Quantifying uncertainty of emission estimates in National Greenhouse Gas Inventories using bootstrap confidence intervals

Atmospheric Environment

Volumn 56, Issue , 2012, Pages 80-87

  Tong, Lee Ing ^a   Chang, Chih Wei ^a   Jin, Shin En ^a   Saminathan, R ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Bootstrap confidence intervals; Bootstrap simulation; Greenhouse gas emissions; Uncertainty

Indexed keywords

BOOTSTRAP CONFIDENCE INTERVAL; BOOTSTRAP SIMULATION; CARBON STOCKS; CONFIDENCE INTERVAL; DATA DISTRIBUTION; DATA SETS; GHG EMISSION; GREENHOUSE GAS INVENTORY; INTERVAL ESTIMATION; LOG-NORMAL; NON-NORMAL DISTRIBUTION; SAMPLE SIZES; SMALL SAMPLE SIZE; STANDARD DEVIATION; UNCERTAINTY; UNCERTAINTY ESTIMATES;

COMPUTER SIMULATION; ESTIMATION; FINANCIAL DATA PROCESSING; GAS EMISSIONS; GLOBAL WARMING; GREENHOUSE GASES; NORMAL DISTRIBUTION; STATISTICAL METHODS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; BOOTSTRAPPING; CARBON BUDGET; CONFIDENCE INTERVAL; DATA SET; EMISSION INVENTORY; ERROR CORRECTION; FEASIBILITY STUDY; GLOBAL WARMING; GREENHOUSE GAS; SAMPLING; UNCERTAINTY ANALYSIS;

AIR POLLUTANT; ARTICLE; BIOMASS; BIOMASS PRODUCTION; CARBON FOOTPRINT; CONFIDENCE INTERVAL; GREENHOUSE GAS; JAPANESE CEDAR; MATHEMATICAL MODEL; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; TAIWAN; UNCERTAINTY;

TAIWAN;

EID: 84861639739     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.03.063     Document Type: Article

References (36)

1. Chou C.-Y., Lin Y.-C., et al. On the bootstrap confidence intervals of the process incapability index Cpp. Reliability Engineering & System Safety 2006, 91(4):452-459.
2. Chu Y.K., Ke J.C. Confidence intervals of mean response time for an M/G/1 queueing system: bootstrap simulation. Applied Mathematics and Computation 2006, 180(1):255-263.
3. Efron B., Gong G. A leisurely look at the bootstrap, the Jackknife, and cross-validation. American Statistician 1983, 37:36-48.
4. Efron B., Tibshirani R. Bootstrap method for standard efforts, confidence intervals, and other measures of statistical accuracy. Statistical Science 1986, 1:54-77.
5. Efron B., Tibshirani R. An Introduction to the Bootstrap 1993, Champman & Hall, London, U.K.
6. Efron B. Bootstrap method: another look at the Jackknife. The Analysis of Statistics 1979, 7(1):1-26.
7. Efron B. The Jackknife, The Bootstrap and Other Resampling Plans 1982, Society for Industrial and Applied Mathematics CBMS-NSF Monographs 38, Philadelphia, PA USA.
8. Efron B. How biased is the apparent error rate of a prediction rule?. Journal of the American Statistical Association 1986, 81:461-470.
9. Efron B. Better bootstrap confidence intervals. Journal of the American Statistical Association 1987, 82:171-200.
10. Forestry Bureau, Council of Agriculture executive Yuan Third Survey of Forest Resources and Land Use in Taiwan 1995.
11. x and total hydrocarbon emission factors. Journal of the Air & Waste Management Association 2002, 52(4):435-448.
12. Frey H.C., Li S. Quantification of variability and uncertainty in AP-42 emission factors: case studies for natural gas-fueled engines. Journal of the Air & Waste Management Association 2003, 53(12):1436-1447.
13. Frey H.C., Rhodes D.S. Characterizing, simulating, and analyzing variability and uncertainty: an illustration of methods using an air toxics emissions example. Human and Ecological Risk Assessment 1996, 2:762-797.
14. Frey H.C., Zhao Y. Quantification of variability and uncertainty for air toxic emission inventories with censored emission factor data. Environmental Science and Technology 2004, 38(22):6094-6100.
15. x Emissions, Proceedings 2002, U.S. Environmental Protection Agency Emission Inventory Conference, Atlanta, GA.
16. Gunter B. Bootstrapping: how to make something from almost nothing and get statistically valid answers. Part I. Quality Progress 1991, 97-103.
17. Gunter B. Bootstrapping: how to make something from almost nothing and get statistically valid answers. Part III. Quality Progress 1992, 119-122.
18. Hsieh H.-C., Wang D.-H., et al. Applying FORMOSAT II Image and Field Plots Survey Data to Estimating Carbon Sequestration in Fraxinus Farm Afforestation 2010, Proceedings of the Asia GIS 2010 International Conference, Kaohsiung, Taiwan.
19. IPCC Good practice guidance and uncertainty management in National Greenhouse Gas Inventories. Intergovernmental Panel on Climate Change IPCC 2000, IPCC/OECD/IEA/IGES, Hayama, Japan. J. Penman, D. Kruger, I. Galbally, T. Hiraishi, B. Nyenzi, S. Emmanuel, L. Buendia, R. Hoppaus, T. Martinsen, J. Meijer, K. Miwa, K. Tanabe (Eds.).
20. IPCC Good practice guidance for land use, land-use change and forestry. Intergovernmental Panel on Climate Change IPCC 2003, IPCC/IGES, Hayama, Japan. J. Penman, M. Gytarsky, T. Hiraishi, T. Krug, D. Kruger, R. Pipatti, L. Buendia, K. Miwa, T. Ngara, K. Tanabe, F. Wagner (Eds.).
21. IPCC IPCC guidelines for National greenhouse gas inventories. Intergovernmental Panel on Climate Change IPCC 2006, IPCC/OECD/IEA, Hayama, Japan. H.S. Eggleston, L. Buendia, K. Miwa, T. Ngara, K. Tanabe (Eds.).
22. Ke J.-C., Chu Y.-K., et al. Comparing confidence limits for short-run process incapability index Cpp. Physica A: Statistical Mechanics and its Applications 2008, 387(13):3227-3238.
23. Kini M.D., Frey H.C. Probabilistic Evaluation of Mobile Source Air Pollution. Probabilistic Modeling of Exhaust Emission from Light Duty Gasoline Vehicles 1997, vol. 1. Prepared by North Carolina State University for Center for Transportation and the Environment, Raleigh.
24. Lin Y.J., Liu C.P., Lin J.C. Measurement of specific gravity and carbon content of important timber species in Taiwan. Taiwan Journal for Science 2002, 17(3):291-299.
25. Meeden G. Interval estimators for the population mean for skewed distributions with a small sample size. Journal of Applied Statistics 1999, 26(1):81-96.
26. Mendenhall W., Sincich T. Statistics for Engineering and the Sciences 2007, Pearson Prentice-Hall, Upper Saddle River.
27. Montgomery D.C., Runger G.C., Hubele N.F. Engineering Statistics 2011, Wiley, Hoboken, NJ.
28. Mooney C.Z., Duval R.D. Bootstrapping: A Nonparametric Approach to Statistical Inference 1993, SAGE, Newbury Park.
29. Rhodes D.S., Frey H.C. Quantification of Variability and Uncertainty in AP-42 Emission Factors Using Bootstrap Simulation Emission Inventory: Planning for the Future, Air and Waste Management Association Pittsburgh, Pennsylvania 1997, 147-161 pp.
30. Tong L.-I., Chen H.-T., et al. Constructing BCa bootstrap confidence interval for the difference between two non-normal process capability indices CNpmk. Quality Engineering 2008, 20(2):209-220.
31. Young G.A. Bootstrap: more than a stab in the dark?. Statistical Science 1994, 9:382-415.
32. Zhao Y., Frey H.C. Quantification of variability and uncertainty for censored datasets and application to air toxic emission factors. Risk Analysis 2004, 24(3):1019-1034.
33. Zhao Y., Frey H.C. Development of probabilistic emission inventory for air toxic emissions for Jacksonville, Florida. Journal of the Air & Waste Management Association 2004, 54(11):1405-1421.
34. Zhao Y., Frey H.C. Uncertainty for data with non-Detects: air toxic emissions from combustion. Human and Ecological Risk Assessment 2006, 12(6):1171-1191.
35. Zheng J., Frey H.C. Quantification of variability and uncertainty using Mixture distributions: evaluation of sample size, mixing weights and separation between components. Risk Analysis 2004, 24(3):553-571.
36. Zheng, J., 2002. Quantification of variability and uncertainty in emission estimation: general methodology and software implementation. Doctoral dissertation, North Carolina State University, USA.