United States Environmental Protection Agency Office of Air Quality Planning and Standards Research Triangle Park, North Carolina 27711 Date: May 4, l982 SUBJECT: Region III's State Air Director's Modeling Workshop FROM: Richard G. Rhoads, Director /s/ Monitoring and Data Analysis Division (MD-14) TO: Ray Cunningham, Chief Air Programs and Energy Branch, Region III Tom Helms and I appreciated the opportunity to discuss modeling issues with our States in February, and your April 17 memo summarizing those discussions will be most helpful as we attempt to resolve the issues. Recognizing that "ultimate resolution" may never occur, I want to take this opportunity to clarify and expand on some of the issues that arose during the course of the meeting and to provide some of my personal views on those issues. Also, I want to provide you with a brief status report on some of our modeling activities. Please note my "personal views" are for discussion purposes only, and are not intended to create or modify Agency policy, since complex technical and legal issues may be involved. I will address the principal issues in the order listed in your April 7 memo: 1. Consistency vs. Flexibility As a long-term goal, I expect that most States would adopt a Modeling Guideline (similar to EPA's, Connecticut's, or Maryland's) which EPA could approve as part of the State's "Generic SIP." Also, as permitted by the "Guideline on Air Quality Models," State guidelines would allow flexibility where technical uncertainty or the need for case-by-case technical judgement exists. However, to minimize interstate disputes, these guidelines should be carefully reviewed and differences between adjacent States should be minimized before the EPA approval is granted. Also, to ensure equitable treatment of air pollution sources by all States, no source should find it advantageous to locate in certain States because they take a liberal view of CAA requirements. After EPA approval, the State would be legally bound to follow the guideline. Even though EPA would not review individual State decisions, some overview would be desirable since decisions could tend to establish precedents for similar sources or terrain/climate settings in other parts of the country. One way to handle the overview is through a systematic audit program, though we have reservations about how effective such programs really are. We would like to explore this matter with you further, and consider the pros and cons of various options. Regardless of whether an audit or related program existed, the State would bear the burden for justifying its decisions to the public, industry, and other States (which would likely require a Section 126 type of action). EPA would not routinely be involved after the State guideline was approved. If gross misuse of discretion, or if numerous clear technical errors became apparent in a State's actions, EPA would have authority to withdraw approval of the guideline or could find the SIP deficient. I do not anticipate that EPA would unilaterally initiate action to disapprove a State's decision (except possibly to protect a Class I area). Instead, I expect that an industry, a citizen's group, or another State would object to the decision and essentially force EPA to take a position. Under this concept, the degree of consistency vs. flexibility for intra-state decisions would be defined by the State's guideline. For intra-state issues, I anticipate that EPA would be reluctant to overturn a State's decision. Differences between adjoining States, though, should be minimized. Where there is a clear difference of technical opinion, it is likely that EPA Regional Offices will have to assume the role of arbitrator and attempt to resolve the conflict, as has been done in the past. During the interim period, while EPA continues to make permitting and individual and SIP emission limit decisions, EPA Regional Offices must exhibit a high degree of consistency in order to comply with Section 301 of the Clean Air Act. In these actions, I believe that EPA has the burden to show valid technical reasons if there are apparent inconsistencies among its individual decisions. We are sympathetic to the need for flexibility in interpreting modeling results. Assuming that similar concentration estimates are calculated by the parties involved, reasoned judgments are desirable. Modeling should not be the sole basis for decisions in all cases. However, for the interim, we are bound by the CAA and probably by EPA regulations. Over the next several years as these laws and regulations are reviewed and revised, additional flexibility will almost certainly be forthcoming. Nevertheless, the reasonable interpretation of concentration estimates within the flexibility allowed by current regulations is desirable and encouraged. 2. Use of Model Uncertainty in Decision-Making EPA is devoting considerable effort to quantifying the uncertainty in models. The initial results of that effort should be available about October 1, 1982. We also have in-house and contractual efforts underway to define ways in which uncertainty could be incorporated into the decision-making process. Preliminary results of this work will be available in about 1 year. This work is considering not only error bounds, but also other statistical concepts and is concerned with the application and interpretation of these techniques. I recognize that some States will desire to use only "best estimates" in order to provide firm criteria and certainty to their program, and to avoid the potential for litigation on decisions that are based on other than the "best estimate." I also recognize the desire of other States to consider factors other than uncertain air quality estimates in their decision process. There is no easy resolution of the dilemma other than to provide each State with the factual information on uncertainty and allow them to use it as they see fit. The first time any decision is based on other than the "best estimate," litigation is nearly inevitable. I would caution any State to consult with EPA, and to make sure that the decision is clearly defensible as being in the public interest before explicitly accounting for modeling uncertainty in a regulatory decision. It should be noted that explicit consideration of uncertainty implies that we will accept some probability, or "risk," that the ambient standards will be violated. We are moving in that direction now. The form of the revised ozone standard implies that a 0.25 probability of violation in any 1 year may be acceptable. A similar probability appears to be implied by our proposal to approve emission limits for copper smelters based on the "multi-point rollback" technique.* Draft issue papers on the ExEx modeling technique discuss acceptance of probabilities of violation of 0.1 (for primary standards) and 0.2 (for secondary standards). Clearly, as the air pollution control community departs from the concept that a standard may never be exceeded, we must address the issue of what constitutes an acceptable risk. Consensus on definition of an acceptable risk will in turn make it much easier to incorporate model uncertainty into our decision-making process. As progress on our efforts to quantify uncertainty and to incorporate uncertainty into our control programs is made, we will keep you informed. We will make an effort to promptly revise our guidance in these areas as new policies evolve. ------------------------- *See December 17, 1981 CFR notice on New Mexico Plan for Nonattainment Areas. 3. Clearinghouse It is a credit to the capability of our people that the States were "astonished" that the clearinghouse is staffed with only two people. So far, we seem to be able to handle the demand with that staffing level. This is in large measure due to the willingness of the Regional Office staffs to carefully screen issues before referring them to the clearinghouse. In essence, the Regional Offices already augment the clearinghouse staff in their efforts to ensure consistency. We assume that the Regional Offices will take on an expanded clearinghouse role to ensure consistency as the States assume greater modeling responsibilities. It may become necessary to increase clearinghouse resources in the future. If that becomes necessary, we consider the clearinghouse of sufficient importance that we would increase the staff even in the face of reduced overall resources. Similarly if there is a broader range of issues (or more issues of a particular type) with which the clearinghouse should be dealing, we would like to consider your thoughts and those of Region III States on the matter. However, I hope that our efforts to delegate increased responsibility and authority to the States, possibly by approval of State Modeling Guidelines, will alleviate some of the increased clearinghouse burden which you anticipate. If that does not happen, then we should seriously consider options such as the standing work group which you mentioned. 4. Miscellaneous The need for guidance on the review of modeling studies is appropriate for our consideration. We would like to review this need with you in more detail and perhaps include it in our clearinghouse activities for FY-83. We consider a newsletter or notebook to be a good idea and have examined various options for initiating this type of information transfer. However, it is uncertain whether such a broad dissemination of information is consistent with EPA's current policy on publications, unless formal clearance is obtained. We will be happy to consider any ideas you have on the matter. In the interim "Regional Office Workshop Reports" of the type we have sent to you in the past may have to suffice. Finally we think the idea of regionalized State workshops is worthy of further consideration. Perhaps the several Regional Office workshops that have been held in the past could serve as a model. States with mutual concerns in the Ohio River Valley and Appalachians could serve as a trial workshop. Would you be interested in coordinating such a workshop with Regions IV and V for sometime in early FY-83? We would like to explore this matter further with you. cc: W. Barber T. Helms D. Tyler