Sequoia LISST-AOBS Super-Turbidity Sensor
Features
- Paired acoustic and optical technologies
- Near-constant calibration within a factor of two for grain-sizes from 1–500 µm
- Includes Y-cable providing power and integrated SDI-12 communication to and from both sensors
- Expedited repair and warranty service
- Lifetime technical support
- More
Overview
The Sequoia LISST-AOBS is a simple, low-cost Super-Turbidity sensor that measures suspended sediment concentration (SSC; mg/l) and turbidity (V). The Sequoia Super-Turbidity sensor involves pairing a LISST-ABS with a turbidity sensor using a weight factor, which results in a single, combined output from the two sensors. Once paired, the LISST-AOBS retains near-constant calibration for SSC over a wide grain-size range.
Connectivity
The LISST-AOBS Super-Turbidity sensor is supplied by Sequoia as an integrated and paired turbidity and acoustic sensor with a variety of cabling and data logger options including the X3 data loggers and telemetry systems. The X3 is available for pole-mount deployments with solar charging or connected to the SBP500 submersible alkaline battery pack for subsurface deployments.
Parameters measured
- Suspended Sediment Concentration (SSC; mg/l)
Concentration range
- 1 – 30,000 mg/l (LISST-ABS)
Technology
- Combined optical and 8MHz acoustic backscatter technology
- Optics per ISO 7027 Turbidity Technique
- Mechanical wiper for optical backscatter
- SDI-12 output
- Sample volume (acoustic): 10mmØ x 15mmL @ 55mm from transducer
Mechanical and electrical
- 5.72 cm (2.25″) H x 10.16 cm (4″) W x 33.65 cm (13.25”) L
- Weight 0.7 kg (1.54 lb) in air
- Transducer: 8 mmØ ceramic
- Wavelength: 850 nm
- Power supply: 9-15 VDC (12VDC nominal); 75 mA
- Depth rating: 100 m
- Material: ABS plastic and Delrin
- (1) LISST-ABS acoustic sediment sensor
- (1) Turbidity Plus turbidity sensor
- (1) LISST-AOBS Y-cable
- (1) LISST-AOBS connecting bracket
In The News
Cal Poly, San Luis Obispo Manages Monitoring Efforts in Morro Bay
California Polytechnic State University, San Luis Obispo (Cal Poly, SLO), has been monitoring Morro Bay for decades, and while the monitoring program has changed over the years, the dedication to monitoring the bay has remained the same. 
 
The project started in 2006 as a Packard Foundation-funded initiative to monitor water quality flowing in and out of Morro Bay. The goal at the time was to use the data collected to develop and inform an ecosystem-based management plan in collaboration with the Morro Bay National Estuary Program (MBNEP). 
 
Since the estuary was the focus at the time, researchers were monitoring water flowing into the estuary from Chorro Creek and Los Osos Creek.
Read MoreGreen Water in Green Bay: Using Data Buoys to Monitor the Southern Bay
While the bay of Green Bay has been referred to as the largest freshwater “estuary” in the world, the watershed hosts intensive agriculture and contributes one-third of Lake Michigan’s total phosphorus load. 
 
 The Fox River flows into the bay, carrying excess nutrients largely the result of non-point source runoff from the watershed. With a history of deterioration extending well into the last century, the bay ecosystem suffered significant declines in water quality. 
 
 This, in turn, stimulated major clean-up and ongoing restoration efforts to improve water quality. Tracking these changes is an important aspect of ecosystem management.
Read MoreCross-Border Sewage Contaminated Flows: Monitoring the Tijuana River
The Tijuana River runs across the US-Mexico boundary, flowing into and throughout southern California, carrying with it nutrients and contaminants throughout the estuary. In recent decades, the flows have been heavily polluted with untreated sewage from the City of Tijuana. 
 
The wastewater enters the greater Tijuana River estuary, impacting coastal communities and disrupting the natural environment. In order to better understand these cross-border flows, researchers out of San Diego University sought to monitor the waterway test the capabilities of in-situ sensors to measure the contaminated water. 
 
Natalie Mladenov and Trent Biggs were two of the researchers involved in the project, deploying a real-time monitoring system in May of 2021.
Read More