^H I ■ ■ ■■* i ■ ■ ■ ■ ■ ■ raft' H s&% ■ ■ f ■ ,"',','.: . s. - 'bV G°*.C^% V" 6 ° " ° • *. ^ . r oV * < vv A V< ^ A°* . • ^0^ 3 V t 0^ ^*^'\^ A ,^ V *!,*°* ^\ a0 v »»/£'♦ *> V* «- Y ° - vv i* v-* > •bf r *d* -C 3 "oV * O. O N O » ■$ '>' ^ ♦-«-.- X ->bf ?£M@5*+ '**+£' •V^^Oi'- "^^ ^ '^^ • ,^55^^^ . O ^6* A* 9a. *??*• aP V" *!••- J u>^ '•• ** v \ iP'T*, ^^" "^^ ^ ^o* •« A ^ *».»* .0^ ^ *^T* A <* .\ ^,^ ^•a <* '" • » a^ ^ '^TyT* A »•- ** * «^ia- ^<^ .-zif^^ ^^ 'by > ^ b, ^T.T*'A *bt? a v ^ sv> ^-^v v^v v^^%°° v^y v^v IC 9125 Bureau of Mines Information Circular/1987 Respirable Dust Levels in Coal, Metal, and Nonmetal Mines By W. F. Watts, Jr., and D. R. Parker UNITED STATES DEPARTMENT OF THE INTERIOR Information Circular 9125 Respirable Dust Levels in Coal, Metal, and Nonmetal Mines By W. F. Watts, Jr., and D. R. Parker UNITED STATES DEPARTMENT OF THE INTERIOR Donald Paul Hodel, Secretary BUREAU OF MINES Robert C. Horton, Director Library of Congress Cataloging in Publication Data: Watts, W. F. (Winthrop F. Jr) Respirable dust levels in coal, metal, and nonmetal mines. (Information circular ; 9125) Bibliography: p. 18. Supt. of Docs, no.: I 28.27: 9125. 1. Mine dusts- United States- Standards. 2. Coal mines and mining- United States- Dust control -Standards. I. Parker, D. R. (Douglas R.) II. Title. III. Series: Information circular (United States. Bureau of Mines); 9125. 4^295JI4^" [TN312] 622 s [363.1'19622] 86-600380 CONTENTS Page Abstract 1 Introduction • MIDAS metal and nonmetal subsystem Regulatory requirements Data description 2 Software ••• 3 MIDAS coal subsystem 4 Regulatory requirements 4 Data description 4 Software 5 Respirable dust analysis 5 Metal and nonmetal « 5 Exposures by mine type and occupation 6 Effect of changing the RQ standard 8 Coal 9 Summary and conclusions 17 References . 18 Appendix. — MSHA sampling codes, descriptors, and selected data 19 ILLUSTRATION 1. Logarithmic probability plots of longwall, continuous ripper, and auger samples grouped by designated occupation and nondesignated occupation... 13 TABLES 1. Contaminants most frequently sampled in metal and nonmetal mines 3 2. Yearly statistics for RQ 6 3. RQ exposures by mine type for 1974-79 and 1980-84 7 4. RQ exposures by metal and nonmetal occupation for 1974-79 and 1980-84.... 8 5. Quartz statistics for selected commodities 9 6. Effect of changing the RQ TLV 10 7. Yearly trends in respirable dust exposure for samples collected in under- ground coal mines 11 8. 1984 coal dust data by underground mining method 11 9. Differences between DO and NDO samples for three mining methods 12 10. Average number of samples exceeding 2.0 mg/nr 5 for 1981-84 and average number of mines with samples exceeding 2.0-mg/ra- 5 standard 14 11. 1984 coal mine dust data for underground and surface occupations 15 12. Trends in exposure for five underground coal mine occupations 16 A-l. Metal and nonmetal occupation codes 20 A-2. Metal and nonmetal location codes 20 A-3. Metal and nonmetal SIC codes 21 A-4. Occupation codes most frequently used in 1984 by MSHA coal mine inspectors 22 A-5. MSHA coal mine codes for mine type 22 A-6. MSHA coal mine codes for sample type 23 A-7. MSHA coal mine codes for mining method 23 A-8. Percentage of metal and nonmetal miners wearing respirators 23 i UNIT OF MEASURE ABBREVIATIONS USED IN THIS REPORT L/min liter per minute mm millimeter mg/m- 5 milligram per cubic meter pet percent yg/m 3 microgram per cubic meter yr year RESPIRABLE DUST LEVELS IN COAL, METAL, AND NONMETAL MINES By W. F. Watts, Jr., 1 and D. R. Parker 2 ABSTRACT In 1980 the Bureau of Mines developed the Mine Inspection Data Analy- sis System (MIDAS). MIDAS is a computerized, industrial hygiene data base capable of statistically analyzing environmental data collected in coal and noncoal mines and mills by Mine Safety and Health Administra- tion (MSHA) inspectors or mine operators. The objectives of this report are to describe the current contents of MIDAS, to report analyses of coal and noncoal mine respirable dust samples collected by MSHA inspec- tors and to evaluate the proposed change in the metal and nonmetal respirable dust standard from a formula based upon the percentage of quartz identified in the sample to 100 ug/m 3 of respirable quartz. Based on samples collected by MSHA inspectors, changing the noncoal respirable dust standard would result in 4 pet fewer samples with dust concentrations exceeding the standard. Analysis of respirable coal dust data collected by MSHA inspectors showed that mines with longwall plows or shears had the highest geometric mean concentrations (1.64 and 1.29 mg/ra 3 , respectively). Mine operations using continuous rippers out- numbered longwall mine operations about 10 to 1 and had a geometric mean concentration of 0.66 mg/m 3 . industrial hygienist, Twin Cities Research Center, Bureau of Mines, Minneapolis, MN. 2 Mine safety and health specialist, Mine Safety and Health Administration, U.S. Department of Labor, Arlington, VA. INTRODUCTION In 1980 the National Academy of Sci- ences stated that because of insufficient respirable dust measurements and the pau- city of reliable information on the inci- dence of silicosis, the most critical research need in noncoal mining was a definition of the extent of the health problem associated with silica exposures in noncoal miners. It was further stated that the adequacy of the current standard could not be evaluated when the magnitude of exposures remains unknown (1_).3 The Bureau of Mines responded to this report by establishing the Mine Inspec- tion Data Analysis System (MIDAS) as a part of the respirable dust research program. MIDAS is a computerized, indus- trial hygiene data base developed by the Bureau with the assistance of the Mine Safety and Health Administration (MSHA). It is available, on-line, via the Bureau's telecommunications network to Bureau, MSHA, and National Institute of Occupational Safety and Health (NIOSH) personnel involved in mining research. Since its inception, MIDAS has provided information on the magnitude of res- pirable dust levels in noncoal mines, which is used to prioritize problems, determine trends in exposure, and to evaluate standards. In 1980 MIDAS con- tained only environmental industrial hygiene data collected from metal and nonmetal mines and mills by MSHA inspec- tors. These samples are collected to determine whether or not the mine or mill is in compliance with MSHA air qual- ity regulations. The first expansion of MIDAS took place in 1982 when data from a scientific survey of 22 mines were added to the data base. The survey was conducted from 1976 through 1978 in metal and nonmetal mines by MSHA personnel. The most recent expansion of MIDAS occurred in 1985 when coal mine respirable dust data were added to the data base. Unlike the noncoal data, the great majority of these samples were collected by coal mine operators, as opposed to MSHA in- spectors. MSHA updates the metal-non- metal and coal mine compliance data on a yearly basis. The objectives of this report are to describe the current contents of MIDAS, to report analyses of coal and noncoal mine respirable dust samples collected by MSHA inspectors, and to evaluate the pro- posed change in the metal and non- metal respirable dust standard. The report is divided into three major sec- tions: A description of the MIDAS metal and nonmetal subsystem, a description of the MIDAS coal subsystem, and a discus- sion of results from recent analyses of these data. MIDAS METAL AND NONMETAL SUBSYSTEM REGULATORY REQUIREMENTS MSHA regulates health and safety con- ditions and practices in metal and non- metal mines and mills under the authority of the Federal Mine Safety and Health Act of 1977, as amended (2.)* The specific regulations are found in the Code of Federal Regulations, Title 30 (3). Stan- dards in these regulations for airborne contaminants and physical agents were adopted from the 1973 recommended n •■■■■■■■■ ' — J Underlmed numbers in parentheses re- fer to items in the list of references preceding the appendix at the end of this report. threshold limit values (TLV's) of the American Conference of Governmental In- dustrial Hygienists (ACGIH) (4_). Compli- ance with these regulations is determined by the collection of environmental sam- ples by MSHA inspectors. DATA DESCRIPTION Since 1974 over 415,000 environmental samples have been collected by MSHA and records of these samples are edited and stored in MIDAS. Details of the editing procedure have been previously reported (_5). MSHA has collected samples for 132 different contaminants, but samples for 10 contaminants account for 91 pet of the 415,000 records. These contaminants are listed in table 1. Data from metal and nonmetal sampling are of two types: personal (which are either partial- or full-shift samples collected on individuals) and area (which are short-term "grab" samples collected in the mine environment) . Each sample record contains at a minimum the mine identification number, date, contaminant code, contaminant concentration, and standard industrial classification (SIC) code. In addition, the personal samples contain codes to describe the worker's occupation, and location. In 1983 MSHA expanded the number of codes used to describe occupation, location, and -com- modity. These changes were incorporated into the data base in 1984 by convert- ing the pre-1983 codes to the new codes adopted by MSHA. The new codes for occupation, location, and commodity are listed in appendix tables A-l through A-3. An additional 15,000 samples were collected during a survey of 22 metal and nonmetal underground mines. MSHA conducted the survey in order to determine exposures to quartz-bearing dusts and to exhaust emissions produced by diesel engines used underground. The 22-mine-survey data are the only data stored in MIDAS that were not collected to determine compliance with regulatory standards. Environmental data from the 22-mine- survey include full-shift, personal sam- ples and short-term grab samples. Full- shift samples were used to measure concentrations of nitrogen dioxide, respirable dust, and total dust. The same miners were sampled for both dust and nitrogen dioxide. Grab samples were analyzed for a wide array of gases in- cluding carbon monoxide, carbon dioxide, and trace substances. Details of the survey and the major findings have been reported elsewhere (_6-7) . The data base also contains an index of all metal and nonmetal mine properties in the United States. Each property is listed with a unique mine identifica- tion number, its location, the property name, company name, approximate number of employees, year-round or other status, mine type, and standard industrial clas- sification code (SIC). Pertinent infor- mation from this file is added to the records of environmental samples to assist in grouping similar records for analysis. The index is updated annually by MSHA. TABLE 1. - Contaminants most frequently sampled in metal and nonmetal mines Contaminant Noise Respirable dust with >1 pet quartz Carbon monoxide Methane , Radon daughters Carbon dioxide Total dust Oxygen , Respirable dust with <1 pet quartz , Nitrogen dioxide...., Subtotal , Others Total Sample Type Number FS FS ST ST ST ST FS ST FS ST NAp NAp NAp 112,126 50,508 39,830 36,412 34,910 30,767 26,637 21,251 14,706 12,293 379,440 35,740 415,180 Pet of total 27.0 12.2 9.6 8.8 8.4 7.4 3.2 5.1 3.5 3.0 91.4 8.6 100.0 FS Full-shift personal exposure sample. NAp Not applicable. ST Short-term sample. SOFTWARE Data base software has undergone sev- eral phases of development since 1980. Each phase has resulted in the develop- ment of more comprehensive and user- friendly computer programs. Currently, software is accessed through one program that asks several questions, which re- sults in the introduction of a sequence of submenus. The submenus list the available programs for the type of data being analyzed and ask the user to select the desired program. Once a program is selected, a description of the program is displayed and the user is asked to specify detailed information. This in- formation includes program options, file names, code groups, and sort order. The results may be immediately retrieved upon completion of data processing, or in cases where large volumes of data are being processed the user may submit a job for overnight processing. This reduces computing costs and ensures adequate process time. Results can be retrieved the following day. The software for the metal and nonmetal subsystem was designed to accomplish the following tasks: record selection, file creation, record sorting, data analysis, and reporting of results. Records can be selected based upon user-specified varia- bles from the original master files or from previously created user files, and stored in a new data file. Sorting of records in a preset order is required for the use of certain programs, to ensure the efficient use of computer process time. Sorting requirements are noted in the program descriptions found at the beginning of each program. Analysis is accomplished using a variety of descrip- tive statistics such as the geometric mean (GM), the geometric standard devia- tion (GSD), and the percentage of samples greater than the threshold limit value (>TLV, pet). Graphic aids such as cumu- lative frequency plots are also availa- ble. Results are reported in the form of tables or graphs. In addition to software designed spe- cifically for MIDAS, the user may select other statistical software from the soft- ware library maintained by the Bureau. These programs are capable of calculating a wide array of descriptive and infer- ential statistics (8). MIDAS COAL SUBSYSTEM REGULATORY REQUIREMENTS In 1970 a mandatory respirable dust standard of 3.0 mg/m 3 was established for underground coal mines under the Federal Coal Mine Health and Safety Act of 1969. This standard was subsequently lowered in 1972 to 2.0 mg/ra . Mandatory dust stan- dards for surface work areas of under- ground coal mines and surface mines also became effective in 1972. These regula- tions were continued under the Federal Mine Safety and Health Act of 1977 (_9) , which amended the 1969 coal act and merged coal and noncoal regulations into one law. In the 1969 act, "concentration of respirable dust" was defined as a measurement made with a Mining Research Establishment (MRE, Casella 113A) instru- ment or such equivalent concentration measured with another device. The 1977 act changed the definition of "concen- tration of respirable dust" to be the "average concentration of respirable dust measured with a device approved by the Secretary and the Secretary of HEW." The device approved for measuring respirable dust uses a Dorr-Oliver 10-mm nylon cyclone to remove the nonrespirable frac- tion of dust sampled. Measurements made with this device are converted to equiva- lent MRE concentrations by multiplying by a constant factor of 1.38 ( 1_0 ) . Specific regulations detailing the collection of respirable dust samples by mine operators are found in the Code of Federal Regula- tions, Title 30 (3). Since 1970, more than 6 million respirable dust samples have been collected by coal mine opera- tors and MSHA inspectors to determine compliance with the 2.0-mg/m 3 standard. DATA DESCRIPTION In 1985 the Bureau received the respi- rable coal dust data from MSHA. Because of the large volume of data, only the 1981 through 1985 records of samples col- lected by MSHA inspectors, and the 1985 operator samples, are available in the data base. However records dating as far back as 1970 are stored on tape and can be loaded into the data base upon request. The MSHA coal dust records had three record formats: one corresponding to samples collected from 1970 to 1980, one corresponding to samples collected from 1980 to 1984 by operators, and one corresponding to samples collected from 1980 to 1984 by inspectors. However, in order to conserve disk storage space and to simplify software development and analysis, the coal dust records were revised to reflect only one record type. Information that was not required for analysis was eliminated. Information that was retained but was not consistent between the different record types caused the creation of blank fields in some records. Records containing erroneous codes were removed by editing. Retained information that was recorded in the same manner on all records in- cludes State, mine identification number, sample date, dust concentration, tons of coal produced, and occupation code. Information that appears on all records but with different codes includes mine type, sample type, and mining method. Other information appearing on the rec- ords includes mine section or mechanized mining unit number, ventilation code, and the MSHA field office code. Table A-4 lists the most frequently used occupation codes, and tables A- 5 through A- 7 list the codes used to describe mine type, sample type, and mining method. In addi- tion to the information listed above, every record contains a numerical code that allows rapid sorting into one of four groups: 1970-80 inspector sample, 1970-80 operator sample, 1980-84 inspec- tor sample, and 1980-84 operator sample. SOFTWARE Software is currently being developed to analyze the coal dust data, and wher- ever possible, software developed for the metal and nonmetal subsystem is being modified for use with the coal subsystem. Examples of software under development include trends programs to compute sta- tistics for years, groups of years, and occupations; table programs to compute statistics for data grouped by occupa- tion, mining methods, and sample types; and graphics programs to produce plots by occupation, mining method, and sample type. RESPIRABLE DUST ANALYSIS METAL AND NONMETAL Since 1974 MSHA inspectors have col- lected more than 50,000 gravimetric sam- ples for dust containing respirable quartz (RQ) . The RQ sample is collected on a filter after the aerosol has passed through a cyclone preclassif ier at a flow rate of 1.7 L/min. The TLV for RQ is de- termined by collecting a respirable dust sample, analyzing for quartz content, ^ and calculating the TLV by dividing per- cent RQ plus 2 into 10 when the quartz content (percent RQ) is >1 pet ( 4_) . The resultant TLV is expressed in milligrams per cubic meter. The TLV for RQ is in- versely proportional to the quartz con- tent of the sample. Thus, for a given exposure level the magnitude of the toxi- city is proportional to the quartz con- tent (11). The factor 2 in the TLV formula ensures that dust exposures will not be excessively high when the quartz content is less than 5 pet and effec- tively limits the dust concentration to 5 mg/m when no quartz is identified in the sample. 4 puartz content is determined by X-ray diffraction after the filter has been weighed. In 1983 MSHA proposed to revise many of the existing health regulations (12) . Included in these revisions was a pro- posed change in the RQ standard. The proposed new standard, which is still undergoing review, is 100 yg/m 3 of respi- rable quartz. The effects of changing the RQ standard on compliance deter- minations are discussed in a subsequent section. The yearly statistics for RQ are shown in table 2. Data shown in table 2 must be interpreted in the context of MSHA policy and regulatory changes that may have altered sampling strategies. These changes have been discussed in depth elsewhere ( 13 ) , but warrant a brief review. MSHA inspectors collect dust samples in order to determine compliance. This is accomplished by sampling workers thought to have the greatest risk of overexposure, and a sample exceeding the standard by 20 pet is considered out of compliance. The sampling strategy used in metal and nonmetal mines and mills tends to be judgmental in that it is not based on a probability model assuming randomness. This creates a statistical problem: These TABLE 2. - Yearly statistics for RQ Year Samples >TLV, pet Concentration, mg/nr GM Median GSD GM C-TLV 1974 , 1975 , 1976 , 1977 , 1978 1979 , 1980 1981 , 1982 , 1983 , 1984 Total or average. 284 2,648 6,223 7,566 7,840 7,780 4,744 4,423 1,640 3,399 3,961 50,508 44.37 27.95 25.16 18.90 15.46 13.62 14.69 16.69 17.26 17.01 17.22 0.58 .49 .51 .44 .40 .37 .40 .43 .46 .45 .45 0.54 .47 .48 .43 .38 .34 .37 .40 .43 .41 .40 2.62 2.94 3.08 2.96 3.00 2.98 2.63 2.58 2.72 2.35 2.43 18.04 .43 .40 2.84 0.86 .53 .45 .37 .34 .31 .33 .36 .39 .40 .39 .37 GM Geometric mean. GM C-TLV Geometric mean concentration-to-TLV ratio. GSD Geometric standard deviation. TLV Threshold limit value. data may not be representative of all ex- posures, so the classical assumptions of randomness, homoscedasticity (homogeneous variance) , and normal distribution may not apply. In addition, anything that affects the number of samples collected is important because it alters the sampl- ing strategy. Two examples of such al- terations are the Federal Mine Safety and Health Act of 1977 ( 2^ , and the tempo- rary removal of stone, sand and gravel, and other commodities from MSHA's juris- diction for most of fiscal year 1982. The passage of the 1977 act was fol- lowed by an increase in the number of RQ samples collected over previous years until 1980 when internal MSHA policy changes caused a marked reduction in the number of RQ samples. This was followed in 1982 with the temporary loss of juris- diction over stone, sand and gravel, and other commodities accompanied by a sharp decrease in the number of RQ samples as shown in table 2. With the restoration of MSHA's jurisdiction over stone, sand and gravel, and other commodities in the 1983-84 period, the number of samples reported rebounded close to the level in 1980. Overall, the data in table 2 show that for the more than 50,000 RQ samples over the 1974-84 period, more than 18 pet ("9,000) of the samples exceeded the TLV. Exposures by Mine Type and Occupation Table 3 shows RQ exposures by mine type for two time periods, 1974-79 and 1980- 84. The location groups, underground, surface, and mill, are defined in table A-2, and the commodity groups, stone, metal, nonmetal, and sand and gravel, are defined in table A-3. For each group the table shows the number of samples, geometric mean concentration (GM CONC) , geometric mean concentration-TLV ratio (GM C-TLV), percentage of samples exceed- ing the TLV, and the percentage of workers wearing respirators at the time the sample was collected. Several mine types have shown substan- tial improvement from the 1974-79 to 1980-84 sample period. Nonmetal mills have reduced the percentage of samples exceeding the TLV from 40.1 pet to 23.9 pet, while increasing the percentage of workers wearing respirators from 49.9 pet to 64.9 pet. The GM CONC was reduced from 0.84 to 0.66 mg/m 3 . Overexposures were also sharply reduced at industrial sand mills (32.9 to 22.1 pet), while workers wearing respiratory protection increased 13.7 pet. At both nonmetal mills and industrial sand mills, the product is typically a crushed or ground silica sand with a very high quartz content. TABLE 3. - RQ exposures by mine type for 1974-79 and 1980-84 Commodity group Metal: Samples GM CONC mg/m 3 .. GM C-TLV >TLV pet.. PROT pet. . Nonmetal: Samples GM CONC mg/m 3 .. GM C-TLV >TLV pet. . PROT pet. . Sand and gravel: Samples GM CONC mg/m 3 . . GM C-TLV >TLV pet.. PROT pet.. Stone: Samples GM CONC rag/m 3 .. GM C-TLV >TLV pet. . PROT pet.. Total: ' Samples GM CONC mg/m 3 .. GM C-TLV >TLV pet. . PROT pet.. 1974-79 UG mine 2,815 0.57 0.46 18.3 39.5 608 0.74 0.52 26.8 32.9 NAp NAp NAp NAp NAp 562 0.86 0.44 19.4 34.9 3,985 0.63 0.47 19.8 37.9 Surface mine 1,604 0.30 0.28 11.2 25.9 1,820 0.43 0.39 18.7 39.4 4,192 0.24 0.28 12.8 22.6 11,347 0.37 0.29 13.4 23.4 18,963 0.34 0.30 13.6 25.0 Mill Total 1,892 0.46 0.47 24.3 35.6 2,252 0.84 0.78 40.1 49.9 799 0.37 0.60 32.9 46.3 4,385 0.58 0.49 25.7 42.9 9,328 0.58 0.55 29.5 43.4 6,311 0.45 0.41 18.3 34.9 4,680 0.64 0.57 30.1 43.6 4,991 0.26 0.32 16.0 26.4 16,294 0.43 0.34 16.9 29.1 32,276 0.43 0.37 19.0 31.9 1980-84 UG mine 1,548 0.55 0.42 17.0 58.3 260 0.58 0.43 18.5 58.5 NAp NAp NAp NAp NAp 484 0.70 0.34 14.0 32.2 2,292 0.58 0.40 16.6 52.8 Surface mine 1,093 0.31 0.29 11.7 45.2 612 0.38 0.29 18.7 47.9 1,905 0.35 0.37 14.5 36.6 5,330 0.39 0.29 11.9 35.5 8,940 0.37 0.31 12.6 37.8 Mill 1,080 0.37 0.35 15.9 50.0 1,425 0.66 0.53 23.9 64.9 1,413 0.38 0.50 22.1 59.0 3,014 0.49 0.43 21.5 51.0 6,932 0.47 0.45 21.3 55.3 Total 3,721 0.41 0.36 15.2 52.1 2,297 0.56 0.44 20.6 59.6 3,318 0.36 0.42 17.8 46.1 8,828 0.43 0.34 15.3 40.6 18,164 0.43 0.37 16.4 46.4 GM CONC Geometric mean concentration. GM C-TLV Geometric mean concentration-to-TLV ratio. NAp Not applicable. PROT Respiratory protection. TLV Threshold limit value. UG Underground. 68 records are excluded because no SIC code was reported. Overall the table shows that the use of respiratory protection is increasing and that dust levels are decreasing. Seven of the eleven mine types show reduced GM CONC while only four (surface stone quarries, metal mines, sand and gravel mills, and surface quarries) show slightly higher GM CONC. Sand and gravel quarries had a small increase in the per- cent of samples exceeding the TLV despite a large drop in the number of samples collected. Table 4 shows the changes in the per- centage of samples exceeding the TLV and the GM CONC for 17 frequently sampled occupations for the same time periods, 1974-79 and 1980-84. Nearly 90 pet of the over 50,000 RQ samples are accounted for in the table, and each occupation has a minimum of 200 samples in each time period. The bagging, flotation, jack stoper drill, and trucker occupations had 10 pet fewer samples exceeding the TLV. Stope miner, motorman, and laborer and TABLE 4. - RQ exposures by metal and nonmetal occupation 1 for 1974-79 and 1980-84 Occupation 1974-79 Samples >TLV, pet GM CONC, mg/m 3 1980-84 Samples >TLV, pet GM CONC, mg/m 3 Change >TLV, pet Bagging and packing Flotation Jack stoper drill Trucker Ball and rod mill Cleanup man Sizing and washing Mechanic Crusher Dryer and kiln Pneumatic drill Bulldozer Wagon drill Front-end loader Stope miner Motorman Laborer and bullgang. . . . Total or average. . . 1,384 422 470 409 1,178 3,344 1,239 1,318 4,894 1,220 703 792 1,030 9,254 964 743 350 44.0 19.0 25.5 14.2 31.4 28.3 23.3 14.5 23.5 24.1 23.2 12.9 23.8 7.6 13.0 12.5 18.0 0.73 .43 .84 .37 .62 .54 .41 .42 .51 .46 .55 .30 .50 .29 .47 .33 .54 1,360 232 201 850 341 1,354 510 372 3,434 761 344 328 331 4,195 284 344 221 33.1 8.2 14.9 4.2 21.7 21.2 17.5 8.9 20.0 22.7 22.1 11.9 23.0 6.9 13.4 13.1 19.9 0.59 .33 .67 .33 .43 .49 .39 .39 .48 .46 .53 .32 .49 .34 .51 .34 .49 -10.9 -10.8 -10.6 -10.0 -9.7 -7.1 -5.8 -5.6 -3.5 -1.4 -1.1 -1.0 -.8 -.7 .4 .6 1.9 29,714 21.1 .49 15,462 16.6 .45 -4.5 GM CONC Geometric mean Threshold limit TLV See table A-l for corapl concentrati value, ete listing on. of codes, occupations, and samples. NOTE. — Selected occupations had at least 200 samples in each period. bullgang occupations show slight in- creases (less than 2 pet) in the percent- age of samples exceeding the TLV. The average reduction in the percentage of samples exceeding the TLV was 4.5 pet for the occupations shown in the table. Dramatic changes in the percentage of sampled workers wearing respiratory pro- tection for these occupations are illus- trated in table A-8. All 17 occupations experienced an increase in the use of respiratory protection ranging from 5 to 20 pet despite reduction in dust levels. The average respirator wear increase for the occupations was 14 pet. The increase in the use of respiratory protection is attributed to increased worker awareness of health problems associated with respi- rable dust containing quartz and MSHA's respiratory protection program. Effect of Changing the RQ Standard As previously mentioned, MSHA has pro- posed to change the TLV for RQ from the formula to 100 Ug/m 3 of respirable quartz. MIDAS can be used to evaluate the effect of this change because every respirable dust record has the time- weighted average dust concentration and the percentage of quartz, thus the time- weighted average quartz concentration can be calculated for each record and com- pared to the proposed standard. Table 5 summarizes the quartz statistics for sel- ected commodities. These commodities ac- count for 46,846 of the 50,400 (92.7 pet) of the samples summarized in table 3. A previous paper (13) showed that both respirable dust and quartz concentrations approximated log-normal distributions. When a distribution is log-normal, the geometric mean or median and geometric standard deviation are the best measures of central tendency and dispersion. In table 5 both the arithmetic and geometric parameters are shown to facilitate com- parisons with other sets of data where only the arithmetic mean (AM) and arith- metic standard deviation were computed. The GM CONC's are all well below the proposed standard, whereas six TABLE 5. - Quartz statistics for selected commodities 1 Commodity Samples Concentration, yg/m 3 AM ASD GM GSD Quartz, pet (AM) Metal: Copper Gold Iron Lead and zinc Molybdenum Silver Uranium Nonmetal: Common clay Fire clay Nonmetal, not elsewhere classified. Phosphate rock Sand and gravel Stone: Cement Granite: Crushed • Dimension Limestone: Crushed Sandstone: Crushed Dimension • Stone: Crushed Traprock : Crushed 2,240 1,150 2,593 1,044 600 756 1,158 2,792 784 881 531 8,309 1,232 3,206 1,113 13,054 3,421 434 689 869 84 93 49 74 101 68 50 94 98 209 58 75 35 68 102 34 140 191 120 44 254 262 121 270 193 137 181 225 199 563 106 284 68 238 195 121 294 690 339 76 30 37 21 28 50 32 22 40 45 55 29 27 16 30 46 15 52 44 40 21 8.6 10.0 9.5 8.3 9.1 9.2 7.5 7.7 8.4 20.7 9.1 13.1 4.0 11.4 11.4 4.6 22.9 21.7 16.1 6.8 AM Arithmetic mean. ASD Arithmetic standard deviation. GM Geometric mean. GSD Geometric standard deviation. 'See table A-3 for complete listing of SIC codes, commodities, and samples. commodities have AM CONC's exceeding the proposed standard of 100 yg/m 3 of respirable quartz. It would be expected that fewer samples would exceed the new standard. For exam- ple, if a worker is sampled during a work -shift and a mass of 0.82 mg of respirable dust is deposited on the filter, then the time-weighted average concentration of dust for that sample is 1.0 mg/ra 3 . If the sample contains 9 pet quartz, the allowable respirable dust level is 0.91 mg/m 3 under the current standard. The time-weighted average res- pirable quartz concentration is 0.090 mg/m 3 . This sample exceeds the current standard but not the proposed standard of 100 yg/m 3 (0.100 mg/m 3 ) of respirable quartz. Table 6 shows the percentage of samples exceeding both standards for the commodities listed in table 5. The proposed standard would result in the reporting of about 4 pet fewer samples exceeding the TLV, and no mining activity would be adversely affected. COAL The objective of respirable dust sam- pling in coal mines is to ensure compli- ance with the 2.0-mg/m 3 coal mine dust standard or with the more rigorous stan- dard if the mine dust aerosol contains more than 5 pet quartz. A mine is out of compliance if the arithmetic average of five samples is over the standard. MSHA inspectors and coal mine operators regu- larly sample miners or areas known to 10 TABLE 6. - Effect of changing the RQ TLV Commodity 1 Samples >TLV, pet 100 yg/m 3 ; pet Change, pet Metal: Copper Gold Iron Lead and zinc Molybdenum Silver Uranium Nonmetal: Common clay Fire clay Nonmetal, not elsewhere classified Phosphate rock Sand and gravel Stone: Cement Granite: Crushed Dimension Limestone: Crushed Sandstone: Crushed Dimension Stone: Crushed Traprock: Crushed All commodities: 2 Total or average TLV Threshold limit value. 1 See table A-3 for complete listing of SIC code Includes data for commodities not shown in the 2,240 1,150 2,593 1,044 600 756 1,158 2,792 784 881 531 8,309 1,232 19.1 22.7 12.1 16.6 32.2 18.9 11.3 29.3 31.9 40.1 15.6 16.7 13.0 3,206 16.9 1,113 30.0 13,054 9.9 3,421 34.1 434 30.6 689 27.6 869 13.1 50,440 18.0 15.0 18.4 9.6 12.6 26.0 13.5 7.9 21.7 23.8 37.3 11.5 14.2 7.6 13.8 25.0 5.8 31.8 29.3 25.0 9.2 14.1 -4.0 -4.3 -2.5 -4.6 -6.2 -5.4 -3.4 -7.6 -7.8 -2.8 -4.1 -2.5 -5.4 -3.1 -5.0 -4.1 -2.3 -1.3 -2.6 -3.9 -3.9 s, commodities, and samples, table. have high dust exposure. In underground mines, MSHA inspectors are required to sample specific occupations referred to as designated occupations (DO). A DO is an occupation on a mining operation that is typically exposed to the highest res- pirable dust concentration. Examples of DO's would include the longwall shearer operator or the continuous miner opera- tor. In addition, the MSHA inspectors sample other underground occupations sus- pected to have high dust exposures such as roof bolters. These occupations are referred to as nondesignated occupations (NDO's). The results from the respirable coal dust analysis reported below are re- stricted to samples collected only by MSHA inspectors from 1981-84, and are for the most part restricted to DO and NDO samples collected in underground mines. Results reported for surface coal mines are limited to specific occupations. Mine compliance data are not reported, but the percentage of samples exceeding the 2.0 mg/m 3 standard is reported. It should be emphasized that, in coal mines, a single sample that exceeds the standard does not automatically place the mine in a noncompliance status. MSHA is required to inspect all under- ground coal mines four times each year, collecting dust samples twice a year, but the population of mines inspected changes from year to year depending upon the market for coal and other factors. From 1981 through 1984, MSHA inspectors collected about 66,000 full-shift, per- sonal, respirable dust samples in under- ground coal mines. About 16,500 samples _^^^>^^^M^^M ^H^M^H 1 1 were collected at approximately 1,550 different underground mines per year. An additional 10,000 samples per year were collected at surface coal mines. Table 7 shows the yearly trends in exposure for underground DO and NDO sam- ples. The sample size, the mean dust concentration, and the percentage of sam- ples exceeding the 2.0-mg/m 3 standard remained relatively constant from 1981 through 1984. Between 10 and 12 pet of the samples exceeded the standard and the GM CONC fluctuated between 0.59 and 0.69 mg/m 3 . A coal mine is out of compliance only when an average of five samples exceeds the 2.0 mg/m 5 standard, thus there are far fewer mines out of compliance than there are samples exceed- ing the standard. On average, about 1,800 samples exceeded the standard each year. Table 8 shows the 1984 statistics for DO and NDO underground mine samples grouped by mining method. The table accounts for more than 98 pet of all underground mine samples, despite the fact that methods of mining with less than 50 samples are not included because of small sample size. Mines with long- wall plows or shears have the highest GM TABLE 7. - Yearly trends in respirable dust exposure for samples collected in underground coal mines Statistic 1981 1982 1983 1984 Samples >TLV pet. . Concentration, mg/m : AM ASD GM GSD Median 16,233 11.9 1.12 1.88 0.66 2.80 0.80 16,244 11.0 1.12 1.86 0.69 2.68 0.80 16,687 9.9 1.01 1.40 0.59 2.85 0.70 16,452 11.9 1.12 1.97 0.65 2.83 0.70 AM Arithmetic mean. ASD Arithmetic standard deviation. GM Geometric mean. GSD Geometric standard deviation. TLV Threshold limit value. TABLE 8. - 1984 coal dust data by underground mining method Mining method Samples Concentration, mg/m 3 GM GSD >TLV, pet Longwall plow Longwall shear Conventional cut machine Continuous ripper Continuous bore Continuous auger Scoop shoot solids Scoop cut machine Conventional shoot with loading machine Hand-load shoot solid GM Geometric mean. GSD Geometric standard deviation. TLV Threshold limit value. NOTE. — For inclusion in the table there had to be at least 50 samples and the min- ing methods are ranked by the GM concentration. 151 963 1,558 10,946 153 553 525 997 84 258 1.64 1.29 .67 .66 .61 .57 .54 .47 .39 .38 2.25 2.18 2.69 2.75 3.02 4.06 3.18 2.96 2.70 2.58 43.7 25.2 10.2 10.9 10.5 20.8 9.3 7.9 7.1 3.9 12 CONC (1.64 and 1.29 mg/m 3 , respectively) and the greatest percentage of samples exceeding the 2.0-mg/m 3 standard (43.7 and 25.2 pet, respectively). However, many more samples (10,946) were recorded at mines using continuous rippers, where the GM CONC was 0.66 mg/m 3 and 10.9 pet of the samples exceeded the standard. Mines with augers had a lower GM CONC (0.57 mg/m 3 ) but 21 pet of the samples exceeded the standard. Augers also have the highest geometric standard deviation (4.06), which suggests that some of the reported dust concentrations are ex- tremely high. Table 9 is a cumulative frequency table that compares DO and NDO samples for the auger, continuous ripper, and longwall mining methods. Samples from longwall shears and plows were combined to in- crease the sample size. Four percentiles are shown— 20th, 50th, 80th, and 95th. A fifth value, the percentage of samples exceeding the 2.0-mg/m 3 standard (TLV) , is also shown. This can be converted to a percentile for each mining method by subtracting the value from 100. The per- centiles represent low exposure, median exposure, moderate exposure, and high exposure levels. For instance, at the 95th percentile concentration 5 pet of the samples exceed that value. With one exception the DO percentile values are greater than or equal to the correspond- ing NDO values. The only exception is the 95th percentile longwall NDO value, which is 0.3 mg/m 3 higher than the DO values. This finding confirms MSHA's selection of DO's as those occupations with the highest overall exposures. The auger samples have the highest 95th per- centile values (7.8 and 6.0 rag/m 3 ) and the lowest 20th percentile values (0.1 mg/m 3 ). This explains the high standard deviations for auger samples shown in table 8. Figure 1 illustrates the dis- tribution of these data, which is approx- imately log-normal and different for each mining method and sample type group. More mines use continuous rippers than any other mining method and these mines have the greatest number of samples exceeding the 2.0-mg/m 3 standard. Table 10 shows that the average number of samples collected per year at mines using continuous rippers was 11,036 and that the average number of samples over the standard was 1,120 or 10.1 pet. During any single year between 1981 and 1984 about 43 pet of the mines with continuous TABLE 9. - Differences between DO and NDO samples for three mining methods Group Samples Percentile concentrations, mg/ m 20th 50th 80th 95th >TLV, pet Auger: DO NDO Continuous ripper: DO NDO Longwall: DO NDO 116 437 2,5 20 8,426 296 818 0.1 0.1 0.4 0.2 1.1 0.7 0.5 0.5 0.8 0.7 1.7 1.4 2.7 1.8 1.8 1.5 2.7 2.2 7.8 6.0 3.6 2.7 4.0 4.3 28.4 18.8 14.2 9.9 34.8 25.2 DO Designated occupation. NDO Nondesignated occupation. TLV Threshold limit value. i^MM 95 80 50 o 20 UJ 3 O UJ tr U- 15 1 A \ i r-" - / KEY 1 • DO O NDO V i d l i I 0.7 20 6- 2.0 3.0 4.0 5.0 95 80 - 50 - 2.0 3.0 4.0 1 1 ' i i \J ? — • — c jS/S • Jl I 1 i KEY • DO O NDO l l 1 i i i i 20i 0.1 CONCENTRATION, mg/m 2 0.5 1.0 2.0 3.0 5.0 7.0 10.0 FIGURE 1.— Logarithmic probability plots of longwall {A), continuous ripper (8), and auger (C) samples grouped by designated occupation (DO) and nondesignated occupation (NDO). rippers had at least one sample exceeding the standard. For mines with longwall shears or plows, only 247 samples per year exceeded the standard at 40 differ- ent mines. Every mine reported to have a longwall operation also used continuous rippers for mine development. The dust concentrations were greater at mines with longwall operations but there were nearly nine times more continuous ripper opera- tions with one or more samples exceeding the 2.0-mg/m- 5 standard. However, as pre- viously mentioned this does not mean that all of these mines were out of compliance, because compliance with the standard is determined by an average of five samples. l<* TABLE 10. - Average number of samples exceeding 2.0 mg/m 3 for 1981-84 and average number of mines with samples exceeding 2.0-mg/m 3 standard Mining method Number Samples >TLV Number i£L Mines Number >TLV Number pet Continuous ripper . Conventional cut machine Scoop cut machine Longwall shear Continuous auger Scoop shoot solids Longwall plow . Conventional shoot with loading machine. Continuous bore • Hand-load shoot solid < 11,036 1,720 1,027 713 530 616 130 131 91 142 1,120 201 76 193 95 50 54 10 7 7 10.1 11.7 7.4 27.1 17.9 8.2 41.5 7.4 7.7 4.8 808 195 151 48 70 107 9 21 13 26 350 74 36 33 29 25 7 4 3 3 43.2 38.1 24.1 69.8 41.6 23.4 80.6 20.5 21.6 12.4 TLV Threshold limit value. NOTE. — The mining methods are ranked by the number of mines with at least 1 sample over the TLV. Table 11 shows the 1984 coal mine dust data for the most frequently sampled underground and surface occupations. Four occupations, longwall shear or plow operator, return side auger jack setter, longwall jack setter, and surface fine coal plant operator, had more than 28 pet of the samples exceeding the 2.0-mg/m- 5 standard for a total of 382 samples. In comparison, 558 samples collected on continuous miner operators (14.2 pet) and helpers (13.7 pet), and 420 (11.9 pet) samples collected on roof bolters were over the standard. As previously shown, mines with longwall operations have the highest GM CONC and longwall operators have the highest exposures. However, at the present time there are relatively few longwalls compared to other methods of mining so occupations not specific to longwall operation, such as roof bolters and continuous miner operators, account for more samples exceeding the 2.0-mg/m 3 standard. Table 12 shows the yearly statistics for five dusty occupations: continuous miner helper, longwall jacksetter, long- wall shear-plow operator, and roof bolter. There was a reduction in the GM CONC and the percentage of samples exceeding the 2.0-mg/m 3 standard for the longwall shear-plow operator and a re- duction in the percentage of samples exceeding the standard for the longwall jack setter. Levels for the other three occupations remained essentially constant over the 1981-84 4-yr period. n^nm^HMi TABLE 11. - 1984 coal mine dust data for underground and surface occupations Occupation Samples Concentration, mg/m GM GSD AM ASD >TLV, pet Underground: Longwall tailgate side Longwall jack setter Headgate operator Auger jack setter, return side Continuous miner operator Loading machine operator Continuous miner helper Roof bolter Roof bolter helper Cutting machine operator Utility man Shotf irer < Auger jack setter, intake Section foreman Shuttle car operator Mobile bridge operator Shuttle car operator standard side. Coal drill operator Scoop car operator , Mechanic • Motorman , Hand loader. ' Surface: Fine coal plant operator Highwall drill operator Cleanup man. Scalper-screen operator Cleaning plant operator Laborer Refuse truck driver Tipple operator Mechanic Bulldozer operator Scraper operator Highlif t operator Oiler-greaser Coal truck driver Coal shovel operator Crane-dragline operator 387 499 136 116 2,579 283 1,405 3,451 629 516 304 174 279 277 757 136 2,123 483 938 181 148 117 197 817 169 108 216 525 634 375 339 1,651 221 1,565 189 179 107 232 1.66 1.50 .87 .83 .77 .76 .73 .69 .65 .64 .64 .58 .57 .55 .54 .53 .51 .48 .47 .44 .41 .30 1.00 .62 .58 .58 .49 .44 .38 .35 .31 .30 .25 .22 .22 .22 .19 .17 1.93 1.84 2.55 4.89 2.83 2.58 2.76 2.74 2.80 2.99 2.68 2.93 3.81 2.52 2.59 3.13 2.58 2.94 2.85 2.44 3.01 2.47 .85 .36 .92 .67 .90 .11 .61 .90 .86 .49 .54 .29 .30 .01 .12 .14 2.03 1.80 1.30 2.44 1.31 1.15 1.15 1.09 1.02 1.23 1.17 1.00 1.69 .83 .86 1.03 .80 .97 .78 .66 .74 .47 1.51 1.29 1.04 .88 .88 .97 .59 .64 .63 .48 .43 .34 .32 .29 .26 .43 1.45 1.30 1.24 4.17 2.31 1.30 1.31 1.24 .97 3.05 4.20 1.28 5.47 .99 1.22 1.45 2.00 3.02 .99 .81 .96 .50 1.19 2.05 1.67 .80 1.50 3.16 .61 .86 2.19 .98 .69 .43 .35 .24 .28 3.15 34.6 28.7 18.4 36.2 14.2 12.4 13.7 11.9 12.1 12.2 9.1 10.3 16.8 5.4 4.9 11.0 5.6 6.2 5.6 2.8 6.1 4.3 32.0 17.1 10.0 9.3 6.5 7.4 3.3 6.4 2.9 2.0 3.2 1.3 .5 .9 AM Arithmetic mean. ASD Arithmetic standard deviation. GM Geometric mean. See table A-4 for complete list of GSD Geometric TLV Threshold standard limit va deviation, lue. codes, occupations, and samples NOTE. — Only occupations with at least 100 they are ranked by GM concentration. samples are included in this table and 16 TABLE 12. - Trends in exposure for five underground coal mine occupations Occupation Continuous miner operator: Samples AM CONC mg/m 3 ASD mg/m 3 , GM CONC rag/m 3 GSD rag/m 3 >TLV pet Continuous miner helper: Samples AM CONC mg/m 3 . ASD mg/m 3 GM CONC mg/m 3 , GSD mg/m3, > TLV pet Longwall jack setter: Samples AM CONC rag/m 3 , ASD mg/m 3 GM CONC rag/m 3 GSD rag/m 3 , >TLV pet Longwall shear-plow operator: Samples AM CONC rag/m3 , ASD rag/m 3 GM CONC mg/m 3 , GSD mg/m 3 , >TLV pet. Roof bolter: Samples AM CONC . rag/m 3 , ASD rag/ra 3 , GM CONC mg/m 3 . GSD mg/m 3 . >TLV pet, AM CONC Arithmetic mean concentration. ASD Arithmetic standard deviation. GM CONC Geometric mean concentration. GSD Geometric mean standard deviation. TLV Threshold limit value. 1981 1982 1983 1984 2,196 1.30 2.20 0.82 2.63 14.6 1,349 1.14 1.16 0.77 2.61 12.7 269 1.72 1.30 1.35 2.10 32.0 188 2.60 2.49 1.88 2.30 47.9 3,382 1.21 2.01 0.76 2.70 13.3 2,484 1.26 2.45 0.82 2.52 13.0 1,512 1.12 1.06 0.78 2.45 10.7 296 1.79 1.39 1.43 2.00 40.4 213 2.16 1.53 1.74 1.97 41.3 3,464 1.24 2.43 0.77 2.67 13.0 2,445 1.14 1.21 0.73 2.70 12.4 1,413 1.01 1.10 0.66 2.67 9.5 414 1.79 1.65 1.40 2.00 27.5 328 1.95 1.35 1.57 1.97 34.4 3,624 1.00 1.18 0.63 2.75 9.6 2,579 1.31 2.31 0.77 2.83 14.2 1,405 1.15 1.31 0.73 2.76 13.7 499 1.80 1.30 1.50 1.84 28.7 387 2.03 1.45 1.66 1.93 34.6 3,451 1.09 1.24 0.69 2.74 11.9 SUMMARY AND CONCLUSIONS The MIDAS data base stores environ- mental data collected from coal mines and metal and nonmetal mines or mills. The metal and nonmetal data were collected by MSHA inspectors from 1974 to the present, whereas the coal respirable dust data were collected by both coal mine opera- tors and MSHA inspectors from 1970 to the present. There are about 450,000 records from metal and nonmetal mines and mills and 6.5 million records from coal mines in the data base. The data base is split into two subsys- tems — metal-nonmetal and coal. The soft- ware used to analyze each subsystem is similar but not identical because of the different record formats and different coding systems used in each. The soft- ware is user friendly, menu driven, and requires minimum knowledge of the central computer operating system. Reports are in the form of tables and graphs. This report also describes results from analyses of the metal and nonmetal respirable quartz (RQ) data and the coal mine respirable dust data gathered by MSHA inspectors from 1981 through 1984. Major findings of these analyses follow. 1. There was a reduction in the per- centage of samples exceeding the RQ stan- dard in metal and nonmetal mines from 1974 through 1979, and a slight increase from 14.7 to 17.2 pet from 1980 through 1984. This increase was accompanied by the collection of fewer samples by MSHA and policy changes caused by the passage of the 1977 act and changes in the 1982 appropriation. Overall, 9,000 RQ samples (18 pet) exceeded the RQ standard. 2. The use of respiratory protec- tion among metal and nonmetal mine work- ers sampled by MSHA increased from 18 pet in 1974 to 47 pet in 1984. Occupa- tions showing the greatest increase in the use of respiratory protection were jack stoper driller (20.4 pet increase), pneumatic drill operator (20.3 pet in- crease), and flotation operator (19.7 pet increase). 3. Baggers in nonmetal mills had the highest percent of samples exceeding the RQ standard, but showed the m greatest overall improvement with an 11-pct reduc- tion in overexposure from the 1974-79 to 1980-84 period. Flotation operator, truck driver, and jack stoper driller occupations also reduced the percentage of samples over the standard by 10 pet or more for the same time periods. Three occupations, stope miner, motorman, and laborer, showed slight increases in the percent of overexposures for these two time periods. 4. Analysis of metal and nonmetal RQ data collected by MSHA inspectors showed that the net effect of changing the cur- rent standard from a formula based upon the percentage of quartz in the sample to a standard of 100 ug/m 3 of respirable quartz would be 4 pet fewer samples would exceed the standard. 5. Analysis of coal mine respirable dust data showed that between 1981 and 1984, 10 to 12 pet of the samples ex- ceeded the 2.0-mg/m 3 standard while the geometric mean concentration (GM CONC) fluctuated between 0.59 and 0.69 mg/m 3 . On average, about 1,800 samples exceeded the standard each year. However, far fewer mines were out of compliance be- cause compliance is based on the arithme- tic average of five samples exceeding the 2.0-mg/m 3 standard. 6. Designated occupation concentra- tions are generally higher than the non- designated occupation values at mines using longwall, continuous rippers, or augering as the mining method. 7. Mines with longwall plows or shears have the highest GM CONC (1.64 and 1.29 mg/m 3 ) and the greatest percentage of samples exceeding the 2.0-mg/m 3 standard (43.7 and 25.2 pet). However, many more samples (10,946) were recorded at mines using continuous rippers with 10.9 pet of the samples exceeding the 2.0-mg/m 3 limit with a GM CONC of 0.66 mg/m 5 . The dust concentrations were greater at mines with longwall operations but there were nearly nine times more continuous ripper oper- ations with samples having dust concen- trations greater than the Federal standard. 8. Coal mine occupations with the greatest percent of samples exceeding the 2.0-mg/m 3 standard were auger jack set- ter, longwall shear-plow operator, fine coal plant operator, and longwall jack setter. Occupations with the greatest number of samples exceeding the 2.0-mg/m 5 standard were continuous miner operator and helper, roof bolter, and highwall drill operator. REFERENCES 1. National Materials Advisory Board. Measurement and Control of Respirable Dust in Mines. Natl. Acad. Sci. , Wash- ington, DC, NMAB-363, 1980, 405 pp. 2. U.S. Congress. Federal Mine Safety and Health Act of 1977. Public Law 91- 173, as amended by Public Law 95-164, Nov. 9, 1977, 83 Stat. 803. 3. U.S. Code of Federal Regulations. Title 30 — Mineral Resources; Chapter 1 — Mine Safety and Health Administration, Department of Labor; July 1, 1984. 4. American Conference of Governmental Industrial Hygienists (Cincinnati, OH). TLV's — Threshold Limit Values for Chemi- cal Substances in Workroom Air Adopted by the ACGIH in 1973. 1973, 54 pp. 5. Watts, W. F., Jr., R. L. Johnson, D. J. Donaven, and D. R. Parker. An Introduction to the Mine Inspection Data Analysis System (MIDAS). BuMines IC 8859, 1981, 41 pp. 6. Sutton, G. W. , G. W. Weeras, L. A. Schutz, and G. D. Trabant. Summary Re- port of the Environmental Results of the MSHA and NIOSH Silica/Diesel Exhaust Study. Paper in Industrial Hygiene for Mining and Tunneling. Proceedings of a Topical Symposium sponsored by ACGIH, November 6 and 7, 1978, Denver, CO. ACGIH, 1979, pp. 109-117. 7. Watts, W. F., D. R. Parker, and J. E. Small-Johnson. Gas and Dust Con- centrations at 18 Underground, Diesel- ized, Noncoal Mines. Pres. at Am. Ind. Hyg. Assoc. Meet., May 19-24, 1985, Las Vegas, NV, 17 pp.; available from W. F. Watts, Jr., BuMines, Minneapolis, MN. 8. Dixon, W. J. (ed. ). BMDP Statis- tical Software. Univ. CA Press, 1985, 734 pp. 9. U.S. Congress. The Federal Mine Safety and Health Act of 1977. Public Law 91-173, as amended by Public Law 95- 164, Nov. 9, 1977, 91 Stat. 1291 and 1299. 10. Treaftis, H. N. , A. J. Gero, P. M. Kacsmar, and T. F. Tomb. Comparison of Mass Concentrations Determined With Per- sonal Respirable Coal Mine Dust Samplers Operating at 1.2 Liters Per Minute and the Casella 113A Gravimetric Sampler (MRE). Am. Ind. Hyg. Assoc J. , v. 45, No. 12, 1984, pp. 826-832. 11. American Conference of Governmen- tal Industrial Hygienists (Cincinnati, OH). Documentation of the Threshold Limit Values. 4th ed. , 1980, pp. 364- 365. 12. U.S. Mine Safety and Health Ad- ministration. Preproposal Draft Air Quality Standards. 1983, 61 pp. ; avail- able from Health Div. for Metal and Non- metal Safety and Health, MSHA, Arlington, VA. 13. Watts, W. F., Jr., D. R. Parker, R. L. Johnson, and K. L. Jensen. Analy- sis of Data on Respirable Quartz Dust Samples Collected in Metal and Nonmetal Mines and Mills. BuMines IC 8967, 1984, 28 pp. APPENDIX. --MSHA SAMPLING CODES, DESCRIPTORS, AND SELECTED DATA TABLE A-l. - Metal and nonmetal occupation codes iy Code Occupation 28. . Scoop-tram 29. . Mucking machine , 30. . Slusher 32. . Brattice 34. . Diamond drill , 35.. Continuous miner helper..... 36.. Continuous miner operator.., 37.. Cutting machine helper , 38.. Cutting machine operator..., 39.. Hand loader , 41.. Jack setter , 43.. Gather arm loader 45.. Hand and chute blast 46.. Rock and roof bolter 48.. Roof bolter mounted 53. . Utility man , 57.. Stope miner , 58.. Drift miner , 59. . Raise miner , 79. . Crusher , 134. Jet-piercer channel , 154. Belt cleanup , 179. Ball and rod mill , 216. Track gang , 234. Jet piercer drill , 261. Battery station , 279. Hammer mill 331. Clam-shell 334. Wagon drill , 342. Bit grinding and sharpening, 344. Car shakeout 352. Iron and metal work 367. Shovel operator 368. Bulldozer 372. Barge and dredge 375. Road grader 376. Trucker 378. Mobile crane 379. Dryer and kiln 385. Lampman 387. Rotary bucket excavation... 588. Sizing and washing 601. Conveyor belt 602. Electrician 603. Electrician helper 604. Mechanic 607 . Jackhammer 608. Mason 609. I Supply man nipper Samples Code Occupation Samples Belt vulcanizer Cleanup man 4,712 Sampler 27 Laborer and bullgang.... 571 Greaser and oiler 61 Welder 159 Dump operator 192 Surveyor Rotary drill 74 Administrator 419 Machinist Shaft miner 3 Tractor operator 11 Puller and truck loader. 138 Leaching operations 14 Warehouse man 376 Dragline 11 Flotation 657 Scraper-loader 46 Shotcrete man Ventilation crew 1 Ground control 98 Cement operations 223 Grizzly tender 9 Load, haul, dump cycle.. 123 Pneumatic drill 1,049 Hand trammer 4 Hand scaling 1 Diesel shuttle 10 Raise borer Shaft repair Dry sandfill 14 Wet sandfill 2 Backhoe 2 Pelletizing 350 Front-end loader 13,463 Scalper screen 19 Forklift 28 Top skip and tipple 5 Weight and scale 8 Carpenter 1 Yard engine 3 Stone and rock saw 326 Janitor 2 Salvage crew Aerial tram 1 Churn drill 4 Engineer 263 Hydrating plant 4 19 94 290 76 3 66 1 2 2 2 96 2 125 1,248 80 7 8,342 110 21 1,523 46 6 8 3 1,634 6 1 97 1,122 64 9 1,259 11 1,982 1 1,751 25 7 1,691 112 6 612. 613. 614. 616. 618. 619. 622. 623. 634. 649. 660. 663. 668. 669. 673. 674. 678. 679. 682. 706. 708. 710. 716. 726. 728. 734. 739. 747. 750. 759. 763. 765. 766. 778. 779. 782. 388. 389. 392. 393. 394. 397. 399. 413. 416. 420. 434. 456. 479. 20 TABLE A-l. - Metal and nonmetal occupation codes — Continued Code Occupation Dry screen plant.., Building repair..., Lab technician. Tamping machine..., Jack stoper drill.. Slurry and mix. Plumber , Powder gang , Bobcat , Drill helper , Mechanical scaling, Samples Code Occupation Ramcar , Overhead crane Bagging and packing..., Painter Cager Hoist , Skip tender Jumbo percussive drill, Electic shuttle Trip rider swamper. Motorman Samples 488. 513. 514. 516. 534. 579. 804. 807. 825. 833. 847. 233 850. 29 878. 58 879. 894. 675 920. 109 921. 17 930. 36 934. 11 950. 15 962. 4 969. 6 2,745 4 148 17 50 1,087 TABLE A-2. - Metal and nonmetal location codes Code Location Underground: 1 Active mining. 3 Exploration and development , 5 Travel and haul way. 7 Shaft and station. 9 Hoistroom. 11 Ore processing. 13 Ore transfer point. 15 Shops. 17 Office and storeroom. 19 General. 21 Construction. Surface: 31 Active mining. 33 Exploration and development, 35 Roads. 39 Tailings pond. 41 Ore processing. 43 Ore transfer point. 45 Shops. 47 Office and storage. Code Location Surface — Con. 49 General. 51 Construction. Mill: 61 Crushing. 63 Grinding. 65 Washing and screening. 67 Dry screening. 69 Drying and roasting. 71 Ore transfer point. 73 Shops. 75 Office and storage. 77 General. 79 Flotation and reagents, 81 Pelletizing. 83 Bagging and packing. 85 Construction. Miscellaneous: 37 Dredges and barges . 99 Anywhere. 21 TABLE A-3. - Metal and nonmetal SIC codes Code Commodity Samples' Code Commodity NONMETAL— Continued: Phosphate rock , Salt rock , Sulfur , Chemical fertilizer...., Lithium , Pigment minerals , Pyrites , Strontium , Gypsum , Talc and pyrophylite. . . , Nonmetal minerals Asbestos Gems tones , Gilsonite Mica Peat , Perlite , Pumi ce , Vermiculite , Industrial chemicals..., Alumina , Evaporated salt , Brine salt , Leonardite , STONE Other dimension stone.., Dimension granite , Dimension limestone...., Dimension marble , Dimension sandstone...., Dimension slate Dimension traprock Crushed limestone Crushed granite , Crushed stone Crushed marble , Crushed sandstone Crushed slate , Crushed traprock Cement Lime SAND AND GRAVEL Sand and gravel UNKNOWN Unknown. Samples' METAL 10110 10210 10310 10410 10440 10510 10610 10611 10612 10613 10614 10615 10616 10617 10920 10940 10941 10942 10990 10991 10992 10993 10994 10995 10996 10997 13111 13112 14530 14550 14590 14591 14592 14593 14594 14595 14596 14720 14730 14740 14741 14742 14743 14744 Iron Copper Lead and zinc Gold Silver Aluminum Ferroalloy Chromite Cobalt Columbium, tantalum.... Manganese Molybdenum Ni eke 1 Tungsten Mercury Uranium and vanadium. . . Uranium Vanadium Other metal Antimony Beryl Platinum Rare earths Tin Titanium Zircon NONMETAL Oil shale Oil sand Fire clay Common clay Ceramic clay Aplite Brucite Feldspar. Kyanite , Magnesite Common shale , Barite Fluorspar , Potash, soda, borate. Boron , Potash , Trona , Sodium compounds...., 2,593 2,240 1,044 1,150 756 8 5 20 600 6 53 11 275 1,158 6 34 37 4 23 1 8 102 784 2,792 13 7 252 27 326 226 142 2 21 2 13 14750 14760 14770 14790 14791 14792 14793 14794 14920 14960 14990 14991 14992 14993 14994 14995 14996 14887 14998 28190 28191 28991 28992 29900 14110 14111 14112 14113 14114 14115 14116 14220 14230 14290 14291 14292 14293 14294 32410 32740 14410 531 16 113 4 241 183 881 3 7 2 146 29 37 15 10 50 57 1,113 259 35 434 260 58 13,054 3,206 689 18 3,421 94 869 1,232 323 8 ,309 68 For respirable quartz. 22 TABLE A-4. - Occupation codes most frequently used in 1984 by MSHA coal mine inspectors Code Occupation Samples Code Occupation Samples UNDERGROUND FACE UNDERGROUND FACE— Continued 1... 4... 7... 10.. 16.. 34.. 35.. 36.. 37.. 38.. 39.. 40.. 41.. 43.. 44.. 46.. 47.. 48.. 49.. 50.. 52.. 53.. 54.. 55.. 72.. T Belt man , Mechanic. *. , Shotf irer , Auger jack setter (intake side) , Laborer , Coal drill operator Continuous miner helper.., Continuous miner operator, Cutting machine helper. . . , Cutting machine operator., Hand loader , Headgate operator , Longwall jack setter , Loading machine operator.. Longwall (tailgate side)., Roof bolter , Roof bolter helper , Roof bolter (return side), Section foreman , Shuttle car operator (standard side) , Tailgate operator , Utiltity man , Scoop car operator , Auger jack setter (return side) , Mobile bridge operator..., 57 181 174 279 63 483 1,405 2,579 96 516 117 136 499 283 387 3,451 629 78 277 2,123 71 304 938 116 136 73.. 74.. 302, 304. 310, 313. 314. 316. 318. 319, 367, 368, 373, 374. 375. 376. 378. 380. 382. 383. 384. 386. 388. 392. 999. Shuttle car operator (off standard) Motorman SURFACE Electrician Mechanic Scraper operator. Cleanup man Coal sampler Laborer Oiler-greaser Shop welder Coal shovel operator Bulldozer operator Car dropper Cleaning plant operator.. Road grader operator Coal truck driver Crane-dragline operator.. Fine coal plant operator. Highlift operator Driller highwall helper.. Highwall drill operator.. Refuse truck driver Scalper-screen operator.. Tipple operator Not designated 757 148 87 339 221 169 74 525 189 91 107 1,651 92 216 79 179 232 197 1,565 57 817 634 108 375 1,335 Respirable coal dust. TABLE A-5. - MSHA coal mine codes for mine type Code Mine type 1970-80: Surface. 1 Development. 2 Retreat. Code Mine type Post-1980: A Surface. B Underground. 23 TABLE A-6. - MSHA coal mine codes for sample type Code Sample type 1970-80 inspector and operator: Surface. 1 High risk. 2 Intake air. 3 Non-high risk. 4 Nonf ace. 5 Part 90 miner. Post-1980 inspector: 1 Designated occupation. 2 Nondesignated occupation, 3 Designated area. 4 Designated work position. Code Sample type Post-1980 inspector — Continued 5 Part 90 miner. 6 Nondesignated area. 7 Intake air. 8 Nondesignated work position. Post-1980 operator: 1 Mechanized mining unit. 2 Nondesignated occupation. 3 Designated area. 4 Designated work position. 5 Part 90 miner. TABLE A-7. - MSHA coal mine codes for mining method Code Mining method 1970-80: 1 Continuous. 2 Conventional. 3 Longwall. 4 Other. 5 Surface. Post-1980: A Longwall shear. B Longwall plow. C Continuous ripper. D Continuous bore. E Continuous auger. Code Mining method Post-1980 — Continued F Continuous shortwall. G Conventional with cutting machine. H Scoop with cutting machine. I Scoop shoot off solids. J Conventional shoot with loading machine. K Hand load cutting machine. L Hand load shoot off solids. M Hand load anthracite. N Other (surface). TABLE A-8. - Percentage of metal and nonmetal miners wearing respirators Occupation 1974-79 1980-84 Change Occupation 1974-79 1980-84 Change Jack stoper drill. . Pneumatic drill.... Flotation operator. 38.3 38.7 30.3 30.4 36.9 45.8 26.9 33.5 45.4 58.7 59.0 50.0 49.2 55.2 61.6 41.9 48.3 59.9 20.4 20.3 19.7 18.8 18.3 15.8 15.0 14.8 14.5 25.9 32.4 30.7 60.0 21.2 36.9 18.6 42.3 39.9 46.0 44.2 71.4 31.6 45.5 26.4 47.5 14.0 Crusher worker. . . . 13.6 13.5 11.4 General cleanup.... Ball and rod mill.. Front-end loader.. Sizing and washing 10.4 8.6 7.8 5.2 35.0 49.2 14.2 15087 21f INT.-BU.OF MINES,PGH.,PA. 28408 U.S. Department of the Interior Bureau of Mines— Prod, and Oistr. Cochrans Mill Road P.O. Box 18070 Pittsburgh. Pa. 15236 OFRCIALSUSINESS PENALTY FOR PRIVATE USE, S300 J Do not wish to receive this material, please remove from your mailing list* 73 Address change. Please correct as indicated* AN EQUAL OPPORTUNITY EMPLOYER 'V «£ ^ .£ ^ •^7«- ^ "V' 7 ^'' \ ^,. '.' • H» v * * ' ^ ^6* v v. O » ^ -J»- W ••«£ %S •«• V -A V^ iH #*"V JS^-y y^V v^v v^v ^^v \-^- • V^ -fc%/ A; %>/ :&££: V* fife: ^/ A' %<** f\ 0? %-^^\o^ v X« : > ^^ , / ■%*----\^ < ^ o *^ 0*0 <^ : 7W^ , .6* ■flHMEBBM %' I I .;}! ■ ■ ^^B ■ ■'«''> I V 4* " ■ ■* ♦ ■ ■ ■ ■ H « •»f ,**'' H *» I I ■ LIBRARY OF CONGRESS 002 953 943 1