Environmental

It is ever more important for us to understand our environment, how human activities may affect it, and how we can reduce the damage. Environmental problems are often complex, having many interacting parts - human activities that release pollutants, transport via air, water or land; chemical transformation; physical and biological effects on ecosystems and human health; and the economy that drives the activities and pays for clean up. 

To gain a clear understanding and effective policies for improving the environment, we need careful quantitative analysis. Usually, multidisciplinary teams are involved in building models, and many stakeholders and the general public care about the results. Models need to be transparent to help modelers, decision makers, and stakeholders understand the assumptions and results. A grounding in science is essential. But, uncertainties are inevitable, and should be included in our models.

Because of these needs — to create quantitative models of complex systems, that are transparent, and represent uncertainty — many experienced environmental modelers have chosen to use Analytica. Below are a few of the interesting and important models they have created to help illuminate important issues.