Arthur P. Mizzi, Ph.D., J.D., CCM

Environmental Attorney and Consultant

J.D., University of Colorado School of Law

M.S. and Ph.D., Applied Mathematics, University of Colorado

B.A. and M.S., Environmental Science, University of Virginia

Phone: 303-903-5544

Overview:

Compliance with the complex and ever changing array of environmental regulations requires an attorney with an intimate understanding of the legal and technical requirements. As an attorney, scientist, and Certified Consulting Meteorologist, Dr. Mizzi has a unique combination of skills that provides efficient and effective representation of his clients. Dr. Mizzi’s technical expertise includes: meteorology, hydrology, geology, applied statistics, and numerical modeling. Dr. Mizzi has worked for nearly thirty years on environmental problems that range from assessing petroleum hydrocarbon concentrations along the continental shelf, to conducting hydrographic surveys of Virginia’s rivers, to developing sophisticated computer models of the atmosphere.

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Dr. Mizzi has worked as an environmental attorney and consultant on compliance issues related to all environmental media.

His practice emphasizes air and water quality and includes permitting, compliance advising, regulatory development, expert witness work, brownfields redevelopment, and all aspects of environmental litigation and administrative defense. He has assisted clients that include: petroleum and natural gas producers, electric power generators, mining companies, aggregate producers, computer chip manufacturers, airports, waste disposal facilities, Portland cement companies, wind turbine blade manufacturers, and printing companies.

Publications List:

Dr. Mizzi has an extensive list of legal and technical publications. Click here for a Publications List.htm.

Current Projects:

· Impact of climate change on regional wind energy resources: Dr. Mizzi has conducted an ensemble analysis of the IPCC Fourth Assessment Report climate model simulations to assess the expected

impacts of climate change on regional wind energy resources. The results of that analysis, the 50‑year mean change in wind power density, over the United States shows areas of positive and negative impact. The uncertainty of those results are assessed with an analysis of the ensemble variance (shown below).

Similar analyses can be prepared for any area of interest. If the geographic scale of the area of interest is small compared to the IPCC climate model grid spacing, dynamical downscaling is used to obtain the fine scale features.