Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities
Spatial analysis studies have included the application of land use regression models (LURs) for health and air quality assessments. Recent LUR studies have collected nitrogen dioxide (NO2) and volatile organic compounds (VOCs) using passive samplers at urban air monitoring networks in El Paso and Da...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/865150 |
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| author | Shaibal Mukerjee Luther Smith Lucas Neas Gary Norris |
| author_facet | Shaibal Mukerjee Luther Smith Lucas Neas Gary Norris |
| author_sort | Shaibal Mukerjee |
| collection | DOAJ |
| description | Spatial analysis studies have included the application of land use regression models (LURs) for health and air quality assessments. Recent LUR studies have collected nitrogen dioxide (NO2) and volatile organic compounds (VOCs) using passive samplers at urban air monitoring networks in El Paso and Dallas, TX, Detroit, MI, and Cleveland, OH to assess spatial variability and source influences. LURs were successfully developed to estimate pollutant concentrations throughout the study areas. Comparisons of development and predictive capabilities of LURs from these four cities are presented to address this issue of uniform application of LURs across study areas. Traffic and other urban variables were important predictors in the LURs although city-specific influences (such as border crossings) were also important. In addition, transferability of variables or LURs from one city to another may be problematic due to intercity differences and data availability or comparability. Thus, developing common predictors in future LURs may be difficult. |
| format | Article |
| id | doaj-art-f250c60968af4992812177cd114c22c9 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f250c60968af4992812177cd114c22c92025-02-03T06:06:57ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/865150865150Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US CitiesShaibal Mukerjee0Luther Smith1Lucas Neas2Gary Norris3National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Mail Code E205-03, Research Triangle Park, NC 27711, USAAlion Science and Technology Inc., Durham, NC 27713, USANational Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Mail Code 58-A, Research Triangle Park, NC 27711, USANational Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Mail Code E205-03, Research Triangle Park, NC 27711, USASpatial analysis studies have included the application of land use regression models (LURs) for health and air quality assessments. Recent LUR studies have collected nitrogen dioxide (NO2) and volatile organic compounds (VOCs) using passive samplers at urban air monitoring networks in El Paso and Dallas, TX, Detroit, MI, and Cleveland, OH to assess spatial variability and source influences. LURs were successfully developed to estimate pollutant concentrations throughout the study areas. Comparisons of development and predictive capabilities of LURs from these four cities are presented to address this issue of uniform application of LURs across study areas. Traffic and other urban variables were important predictors in the LURs although city-specific influences (such as border crossings) were also important. In addition, transferability of variables or LURs from one city to another may be problematic due to intercity differences and data availability or comparability. Thus, developing common predictors in future LURs may be difficult.http://dx.doi.org/10.1100/2012/865150 |
| spellingShingle | Shaibal Mukerjee Luther Smith Lucas Neas Gary Norris Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities The Scientific World Journal |
| title | Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities |
| title_full | Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities |
| title_fullStr | Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities |
| title_full_unstemmed | Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities |
| title_short | Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities |
| title_sort | evaluation of land use regression models for nitrogen dioxide and benzene in four us cities |
| url | http://dx.doi.org/10.1100/2012/865150 |
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