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LOCAL IMPACTS OF MERCURY EMISSIONS FROM COAL FIRED POWER PLANTS.
doi: 10.2172/15016374
Mercury emissions from coal fired plants will be limited by regulations enforced by the Environmental Protection Agency. However, there is still debate over whether the limits should be on a plant specific basis or a nationwide basis. The nationwide basis allows a Cap and Trade program similar to that for other air pollutants. Therefore, a major issue is the magnitude and extent of local deposition. Computer modeling suggests that increased local deposition will occur on a local (2 to 10 Km) to regional scale (20 to 50 Km) with the increase being a small percentage of background deposition on the regional scale. The amount of deposition depends upon many factors including emission rate, chemical form of mercury emitted (with reactive gaseous mercury depositing more readily than elemental mercury), other emission characteristics (stack height, exhaust temperature, etc), and meteorological conditions. Modeling suggests that wet deposition will lead to the highest deposition rates and that these will occur locally. Dry deposition is also predicted to deposit approximately the same amount of mass as wet deposition, but over a much greater area. Therefore, dry deposition rates will contribute a fraction of total deposition on the regional scale. The models have a number ofmore » assumptions pertaining to deposition parameters and there is uncertainty in the predicted deposition rates. A key assumption in the models is that the mixture of reactive gaseous mercury (RGM) to elemental mercury Hg(0) is constant in the exhaust plume. Recent work suggests that RGM converts to Hg(0) quickly. Deposition measurements around coal-fired power plants would help reduce the uncertainties in the models. A few studies have been performed to examine the deposition of mercury around point sources. Measurement of soil mercury downwind from chlor-alkali plants has shown increased deposition within a few Km. Studies of soils, sediments, and wet deposition around coal plants typically find some evidence of enhanced deposition; however, the statistical significance of the results is generally weak. A review of these studies is found in Lipfert. This study combines modeling of mercury deposition patterns with soil mercury measurements. The model used emissions data, meteorological conditions, and plant data to define sample locations likely to exhibit deposition in excess of background, that can be attributed to the power plant. Data were collected at the specified locations in November, 2003.« less
- New York City College of Technology United States
- City University of New York United States
- Brookhaven National Laboratory United States
- Brookhaven National Laboratory United States
- New York City College of Technology United States
Transformations, Pollutants, And Peat, Cows, Water Chemistry, Point Sources, Sediments, Food Chains, Us Epa, Lignite, Sampling, Deposition, Washout, Regulations, Computers, Mercury, Plants, Hypothesis, 01 Coal, Coal, Atmospheric Chemistry, Mixtures, Soils, Public Health, Hot Spots, Simulation, Power Plants
Transformations, Pollutants, And Peat, Cows, Water Chemistry, Point Sources, Sediments, Food Chains, Us Epa, Lignite, Sampling, Deposition, Washout, Regulations, Computers, Mercury, Plants, Hypothesis, 01 Coal, Coal, Atmospheric Chemistry, Mixtures, Soils, Public Health, Hot Spots, Simulation, Power Plants
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
