Research and Development
  Description

When existing data are insufficient, Cambridge Environmental may design and conduct research. We are expert in elaborating and testing hypotheses, mindful at once of the particular information sought, the value of that information, and practical and scholarly means for generating it. Cambridge Environment also develops methods for environmental or epidemiologic assessment, typically by creating computer software.

Sample Projects
  1. Sponsored by the New Jersey Department of Environmental Protection (NJDEP), we developed expert system software to predict the likelihood of groundwater contamination at sites where underground storage tanks (USTs) were under removal. To develop this system, we reviewed and analyzed records describing hundreds of USTs throughout New Jersey. Roughly twenty chemical, soil, climatic, site characteristic parameters were evaluated. Of these, we determined that exceedance of soil standards for BTEX compounds (benzene, toluene, ethylbenzene, and xylenes), the presence of ground cover, and retarded contaminant transport time were significantly predictive parameters. We used these parameters within the expert system to develop a trigger criterion to determine the likelihood of groundwater contamination at a given site (and hence the need for groundwater sampling during removal of a UST). We codified this expert system as an MS-DOS application that queried the user for relevant data regarding a UST removal, processed the data within the expert system, and provided the user with information regarding the potential for groundwater contamination. In developing the expert system, Cambridge Environmental worked closely with the NJDEP to screen UST files, to develop the software interface, to familiarize its staff with the operation and capabilities of the expert system software, and to develop a users’ manual for the software program.

  2. In another research and development project, Cambridge Environmental was funded by the National Institute of Occupational Safety and Health (NIOSH) by means of a Small Business Innovative Research (SBIR) Grant. NIOSH asked us to construct models of indoor air pollutant dispersion in complex, interconnected buildings (such as parts of a factory), and to incorporate these into an easy-to-use, personal computer-based program. We responded by developing a series of graphical elements within Simulink™, a toolbox application of the Windows®-based program Matlab®. The library of graphical elements includes icons of individual rooms that can be linked together with flow (ventilation) elements. Clicking on room elements provides the user with the ability to specify contaminant sources and establish modeling parameters (such as room dimensions). Multiple rooms are connected by flow element icons, which are opened to specify rates of air exchange. Simulink™ transforms the underlying graphical Windows®-based interface into the series of governing differential equations, which it then numerically integrates to model contaminant concentrations as a function of time. The project included extended field visits with NIOSH personnel to demonstrate the use of the modeling system and to gather suggestions and feedback for inclusion in the project report and users’ manual.

  3. A private company sponsored our research on the potency of asbestos as a cause of lung cancer. Existing estimates of this parameter had not been updated to account for results from about a decade of epidemiologic research; and prior attempts to combine epidemiologic studies were only semi-quantitative. We assimilated dose-response data from fifteen groups of asbestos-exposed workers detailed in 22 publications, using maximum likelihood techniques to obtain measures of the relationship between cumulative exposure to asbestos and relative risk of lung cancer. Our meta-analysis (Lash, Crouch, and Green, Occup. Environ. Med. 54:254-263, 1997) explored sources of heterogeneity in the dose-response coefficient, generating a potency estimate under a fixed-effect model and another under a random effects model. These estimates were 24-fold smaller and fourfold smaller, respectively, than the OSHA (1986) estimate relied upon for rule-making.

  4. In another project, in collaboration with researchers from the University of Massachusetts/Lowell, Cambridge Environmental studied contaminant loading to the Massachusetts Bays via atmospheric deposition. We developed detailed estimates of the rates at which various nitrogen-containing compounds deposit to the Bays. We found the atmospheric deposition of nitrogen to be small compared with other loadings, but of potential importance during warm weather months when surface waters are depleted of nitrogen. We also evaluated measurements of polycyclic aromatic hydrocarbons and collected samples for an evaluation of mercury deposition.

 

Learn more

 

home publications links