دورية أكاديمية
Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data ; Science of the Total Environment
| العنوان: | Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data ; Science of the Total Environment |
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| المؤلفون: | Lu, Tianjun, Lansing, Jennifer, Zhang, Wenwen, Bechle, Matthew J., Hankey, Steven C. |
| سنة النشر: | 2019 |
| المجموعة: | VTechWorks (VirginiaTech) |
| مصطلحات موضوعية: | Hazardous air pollutants, Volunteer-based monitoring, Local emissions, Exposure assessment |
| الوصف: | Land Use Regression (LUR) models of Volatile Organic Compounds (VOC) normally focus on land use (e.g., industrial area) or transportation facilities (e.g., roadway); here, we incorporate area sources (e.g., gas stations) from city permitting data and Google Point of Interest (POI) data to compare model performance. We used measurements from 50 community-based sampling locations (2013-2015) in Minneapolis, MN, USA to develop LUR models for 60 VOCs. We used three sets of independent variables: (1) base-case models with land use and transportation variables, (2) models that add area source variables from local business permit data, and (3) models that use Google POI data for area sources. The models with Google POI data performed best; for example, the total VOC (TVOC) model has better goodness-of-fit (adj-R-2: 0.56; Root Mean Square Error [RMSE]: 032 mu g/m(3)) as compared to the permit data model (0.42; 037) and the base-case model (0.26; 0.41). Area source variables were selected in over two thirds of models among the 60 VOCs at small-scale buffer sizes (e.g., 25 m-500 m). Our work suggests that VOC LUR models can be developed using community-based sampling and that models improve by including area sources as measured by business permit and Google POI data. (C) 2019 The Authors. Published by Elsevier B.V. ; U.S. Environmental Protection Agency [R835873]; Minneapolis Health Department ; This publication was developed as part of the Center for Air, Climate, and Energy Solutions (CACES), which was supported under Assistance Agreement No. R835873 awarded by the U.S. Environmental Protection Agency. It has not been formally reviewed by EPA. The views expressed in this document are solely those of authors and do not necessarily reflect those of the Agency. EPA does not endorse any products or commercial services mentioned in this publication. The authors acknowledge Patrick Hanlon for providing the VOC sampling data and funding from Minneapolis Health Department. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0048-9697 1879-1026 |
| العلاقة: | http://hdl.handle.net/10919/93218Test; https://doi.org/10.1016/j.scitotenv.2019.04.285Test; 677 |
| DOI: | 10.1016/j.scitotenv.2019.04.285 |
| الإتاحة: | https://doi.org/10.1016/j.scitotenv.2019.04.285Test http://hdl.handle.net/10919/93218Test |
| حقوق: | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.9A6359F6 |
| قاعدة البيانات: | BASE |
| تدمد: | 00489697 18791026 |
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| DOI: | 10.1016/j.scitotenv.2019.04.285 |