| Literature DB >> 26726918 |
Meleah D Boyle1, Devon C Payne-Sturges1, Thurka Sangaramoorthy2, Sacoby Wilson1, Keeve E Nachman3, Kelsey Babik1, Christian C Jenkins1, Joshua Trowell1, Donald K Milton1, Amir Sapkota1.
Abstract
The recent growth of unconventional natural gas development and production (UNGDP) has outpaced research on the potential health impacts associated with the process. The Maryland Marcellus Shale Public Health Study was conducted to inform the Maryland Marcellus Shale Safe Drilling Initiative Advisory Commission, State legislators and the Governor about potential public health impacts associated with UNGDP so they could make an informed decision that considers the health and well-being of Marylanders. In this paper, we describe an impact assessment and hazard ranking methodology we used to assess the potential public health impacts for eight hazards associated with the UNGDP process. The hazard ranking included seven metrics: 1) presence of vulnerable populations (e.g. children under the age of 5, individuals over the age of 65, surface owners), 2) duration of exposure, 3) frequency of exposure, 4) likelihood of health effects, 5) magnitude/severity of health effects, 6) geographic extent, and 7) effectiveness of setbacks. Overall public health concern was determined by a color-coded ranking system (low, moderately high, and high) that was generated based on the overall sum of the scores for each hazard. We provide three illustrative examples of applying our methodology for air quality and health care infrastructure which were ranked as high concern and for water quality which was ranked moderately high concern. The hazard ranking was a valuable tool that allowed us to systematically evaluate each of the hazards and provide recommendations to minimize the hazards.Entities:
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Year: 2016 PMID: 26726918 PMCID: PMC4700999 DOI: 10.1371/journal.pone.0145368
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Extent of the Marcellus Shale in Garret and Allegany Counties in Western Maryland.
Description of the evaluation criteria used for hazard ranking.
| Evaluation Criteria | Result | Score | Description |
|---|---|---|---|
| Presence of vulnerable populations | No | 1 | Affects all populations equally |
| Yes | 2 | Disproportionately affects vulnerable populations | |
| Duration of exposure | Short | 1 | Lasts less than 1 month |
| Medium | 2 | Lasts at least one month but less than one year | |
| Long | 3 | Lasts one year or more | |
| Frequency of exposure | Infrequent | 1 | Occurs sporadically or rarely |
| Frequent | 2 | Occurs constantly, recurrently | |
| Likelihood of health effects | Unlikely | 0 | Prior evidence suggests exposure is not related to adverse health outcomes |
| Unknown | 1 | Evidence is inconclusive/insufficient data | |
| Possible | 2 | Prior evidence suggests exposures may be associated with adverse health outcomes | |
| Likely | 3 | Prior evidence suggests similar exposures to be associated with adverse health outcomes | |
| Magnitude/severity of health effects | None | 0 | No adverse health effects |
| Unknown | 1 | Evidence inconclusive/insufficient data | |
| Low | 2 | Causes health effects that can be quickly and easily managed, do not require medical treatment | |
| Medium | 3 | Causes health effects that necessitate treatment of medical management and are reversible | |
| High | 4 | Causes health effects that are chronic, irreversible or fatal | |
| Geographic extent | Localized | 1 | Effects occur in close proximity to UNG-Development and/or Production |
| Community-wide | 2 | Effects occur across most of the community | |
| Effectiveness of setback | Positive | 1 | Setback is anticipated to minimize health effects |
| Negative | 2 | Setback is not anticipated to minimize health effects | |
| Public health impact | Low concern | Green | Hazard received a score of 5–9 |
| Moderately high concern | Yellow | Hazard received a score of 10–14 | |
| High concern | Red | Hazard received a score of 15–18 |
Overview of Hazard Ranking.
| Evaluation Criteria | Air Quality | Water Quality | Noise | Earthquakes | Social Determinants of Health | Healthcare Infrastructure | Cumulative Exposure/Risk | Occupational |
|---|---|---|---|---|---|---|---|---|
| Presence of vulnerable populations | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 |
| Duration of exposure | 3 | 3 | 3 | 1 | 3 | 3 | 3 | 3 |
| Frequency of exposure | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 |
| Likelihood of health effects | 3 | 1 | 2 | 0 | 3 | 2 | 2 | 3 |
| Magnitude/severity of health effects | 4 | 1 | 2 | 0 | 3 | 3 | 1 | 4 |
| Geographic extent | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 |
| Effectiveness of setback | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 |
| Overall score | 16 | 13 | 13 | 7 | 16 | 16 | 14 | 18 |
| Public health impact | H | M | M | L | H | H | M | H |
Summary of Rationale for Hazard Ranking for Air, Water and Health Care Infrastructure Examples.
| Evaluation Criteria | Score | Rationale for Score |
|---|---|---|
| Air Quality | ||
| Presence of vulnerable populations | 2 | Individuals living closer to the UNGDP facilities will experience disproportionate exposure |
| Duration of Exposure | 3 | Exposure related to production, such as those associated with compressor stations will continue to persist for years/decades. |
| Frequency of exposure | 2 | Continuous exposure |
| Likelihood of health effects | 3 | Exposure to UNGDP related changes in air quality associated with adverse birth outcomes including NTD and CHD. Strong epidemiologic evidence from studies outside of UNGDP settings that show exposures to air pollutants associated with UNGDP related activities, including crystalline silica, VOCs, and PM have adverse health effects. |
| Magnitude/severity of health effects | 4 | Human studies from other fields show that exposure to air pollutants that are present in UNGDP processes are known to cause human health effects that can be irreversible, chronic, and at times fatal. |
| Geographic extent | 1 | Impact will be more pronounced in the immediate vicinity of the UNGDP facilities. |
| Effectiveness of setback | 1 | Adequate setback from the corner of a UNGDP facility to the corner of a residential property (2000 feet) can minimize exposure. |
| Water Quality | ||
| Presence of vulnerable populations | 2 | Drinking water sources (well water) disproportionately contaminated near UNGDP facilities |
| Duration of Exposure | 3 | Exposure to contaminated water will exceed 1 year |
| Frequency of exposure | 2 | Exposure will be frequent |
| Likelihood of health effects | 1 | Despite presence of exposure, evidence regarding adverse health outcomes could not be determined because of insufficient data. |
| Magnitude/severity of health effects | 1 | Despite evidence of exposure, evidence regarding adverse health outcomes could not be determined because of insufficient data. |
| Geographic extent | 2 | Exposure can be widespread if the drinking water aquifer is contaminated |
| Effectiveness of setback | 2 | Setback will not mitigate exposure |
| Health Care Infrastructure | ||
| Presence of vulnerable populations | 2 | Healthcare infrastructure disproportionately impacts those who are more likely to use healthcare services such as the elderly, the disabled, and children |
| Duration of Exposure | 3 | Exposure (the influx of UNGDP workers) will last for more than 1 year |
| Frequency of exposure | 2 | UNGDP worker health care utilization rates over the length of a UNGDP cycle will be constant |
| Likelihood of health effects | 2 | Stress on healthcare infrastructure will preclude individuals from receiving timely treatment |
| Magnitude/severity of health effects | 2 | Health infrastructure effects are noticeable but with proper management and resources, can be reversible |
| Geographic extent | 2 | Entire community is at risk |
| Effectiveness of setback | 2 | Adequate setbacks will not mitigate issues related to healthcare infrastructure |