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Federal Highway Administration |
Transportation/Air Quality |
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Final Report |
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Prepared by |
I. Introduction
A. BackgroundII. Summary of Findings
B. Approach
C. Report Structure
A. Carbon Monoxide
B. Ozone
C. Particulate Matter-10
Although air quality has been mainly an urban concern, it is beginning to become an issue that rural areas will also have to manage. Several rural counties have exceeded the national standard for one or more air pollutants. The purpose of this study is to increase understanding of how many rural areas are facing this problem and to identify the main causes for their exceeding air quality standards. The study also focuses on transportation's contribution to the air quality problems in rural areas and how these areas are meeting certain Clean Air Act requirements related to motor vehicle emission sources. In order to build this understanding, the research identified rural nonattainment and maintenance areas: how many are there, where are they, and are they isolated rural areas or donut areas? (These two different types of areas are defined in Section III.) Once the delineation of areas was accomplished, the study's in-depth evaluation of air quality and transportation conformity issues was restricted to only isolated rural areas.
The research reported in this paper accomplished the following:
The conformity provisions of the Clean Air Act are intended to integrate transportation and air quality planning in areas that are designated by the US Environmental Protection Agency (EPA) as nonattainment or maintenance.1 The transportation conformity process establishes a connection between transportation planning and the emissions levels for transportation sources that are established in the SIP. These emissions levels (or "budgets") in the SIP represent the maximum amount of emissions that can be generated from on-road transportation sources (e.g., cars, trucks, public transit) and still allow the area to attain or maintain the air quality standards. Under the CAA, nonattainment and maintenance areas must demonstrate through the conformity process that emissions projected from their transportation investments, strategies, and programs will be at or below the emissions budgets in the SIP. In order to comply with the National Ambient Air Quality Standards, federal, state, and local governments must take action. These actions, or control measures, are typically identified in the SIP. Depending on the classification and severity of the air quality problem, some areas may find that they need to reduce emissions from transportation sources. One option for reducing emissions for on-road mobile sources is to limit vehicle miles traveled (VMT). VMT is the sum of distances traveled by all motor vehicles in a specified region. In order to address VMT, some states have included Transportation Control Measures (TCMs) as strategies that are specifically identified and committed to in the SIP. TCMs are strategies that are listed in Section 108 of the Clean Air Act and include projects such as public transit and ride-share programs. Areas might also invest in other technology-based strategies that will reduce transportation-related emissions such as inspection and maintenance and fuels programs.
1 A nonattainment area is a region that does not meet (or that contributes to ambient air quality in a nearby area that does not meet) the national primary or secondary ambient air quality standard for the pollutant. The area must take specified actions within a certain time frame to reduce emissions and attain the National Ambient Air Quality Standards (NAAQS). A maintenance area is a region previously designated as nonattainment, and subsequently redesignated to attainment.
To meet the objectives of this study, research was conducted to determine the classification of areas. A comprehensive survey was designed, administered, and analyzed. The entire process was overseen by officials from the FHWA and EPA Office of Transportation and Air Quality (OTAQ).
Study oversight was provided by officials from the FHWA and EPA-OTAQ. The following officials were involved in the study oversight:
The oversight group provided input and validated the study at key points, including study inception, survey design, and presentation of findings.
August 2001 data on rural nonattainment and maintenance areas was compiled from the EPA Greenbook website (http://epa.gov/oar/oaqps/greenbk/). The EPA Greenbook data included information on all nonattainment and maintenance areas in the United States for six pollutants: ozone, carbon monoxide, nitrogen dioxide, sulfur dioxide, particulate matter, and lead. The data also distinguished between nonattainment and maintenance areas that are part of a Metropolitan Planning Organization (MPO) and those that are not. In this research, the three transportation-related pollutants examined were carbon monoxide, ozone, and particulate matter-10 (PM-10). Although nitrogen dioxide is also a pollutant emitted from transportation sources, there are no isolated rural areas violating the nitrogen dioxide air quality standard. A list of nonattainment and maintenance isolated rural areas was compiled.
In order to differentiate between the isolated rural areas and the donut areas, many sources of information were used. (The two types of rural areas are defined in Section II.) The Association of Metropolitan Planning Organizations (AMPO) was consulted for determining which geographic areas MPOs covered. Organizational websites (where available) were used to determine the exact coverage area of the MPO; an organization without a website was contacted by phone. The MPO areas were mapped out, as were the nonattainment and maintenance areas, to determine if the area was a donut or an isolated rural area. The regional EPA offices were contacted by phone to verify the list of isolated rural nonattainment/maintenance areas and the donut areas. The Code of Federal Regulations was consulted to determine the current air quality classification of the area and to incorporate any updates since the Greenbook data was last updated in August 2001. The analysis and survey conducted was based on designations as of mid January 2002.
In conjunction with the EPA and the FHWA, a survey was developed to determine how isolated rural areas designated as nonattainment or maintenance for one or more national ambient air quality standards are addressing air quality and transportation conformity requirements. The survey specifically addresses Ozone, Carbon Monoxide, and PM-10 isolated rural areas. The main questions addressed in the survey are:
The survey was e-mailed to the state department of transportation and state air quality agency for each area. In addition, regional FHWA and regional EPA offices were also e-mailed a survey. The consultant team answered survey respondents' questions and encouraged those who had not completed a survey to do so.
One jurisdiction from each pollutant nonattainment or maintenance area -- Presque Isle, Maine; Fairbanks, Alaska; and Greenbrier County, West Virginia -- was selected for a follow-up interview. These focused discussions were used to clarify how the area has used the conformity process and to identify the practical issues associated with different aspects of the process. The interviews confirmed the conclusions the study team reached from the survey data.
This report is organized into the following sections:
The following summarizes the major findings of a study that assessed the process and techniques that isolated rural nonattainment and maintenance areas have used to address the requirements of the conformity process. More details and definitions can be found in the body of this report.
Isolated rural nonattainment or maintenance areas represent a small percentage of the total nonattainment or maintenance areas, as shown in Exhibit II-1.
Pollutant | Isolated Rural Areas | Total areas | Percent Isolated Rural |
---|---|---|---|
Carbon Monoxide | 3 | 121 | 2 |
Ozone | 31 | 420 | 7 |
PM-10 | 37 | 106 | 35 |
The exhibit reinforces a predominant view that air quality is primarily an urban concern. However, the portion of PM-10 areas that are isolated rural areas is significant.
In only two cases were more than 5 percent of the PM-10 emissions attributed to on-road mobile sources.
Survey results indicated that in most of the isolated rural areas the PM-10 problem in an area are attributable to sources other than on-road mobile sources such as point source (e.g., factories or power plants). Consequently, transportation-related strategies did not really help these areas to attain the PM-10 standard.
Experience with PM-10 problems in other areas, confirmed through the survey and telephone follow up with the isolated rural areas, indicates that more frequent street sweeping, changing deicing materials or other fugitive dust control measures can be effective in reducing PM-10 emissions. In the case of Presque Isle, Maine, (a PM-10 nonattainment isolated rural area) switching from a native sanding material to calcium chloride was very effective in reducing PM-10 emissions. However, the cost of using the chemical in place of the sand had prevented the local maintenance crews from switching for many years.
The isolated rural areas have limited staff resources to understand and address the implications of nonattainment status.
In general the isolated rural areas do not have professional air quality and transportation planning staff. Local jurisdictions' responsibilities are typically addressed through their public works department or county engineer depending upon their organizational structure. They also rely on the expertise of State Department of Transportation staff in addressing conformity issues.
There is typically limited local data and planning information to perform conformity analysis.
The survey results indicate that in those few cases where analysis is performed, traffic data and growth estimates are derived from traffic counts and other traffic monitoring data reporting such as HPMS. Few areas indicated that they collected local data.
Interagency consultation is helpful when needed, but most survey respondents have never held a meeting of all federal, state, and local agencies because they have not had transportation projects, and therefore, have not needed to determine conformity.
Ten of the 18 survey respondents stated that there had never been a meeting among all agencies for the area, while two respondents explained that they have not needed consultation because the area has had no new projects. Three respondents did not provide any information about consultation for their isolated rural area.
The three respondents that endorsed interagency consultation stated that the process has been helpful in facilitating cross-functionality training and resolving conformity issues. According to the Chief of EPA Region 4's Air Planning Branch, interagency consultation has been very effective in Edmonson County, Kentucky:
Effective interagency consultation was the key to resolving this issue and could have been used as the means to prevent any delay from occurring. Because of this area's limited experience with conformity and the nature of how transportation conformity is implemented in isolated rural areas (i.e., until projects are seriously contemplated there is no need to do conformity analysis), planning parties may not have allowed time for any resolution to potential issues, and may not have effectively consulted with parties who could work to resolve issues until there was no choice but for delay. In this case, it was not until the area ran the conformity analysis and was not able to demonstrate conformity to a budget developed with the Mobile 4.1 emissions model that the area realized that it would be beneficial for them to have mobile emissions budgets developed with the new Mobile 5 emissions model. The efforts for developing new emissions budgets is not extremely burdensome but does require planning, review and approval on the part of various agencies that may not have been alerted to this situation until it was too late.
The Kentucky Transportation Cabinet and air quality partners in the Edmonson County have gained a lot from their interagency coordination and communicate on at least a monthly basis on this area and other areas in Kentucky, even though the area has successfully demonstrated conformity. The partners are taking a more proactive approach and discuss any upcoming projects that may be considered for Edmonson County. In fact, this interagency consultation discussion prevented KYTC (the Kentucky Transportation Cabinet) from performing conformity analysis unnecessarily for Edmonson County in the beginning of 2002. KYTC was under the impression that conformity determinations for isolated rural areas have a three year expiration just as in metropolitan areas. When this topic was discussed on the monthly interagency consultation call, Kentucky transportation and air quality partners were able to discuss and resolve this issue prior to KYTC beginning work for this conformity determination.
In this area, interagency consultation has been very beneficial. We all have a better understanding of the role of each consultation partner with regard to conformity. The air quality agencies are gaining more knowledge of the transportation planning process, and the transportation agencies are gaining more knowledge of the air quality process.
Most areas reported no new Federal non-exempt transportation projects in the past five years.
Consistent with their rural nature, 11 areas indicated no regionally significant projects. Only three survey respondents reported non-exempt transportation projects requiring conformity analysis over the past five years.2 Each of the three areas only had one such project.Two areas used an analysis period shorter than the required analysis period in their conformity determination.
Although conformity analysis requires a 20-year analysis period, two areas reported a shorter timeframe. One area reported analysis 10 years into the future; another reported analysis 15 years into the future.2 The remaining four survey respondents did not answer the survey question related to non-exempt transportation projects. While these could be areas that did not have non-exempt projects, it is possible that the survey respondent did not know the answer to the question.
Federal regulations separate rural areas into two types: isolated rural areas and donut areas. For purposes of this survey, the distinction between an isolated rural area and a "donut" area is as follows. An isolated rural area is an area that is not part of the emissions analysis of any Metropolitan Planning Organization's (MPO) transportation plan or transportation improvement program (TIP). A "donut" area, on the other hand, is an area that is inside a non-attainment or maintenance area boundary, but is outside the metropolitan planning boundary (40CFR93.109(g)).
The following tables show the rural areas currently (March 2003) in non-attainment status.
State | EPA Region | Isolated Rural Areas | Donut Areas |
---|---|---|---|
Alaska | 10 | Fairbanks | |
Oregon | Grants Pass Klamath Falls |
State | EPA Region | Isolated Rural Areas | Donut Areas |
---|---|---|---|
Connecticut | 1 | Windam County (Greater Connecticut Area) | |
Maine | 1 | Hancock & Waldo Counties | Cumberland County (Greater Portland Area) |
Knox & Lincoln Counties | |||
New Hampshire | 1 | Cheshire County | |
New York | 2 | Essex County Jefferson County |
Montgomery and Greene Counties (Albany-Schenectady-Troy Area) |
Maryland | 3 | Kent & Queen Anne's Counties | Calvert and Charles Counties (Washington, DC-MD-VA) |
Virginia | 3 | White Top Mountain (Smith County) | |
Delaware | 3 | Sussex County | |
Pennsylvania | 3 | Crawford County Franklin County Juanita County Lawrence County Northumberland County Schuylkill County Snyder County Susquehanna County Warren County Wayne County |
|
Virginia | 3 | White Top Mountain (Smith County) | |
West Virginia | 3 | Greenbrier County | |
Georgia | 4 | Coweta, Forsyth and Paulding Counties (Atlanta Area) | |
Kentucky | 4 | Edmonson County | Portion of Hancock County (Owensboro area) |
Paducah (Livingston and Marshall Counties) | Scott County (Lexington Area) | ||
South Carolina | 4 | Cherokee County | |
Tennessee | 4 | Rutherford, Sumner, Williamson and Wilson Counties (Nashville area) | |
Michigan | 5 | Allegan County | |
Muskegon | |||
Ohio | 5 | Clinton County | Ashtabula and Portaqe Counties (Cleveland-Akron-Lorain area) |
Columbiana County | |||
Preble County | |||
Delaware and Licking Counties (Columbus area) | |||
Greene and Miami Counties (Dayton-Springfield area) | |||
Stark County (Canton area) | |||
Louisiana | 6 | Grant Parish Lafourche Parish St. James Parish St. Mary Parish |
State | EPA Region | Isolated Rural Areas | Donut Areas |
---|---|---|---|
Maine | 1 | Presque Isle (Aroostook County) | |
Illinois | 5 | Oglesby (La Salle County) | |
Indiana | 5 | Vermillion County | |
New Mexico | 6 | Anthony (Dona Ana County) | |
Colorado | 8 | Telluride (San Miquel County) Pagosa Springs (Archuleta County) Canon City (Fremont County) Aspen (Pitkin County) Lamar (Prowers County) Steamboat Springs (Routt County) |
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Montana | 8 | Columbia Falls (Flathead County) Whitefish and vicinity (Flathead County) Kalispell (Flathead County) Polson (Lake County) Libby (Lincoln County) Lame Deer (Rosebud County) Thompson Falls and vicinity (Sanders County) Ronan area (Lake County) Butte (Silver Bow County) |
Ronan |
Wyoming | 8 | Sheridan County | |
Arizona | 9 | Douglas (Coachise County) Paul Spur (Coachise County) Hayden/Miami (Gila and Pinal Counties) Payson (Gila County) Mohave County Nogales (Santa Crus County) |
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California | 9 | Mammoth Lake (Mono County) Owens Valley (Inyo County) Mono Basin (Mono County) |
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Alaska | 10 | Juneau | |
Idaho | 10 | Sandpoint (Bonner County) Shoshone County (excluding Pinehurst) Pinehurst (Shoshone County) |
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Oregon | 10 | Lake County Grants Pass (Josephine County) LaGrande (Union County) Klamath County (Klamath Falls area) |
|
Washington | 10 | Wallula (Walla Walla County) |
The study team surveyed a sample of the isolated rural areas identified in the exhibit.
The survey was administered to a sample of the carbon monoxide, ozone, or PM-10 nonattainment or maintenance isolated rural areas. The survey was sent to 41 isolated rural areas: 2 carbon monoxide nonattainment or maintenance areas, 6 ozone nonattainment or maintenance areas, and 34 PM-10 nonattainment areas. (Grant's Pass, Oregon is both a carbon monoxide maintenance area and a particulate matter nonattainment area.) For each area, the survey was sent to the corresponding:
A total of 18 surveys were completed, for an overall response rate of 43 percent. However, response rates differed according to pollutant: 100 percent for ozone; 50 percent for carbon monoxide; and 32 percent for particulate matter-10. Below are general conclusions from all surveys, as well as conclusions drawn for each of the pollutants.
Only one of the two carbon monoxide maintenance or nonattainment areas responded to the survey, as shown in Exhibit IV-1.
State | County | Area Name | Status | Class | EPA Region | Completed Survey |
---|---|---|---|---|---|---|
Alaska | Fairbanks Ed | Fairbanks | Nonattainment | Serious | 10 | No |
Oregon | Josephine | Grants Pass | Maintenance | N/A | 10 | Yes |
Over 50 percent of Grants Pass's carbon monoxide emissions is caused by on-road mobile sources. VMT is projected to grow 0.8 percent per year between 1993 and 2015, as determined by a model developed in collaboration between the Rogue Valley Council of Governments and the Oregon Department of Transportation. Grants Pass has a maintenance SIP, which contains one transportation control measure: wintertime oxygenated fuel. The survey respondents also indicated that the one federal action that has helped the area maintain air quality standards is improved vehicle emissions standards on new cars.
Grants Pass used the less than 1990 test and the build/no-build test in its last conformity determination. For years beyond the timeframe of the SIP, Grants Pass uses the budget test and demonstration using air quality modeling. It is not clear from the survey responses why Grants Pass appears to have used both the budget test and an air quality modeling demonstration for conformity in years past the SIP.
Grants Pass, like all Oregon local jurisdictions, is required to develop a transportation system plan (TSP) and receives financial support to do so. This requirement has likely led to an improved capacity to handle planning efforts such as the conformity process.
While the sample size for carbon monoxide nonattainment and maintenance areas is small, there may be opportunity for Fairbanks to learn from Grants Pass. Since both areas are in EPA Region 10, EPA officials could coordinate a meeting between officials in both areas.
A survey respondent from the FHWA Division office made the following comment:
The FHWA Division must rely heavily on the Oregon DEQ and USEPA for information on how and when areas are designated as non-attainment or maintenance areas and how conformity needs to be addressed in each. If new guidance were developed, the most useful would be something that could make it easier to track the status of each specific area. Often when changes in requirements are published in the Federal Register, it can be difficult and time consuming to determine which areas are impacted and the actions that may be needed.
All six isolated rural areas in nonattainment or maintenance for ozone, in the survey sample, completed the survey. The areas are listed in Exhibit IV-2.
State | County | Area Name | Status | Class | EPA Region | Completed Survey |
---|---|---|---|---|---|---|
Delaware | Sussex | Sussex County | Nonattainment | Marginal | 3 | Yes |
Kentucky | Edmonson | Edmonson County | Maintenance | N/A | 4 | Yes |
Livingston and Marshall | Paducah | Maintenance | N/A | 4 | Yes | |
New York | Essex | Essex County | Nonattainment | Marginal | 2 | Yes |
Virginia | Smyth | White Top Mountain | Nonattainment | Marginal | 3 | Yes |
West Virginia | Greenbrier | Greenbrier County | Nonattainment | N/A | 3 | Yes |
Four ozone nonattainment or maintenance areas have SIPs; two areas (White Top Mountain and Sussex County) do not. For emissions dealing with ozone, areas list precursors: nitrogen oxides (NOx) and/or hydrocarbons (VOC). On-road mobile sources of NOx ranged from 0 percent for White Top Mountain to 87 percent for Greenbrier County. On-road mobile sources of VOC ranged from 0 percent for White Top Mountain to 53 percent for Greenbrier County. Exhibit IV-3 shows the full results of the survey.
Area Name | NOx | VOC |
---|---|---|
Sussex County | 21% | 22% |
Edmonson County | 63% | 36% |
Paducah, Kentucky | 33% | 3% |
Essex County | N/A | N/A |
White Top Mountain | 0% | 0% |
Greenbrier County | 87% | 53% |
Notes: | N/A = not reported Sussex County, White Top Mountain, and Greenbrier County use 1990 data. Paducah and Edmonson County use 2002 data. |
Using historical data from the federal Highway Performance Monitoring System (HPMS), VMT growth in Edmonson County is determined to be 2.28 percent annually from 2000 to 2020. HPMS data was also used to determine the annual increase of VMT in Paducah, which is 2.05 percent for Marshall County and 2.11 percent for Livingston County. None of the other areas reported VMT information, and none of the four areas with a SIP employ transportation control measures. However, several areas listed federal actions that have helped the area attain or maintain the air quality standards. Exhibit IV?4 lists those effective federal measures cited by the areas.
Area Name | Measures Cited |
---|---|
Sussex County | None. |
Edmonson County | All measures, including federal vehicle emission controls and fleet turnover. |
Paducah | Fleet turnover, non-road rules, the national low emission vehicle program (NLEV), and heavy duty diesel program. |
Essex County | Section 126 rule for NOx transport. |
White Top Mountain | None. |
Greenbrier County | Federal Motor Vehicle Control.Program (FMVCP), Heavy Duty Diesel Rule, and small spark ignition gasoline engines. |
For those areas with SIPs, Exhibit IV-5 lists conformity tests used both in their conformity determination and in the years beyond the timeframe of the SIP. (Only two areas provided information.)
Area | Last Determination | Determinations in Years Beyond Timeframe of SIP | |||||||
---|---|---|---|---|---|---|---|---|---|
Budget test | Less than 1990 test | Build/no build test | No-greater-than 1990 test | Budget test | Less than 1990 test | Build/no build test | No-greater-than 1990 test | Demonstration using air quality modeling | |
Edmonson County | X | X | |||||||
Paducah | X | X | |||||||
Total Number | 2 | 2 |
Both Edmonson County and Paducah reported having non-exempt transportation projects in the past five years. Edmonson determined conformity for its project in 1999. Paducah failed in 1998 to determine conformity due to an increase in VMT, but eventually the area was able to make a conformity determination in Spring 2002 after revising its SIP to incorporate new data.
Only 11 of the 34 PM-10 nonattainment and maintenance areas, in the survey sample, completed the survey, as shown in Exhibit IV-6.
State | County | Area Name | Status | Class | EPA Region | Completed Survey |
---|---|---|---|---|---|---|
Maine | Aroostook | Presque Isle | Maintenance | N/A | 1 | Yes |
Colorado | San Miguel | Telluride | Maintenance | N/A | 8 | No |
Archuleta | Pagosa Springs | Maintenance | N/A | 8 | No | |
Fremont | Canon City | Maintenance | N/A | 8 | No | |
Pitkin | Aspen | Nonattainment | Moderate | 8 | No | |
Prowers | Lamar | Nonattainment | Moderate | 8 | No | |
Routt | Steamboat Springs | Nonattainment | Moderate | 8 | No | |
Montana | Flathead | Columbia Falls | Nonattainment | Moderate | 8 | No |
Flathead | Flathead County; Whitefish and vicinity | Nonattainment | Moderate | 8 | No | |
Flathead | Kalispell | Nonattainment | Moderate | 8 | No | |
Lake | Polson | Nonattainment | Moderate | 8 | No | |
Lincoln | Libby | Nonattainment | Moderate | 8 | No | |
Rosebud | Lame Deer | Nonattainment | Moderate | 8 | No | |
Sanders | Sanders County (part); Thompson Falls and vicinity | Nonattainment | Moderate | 8 | No | |
Silver Bow | Butte | Nonattainment | Moderate | 8 | No | |
Wyoming | Sheridan | Sheridan | Nonattainment | Moderate | 8 | Yes |
Arizona | Cochise | Douglas | Nonattainment | Moderate | 9 | No |
Cochise | Paul Spur | Nonattainment | Moderate | 9 | No | |
Gila | Hayden/Miami | Nonattainment | Moderate | 9 | No | |
Gila | Payson | Nonattainment | Moderate | 9 | No | |
Mohave | Mohave County | Nonattainment | Moderate | 9 | No | |
Pinal | Hayden/Miami | Nonattainment | Moderate | 9 | No | |
Santa Cruz | Nogales | Nonattainment | Moderate | 9 | No | |
California | Mono | Mammoth Lake | Maintenance | N/A | 9 | Yes |
Inyo | Owens Valley | Nonattainment | Serious | 9 | Yes | |
Inyo | Searless Valley | Nonattainment | Moderate | 9 | Yes | |
Mono | Mono Basin | Nonattainment | Moderate | 9 | Yes | |
Alaska | Juneau Ed | Juneau | Nonattainment | Moderate | 10 | No |
Idaho | Bonner | Sandpoint | Nonattainment | Moderate | 10 | Yes |
Shoshone | Pinehurst | Nonattainment | Moderate | 10 | Yes | |
Oregon | Lake | Lake County | Nonattainment | Moderate | 10 | Yes |
Josephine | Grants Pass | Nonattainment | Moderate | 10 | Yes | |
Union | LaGrande | Nonattainment | Moderate | 10 | Yes | |
Washington | Walla Walla | Wallula | Nonattainment | Serious | 10 | No |
All 11 PM-10 nonattainment or maintenance areas reported having a SIP. The contribution of emissions from on-road mobile sources to the areas' air quality problem varied and was difficult to determine in some areas. For Presque Isle, Maine, on-road mobile-sources, including road dust, was estimated to be 61% of the area's total PM inventory in 1994; more recent estimates show that the percentage of direct emissions only is estimated at 7.3 percent. For Mammoth Lakes, direct emissions from transportation sources has been determined to be less than 1%, however, emissions from resuspended road dirt and cinders is estimated to be 56.1% of the areas' emissions inventory. Unfortunately, survey information did not indicate what percentage of the resuspended road dirt was from roads versus what percentage is from cinders. Exhibit IV-7 illustrates the percentage of on-road mobile emissions by area.
Area Name | Year of Inventory | PM-10 |
---|---|---|
Presque Isle (Maine) | 1994 | 61* |
Sheridan (Wyoming) | 1988 | N/A |
Mammoth Lake (California) | 1988 | Less than 1 |
Owens Valley (California) | 1995 | Less than 1 |
Searless Valley (California) | N/A | Less than 1 |
Mono Basin (California) | N/A | Less than 1 |
Sandpoint (Idaho) | 1994 | 3 |
Pinehurst (Idaho) | 1988 | 2 |
Lake County (Oregon) | N/A | N/A |
Grants Pass (Oregon) | 1986 | 10 |
LaGrande (Oregon) | 1986 | 5 |
Notes: | N/A = not available |
An interview with Presque Isle revealed problems with the 1994 measurement, which included road sand with on-road mobile sources. The percentage of direct emissions from on-road mobile sources is 7.3 percent.
However, several areas listed TCMs, shown in Exhibit IV-8.
Area Name | TCM Cited |
---|---|
Presque Isle (Maine) | Removing de-icing and anti-icing materials as soon as possible from roads. |
Sheridan (Wyoming) | Limiting sand and gravel usage and removing them as soon as possible from a road after snow. |
Mammoth Lake (California) | Restricting parking, increasing transit ridership, and reducing vehicle traffic. |
Owens Valley (California) | None. |
Searless Valley (California) | None. |
Mono Basin (California) | None. |
Sandpoint (Idaho) | Aggressive street sweeping program and anti skid material specs. |
Pinehurst (Idaho) | None. |
Lake County (Oregon) | Paving gravel roads. |
Grants Pass (Oregon) | None. |
LaGrande (Oregon) | Controlling fugitive dust (winter road sanding, paving gravel streets, etc.). |
Interestingly, the most frequently listed TCMs do not fit the commonly used definition of TCM, which includes actions to adjust traffic patterns or reduce vehicle use. Only three of the 11 areas that responded to the survey noted effective federal measures relating to VMT and tailpipe emissions, as reflected in Exhibit IV-9.
Area Name | Measures Cited |
---|---|
Presque Isle (Maine) | None. |
Sheridan (Wyoming) | None. |
Mammoth Lake (California) | VMT cap, phase out of non-certified wood stoves and fireplaces, mandatory wood burning curtailment. |
Owens Valley (California) | N/A |
Searless Valley (California) | N/A |
Mono Basin (California) | N/A |
Sandpoint (Idaho) | Tier II, CAFE standards, OBD etc. -- improving fuel economy and emission rates. |
Pinehurst (Idaho) | Tier II, CAFE standards, OBD etc. -- improving fuel economy and emission rates. |
Lake County (Oregon) | CMAQ funds used to pave gravel roads (to reduce transportation-related fugitive dust). |
Grants Pass (Oregon) | N/A |
LaGrande (Oregon) | Reducing transportation-related fugitive dust by paving gravel roads. |
Notes: | N/A = not available |
Only three PM-10 nonattainment areas reported having ever made a conformity determination, and only one of these areas has done so within the last five years. All three cited the build/no build test in their latest determination, and two of the three noted the build/no build test in years beyond the timeframe of their SIP. Exhibit IV-10 summarizes the responses.
Area | Last Determination | Conformity in YearsBeyond Timeframe of SIP | |||||||
---|---|---|---|---|---|---|---|---|---|
Budget test | Less than 1990 test | Build/no build test | No-greater-than 1990 test | Budget test | Less than 1990 test | Build/no build test | No-greater-than 1990 test | Demonstration using air quality modeling | |
Sandpoint (Idaho) | X | X | |||||||
Pinehurst (Idaho) | X | X | |||||||
Grants Pass (Oregon) | X | X | X | ||||||
Total Number | 1 | 3 | 2 | 1 |
Only Sandpoint reported having a non-exempt transportation project in the past five years. It determined conformity for its project in 2000.
According to a Division FHWA Transportation Engineer who completed the survey:
Rural areas by their very nature (small, sparsely populated, relatively low traffic volumes and densities, and infrequent capacity expansion projects) should have minimal transportation related air quality problems. To the extent that the above generalization is accurate, it begs the question of why a regional level analysis is currently expected for such areas. Perhaps consideration should be given to evaluating, and as necessary, analyzing such areas at the project level, only. Since there is no PM-10 modeling process, this would effectively limit the analysis to CO.
According to a state environmental agency transportation specialist who completed the survey:
One of the biggest holes in modeling transportation emissions for conformity purposes is VMT and speeds. Transportation and Air Quality agencies often must rely on minimal or spotty data to base speed and VMT assumptions. As an example, the statewide transportation emissions inventory is based on VMT extrapolated from Federal Highways Statistics. The conformity process and the quality of associated air quality analysis would be vastly improved with consistent and reliable VMT and speed data. Rural areas would greatly benefit if FHWA could expand the monitoring done for the Federal Highways Statistics.
This appendix contains a copy of the survey used to collect the data for this report.
FHWA is interested in assessing how isolated rural areas that have been designated non-attainment or maintenance for one or more air quality standards are addressing their transportation conformity related issues. FHWA has assigned Dye Management Group, Inc. the task of identifying and describing current practices. FHWA and EPA are considering developing additional guidance on how to conduct conformity determinations in these areas, so your responses are important to us. As part of this effort, we are seeking your collaboration to participate in a survey.
The three main questions we hope to answer through this survey are:The attached questionnaire, a product of the substantial collaboration from the Federal Highway Administration (FHWA) and Environmental Protection Agency (EPA), was designed to gather information on the identified issues of interest. For each isolated rural area a questionnaire will be sent to the corresponding state department of transportation (DOT), the state and/or local air agency, the Division FHWA and Regional EPA offices, and any other applicable state or local agency.
By definition, an isolated rural non-attainment or maintenance area is not part of, or contiguous to, a metropolitan area having a population of 50,000 or more. In other words, if an area is inside a non-attainment or maintenance area boundary, but is outside of the metropolitan planning boundary, then it is considered a "donut area," not an isolated rural area (see 40 CFR 93.109(g)). An isolated rural area's transportation projects are not part of the emissions analysis of any MPO's transportation plan or TIP (see 40 CFR 93.109(g)). Isolated rural areas are not required under federal regulation to establish a Metropolitan Planning Organization (MPO) or to develop transportation plans and transportation improvement programs (TIP) as a result of their population size.
Name: _______________________________________________________________
Position: _____________________________________________________________
Organization: _________________________________________________________
Telephone: __________________ E-mail:___________________________________
[Area Name] has been designated as a [nonattainment area or maintenance area] for [ozone, carbon monoxide, or particulate matter-10].
Please verify that the designation(s) and pollutant(s) listed above for this area is/are correct. If not accurate please correct as appropriate.
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Year of Inventory = ___________
Units of Inventory = ___________
Sector: | Inventory: |
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On-road mobile sources | _______________________________ |
Others? Please list. | _______________________________ |
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Is speed information determined? If so, how?____________________________________________________________________________________
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___________ Yes ___________No
If yes, for how long was this project delayed? (If a project has been delayed on more than one occasion, please specify how long for each delayed project.)____________________________________________________________________________________
If so, what is/are the specific transportation control measures that this area is implementing?
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2001 ________________________________________
2000 ________________________________________
1999 ________________________________________
1998 ________________________________________
1997 ________________________________________
Did you determine conformity in any of these years:1997 Yes_____________No, _______ if no, why not? ___________________________________
1998 Yes_____________No, _______ if no, why not? ___________________________________
1999 Yes_____________No, _______ if no, why not? ___________________________________
2000 Yes_____________No, _______ if no, why not? ___________________________________
2001 Yes_____________No, _______ if no, why not? ___________________________________
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This area does not have a SIP |
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This area has a SIP, but it does not have motor vehicle emissions budgets (e.g., a limited maintenance plan.) |
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Attainment SIP. |
What are the budget years, if budgets exist: __________________________ |
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15 percent SIP. |
What are the budget years, if budgets exist: __________________________ |
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9 percent rate of progress SIP. |
What are the budget years, if budgets exist: __________________________ |
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Maintenance Plan. |
What are the budget years, if budgets exist: __________________________ |
_______ Budget test.
_______ Less than 1990 test.
_______ Build/no-build test.
_______ No-greater-than 1990 test.
_______ Budget test.
_______ Build/no-build test.
_______ Less than 1990 test.
_______ No-greater-than 1990 test.
_______ Demonstration using air quality modeling (same modeling used in the SIP).
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Number of determinations since 1997: _________________________________________
Dates on which these conformity determinations were made: _________________________________
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______ Yes _______ No
For what analysis years did this area have difficulty demonstrating conformity?____________________________________________________________________________________
What was the nature of this area's conformity difficulties? Please check all that apply.________ Population grew faster than anticipated.
________ New data/information on fleet resulted in higher emissions.
________ Control measures ended because of a sunset date. If yes, which measures?
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________ Control measures ended with the end of the SIP. If yes, which measures?
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Other? Please explain briefly: ________________________________________________________________________________________________________________________________________________
________ SIP was based on an earlier version of emissions factor model.
________ SIP was based on older data that was updated for the conformity determination.
________ Area was experiencing unanticipated growth.
________ A control measure not being implemented; which measure?
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Other? Please explain.
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If yes, what factors contributed to this outcome? (Choose all that apply from the two categories below: Revision to SIP and Revisions Transportation Projects.)
_________ Identifying a safety margin and applying some or all of it to the budget.
_________ Adding transportation control measures in the SIP. Which measures?
_________ Adding emission reduction control measures. Which measures?
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_________ Updating the budget with new data (e.g., population, employment, etc.).
_________ Updating the budget with a new emissions factor model.
_________ Other? Please briefly explain:
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_________ Eliminating, changing scope of or delaying transportation projects.
_________ Adding transportation control strategies (but will not be included in the SIP). Which strategies?
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_________ Adding other emissions reduction measures (not already in the SIP). Which measures?
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_________ Adjusting assumptions for new federal rules (e.g., Tier 2 new vehicle emissions standards).
Which rules?
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_________ Other? Please briefly explain:
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A meeting among all agencies is held prior to a conformity analysis (i.e., when a new project is initiated). |
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A meeting among all agencies is held after the analysis is performed, but prior to FHWA approval of the conformity determination. |
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A meeting among all agencies is only held if the conformity analysis indicates that the area might have difficulty demonstrating conformity. |
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There has never been a meeting among all agencies for this area. |
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Other? Please explain other consultation procedures applicable to this area. |
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_____ Yes _____ No
Why or why not? Please briefly explain:
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