Environmental Process Analysis (PDF)

Enables readers to apply core principles of environmental
engineering to analyze environmental systems

Environmental Process Analysis takes a unique approach,
applying mathematical and numerical process modeling within the
context of both natural and engineered environmental systems.
Readers master core principles of natural and engineering science
such as chemical equilibria, reaction kinetics, ideal and non-ideal
reactor theory, and mass accounting by performing practical
real-world analyses. As they progress through the text, readers
will have the opportunity to analyze a broad range of environmental
processes and systems, including water and wastewater treatment,
surface mining, agriculture, landfills, subsurface saturated and
unsaturated porous media, aqueous and marine sediments, surface
waters, and atmospheric moisture.

The text begins with an examination of water, core definitions,
and a review of important chemical principles. It then
progressively builds upon this base with applications of Henry's
law, acid/base equilibria, and reactions in ideal reactors.
Finally, the text addresses reactions in non-ideal reactors and
advanced applications of acid/base equilibria, complexation and
solubility/dissolution equilibria, and oxidation/reduction
equilibria.

Several tools are provided to fully engage readers in mastering
new concepts and then applying them in practice, including:

* Detailed examples that demonstrate the application of concepts
and principles

* Problems at the end of each chapter challenging readers to
apply their newfound knowledge to analyze environmental processes
and systems

* MathCAD worksheets that provide a powerful platform for
constructing process models

Environmental Process Analysis serves as a bridge between
introductory environmental engineering textbooks and hands-on
environmental engineering practice. By learning how to
mathematically and numerically model environmental processes and
systems, readers will also come to better understand the underlying
connections among the various models, concepts, and systems.