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Data for On-Road Tailpipe Characterization of Exhaust Ammonia Emissions from in-use Light-Duty Gasoline Motor Vehicles
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|Created:||Feb 21, 2022 at 5:11 p.m.|
|Last updated:|| May 11, 2022 at 3:26 p.m.
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Ammonia exhaust tailpipe mixing ratios (ppm) from 47 light-duty gasoline motor vehicles were quantified using a portable ECM miniPEMS over on-road Real Driving Emissions (RDE) tests. The ECM miniPEMS was also used to retrieve various parameters data from the vehicle’s OBDII port such as vehicle speed, the revolution per minute (RPM) readings, engine load percentages, air-fuel ratio, and the temperature of the three-way catalyst converters. The vehicle exhaust temperature was also measured by the ECM miniPEMS using Type K thermocouples. The RDE tests were conducted on a 5.3-mile predefined urban testing route designed using the local road network in the City of Logan, Utah. The urban testing route included residential and highway roads, uphill and downhill road segments, stop signs, traffic lights, and a school zone with a reduced speed limit. The test cycle was coded as UWRL-UDTC (The Utah Water Research Laboratory Urban Driving Test Cycle). The portable Applus Autologic 5-Gas Portable Vehicle Gas Analyzer (model 310-0220) was also used to measure tailpipe mixing ratios (ppm) of post-catalyst carbon monoxide. Both instruments were carried onboard the tested vehicles during the test, while their sensors were mounted in the tested vehicle’s engine exhaust. The vehicle test sample of 47 light-duty gasoline motor vehicles was chosen to represent the same tier-level distribution as the on-road gasoline vehicle fleet along the Wasatch Front and the Cache County located in the U.S. State of Utah. Vehicle specifications including type, make, model, model year, mileage reading, engine displacement, number of cylinders, gross vehicle weight rating (GVWR), and tailpipe diameter were also collected for all tested vehicles. Atmospheric temperature and pressure at the time of testing were also measured. All the data collected throughout the project are included in the "Content" section of this resource. The "Content" section also includes an R Jupyter notebook used to analyze collected data. The mixing ratios of exhaust gases were first converted into emission rates (mg per mile), then, many descriptive and inferential statistical analyses and correlation analyses were performed. Many plots were also generated using the R script included in the Jupyter notebook. The main outcomes of this study can be found in the article included in the "Related Resources" section of this resource.
############################## ### Motasem S Abualqumboz ### Utah State University ### email@example.com, Motasem.firstname.lastname@example.org ############################# A. Files and directories: ------------------------------ This resource has five files and one directory: 1. ExhaustEmissions.csv This file contains the exhaust emissions from the 49 light-duty gasoline vehicles measured during the real driving emissions test. The file also includes other information such as exhaust temperature, engine speed (RPM), vehicle speed and acceleration, and other variables. The data will be read by the Jupyter notebook (ArticleCode.ipynb). 2. AtmPressureTemp.csv This CSV file contains the atmospheric pressure (mmHg) and temperature (F) at the time of testing for each vehicle. The file contains 49 rows of data, each row corresponds to one of the real driving emission tests. (e.g. The first row data belong to the real driving emission test of the first vehicle). The data will be read by the Jupyter notebook (ArticleCode.ipynb). 3. VehiclesCharacteristics.csv This file contains the main characteristics of the vehicles tested in this study. 4. ArticleCode.ipynb Jupyter notebook. This notebook has the code that analyzes the data stored in the Data.xlsx file and produces all the plots included in the article listed under the "Related Resources" section in the HydroShare resource. 5. A README file. 6. ProjectPictures This directory includes pictures taken during the on-road real driving emission tests. B. Instructions for using the data: ------------------------------ You may choose any file and then click on the download button, or simply double-click on the file to download it. If decided to run the Jupyter notebook in a different computational environment (outside the resource), make sure to have the Data.csv within the same directory unless you know how to write the code needed to locate the Data.csv file. To run the ArticleCode.ipynb Jupyter notebook from the same resource, you may do the following: 1. Click the "open with" located in the top right corner of this resource. 2. Chose the CUAHSI JupyterHub 3. Choose R – v3.6.1, or any later version of R 4. You will be taken to another window (JupyterHub.cuahsi.org) where the three CSV files, the ArticleCode.ipynb notebook, and this README file will be located to the left. You got a copy of the resource for your use. 5. You may explore the content of the CSV files by double click on them. 6. Double click on the ArticleCode.ipynb notebook where the R code is written. You may run the code section by section by choosing the section and clicking on the run button (the play symbol). The sections have to be run in order (Always start from the top). Alternatively, you may click on the "Kernel ---> "Restart Kernel and Run All Cells" or (Run --> Run All Cells) to run the whole notebook.
|This resource is referenced by||Abualqumboz, Motasem S., Randal S. Martin, and Joe Thomas. "On-road tailpipe characterization of exhaust ammonia emissions from in-use light-duty gasoline motor vehicles." Atmospheric Pollution Research (2022): 101449. https://doi.org/10.1016/j.apr.2022.101449|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Utah Department of Environmental Quality- Division of Air Quality||Ammonia Emission Assessment from Diesel and Gasoline Engines under Utah Specific Conditions||190656|
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