2014
DOI: 10.32964/tj13.2.9
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Trends in pulp and paper mill emissions of SO2 and NOx, 1980-2010

Abstract: Sulfur dioxide (SO2) and oxides of nitrogen (NOx) emissions from U.S. pulp and paper mills have been estimated from industry-wide surveys conducted every five years, beginning in 1980 and continuing through 2010. Between 1980 and 2010, total SO2 emissions declined by over 70%, while paper and paperboard production rose 35%. NOx emissions peaked in 1995, but fell by almost 40% over the next 15 years. Paper and paperboard production only declined 7% over the same period. These downward emission trends resulted f… Show more

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“…Decreasing the discharge of these two air pollutants has an important significance for a cleaner atmosphere and environment and improved public (Xie et al 2004;Blanchard et al 2005;Muller et al 2009;de Gouw et al 2014). In fact, scientists have analyzed their trends and source characteristics, expecting to discover some physical methods or policy tools to remove the pollutants (Popp 2006;Fraley et al 2006;Washenfelder et al 2010;Fang et al 2011;Hansjurgens 2011;Lu et al 2013;Pinkerton 2014;Lee and Zhou 2015;Jacimovski et al 2016). For example, Mekaroonreung and Johnson (2012) used the stochastic semi-non-parametric envelopment method to estimate the shadow prices of SO 2 and NO x generated by US coal power plants.…”
Section: Introductionmentioning
confidence: 99%
“…Decreasing the discharge of these two air pollutants has an important significance for a cleaner atmosphere and environment and improved public (Xie et al 2004;Blanchard et al 2005;Muller et al 2009;de Gouw et al 2014). In fact, scientists have analyzed their trends and source characteristics, expecting to discover some physical methods or policy tools to remove the pollutants (Popp 2006;Fraley et al 2006;Washenfelder et al 2010;Fang et al 2011;Hansjurgens 2011;Lu et al 2013;Pinkerton 2014;Lee and Zhou 2015;Jacimovski et al 2016). For example, Mekaroonreung and Johnson (2012) used the stochastic semi-non-parametric envelopment method to estimate the shadow prices of SO 2 and NO x generated by US coal power plants.…”
Section: Introductionmentioning
confidence: 99%