[논문]A new method for assessing the efficacy of emission control strategies

Luo, Huiying; Astitha, Marina; Hogrefe, Christian; Mathur, Rohit; Rao, S. Trivikrama

doi:10.1016/j.atmosenv.2018.11.010

A new method for assessing the efficacy of emission control strategies 원문보기

Atmospheric environment, v.199, 2019년, pp.233 - 243

Luo, Huiying (University of Connecticut, Department of Civil and Environmental Engineering) , Astitha, Marina (University of Connecticut, Department of Civil and Environmental Engineering) , Hogrefe, Christian (U.S. Environmental Protection Agency, Research Triangle Park) , Mathur, Rohit (U.S. Environmental Protection Agency, Research Triangle Park) , Rao, S. Trivikrama (University of Connecticut, Department of Civil and Environmental Engineering)

Abstract ▼ AI-Helper

Abstract Regional-scale air quality models and observations at routine air quality monitoring sites are used to determine attainment/non-attainment of the ozone air quality standard in the United States. In current regulatory applications, a regional-scale air quality model is applied for a base year and a future year with reduced emissions using the same meteorological conditions as those in the base year. Because of the stochastic nature of the atmosphere, the same meteorological conditions would not prevail in the future year. Therefore, we use multi-decadal observations to develop a new method for estimating the confidence bounds for the future ozone design value (based on the 4th highest value in the daily maximum 8-hr ozone concentration time series, DM8HR) for each emission loading scenario along with the probability of the design value exceeding a given ozone threshold concentration at all monitoring sites in the contiguous United States. To this end, we spectrally decompose the observed DM8HR ozone time series covering the period from 1981 to 2014 using the Kolmogorov-Zurbenko (KZ) filter and examine the variability in the relative strengths of the short-term variations (induced by synoptic-scale weather fluctuations; referred to as synoptic component, SY) and the long-term component (dictated by changes in emissions, seasonality and other slow-changing processes such as climate change; referred to as baseline component, BL). Results indicate that combining the projected change in the ozone baseline level with the adjusted synoptic forcing in historical ozone observations enables us to provide a probabilistic assessment of the efficacy of a selected emissions control strategy in complying with the ozone standard in future years. In addition, attainment demonstration is illustrated with a real-world application of the proposed methodology by using air quality model simulations, thereby helping build confidence in the use of regional-scale air quality models for supporting regulatory policies. Highlights Observation-based method for estimating confidence bounds for ozone design values. Determining the probability of ozone compliance for each emission control strategy. Validation of the proposed method using ozone observations over three decades. Ozone attainment demonstration of an emissions reduction case with the CMAQ model. Building confidence in the use of regional air quality models for policy decisions.

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참고문헌 (44)

Atmos. Environ. Astitha 164 102 2017 10.1016/j.atmosenv.2017.05.020 Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States

상세보기
Atmos. Environ. Chock 18 2461 1984 10.1016/0004-6981(84)90016-7 Statistics of extreme values of a first-order Markov normal process: an exact result

상세보기
David 8 1981 Order Statistics
J. Air Waste Manag. Assoc. Emery 67 582 2017 10.1080/10962247.2016.1265027 Recommendations on statistics and benchmarks to assess photochemical model performance

상세보기
Bull. Am. Meteorol. Soc. Eskridge 78 1473 1997 10.1175/1520-0477(1997)078<1473:SDSOMI>2.0.CO;2 Separating different scales of motion in time series of meteorological variables

상세보기
Atmos. Chem. Phys. Galmarini 13 7153 2013 10.5194/acp-13-7153-2013 E pluribus unum*: ensemble air quality predictions

상세보기
Atmos. Chem. Phys. Galmarini 17 1543 2017 10.5194/acp-17-1543-2017 Technical note: Coordination and harmonization of the multi-scale, multi-model activities HTAP2, AQMEII3, and MICS-Asia3: simulations, emssion inventories, boundary conditions, and model output formats

상세보기
Atmos. Environ. Gardner 34 171 2000 10.1016/S1352-2310(99)00315-5 Meteorologically adjusted trends in UK daily maximum surface ozone concentrations

상세보기
J. Geophys. Res. Atmospheres Gilliam 120 12 2015 Impact of inherent meteorology uncertainty on air quality model predictions
Gumbel 75 1958 Statistics of Extremes Statistics of extremes
Atmos. Chem. Phys. Guo 18 16 12123 2018 10.5194/acp-18-12123-2018 Average versus high surface ozone levels over the continental USA: model bias, background influences, and interannual variability

상세보기
Atmos. Environ. Henneman 166 551 2017 10.1016/j.atmosenv.2017.07.049 Air quality modeling for accountability research: operational, dynamic, and diagnostic evaluation

상세보기
Atmos. Chem. Phys. Hogrefe 18 3839 2018 10.5194/acp-18-3839-2018 Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States

상세보기
J. Air Waste Manag. Assoc. Hogrefe 51 1060 2001 10.1080/10473289.2001.10464332 Demonstrating attainment of the air quality standards: integration of observations and model predictions into the probabilistic framework

상세보기
Atmos. Environ. Hogrefe 35 24 4175 2001 10.1016/S1352-2310(01)00183-2 Evaluating the performance of regional-scale photochemical modeling systems: Part II-ozone predictions

상세보기
Bull. Am. Meteorol. Soc. Hogrefe 81 2083 2000 10.1175/1520-0477(2000)081<2083:ITIIOO>2.3.CO;2 Interpreting the information in ozone observations and model predictions relevant to regulatory policies in the eastern United States

상세보기
J. Air Waste Manag. Assoc. Hogrefe 64 388 2014 10.1080/10962247.2013.811127 Space-time analysis of the air quality model evaluation international initiative (AQMEII) phase 1 air quality simulations

상세보기
Atmos. Environ. Hogrefe 37 313 2003 10.1016/S1352-2310(02)00897-X A comparison of four techniques for separating different time scales in atmospheric variables

상세보기
Atmos. Environ. Ibarra-Berastegi 35 5581 2001 10.1016/S1352-2310(01)00210-2 Long-term changes of ozone and traffic in Bilbao

상세보기
Atmos. Environ. Kang 80 58 2013 10.1016/j.atmosenv.2013.04.046 Application of the Kolmogorov-Zurbenko filter and the decoupled direct 3D method for the dynamic evaluation of a regional air quality model

상세보기
J. Air Waste Manag. Assoc. Maxwell-Meier 55 1498 2005 10.1080/10473289.2005.10464750 Comparison of ozone temporal scales for large urban, small urban, and rural areas in Georgia

상세보기
J. Air Waste Manag. Assoc. Milanchus 48 201 1998 10.1080/10473289.1998.10463673 Evaluating the effectiveness of ozone management efforts in the presence of meteorological variability

상세보기
Environ. Times Phalitnonkiat 128 134 2016 Extreme ozone events: tail behavior of the surface ozone distribution over the U.S. Atmos
Environ. Sci. Technol. Pinder 43 7 2388 2009 10.1021/es8025402 Efficient probabilistic estimates of surface ozone concentration using an ensemble of model configurations and direct sensitivity calculations

상세보기
Atmos. Environ. Porter 112 178 2015 10.1016/j.atmosenv.2015.04.039 Methods for reducing biases and errors in regional photochemical model outputs for use in emission reduction and exposure assessments

상세보기
Atmospheric Pollut. Res. Porter 8 275 2017 10.1016/j.apr.2016.09.005 A reduced form model for ozone based on two decades of CMAQ simulations for the continental United States

상세보기
Environ. Manage. Nov Rao 42 2011 Understanding the spatio-temporal variability in air pollution concentrations
Atmos. Environ. Rao 19 1503 1985 10.1016/0004-6981(85)90288-4 Resampling and extreme value statistics in air quality model performance evaluation

상세보기
Air Waste Rao 44 1089 1994 10.1080/10473289.1994.10467303 Detecting and tracking changes in ozone air quality

상세보기
Bull. Am. Meteorol. Soc. Rao 78 2153 1997 10.1175/1520-0477(1997)078<2153:SATSIA>2.0.CO;2 Space and time scales in ambient ozone data

상세보기
Environ. Manage. Jan Rao 17 1996 Dealing with the ozone non-attainment problem in the Eastern United States
J. Air Waste Manag. Assoc. Rao 45 57 1995 10.1080/10473289.1995.10467342 Determining temporal and spatial variations in ozone air quality

상세보기
J. Air Pollut. Contr. Assoc. Roberts 29 632 1979 10.1080/00022470.1979.10470835 Review of statistics of extreme values with applications to air quality data Part I. Review
Atmospheric Pollut. Res. Sa 6 979 2015 10.1016/j.apr.2015.05.003 Meteorological driven changes on air quality over Portugal: a KZ filter application

상세보기
Atmos. Environ., AQMEII: Int. Initiative Evaluation of Regional-Scale Air Quality Models - Phase 1 Schere 53 38 2012 10.1016/j.atmosenv.2011.09.043 Trace gas/aerosol boundary concentrations and their impacts on continental-scale AQMEII modeling domains

상세보기
Atmos. Chem. Phys. Solazzo 17 3001 2017 10.5194/acp-17-3001-2017 Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown

상세보기
Atmos Chem Phys. Katlenburg-Lindau Solazzo 17 10435 2017 10.5194/acp-17-10435-2017 Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework

상세보기
U.S. EPA 2014 Modeling Guidance for Demonstrating Attainment of Air Quality Goals for Ozone, PM2.5, and Regional Haze
Atmos. Environ. Vukovich 37 971 2003 10.1016/S1352-2310(02)00994-9 An examination of the relationship between certain meteorological parameters and surface ozone variations in the Baltimore-Washington corridor

상세보기
J. Air Waste Manag. Assoc. Wise 55 1208 2005 10.1080/10473289.2005.10464718 Extending the Kolmogorov-Zurbenko filter: application to ozone, particulate matter, and meteorological trends

상세보기
Atmos. Environ. Wise 39 2969 2005 10.1016/j.atmosenv.2005.01.024 Meteorologically adjusted urban air quality trends in the Southwestern United States

상세보기
Wiley Interdiscip. Rev. Comput. Stat. Yang 2 340 2010 10.1002/wics.71 Kolmogorov-Zurbenko filters

상세보기
Aerosol Air Qual. Res. Zhang 18 711 2018 10.4209/aaqr.2017.01.0011 Significant decrease of PM2.5 in Beijing based on long-term 2 records and Kolmogorov-Zurbenko filter approach

상세보기
Wiley Interdiscip. Rev. Comput. Stat. Zurbenko 10 e1419 2018 10.1002/wics.1419 Kolmogorov-Zurbenko filters in spatiotemporal analysis

상세보기

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A new method for assessing the efficacy of emission control strategies 원문보기

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