Sigma 900 MAX All Weather Refrigerated Sampler, 115 Vac

Applications
Hach Sigma 900 MAX All Weather Refrigerated (AWR) Samplers are ideal for NPDES stormwater compliance, pretreatment compliance, CSO studies and monitoring, industrial wastewater discharge, and WWTP process control.

Monitor and Manage
Easy, menu-type programming is made via a large 8-line by 40-character backlit display. The Sigma 900 Max AWR sampler can be equipped with a variety of factory-installed options to monitor and log, for example, rainfall, level, temperature, pH or ORP, and dissolved oxygen. Depending on model, up to seven external analog signals can also be logged. As many as 116,000 readings may be recorded. RAM memory is automatically allocated as necessary during operation. Flash memory is used to install software enhancements (available on the Internet), without returning the sampler to the factory.

Unique Constant Time/Variable Volume Sampling
The patented* Constant Time/Variable Volume sampling method varies sample size in proportion to flow rate— flow-weighted samples are captured on the first try. This method closely simulates manual grab samples. Limitations of conventional samplers, such as insufficient sample volumes during low flow periods or truncated sample time during high flow periods, make capturing short-lived, illicit discharges, or significant storm events difficult. The Constant Time/Variable Volume feature takes regularly timed, proportional samples depending on the flow rate— sample volume increases and decreases with the flow, ensuring that representative samples are taken at even intervals throughout the sampling period. (The factoryinstalled integral flow meter is required for CT/VV sampling.)

Customizable Set Points
Use the Sigma 900 MAX AWR sampler to collect samples in response to changing levels of selected parameters— set high and low trip points to immediately collect when a parameter exceeds preset limits. Samples may also be taken only when the parameter exceeds these settings. Out-of-limit sample can then be segregated from normal samples to help quickly identify problem sources.