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APPLICATION SUCCESS STORY


Environment Canada's logo

For Environment Canada, Crystal Ball is a Crucial Tool for Chemical Risk Assessment

APPLICATION: Environmental risk assessment of chemicals

SUMMARY: Environment Canada applied Crystal Ball in an investigation of the effects of ammonia in aquatic environments. Crystal Ball was used to generate distributions for the raw hydrological and effluent data and to combine these distributions to generate a set of hypothetical river conditions for a plume model.

RESULTS: With the aid of Crystal Ball, Environment Canada has determined that ammonia released in large quantities under some river conditions is toxic to aquatic life. A risk management process will be developed to discuss reduction strategies with Canadian municipalities.


Miles Constable, a Senior Toxic Substances Officer for Environment Canada in Edmonton, coordinates teams of professionals conducting ecological risk assessments of chemicals on Environment Canada's Priority Substances List. The list is developed jointly by Environment Canada and Health Canada to address chemicals suspected of being either inherently hazardous or released in such large quantities as to pose a hazard to the environment. This assessment process determines the entry, exposure, effects and risks of chemicals to Canada's environment.

If a chemical released into the environment is determined to be toxic, Environment Canada negotiates with the industrial or municipal sector releasing the chemical to reduce quantities released. This can have a major economic impact on that sector, as reduction strategies can vary from simple technological improvements in facilities to "virtual elimination" of the chemical from the Canadian environment, in essence a ban on the release of the chemical.

With such serious consequences, Environment Canada must conduct a balanced assessment of the hazards that a chemical poses to various Canadian ecosystems. This balanced assessment includes an open and transparent accounting of the uncertainties that exist regarding the effects of the chemical to biota. In 1997, Environment Canada established a methodology or "tool box" to help conduct probabilistic risk assessments. When Miles Constable was tasked with putting together a team to complete a risk assessment of ammonia in aquatic environments, his first decision was to hire an environmental statistics consultant to help develop the assessment. The consultant recommended Crystal Ball as a powerful statistical tool that could propagate sources of variability and incertitude through environmental exposure models.

Ammonia is a common component of sewage effluents that are typically released into waterways. Only three case studies were available for use: two had very good field monitoring data and one had a good ammonia profile. Miles Constable decided that it would be necessary to model the sewage dispersion profile for the third case study as a typical Canadian river because of the lack of in-stream monitoring data. Crystal Ball formed a key component of this modeling effort.

The modeling case study had a good profile of ammonia concentrations through a sewage effluent plume for a single sampling. Miles Constable, his group, and the consultant developed a set of spreadsheets containing hydrological data (depth, width, flow rate, temperature and pH), and sewage effluent data (effluent flow rates, ammonia concentrations, and temperature) from government monitoring records and the sewage treatment plant. They wanted to estimate the ammonia concentrations in the plume under a large number of hypothetical flow conditions that could be expected in the river.

Crystal Ball was used to determine the statistical distributions inherent in the hydrological and sewage effluent data. Once the distributions were established for the most important variables, Crystal Ball was used to generate 500 data sets of hypothetical flow and effluent conditions based on the distributions. They then entered the 500 data sets into a plume-modeling program (CORMIX 3) to estimate ammonia concentrations downstream of the outfall for each of the river flow conditions.

Crystal Ball proved very useful for generating distributions for the raw hydrological and effluent data and combining these distributions to generate a set of hypothetical river conditions. The group developed a series of ammonia distribution predictions for each month of a hypothetical average year and were able to use this information in predicting the toxic risk to aquatic biota exposed to the sewage effluent plume. "While it was tedious work to put together the data set," said Constable, "it was also intriguing to see if the approach would work and if we had enough data to properly generate an average monthly flow and effluent regime for the modeled location."

The Environment Canada team then used Crystal Ball to develop larger data sets for their final risk analyses and to generate the final predictions of risk. First, they used Crystal Ball to generate Cumulative Density Functions (CDF) of the probability of being in a specific range of concentration. They also generated a relationship between toxicity and ammonia concentration for a number of different species. Next, they combined these two CDFs to provide a relationship of probability of a toxic impact versus the percentage of species affected. This was the crux of the project, to determine the risk of a toxic impact to an aquatic community from the release of sewage effluents.

For this final analysis they chose to use sets of 300 ranges for the CDFs. They then ran Crystal Ball with the number of trials set to 10,000 to develop a large enough data set to ensure a good distribution of data across the ranges. Crystal Ball was used to predict the probability of an ammonia concentration being within a given range and the percentage of species that would be affected.

The result was a set of probabilities of a toxic impact at different distances or locations from the sewage outfalls. This enabled Environment Canada to show that ammonia, under some conditions, posed an unacceptable risk to aquatic biota, and was thus toxic. Following the official release of the assessment report, a risk management process will initiate discussions with Canadian municipalities on risk reduction strategies.

Miles Constable cites the intuitive user interface, the distribution selection gallery, the speed of simulations, and the linkage to Microsoft Excel as his favorite Crystal Ball features. "With modern PCs, we could run multiple tests in a day, " he said. "We would not have been able to conduct our probabilistic risk assessment without the use of Crystal Ball. It was really the crucial tool for the job. For those not current with statistics or with Crystal Ball I would strongly recommend a training course on the program. It may surprise you with its capabilities."

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