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There’s a perfect solution for your water monitoring equipment needs. We’re here to help you find it.

 

In-Situ Inc. designs, manufactures, and rents water quantity and quality instrumentation for groundwater, surface water, and coastal waters. Known for innovating top-quality water monitoring equipment, they also provide a full-solution offering for decision-quality data via easy integration with telemetry and data services.

For nearly 40 years, In-Situ products have provided accurate results and reliable operation in harsh monitoring conditions. Applications include aquifer characterization, mining, oil/gas, remediation, aquaculture, and more.

In-Situ offers world-class technical support 24/7 through a global network of regional offices and distributors, and is headquartered in Fort Collins, Colo., USA.

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Total Solution. | Easy Integration. | Full Support.

News

& Blog

New Patented Fluorometer Technology Improves Detection of Harmful Algal Blooms and Tracer Studies

In-Situ has announced a new line of fluorometers compatible with the company’s popular Aqua TROLL 500 and Aqua TROLL 600 Multiparameter Sondes. The line, which will be available soon, includes: Rhodamine WT, Chlorophyll a, Phycocyanin (BGA-PC), and Phycoerythrin (BGA-PE) sensors, ideal for lake and river monitoring as well as coastal studies. The sensors will be … Continued

5 Ways to Improve Your Next Aquifer Test Results

A thorough hydrogeologic site characterization is critical to the design of many engineering projects, from mine dewatering and groundwater treatment systems, to industrial water wells and aquifer storage projects. An aquifer test is a key component of the characterization process, yielding hydrologic data vital to system designs. When tasked with conducting an aquifer test, many … Continued

How Much to Purge?

A modeling approach to purge volume guesstimation A novel approach to determine an optimum groundwater purging and sampling strategy was published last year in the Journal of Hydrology (Qi et al, 2017). This paper uses a numerical model to estimate the “representativeness” of the groundwater sample at different purge times. The model was tested against … Continued

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