specification sheet: ptnonipm

Emissions Modeling Platform Collaborative: 2016beta Point non-EGU Sources

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March 11, 2019

SPECIFICATION SHEET: PTNONIPM

Description: Point non-EGU (ptnonipm) emissions, for simulating 2016 U.S. air quality

1. EXECUTIVE SUMMARY 1

2. INTRODUCTION 2

3. INVENTORY DEVELOPMENT METHODS 2

2016 point inventory 2

Airport emissions 2

Rail yard emissions 3

4. ANCILLARY DATA 3

Spatial Allocation / Vertical Allocation 3

Temporal Allocation 3

Chemical Speciation 5

5. EMISSIONS PROJECTION METHODS 5

6. EMISSIONS PROCESSING REQUIREMENTS 5

7. EMISSIONS SUMMARIES 6

1. EXECUTIVE SUMMARY

This document details the approach and data sources to be used for developing 2016 emissions

for the point non-EGU (ptnonipm) sector, which consists of all US point source emissions which

are not electric generating units (EGUs) or associated with oil and gas activity. The primary data

source is the 2016 point source National Emissions Inventory (NEI), with airport emissions

projected from 2014NEIv2 to 2016 using Federal Aviation Administration (FAA) data, and rail

yard emissions provided by the National Emissions Collaborative rail work group. Projection

methods for ptnonipm are in process. Base year inventories were processed into a format that

can be input to air quality models with the Sparse Matrix Operating Kernel Emissions (SMOKE)

modeling system v4.6. National and state-level emission summaries for key pollutants are

provided.


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2. INTRODUCTION

The starting point for the 2016 beta platform ptnonipm inventory is the 2016 point source

National Emissions Inventory (NEI). The full point inventory was first “sectorized” into separate

components for ptegu, ptnonipm, and pt_oilgas. The ptnonipm component consists of sources

which are not EGUs (i.e., the IPM_YN field is blank) and which do not have a NAICS code

corresponding to oil and gas exploration, production, or distribution. A list of all NAICS codes in

the pt_oilgas sector is provided in the pt_oilgas document.

For some ptnonipm sources, state, local, and tribal agencies submitted updated data that

represented calendar year 2016. Submissions to the NEI are required every year for the larger

“Type A” sources, but data submitters may optionally submit interim year emissions for

additional sources at their discretion. The 2016 submissions and the sources carried forward

from the 2014NEIv2 were compiled with additional updates. Further inventory preparation

steps are outlined in the next section.

There are nearly 5,000 unique SCCs in the ptnonipm sector, so a full table of SCCs is not

included in this document at this time.

3. INVENTORY DEVELOPMENT METHODS

2016 point inventory

The 2016 ptnonipm inventory includes both sources with updated data for 2016, and sources

carried forward from the 2014NEIv2 point inventory. Of the approximately 63,000 non-airport

facilities in the 2014NEIv2 ptnonipm sector, 22,000 of them reported emissions for 2016. The

ptnonipm sources (i.e., not EGUs and non oil and gas sources) were used as-is for the 2016 beta

platform, with the following exceptions:

- Additional closures were applied in Alabama, Florida, North Carolina, and Ohio based on

state comments.

- Emissions were updated for West Virginia Type B facilities.

- Emissions at airports were projected from 2014NEIv2 to 2016 using FAA data.

- Emissions from rail yards were derived from the National Emissions Collaborative rail

workgroup.

Airport emissions

Airports were projected from 2014 to 2016 emissions using FAA data. Growth factors were

created using airport-specific numbers, where available, or the state default by itinerant class

(commercial, air taxi, and general) where there were not airport-specific values in the FAA data.


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Emission growth for facilities is capped at 500% and the state default growth is capped at 200%.

Military state default values were kept flat to reflect uncertainly in the data regarding these

sources.

Rail yard emissions

Rail yard emissions for 2016 beta platform were provided by the rail workgroup. Emissions

were provided in Flat File 2010 (FF10) point format and used directly in SMOKE modeling. These

emissions replace all rail yard emissions from the 2016 EIS-based point inventory, and also

replace all rail yard emissions from the nonpoint rail sector. The rail specification sheet has

more information on how rail yard emissions were developed.

4. ANCILLARY DATA

Spatial Allocation / Vertical Allocation

Spatial allocation of ptnonipm emissions to the national 36km and 12km domains used for air

quality modeling was based on latitude and longitude data from the point source inventory.

Related to vertical allocation and plume rise, the point source stack replacement parameters

(PSTK) file was updated for beta platform. This file provides default stack parameters by SCC for

sources whose stack parameters are missing or blank in the emissions inventory. In alpha

platform, we discovered that many fugitive point sources, which ideally would remain in Layer

1, have missing stack parameters and were receiving default stack parameters from the PSTK.

These default stack parameters occasionally caused fugitive sources to have plume rise above

Layer 1. The PSTK was edited for beta platform so that default stack parameters for fugitive

SCCs do not cause plume rise above Layer 1.

Temporal Allocation

Reports summarizing total emissions according to the monthly, day-of-week, and hour-of-day

temporal profile assignments were developed at the state and county level. They are too large

to include in this document. However, plots of the diurnal, weekly, and monthly temporal

profiles for airport SCCs are shown in Figures 1 through 3.


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Figure 1. Diurnal Profile for all Airport SCCs

Figure 2. Weekly profile for all Airport SCCs

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Diurnal Airport Profile


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Figure 3. Monthly Profile for all Airport SCCs

Chemical Speciation

The ptnonipm sector includes speciation of PM2.5 and VOC emissions, and does not use HAP

integration for VOCs. Reports summarizing total PM2.5 and VOC emissions according to

speciation profile were developed at the state and county level and are too large to include in

this document.

5. EMISSIONS PROJECTION METHODS

The ptnonipm future-year projections were not yet finalized at the time this document was written.

6. EMISSIONS PROCESSING REQUIREMENTS

Ptnonipm emissions were processed for air quality modeling using the Sparse Matrix Operator

Kernel Emissions (SMOKE1) modeling system. As with all point source sectors, this is typically

handled with two separate scripts, or “jobs”: one which processes time-independent, or

“onetime”, programs (Smkinven, Spcmat, Grdmat, Smkreport, Elevpoint), and one which

processes time-dependent programs (Temporal, Smkmerge).

The ptnonipm sector was processed through SMOKE using a PELVCONFIG file that classifies a

portion of the sector as “elevated”. The criterion for elevated sources is a plume rise of 20

1 http://www.smoke-model.org/index.cfm

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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Monthly Airport Profile


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meters or greater, according to the Briggs algorithm2. A value of 20 meters was chosen because

this is a typical upper bound of Layer 1 in air quality modeling.

Elevated sources are output to an inline point source file for input to CMAQ, and remaining

sources are output to a 2-D gridded emissions file. Therefore, one must sum both files together

to capture emissions from all ptnonipm sources. The 2-D gridded emissions from ptnonipm

must be included in the 2-D sector merge. The reason we do not classify all sources as elevated

in pt_oilgas and ptnonipm, as we do with cmv_c3 and othpt, is to limit the size of the inline

point source files from these sectors.

7. EMISSIONS SUMMARIES

National and state totals by pollutant for the beta platform cases are provided here. Plots and

maps are available online through the LADCO website3 and the Intermountain West Data

Warehouse4. The case descriptions are as follows:

2011en, 2023en, 2028el = Final 2011, 2023, and 2028 cases from the 2011v6.3 platform

2014fd = 2014NEIv2 and 2014 NATA

2016fe = 2016 alpha platform (grown from 2014NEIv2)

2016ff = 2016 beta platform

Table 1. Comparison of national total annual CAPS ptnonipm emissions (tons/yr)

Pollutant 2011en 2014fd 2016fe 2016ff 2023en 2028el

CO 2,345,168 2,089,603 1,884,931 1,888,628 2,318,600 2,422,094

NH3 67,350 64,115 61,681 63,865 66,026 67,464

NOX 1,309,568 1,223,062 1,136,980 1,111,302 1,243,192 1,296,432

PM10 486,746 446,891 413,970 407,136 481,139 489,122

PM2.5 326,830 289,161 268,252 262,916 325,176 331,473

SO2 1,112,943 934,304 722,492 680,972 766,543 832,854

VOC 808,572 832,134 816,443 822,184 789,855 812,076

Table 2. Comparison of state total annual NOx ptnonipm emissions (tons/yr)

State 2011en 2014fd 2016fe 2016ff 2023en 2028el

Alabama 46,170 52,800 49,139 49,141 46,635 46,868

Alaska 26,599 20,994 19,683 11,663 25,801 26,688

2 https://www.cmascenter.org/smoke/documentation/4.5/html/ch06s03.html #sect_programs_elevpoint_briggs 3 https://www.ladco.org/technical/modeling-results/2016-inventory-collaborative/ 4 http://views.cira.colostate.edu/iwdw/eibrowser2016

https://www.cmascenter.org/smoke/documentation/4.5/html/ch06s03.html#sect_programs_elevpoint_briggs

https://www.cmascenter.org/smoke/documentation/4.5/html/ch06s03.html#sect_programs_elevpoint_briggs

https://www.ladco.org/technical/modeling-results/2016-inventory-collaborative/

http://views.cira.colostate.edu/iwdw/eibrowser2016


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Arizona 11,780 11,330 10,971 10,771 8,916 9,159

Arkansas 20,276 18,584 16,046 16,346 21,219 21,711

California 61,074 51,562 51,108 55,288 66,282 67,579

Colorado 17,933 17,663 17,557 17,810 19,198 19,570

Connecticut 1,439 2,616 1,231 1,255 1,421 3,137

Delaware 1,710 3,027 2,658 2,466 1,321 2,013

District of Columbia 488 448 451 456 492 554

Florida 35,642 39,669 37,596 39,070 37,856 38,355

Georgia 41,159 43,633 35,272 35,257 42,041 42,386

Hawaii 28,982 26,163 23,585 6,114 29,895 29,991

Idaho 9,001 7,232 6,096 6,201 7,549 7,821

Illinois 47,278 41,482 37,957 39,062 43,666 47,228

Indiana 50,734 44,144 40,726 41,420 55,242 55,636

Iowa 20,296 17,878 15,639 15,343 18,757 19,316

Kansas 16,719 13,103 12,709 12,803 12,354 14,620

Kentucky 22,860 21,929 22,485 22,751 23,169 23,405

Louisiana 72,313 72,126 70,329 70,871 71,221 73,109

Maine 8,785 7,736 5,391 5,377 7,957 8,096

Maryland 13,278 14,347 12,180 12,423 12,367 16,660

Massachusetts 8,347 7,955 7,144 7,146 7,834 7,969

Michigan 43,453 42,873 49,496 46,755 41,438 42,525

Minnesota 45,012 44,622 35,117 35,683 37,063 37,628

Mississippi 14,391 17,302 17,138 17,189 14,382 14,674

Missouri 22,885 26,504 22,986 22,723 23,043 23,682

Montana 6,619 6,660 6,281 5,699 5,282 5,563

Nebraska 10,337 8,729 8,271 8,199 7,999 8,396

Nevada 9,183 8,150 8,062 8,177 9,789 9,883

New Hampshire 1,460 944 823 835 1,544 1,556

New Jersey 10,274 8,619 7,994 8,174 10,736 10,759

New Mexico 2,919 3,749 3,722 10,011 2,751 2,935

New York 33,190 26,582 23,752 23,596 34,706 34,413

North Carolina 31,959 34,389 33,257 34,190 29,796 27,800

North Dakota 4,520 4,705 4,425 4,128 3,782 3,935

Ohio 49,654 44,230 39,050 38,610 40,598 44,544

Oklahoma 20,078 25,315 23,240 37,938 18,418 18,823

Oregon 12,607 13,319 13,351 11,847 12,527 12,885

Pennsylvania 48,302 42,410 39,171 38,652 43,313 43,072

Rhode Island 1,204 1,133 1,136 1,130 1,269 1,286

South Carolina 23,970 25,626 27,190 24,720 21,275 24,414

South Dakota 2,785 2,830 2,829 2,875 3,122 3,123

Tennessee 32,051 34,073 32,279 32,722 30,275 30,889

Texas 113,864 108,216 102,773 105,033 122,603 128,718

Utah 15,532 13,120 12,893 13,143 15,525 15,996

Vermont 355 296 298 289 399 398

Virginia 33,457 34,762 24,668 25,331 26,125 27,682


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Washington 22,510 19,604 18,362 19,939 20,342 21,381

West Virginia 10,731 9,608 8,847 8,422 8,261 10,369

Wisconsin 32,503 30,522 32,486 23,987 25,879 29,220

Wyoming 49,390 20,496 19,726 19,331 38,922 47,156

Puerto Rico 41,247 26,872 21,023 2,582 30,589 30,603

Virgin Islands 124 133 133 134 115 115

Tribal Data 137 246 242 224 132 137

Table 3. Comparison of state total annual SO2 ptnonipm emissions (tons/yr)


Alabama 39,447 44,089 39,472 39,592 37,774 37,826

Alaska 4,221 3,458 3,542 1,814 3,869 3,889

Arizona 37,271 24,599 24,850 24,861 8,027 8,042

Arkansas 10,953 9,608 7,881 7,897 9,916 9,960

California 16,595 11,587 12,739 12,871 12,048 13,777

Colorado 3,531 3,338 3,238 3,258 3,677 3,738

Connecticut 139 235 153 155 121 159

Delaware 894 894 799 785 570 689


Florida 36,556 32,775 30,181 30,359 34,948 34,975

Georgia 28,998 27,385 18,436 18,308 23,308 23,520

Hawaii 22,047 19,543 19,248 1,246 21,783 21,925

Idaho 6,841 4,703 2,523 2,530 5,033 5,047

Illinois 51,967 36,107 25,139 25,206 26,036 39,916

Indiana 64,937 48,542 39,035 39,065 66,978 67,258

Iowa 27,691 24,285 6,617 6,632 13,985 14,022

Kansas 7,435 4,904 3,965 3,967 4,631 5,128

Kentucky 21,598 16,066 16,056 15,555 18,764 18,873

Louisiana 92,523 85,335 70,338 70,370 78,805 80,875

Maine 4,694 3,099 1,598 1,597 1,427 1,447

Maryland 25,255 18,908 10,512 10,525 24,200 25,072

Massachusetts 3,004 2,091 2,077 1,424 1,083 1,107

Michigan 35,915 21,501 13,310 13,356 27,848 29,077

Minnesota 16,470 12,866 9,513 9,540 12,040 12,470

Mississippi 9,240 12,721 11,249 11,259 9,339 9,636

Missouri 50,315 32,844 13,084 13,108 28,381 28,736

Montana 3,840 3,377 2,796 2,801 3,107 3,499

Nebraska 2,367 2,627 1,932 1,945 1,762 1,783

Nevada 1,580 1,323 1,448 1,467 1,665 1,672

New Hampshire 1,273 766 705 706 1,257 1,266

New Jersey 1,990 1,328 1,217 1,241 1,872 1,951

New Mexico 916 404 261 7,752 894 926

New York 25,139 24,739 10,260 10,322 15,357 15,338

North Carolina 27,033 21,329 21,791 21,836 16,708 21,415


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North Dakota 2,905 2,476 2,217 2,219 2,114 2,197

Ohio 79,469 67,017 42,972 41,180 33,717 39,537

Oklahoma 22,496 25,411 23,335 23,720 18,223 20,211

Oregon 2,185 2,198 2,115 1,637 2,298 2,322

Pennsylvania 29,974 25,899 23,653 23,490 20,711 21,860

Rhode Island 990 300 270 270 865 881

South Carolina 26,578 17,571 12,898 12,170 17,823 22,319

South Dakota 708 653 654 656 735 735

Tennessee 35,845 31,860 25,131 25,189 8,541 8,777

Texas 75,263 62,338 61,077 61,234 65,457 69,718

Utah 2,849 2,401 2,305 2,318 2,534 2,952

Vermont 427 191 192 190 125 124

Virginia 20,560 34,771 22,462 22,772 16,935 16,966

Washington 12,583 11,546 8,118 8,170 11,409 11,845

West Virginia 15,706 7,927 8,154 7,703 7,250 15,174

Wisconsin 50,520 45,107 22,385 20,614 22,729 33,919

Wyoming 13,830 11,561 11,778 11,780 8,169 8,594

Puerto Rico 37,191 27,493 26,624 2,118 9,566 9,567

Virgin Islands 111 126 126 134 105 105

Tribal Data 16 33 33 31 15 16

Table 4. Comparison of state total annual VOC ptnonipm emissions (tons/yr)


Alabama 23,895 30,041 29,873 29,691 23,403 23,539

Alaska 3,538 2,787 2,814 2,476 3,499 3,562

Arizona 2,817 4,523 4,533 4,545 2,572 2,923

Arkansas 21,638 23,212 19,287 19,326 21,138 21,418

California 34,236 35,687 37,126 37,395 34,014 35,122

Colorado 24,841 22,372 22,475 22,499 22,072 24,863

Connecticut 848 975 830 842 826 838

Delaware 1,662 1,071 987 961 1,739 2,177


Florida 25,705 26,158 27,062 27,481 25,442 26,334

Georgia 26,815 28,814 28,443 27,973 26,084 26,914

Hawaii 3,059 4,117 3,904 3,739 3,008 3,162

Idaho 1,625 1,695 1,731 1,738 1,605 1,648

Illinois 41,936 40,537 37,817 37,916 39,846 41,914

Indiana 35,294 30,590 31,367 31,438 33,991 34,367

Iowa 20,175 21,427 19,509 19,495 19,579 20,136

Kansas 13,591 13,692 13,318 13,299 13,094 13,596

Kentucky 43,173 46,056 45,313 44,823 42,761 43,184

Louisiana 41,301 42,735 45,010 45,059 40,750 41,913

Maine 3,203 2,909 2,529 2,523 2,690 3,182

Maryland 2,358 3,356 3,184 3,206 2,294 2,530


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Massachusetts 3,549 3,375 3,322 3,321 3,326 3,377

Michigan 21,305 23,079 23,547 23,580 20,936 21,442

Minnesota 19,880 19,750 18,815 19,053 18,199 19,343

Mississippi 23,552 27,265 24,879 24,569 21,232 22,388

Missouri 13,147 13,487 13,909 13,928 12,110 12,854

Montana 3,565 3,220 3,477 3,444 3,273 3,581

Nebraska 5,203 4,882 5,388 5,399 4,909 5,122

Nevada 2,146 2,220 2,264 2,301 2,206 2,241

New Hampshire 563 361 346 346 583 584

New Jersey 7,464 7,648 7,400 7,442 7,771 7,718

New Mexico 1,862 1,874 2,060 3,881 1,787 1,882

New York 9,480 8,647 8,176 8,275 9,854 9,781

North Carolina 36,258 40,413 40,026 40,133 37,182 28,913

North Dakota 2,563 2,996 2,350 2,332 2,518 2,618

Ohio 29,669 29,100 30,340 29,524 25,914 28,738

Oklahoma 15,455 16,421 18,386 23,242 14,760 15,356

Oregon 9,039 10,138 9,731 9,484 9,077 9,158

Pennsylvania 22,240 21,289 21,184 21,165 22,729 22,799

Rhode Island 1,108 1,056 1,018 1,015 1,160 1,173

South Carolina 23,754 25,050 25,082 24,978 21,642 23,700

South Dakota 3,328 3,438 3,389 3,401 3,071 3,163

Tennessee 33,356 37,440 36,510 36,597 32,608 33,453

Texas 77,613 72,748 69,427 69,658 83,265 89,375

Utah 3,719 3,281 3,713 3,749 3,509 3,661

Vermont 451 356 357 353 474 472

Virginia 16,872 18,985 18,758 19,057 17,091 17,136

Washington 11,104 11,993 9,888 10,525 10,705 11,007

West Virginia 5,610 5,080 4,691 4,783 5,000 4,902

Wisconsin 20,996 21,384 22,253 21,830 21,002 21,041

Wyoming 10,594 10,974 7,072 7,047 10,464 10,614

Puerto Rico 1,116 618 735 518 803 857

Virgin Islands 43 50 50 46 42 42

Tribal Data 193 721 721 715 178 193


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Figure 1. Annual Gridded 2016 ptnonipm NOx emissions

Figure 2. Annual Gridded 2016 ptnonipm SO2 emissions


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Figure 3. Annual County-total 2016 ptnonipm NOx emissions

Figure 4. Annual County-total 2016 ptnonipm SO2 emissions

specification sheet: ptnonipm

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