6.2 EPA-developed estimates

Four specific activities are included in the emissions estimate for mining and quarrying operations: overburden removal, drilling and blasting, loading and unloading, and overburden replacement. Not included are the transfer and conveyance operations, crushing and screening operations, and storage since the dust emissions from these activities are assumed to be well controlled. Fugitive dust emissions for mining and quarrying operations are the sum of emissions from the mining of metallic and nonmetallic ores and coal. Emissions for each activity are calculated by multiplying the emissions factors by the activity data.

6.2.1 Activity Data

Activity data for this source category include state-level metallic and non-metallic (a.k.a. mineral) crude ore handled at surface mines from the U.S. Geologic Survey (USGS) [ref 1] and mine-specific coal production data for surface mines from the Energy Information Administration (EIA) [ref 2]. Emissions are not estimated for underground mining given that emissions factors are calculated exclusively for surface activity.

In some cases, the amount of mining waste is withheld for some states to avoid disclosing company proprietary data. To estimate state-level withheld waste data the fraction of crude ore production in the state is multiplied by the amount of waste data withheld at the national level. The national-level amount of waste withheld is calculated by subtracting all known state-level waste values (i.e. those that are not withheld) from the national-level waste value. Note that this calculation only needs to be completed for states where state-level mining waste data are withheld.

\[\begin{equation} W_{s} = \frac{O_{s}}{O_{US}} \times W_{US} \tag{6.1} \end{equation}\]

Where:
\(W_{s}\) = Amount of metallic and non-metallic mining waste for state s, in metric tons
\(W_{US}\) = Amount of metallic and non-metallic mining waste withheld at the national level, in metric tons
\(O_{s}\) = Amount of crude ore produced in state s, in metric tons
\(O_{US}\) = Amount of crude ore produced at the national level, in metric tons

The data on state-level mining production and waste is split into production and waste for metallic and nonmetallic ores using the fraction of national-level metallic and non-metallic ore production. Values are also converted from metric tons to short tons. Throughout the remainder of this document references to “ton(s)” refer to short tons, while metric tons will be explicitly labeled.

\[\begin{equation} MP_{t,s} = (W_{s} + O_{s}) \times \frac{MP_{t,US}}{MP_{US}} \times 1.1023 \frac{\text{ton}}{\text{metric ton}} \tag{6.2} \end{equation}\]

Where:
\(MP_{t,s}\) = Amount of mining material type t (i.e., either metallic or non-metallic ore) produced in state s, in tons
\(W_{s}\) = Amount of total metallic and non-metallic mining waste for state s, in metric tons
\(O_{s}\) = Amount of crude ore produced in state s, in metric tons
\(MP_{t,US}\) = Amount of mining material of type t produced at the national level, in metric tons
\(MP_{US}\) = Total metallic and non-metallic ore production at the national level, in metric tons

6.2.2 Allocation Procedure

The state-level data on metallic and non-metallic mining materials (from Equation (6.3)) is distributed to the county level based on the proportion of employees in the metallic and non-metallic ore sectors (see Table 6.1 for a list of NAICS codes), from the U.S. Census Bureau County Business Patterns [ref 3]. Separate fractions are determined for metallic ore mining employees and non-metallic ore mining employees in each county.

\[\begin{equation} EmpFrac_{t,c} = \frac{Emp_{t,c}}{Emp_{t,s}} \tag{6.3} \end{equation}\]

Where:
\(EmpFrac_{t,c}\) = The fraction of mining employees for material type t in county c
\(Emp_{t,c}\) = The number of mining employees for material type t in county c
\(Emp_{t,s}\) = The number of mining employees for material type t in state s

Table 6.1: NAICS codes for metallic and non-metallic mining.
NAICS Code Description
2122 Metal Ore Mining
212210 Iron Ore Mining
21222 Gold Ore and Silver Ore Mining
212221 Gold Ore Mining
212222 Silver Ore Mining
21223 Copper, Nickel, Lead, and Zinc Mining
212231 Lead Ore and Zinc Ore Mining
212234 Copper Ore and Nickel Ore Mining
21229 Other Metal Ore Mining
212291 Uranium-Radium-Vanadium Ore Mining
212299 All Other Metal Ore Mining
2123 Nonmetallic Mineral Mining and Quarrying
21231 Stone Mining and Quarrying
212311 Dimension Stone Mining and Quarrying
212312 Crushed and Broken Limestone Mining and Quarrying
212313 Crushed and Broken Granite Mining and Quarrying
212319 Other Crushed and Broken Stone Mining and Quarrying
21232 Sand, Gravel, Clay, and Ceramic and Refractory Minerals Mining and Quarrying
212321 Construction Sand and Gravel Mining
212322 Industrial Sand Mining
212324 Kaolin and Ball Clay Mining
212325 Clay and Ceramic and Refractory Minerals Mining
21239 Other Nonmetallic Mineral Mining and Quarrying
212391 Potash, Soda, and Borate Mineral Mining
212392 Phosphate Rock Mining
212393 Other Chemical and Fertilizer Mineral Mining
212399 All Other Nonmetallic Mineral Mining

Due to concerns with releasing confidential business information, the CBP does not release exact numbers for a given NAICS code if the data can be traced to an individual business. Instead, a series of range codes is used. To estimate employment in counties and states with withheld data, the following procedure is used for NAICS code being computed. To gap-fill withheld state-level employment data:

  1. State-level data for states with known employment in each NAICS are summed to the national level.
  2. The total sum of state-level known employment from step 1 of this section is subtracted from the national total reported employment for each NAICS in the national-level CBP to determine the employment total for the withheld states.
  3. Each of the withheld states is assigned the midpoint of the range code reported for that state. Table 6.2 lists the range codes and midpoints.
  4. The midpoints for the states with withheld data are summed to the national level.
  5. An adjustment factor is created by dividing the number of withheld employees (calculated in step 2) by the sum of the midpoints (step 4).
  6. For the states with withheld employment data, the midpoint of the range for that state (step 3) is multiplied by the adjustment factor (step 5) to calculate the adjusted state-level employment for landfills. These same steps are then followed to fill in withheld data in the county-level business patterns.
  7. County-level data for counties with known employment are summed by state.
  8. County-level known employment is subtracted from the state total reported in state-level CBP (or, if the state-level data are withheld, from the state total estimated using the procedure discussed above).
  9. Each of the withheld counties is assigned the midpoint of the range code (Table 6.2).
  10. The midpoints for the counties with withheld data are summed to the state level.
  11. An adjustment factor is created by dividing the number of withheld employees (step 8) by the sum of the midpoints (step 10).
  12. For counties with withheld employment data, the midpoints (step 9) are multiplied by the adjustment factor (step 11) to calculate the adjusted county-level employment for mining and quarrying.
Table 6.2: Withheld data ranges and midpoints
Employment Code Employment Range Midpoint
A 0-19 10
B 20-99 60
C 100-249 175
E 250-499 375
F 500-999 750
G 1,000-2,499 1750
H 2,500-4,999 3750
I 5,000-9,999 7500
J 10,000-24,999 17500
K 25,000-49,999 37500
L 50,000-99,999 75000
M 100,000+

As an example, sample county CBP data for NAICS 2123 (Nonmetallic Mineral Mining and Quarrying) are provided in Table 6.3. The values in the table and subsequent steps are for demonstration purposes and are not representative of any specific NEI year or county.

Table 6.3: Example County Business Patterns for NAICS 2123
County FIPS NAICS Employment Code Employment
1 2123 86
3 2123 19
5 2123 30
9 2123 B withheld
12 2123 A withheld
13 2123 505
15 2123 55
17 2123 60
19 2123 167
21 2123 72
23 2123 A withheld
25 2123 144
27 2123 43
  1. The total number of employees reported at the county level is 1,181.
  2. The state-level CBP reports 1,195 employees for NAICS 2123. This means that there are 14 employees withheld at the county level.
  3. The counties with withheld data are assigned midpoints according to the employment codes. For example, County 009 is given a midpoint of 60 employees (since employment code B is 20-99).
  4. The sum of the midpoints for all withheld counties is 80 employees.
  5. The adjustment factor is 14/80 = 0.175.
  6. The adjusted employment for county 009 is 60 × 0.175 = 10.5 employees. Once county- and state-level metal and non-metal employment are known for each county, the ratio of county to state employees (from Equation (6.3)) is multiplied by the state-level metal and non-metal production (from Equation (6.2)) to calculate county-level production.

\[\begin{equation} MP_{t,c} = MP_{t,s} \times EmpFrac_{t,c} \tag{6.4} \end{equation}\]

Where:
\(MP_{t,c}\) = Amount of material type t produced in county c, in tons
\(MP_{t,c}\) = Amount of material type t produced in state s, in tons
\(EmpFrac_{t,c}\) = The fraction of mining employees for material type t in county c

6.2.3 Emission Factors

6.2.3.1 Metallic Ore Mining

The emissions factor for metallic ore mining includes emissions from overburden removal, drilling and blasting, and loading and unloading activities, and are taken from emissions factors for copper ore mining from EPA’s National Air Pollutant Emission Trends Procedures Document for 1900-1996 [ref 4]. The emissions factors are applied to all three activities with PM10/TSP ratios of 0.35 for overburden removal [ref 5], 0.81 for drilling and blasting [ref 6], and 0.43 for loading and unloading operations [ref 6].

\[\begin{equation} EF_{PM10,m} = EF_{o} + (B \times EF_{b}) + EF_{l} + EF_{d} \end{equation}\]

Where:
\(EF_{PM10,m}\) = PM10-PRI metallic ore mining emissions factor, in lbs./ton
\(EF_{o}\) = PM10-PRI open pit overburden removal emissions factor for copper ore, in lbs./ton
\(B\) = Fraction of total ore production that is obtained by blasting at metallic ore mines
\(EF_{b}\) = PM10-PRI drilling/blasting emissions factor for copper ore, in lbs./ton
\(EF_{l}\) = PM10-PRI loading emissions factor for copper ore, in lbs./ton
\(EF_{d}\) = PM10-PRI dumping emissions factor for copper ore, in lbs./ton

Using values from the National Air Pollutant Emissions Trends Procedures Document for 1900-1996, Table 3.1-3, ref 4], the PM10-PRI emissions factor is calculated as:

\[\begin{equation} 0.0548 \frac{lbs.}{ton} = 0.0003 + (057625 \times 0.0008) + 0.022 + 0.032 \end{equation}\]

The PM25-PRI emissions factor is assumed to be 12.5% of the PM10-PRI emissions factor.

\[\begin{equation} EF_{PM25,m} = EF_{PM10,m} \times 0.125 \end{equation}\]

\[\begin{equation} 0.0069 = 0.0548 \times 0.125 \end{equation}\]

Where:
\(EF_{PM25,m}\) = PM25-PRI metallic ore mining emissions factor, in lbs./ton
\(EF_{PM10,m}\) = PM10-PRI metallic ore mining emissions factor, in lbs./ton

6.2.3.2 Non-Metallic Ore Mining

The emissions factor for non-metallic ore mining includes overburden removal, drilling and blasting, and loading and unloading activities. The emissions factor is based on western surface coal mining operations from AP-42 [ref 7] and a PM10/TSP ratio.

\[\begin{equation} EF_{PM10,nm} = EF_{v} + (D \times EF_{r}) + EF_{a} + (0.5 \times (EF_{e} + (EF_{t})) \end{equation}\]

Where:
\(EF_{PM10,nm}\) = PM10-PRI non-metallic ore mining emissions factor, in lbs./ton
\(EF_{v}\) = PM10-PRI open pit overburden removal emissions factor for at western surface coal mining operations, in lbs./ton
\(D\) = Fraction of total ore production that is obtained by blasting at non-metallic mines
\(EF_{r}\) = PM10-PRI drilling/blasting emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{a}\) = PM10-PRI loading emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{e}\) = PM10-PRI truck unloading: end dump-coal emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{t}\) = PM10-PRI truck unloading: bottom dump-coal emissions factor at western surface coal mining operations, in lbs./ton

Applying the TSP emissions factors developed for western surface coal mining operations from AP-42 [ref 7] and a PM10/TSP ratio of 0.4 [ref 8] yields the following non-metallic ore mining emissions factor:

\[\begin{equation} 0.293 \frac{lbs.}{ton} = 0.0225 + (0.61542 \times 0.00005) + 0.05 + 0.5(0.0035 + 0.033) \end{equation}\]

The PM25-PRI emissions factor is assumed to be 12.5% of the PM10-PRI emissions factor.

\[\begin{equation} EF_{PM25,nm} = EF_{PM10,nm} \times 0.125 \end{equation}\]

\[\begin{equation} 0.037 = 0.293 \times 0.125 \end{equation}\]

Where:
\(EF_{PM25,nm}\) = PM25-PRI non-metallic ore mining emissions factor, in lbs./ton
\(EF_{PM10,nm}\) = PM10-PRI non-metallic ore mining emissions factor, in lbs./ton

6.2.3.3 Coal Mining

The emissions factor for coal mining includes overburden removal, drilling and blasting, loading, and unloading and overburden replacement activities. The amount of overburden material handled is assumed to equal ten times the quantity of coal mined, and coal unloading is assumed to split evenly between end-dump and bottom-dump operations. The emissions factor is based on the PM10 emissions factors developed for western surface coal mining operations from AP-42 [ref 7].

\[\begin{equation} EF_{PM10,co} = (10 \times (EF_{to} + EF_{or} + EF_{dt})) + EF_{v} + EF_{r} + EF_{a} + (0.5 \times (EF_{e} + EF_{t})) \end{equation}\]

Where:
\(EF_{PM10,co}\) = PM10-PRI coal mining emissions factor, in lbs./ton
\(EF_{to}\) = PM10-PRI emissions factor for truck loading overburden at western surface coal mining operations, in lbs./ton of overburden
\(EF_{or}\) = PM10-PRI emissions factor for overburden replacement at western surface coal mining operations, in lbs./ton of overburden
\(EF_{dt}\) = PM10-PRI truck unloading: bottom dump-overburden emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{v}\) = PM10-PRI open pit overburden removal emissions factor for at western surface coal mining operations, in lbs./ton
\(EF_{r}\) = PM10-PRI drilling/blasting emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{a}\) = PM10-PRI loading emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{e}\) = PM10-PRI truck unloading: end dump-coal emissions factor at western surface coal mining operations, in lbs./ton
\(EF_{t}\) = PM10-PRI truck unloading: bottom dump-coal emissions factor at western surface coal mining operations, in lbs./ton

Applying the PM10-PRI emissions factors developed for western surface coal mining operations [ref 7] yields the following coal mining emissions factor: \[\begin{equation} 0.513 = (10 \times (0.015 + 0.001 + 0.006)) + 0.225 + 0.00005 + 0.05 + (0.5 \times (0.0035 + 0.033)) \end{equation}\]

The PM25-PRI emissions factor is assumed to be 12.5% of the PM10-PRI emissions factor.

\[\begin{equation} EF_{PM25,co} = EF_{PM10,co} \times 0.125 \end{equation}\]

\[\begin{equation} 0.0641 = 0.513 \times 0.125 \end{equation}\]

Where:
\(EF_{PM25,co}\) = PM25-PRI coal mining emissions factor, in lbs./ton
\(EF_{PM10,co}\) = PM10-PRI coal mining emissions factor, in lbs./ton

6.2.3.4 PM-FIL and PM25-PRI Emission Factors

PM-FIL emissions factors are assumed to be the same as PM-PRI emissions factors. In reality, there is a small amount of PM-CON emissions included in the PM-PRI emissions, but insufficient data exists to estimate the PM-CON portion. In 2006, the EPA adopted new PM2.5/PM10 ratios for several fugitive dust categories and concluded that the PM2.5/PM10 ratios for fugitive dust categories should be in the range of 0.1 to 0.15 [ref 9]. Consequently, a ratio of 0.125 was applied to the PM10 emissions factors to estimate PM2.5 emissions factors for mining and quarrying.

6.2.4 Controls

There are no controls assumed for this category.

6.2.5 Emissions

Emissions from mining and quarrying are calculated by multiplying the amount of mining material produced (from Equation (6.4) for metallic and non-metallic mining, and from the EIA [ref 2] for coal) by an emissions factor.

\[\begin{equation} E_{p,t,c} = EF_{t,p} \times MP_{t,c} \tag{6.5} \end{equation}\]

Where:
\(E_{p,t,c}\) = Annual emissions of pollutant p from mining material type t in county c, in lbs. per year
\(EF_{t,p}\) = Emissions factor for pollutant p from mining material type t, in lbs./ton of material produced
\(MP_{t,c}\) = Amount of mining material type t produced in county c

The final step of the process is to sum the mining emissions estimates for each pollutant in each county. Emissions estimates are then converted from pounds to tons.

\[\begin{equation} AE_{p,c} = \sum_{t} E_{p,t,c} \times 0.0005 \frac{ton}{lb.} \tag{6.6} \end{equation}\]

6.2.6 Sample Calculations

The steps below provide sample calculations to determine the PM25-PRI emissions from mining and quarrying operations. Constant emissions factor calculations that are used in all counties are not repeated here. Table 6.4 provides a summary of these calculations for metallic ore mining. These calculations are repeated for non-metallic and coal mining and summed to calculate the total emissions from mining and quarrying. The values in these equations are demonstrating program logic and are not representative of any specific NEI year or county.

Table 6.4: Sample Calculations
Eq. # Equation Values Result
1 \(W_{s} = \frac{O_{s}}{O_{US}} \times W_{US}\) N/A Waste data is not withheld for the state
2 \(MP_{t,s} = (W_{s} + O_{s}) \times \frac{MP_{t,US}}{MP_{US}} \times 1.1023 \frac{\text{short ton}}{\text{metric ton}}\) \((3,720 + 42,900) \times (2,660,000 \div 5,060,000) \times 1.1023\frac{ton}{metric ton}\) 27,015 thousand tons metallic ore in the state
3 \(EmpFrac_{t,c} = \frac{Emp_{t,c}}{Emp_{t,s}}\) \(\frac{\text{25 metallic mining employees in the county}}{\text{1,662 metallic mining employees in the state}}\) Metallic employee fraction of 0.015
4 \(MP_{t,c} = MP_{t,s} \times EmpFrac_{t,c}\) \(\text{25,071 thousand tons} \times 0.015\) 376.1 thousand tons metallic ore
5 \(E_{p,t,c} = EF_{t,p} \times MP_{t,c}\) \(0.0068\frac{lbs.}{ton} \times \text{376,071 tons}\) 2,557 lbs. PM25-PRI emissions from metallic ore
6 \(AE_{p,t,c} = \sum_{t} E_{p,t,c} \times 0.0005 \frac{\text{short ton}}{\text{lb.}}\) \(\text{184,922.19 lbs.} \times 0.0005 \frac{ton}{lb.}\) 1.28 tons PM25-PRI emissions from metallic ore

6.2.7 Improvements/Changes in the 2023 NEI

There have been no significant changes to this category since the 2020 NEI.

6.2.8 Puerto Rico and U.S. Virgin Islands

Since insufficient data exists to calculate emissions for the counties in Puerto Rico and the U.S. Virgin Islands, we based emissions for those domains on two proxy counties in Florida: 12011, Broward County for Puerto Rico and 12087, Monroe County for the U.S. Virgin Islands. The total emissions in pounds for these two Florida counties are divided by their respective populations creating a pound per capita emission factor. For each Puerto Rico and U.S. Virgin Island county, the pound per capita emission factor is multiplied by the county population (from the same year as the inventory’s activity data) which serves as the activity data. In these cases, the throughput (activity data) unit and the emissions denominator unit are “EACH”.