS Super-Turbidity Meter – contact Sequoia for details!

The implications of the new method and the introduction of the LISST-AOBS Super-Turbidity Meter are two-fold:

1) existing regulations (e.g. for stormwater, construction, environmental monitoring) that calls for monitoring of turbidity can be adhered to while

2) the user AT THE SAME TIME can obtain an ACCURATE estimate of SSC.

According to the US EPA, excessive sediment is the leading cause of impairment of the Nation’s waters . High SSC values influence virtually all aspects of aquatic life in a detrimental manner. Accurate measurements of SSC with low-cost sensors that can be deployed for months or years are therefore of importance for a wide range of environmental quality programs, remediation efforts, court cases etc.

The LISST-AOBS Super-Turbidity meter can help provide the data needed to make the decisions that will protect the Nation’s waters.

Link to Press Release on Sequoia website:

Link to LISST-AOBS product page on Sequoia website:


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