Cincinnati Gas & Electric Co. v. Environmental Protection Agency

578 F.2d 660
CourtCourt of Appeals for the Sixth Circuit
DecidedJune 29, 1978
DocketNos. 76-2090, 77-1367, 76-2232, 77-1361, 76-2241, 77-1357, and 76-2278
StatusPublished
Cited by3 cases

This text of 578 F.2d 660 (Cincinnati Gas & Electric Co. v. Environmental Protection Agency) is published on Counsel Stack Legal Research, covering Court of Appeals for the Sixth Circuit primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Cincinnati Gas & Electric Co. v. Environmental Protection Agency, 578 F.2d 660 (6th Cir. 1978).

Opinion

EDWARDS, Circuit Judge.

This opinion deals with certain additional issues presented in 23 industry petitions covering 32 major power and industrial companies in Ohio objecting to the United States EPA’s plan for control of SO2 pollution in Ohio. These additional issues concern only point sources of SO2 pollution in Ohio’s rural areas or areas with complex terrain. This opinion should be read as supplementary to the opinion of this court dated February 13,1978, Cleveland Electric Illuminating Co., et al. v. Environmental Protection Agency, et al., 572 F.2d 1150 (6th Cir. 1978).

Our focus herein is upon the following petitioners and the designated facilities belonging to them. These petitioners protest certain features of the United States EPA model (MAXT-24) employed for predicting plant pollution in rural and complex terrain areas:

Nos. 76-2090, 77-1367:

Cincinnati Gas & Electric Co., all facilities (Hamilton & Clermont Counties). Columbus & Southern Ohio Electric Co., all facilities (Athens, Coshocton, Picka-way Counties).
Dayton Power & Light Co., all facilities not covered by opinion dated February 13, 1978 (Adams County).
Ohio Edison Co. (Jefferson County) Sam-mis Plant only.
Ohio Power Co., all facilities (Washington and Morgan Counties).

No. 76-2278:

E. I. du Pont de Nemours & Co., all facilities (Hamilton County).

Nos. 76-2232, 77-1361:

Shell Oil Co., all facilities (Washington County).

Nos. 76-2241, 77-1357:

Austin Powder Co., all facilities (Vinton County).

The MAXT-24 model (Second Maximum 24-Hour Dispersion Model with Terrain Adjustments) is designed for use in predicting SO2 pollution resulting from single sources located in rural areas; Unlike the RAM model employed in urban areas, which we dealt with in Cleveland Electric Illuminating Co., supra, MAXT-24 does not provide estimates of comparative contributions to total SO2 pollution from a number of point sources. The MAXT-24 model treats each point source as an isolated problem, and only general background SO2 pollution data are added into the formula.

In other respects the MAXT-24 model strongly resembles the RAM model.1 Thus, like RAM, MAXT-24 starts with a solid ascertainable data base, namely, the established design capacity of the power or steam generating plants in question related to the sulfur content of the fuel used by such plants. Emissions data are developed from these factors. Subsequently, stack height, wind, weather, and terrain data are added. Like RAM, MAXT-24 employs a Gaussian plume formula and assumes vertical and horizontal dispersion of the pollution plume. It employs the Pasquill-Gifford stability classifications and coefficients.

Like RAM, the MAXT-24 model was designed by United States EPA largely as a result of industry criticism of the use of rollback modeling. As was true in relation to the RAM results, the results of use of MAXT-24 were generally less strict than those contemplated by the 1972 and 1974 Ohio EPA SO2 regulations.2

[662]*662Indeed, the comments this court made in Cleveland Electric Illuminating Co., supra, in Section 3 of the opinion are largely applicable to EPA’s adoption of MAXT-24 and we cite and rely on said Section 3 in holding that in general (and with one exception noted below) the EPA’s adoption and use of the MAXT-24 model is not arbitrary or capricious and, like the use of the RAM model, must be affirmed by this court.

Despite the discussion above, we are not certain that any of the petitions we deal with in this opinion seriously disputes the general validity of the MAXT-24 model. What these petitioners clearly do contend is that the MAXT-24 model results are badly skewed to their great economic disadvantage by 1) the Class A assumption employed to estimate pollution dispersion in the least stable wind condition, and 2) the failure of EPA to employ the half ground displacement theory in estimating pollution impact on hilly terrain.

I THE CLASS A ASSUMPTION ISSUE

The MAXT-24 model makes use of a set of six coefficients for determining plume dispersal. The classes of coefficients employed were based upon six different weather conditions. The term Class A is employed to describe both the least stable weather condition and the set of assumptions which is based on the most direct and quickest impact of the pollution plume upon ground level with the least prior dispersal.

The six Pasquill-Gifford coefficients employed in MAXT-24 are derived from a Nebraska study made in the 1950’s and are referred to by United States EPA as “time-tested.” What this defense appears to ignore, however, is that petitioners in this instance (contrary to the general attack upon the six coefficients employed in RAM) are not objecting to the use of the coefficients; they are attacking the accuracy of one set of them — the Class A set associated with “gusty winds.” Specifically they claim that the Class A assumption is fallacious in that it assumes a longer period of downward draft than occurs in fact and fails to make allowance for the lateral dispersal which would accompany such a vertical wind at the point of impact.

The lead brief for the utilities presents the case thus:

In all modeling of rural power plants, EPA utilized dispersion coefficients under Class A stability conditions which have no support in data, which have been repudiated by most modelers and which are demonstrated inaccurate by this record. As applied to this rulemaking, this seemingly simple assumption is exceedingly important because, for almost Vs of the power plants in Ohio, it was the determining factor in establishing emission limits.
[663]*663 The meaning of “Class A. ”
Diffusion models can account for thousands of bits of data. Most important are meteorological data of which stability classes are an aspect.
Specifically, stability classes are categorizations of the atmosphere’s ability to disperse plumes. These classes are divided into six categories ranging from extreme dispersion of plumes (Class A) to minimum dispersion (Class F). Under Class A, a plume is assumed to disperse very rapidly to the ground level before there is any substantial dilution. This, in turn, leads to predictions of high ground level concentrations. The fundamental issue, therefore, is whether the Class A assumption describes the manner in which plumes disperse at rural power plants and whether the phenomena it depicts really occur.
Brief of Utility Petitioners at 31-32 (emphasis in original).

Petitioners then detail the results of three separate studies which they claim attack and undermine the validity of the Class A coefficients, and generally urge substitution of Class B coefficients.

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578 F.2d 660, Counsel Stack Legal Research, https://law.counselstack.com/opinion/cincinnati-gas-electric-co-v-environmental-protection-agency-ca6-1978.