PPT-Uncertainty Analysis in Emission Inventories

Africa Regional Workshop on the Building of Sustainable National Greenhouse Gas Inventory Management Systems and the use of the 2006 IPCC Guidelines for National Greenhouse Gas Inventories Swakopmund. Jake Blanchard. Spring 2010. Uncertainty Analysis for Engineers. 1. Introduction. We’ve discussed single-variable probability distributions. This lets us represent uncertain inputs. But what of variables that depend on these inputs? How do we represent their uncertainty?. Jake Blanchard. Spring 2010. Uncertainty Analysis for Engineers. 1. Introduction. Statistical inference=process of drawing conclusions from random data. Conclusions of this process are “propositions,” for example. Readings. Readings. Baye. 6. th. edition or 7. th. edition, Chapter 3. BA 445 Lesson A.4 Uncertainty. Overview. Overview. Overview. BA 445 Lesson A.4 Uncertainty. Expected Value . distinguishes good decisions from good luck. Gambling with positive expected value virtually guarantees . Jake Blanchard. Spring 2008. Uncertainty Analysis for Engineers. 1. Summarizing and Interpreting Data. It is useful to have some metrics for summarizing statistical data (both input and output). 3 key characteristics are . Jake Blanchard. Fall 2010. Uncertainty Analysis for Engineers. 1. Instructor. Jake Blanchard. Engineering Physics. 143 Engineering Research Building. blanchard@engr.wisc.edu. Uncertainty Analysis for Engineers. Jake Blanchard. Spring 2010. Uncertainty Analysis for Engineers. 1. Introduction. Interpretations of Probability. Classical – If an event can occur in N equally likely and different ways, and if n of these have an attribute A, then the probability of the occurrence of A, denoted Pr(A), is defined as n/N. Justin Goodwin: . ETC-ACC Supported by EEA. TFEIP Meeting Stockholm 3th May 2011. GMES services and emission inventories. GMES (Global Monitoring for Environment and Security) . European Earth Observation Program for the implementation of information services set up to support EU environmental policy and security. . Zhijiong. Dennis . Huang. a. , . Junyu. Allen . Zheng. a. , . Yongtao. Hu. b. a. Institute. for Environmental and Climate Research, Jinan University. b. School. of Civil and Environmental Engineering, Georgia Institute of Technology. October 24, 2018. Presented by: Jeff . Vukovich. A. . Eyth. , B. Henderson, C. Jang (US EPA OAQPS). C. Allen, J. . Beidler. , K. . Talgo. (CSRA-GDIT). Goal: Support a northern hemispheric CMAQ run for year 2016 using the latest available emissions data to better understand hemispheric transport of biogenic and anthropogenic pollutants. Overview Introduction Net AEP of wind farm clusters (WP3.1) Uncertainty analysis (WP3.2) Work plan Objective: Provide an accurate value of the expected net energy yield from the cluster of wind farms as well as the uncertainty ranges : . Case Study of. . Residential Wood Combustion . Rabab . Mashayekhi, . Shunliu. . Zhao, . Sahar . Saeednooran. , . Amir . Hakami. Department of Civil and Environmental Engineering, Carleton University, . Dr. Bernard Hyde, EPA. Climate Change and Environmental Research Programme. Agricultural Statistics Liaison Group. Thursday 18. th. November 2010. CSO, . Ardee. Road, . Rathmines. , . Dublin 6. Environmental Protection Agency. Assurance/ Quality . Control. Sabino Del Vento – Ricardo . 22/09/2024. 24.09.2024. 2. Are you familiar with the concept of QA/QC?. What do you think QA/QC is?. Do you have a QA/QC plan in place? . 24.09.2024. . ignorance. in . technological. design. Introduction. . to. . Innovation. Sebastiaan van Delft. Why. is . this. important?. Faced. . with. risk-analysis . with. . every. (new) . technology.