SOLUTION: undertake a chemical risk assessment of worker exposure

Roh.nikmal@gmail.com Available Marks (20%) Introduction You have just been appointed as a graduate Occupational Safety & Health (OSH) manager. You have been asked to undertake a chemical risk assessment of worker exposure while carrying out sanitisation tasks. The workers onsite consistently use 2-propanol (IPA) and Klericide, to wipe materials, tools, equipment etc. in cleanroom areas. The process involves initially spraying an aqueous solution of Klericide in a materials entry room, 3 meters x 4 meters. The Klericide material must be left for a minimum contact time of six minutes in this area and the items are then moved into a similar sized adjoining room where they are sprayed with Decahol product, containing 2-propanol, and wiped thoroughly. Latex gloves are worn by the workers throughout the process. No RPE is utilised. Lint free wipes are utilised throughout the wiping process and these are disposed of in hazardous waste bins in the appropriate rooms. Klericide contains sodium hypochlorite (bleach). The SDS does not categorise this chemical as hazardous by inhalation. However literature research reveals that sodium hypochlorite used in this manner may release chlorine gas (Cl2). There are currently 60 air changes per hour in these rooms. Your Tasks Undertake an Initial desktop chemical risk assessment of this process and include the following; Identify what chemicals are in use and their intrinsic hazards. Also identify routes of exposure – via inhalation, absorption, ingestion etc. (refer to SDS’s) From your brief literature search, what is the likelihood of adverse health effects for these workers based on the chemicals and their use in this application. What health surveillance may need to be considered. (Remember to consider all routes of exposure and which ones are relevant).Propose suitable occupational hygiene monitoring methodologies to determine the risk of exposure to these workers from inhalation from 2-propanol and chlorine gas.Based on analysis of the Occupational Exposure monitoring data provided below what is the likelihood of adverse chronic (latent) health effects for workers Table 1. Personal Exposure Results, 2-PropanolLocationTask/OperatorDate Sampling8 hr TWA Exposure (mg/m3)Materials InterlockAndrew Moynihan3/03/201775James Duffy3/03/201782Orlane Wang5/6/201771Michael Higgins5/6/201728Jimmy Hanley13/9/20178Colin McMoreland14/9/201831Bridgit Ginnity27/10/2018150Patrick O’Hara03/01/2019150Sarah Magee23/01/201929Shane Farrell2/02/20192458Hr TWA OELV 2-Propanol490 mg/m3 Table 2. Personal Exposure Results, ChlorineLocationTask/OperatorDate Sampling8 hr TWA Exposure (mg/m3)Materials InterlockAndrew Moynihan3/03/20170.0054James Duffy3/03/20170.0089Orlane Wang5/6/20170.010Michael Higgins5/6/20170.0094Jimmy Hanley13/9/20170.0085Colin McMoreland14/9/20180.0053Bridgit Ginnity27/10/20180.010Patrick O’Hara03/01/20190.0088Sarah Magee23/01/20190.011Shane Farrell2/02/20190.0178 hr TWA Occupational Exposure Limit Chlorine (ACGIH Proposed Limit)0.30 mg/m3 Comment on what actions or additional controls you might think would be reasonable based on analysis of this data. (Refer to the Safety Health and Welfare at Work (Chemical Agents) Regulations, 2001). Content Part 1 maximum 2 pages (tabulate your RA) Part 2 maximum 2 pages Part 3 maximum 1 page Part 4 maximum 2 pages Part 5 maximum 1 page Substance: Chlorine OEL: 0.3 mg/m^3 —————————————— Order Statistics —————————————— n = 10 min = 0.0053 max = 0.0170 median = 0.0092 —————————————— Descriptive Statistics —————————————— mean = 0.0094 sd = 0.0033 gm = 0.0090 gsd = 1.4000 —————————————— Compliance Statistics (lognormal) —————————————— X0.95 = 0.0156 95%LCL = 0.0126 95%UCL = 0.0238 ExcFrac = 0.0000 95%LCL = 1000 MUC (OELxAPF) : 0.300000 3.000000 15.000000 300.000000 Prior 0.200 0.200 0.200 0.200 0.200 Likelihood 1.000 0.000 0.000 0.000 0.000 Posterior 1.000 0.000 0.000 0.000 0.000 Parameter space: GMmin = 0.00613 GMmax = 1.5E3 GSDmin = 1.05 GSDmax = 4 Substance: 2-propanol OEL: 490 mg/m^3 —————————————— Order Statistics —————————————— n = 10 min = 8.0000 max = 245.0000 median = 73.0000 —————————————— Descriptive Statistics —————————————— mean = 96.4000 sd = 88.0000 gm = 61.6000 gsd = 2.9600 —————————————— Compliance Statistics (lognormal) —————————————— X0.95 = 367.0000 95%LCL = 186.0000 95%UCL = 1.45E0003 ExcFrac = 0.0279 95%LCL = 0.003 95%UCL = 0.162 —————————————— Compliance Statistics (non-parametric) —————————————— —————————————— Goodness-of-fit Test —————————————— Fillibens Test: R = 0.972 critical R = 0.918 Interpretation: the lognormal distribution hypothesis is not rejected. —————————————— Bayesian Decision Analysis —————————————— OEL Interpretation (i.e., Decision Statistic): 95th Percentile Type of prior decision distribution: Uniform prior Rating: 0-T 1-HC 2-WC 3-C 4-PC Cutoff (%OEL): 1.0 10.0 50.0 100.0 >100.0 Prior 0.200 0.200 0.200 0.200 0.200 Likelihood 0.000 0.000 0.265 0.544 0.191 Posterior 0.000 0.000 0.265 0.544 0.191 Cum Likelihood 0.000 0.000 0.265 0.809 1.000 Cum Posterior 0.000 0.000 0.265 0.809 1.000 Parameter space: GMmin = 0.100193 GMmax = 2450 GSDmin = 1.05 GSDmax = 4 —————————————— PPE Selection —————————————— OEL Interpretation (i.e., Decision Statistic): 95th Percentile Type of prior decision distribution: Uniform prior Respirator APF: 1 10 50 1000 >1000 MUC (OELxAPF) : 490.000000 4900.000000 24500.000000 490000.000000 Prior 0.200 0.200 0.200 0.200 0.200 Likelihood 0.809 0.191 0.000 0.000 0.000 Posterior 0.809 0.191 0.000 0.000 0.000 Parameter space: GMmin = 10 GMmax = 2.45E6 GSDmin = 1.05 GSDmax = 4