Download presentation
Presentation is loading. Please wait.
1
Elements of EI Data Management
Melinda Ronca-Battista ITEP/TAMS Center 1
2
Homework Discussion Are there any questions on the unit conversion exercise? Does anyone have an experience with unit conversions that they would like to share?
3
Data management is keeping track of information used to estimate emissions
4
The “answer” you get from an EI is...
Sources of air pollution Amount of air pollution from each source
5
The “answer” you get... (cont.)
Example Residential woodstoves is a source of emissions 10 tons per year of CO 50 tons per year of PM10 …and so on for other criteria pollutants
6
Data Management Data management is describing how you got those numbers “Road map” to how you got answer
7
Data Management – How? Keep information in notes
Include information in EI report Store in spreadsheet or database
8
Calculators: Printing Blank Forms
Keep paper data collection forms on file!!
9
Data Management – Why? Proves quality of your emission estimates
Helps when updating EI Don’t have to redo/refigure everything
10
You start with... Amount of wood burned for residential heating (i.e., number of cords) Types of stoves people are using Emission factors Equation that puts all these numbers together to calculate your emissions estimate What do we need to estimate emissions from woodstoves data: how much wood what type of wood what type of stoves Tools emission factors equations to put it all together
11
Data Management: Records
How did you estimate # cords burned for residential heating? Guessed based on personal knowledge of your reservation Used population and estimate of percent of homes burning wood Did survey to count woodstove types and amount of wood burned Data Quality Least reliable Most reliable If you come back to this EI in a few years, or if someone else does it, you’ll want to know information like “how did I estimate how much wood was burned?”. This also gives a good idea as to the data quality
12
Data Management: Records (cont.)
Example formula E = EF x (W x H x % x D) E = emission rate EF = emission factor for given pollutant W = volume of wood burned annually for one home H = number of tribe households % = percent houses heating with wood D = Dry density of wood
13
Data Management: Records (cont.)
For each variable, identify source EFs from EPA AP-42, fifth edition W from tribal housing office estimate H and % from tribal housing office D from EPA AP-42, Fifth edition
14
Data Management Report Example
Read the DataManagementReportEx document This document shows an example of how to present data in an EI report
15
Data Management Spreadsheet Example
Onscreen demonstration of the spreadsheet associated with the report example
16
Crucial Data Collect the mandatory data elements, at a minimum, for every source you inventory Having these data allows your tribal sources to be included in National Emission Inventory (NEI) Regional air quality modeling Market trading negotiations
17
Data from Point Sources
Record the following information AT MINIMUM Name of facility North American Industry Classification System code (NAICS code) Complete street address Lat/long or UTM coordinates (with datum) Start and end date of emission process
18
Data from Point Sources (cont.)
Source Classification Code (SCC) Estimated emission for each inventoried pollutant Period of emission estimate (annual, weekly, daily, etc.) Specify units of emission estimate (tons/year, lbs/month, etc.)
19
Point Source – Process Level
Best if broken down to process level Example Site: ABC Gravel Company Units: Screening operation, excavating operation Processes: Loading, screening, output Release points: stacks, vents, fugitive Control devices and their efficiency
20
Processes Example: Sand and Gravel Pit
Excavating Operation Screening Operation Loading Screening Output Release Points Control Devices Release Points Control Devices Release Points Control Devices
21
Nonpoint and Mobile Sources
Record the following information AT MINIMUM SCC Period of emission estimate (for example, annual) Estimated emission for each inventoried pollutant Specify units of emission estimate (tons/year, lbs/month, etc.)
22
Data Management Summary
Describe WHAT you are calculating HOW you calculated emissions estimate WHERE you got data WHEN you collected data WHO you got your data from Include mandatory data for NEI
23
TEISS QA/QC Tools Place to document data sources
Can automatically list frequently entered names Documents QA checks
24
QA/QC Report
25
Homework due in 5 days: Make a list of the nonpoint sources on the reservation that you are going to include in your EI Review Section 8.0 of the ITEP Tribal EI QAPP template Use the TEISS calculators to write out the estimation methods and data you need to collect for the nonpoint sources, similar to Table 6 in the QAPP template your work to the instructors
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.