New Long Term Monitoring Optimization Software Helps Customers Reduce Groundwater Well Monitoring  

Groundwater monitoring

New Long Term Monitoring Optimization Software Helps Customers Reduce Groundwater Well Monitoring  

09 Apr, 2010

Published over 16 years ago. See the latest and most current information on Groundwater monitoring.

Locus Technologies (USA) announce the release of its Long Term Monitoring Optimization (LTMO) software that helps customers cut the cost of groundwater remediation projects. LTMO is built-in to EIM, Locus’ web-based application for managing sampling, analytical and geological data associated with environmental projects.

Long term monitoring of contaminated groundwater is one of the biggest costs of many environmental projects, often requiring that hundreds or more wells be sampled at regular intervals, with each sample event costing hundreds of dollars. Over time, changes in site conditions may mean the number of sampled wells or the frequency of sampling can be reduced. A number of analytical tools and approaches exist to identify redundant wells and pinpoint opportunities for sampling and monitoring reductions. MAROS (Monitoring And Remediation Optimization System) software application, developed by the Air Force Center for Engineering and the Environment, is one of the most popular of these tools. With the LTMO tool, Locus has incorporated many of the techniques and methodologies of MAROS, including trend analyses and the Delaunay triangulation method.

The Locus EIM LTMO tool offers several distinct advantages over MAROS and other existing stand-alone or spreadsheet-based applications that perform similar analyses. First of all, there is no need to export data in a special format to another application. All analyses are performed under the umbrella of EIM. Secondly, robust integrated Web 2.0 graphical tools and reports provide a wealth of options for examining the results of the analyses, including extensive backup data that can be supplied to regulatory agencies as needed. Finally, the results of any analysis can be saved and easily pulled up for review or modification.

IET 36.2 Mar/Apr 2026

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