Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses.
about
Air pollution, epigenetics, and asthmaAssessing the distribution of volatile organic compounds using land use regression in Sarnia, "Chemical Valley", Ontario, CanadaComputation of geographic variables for air pollution prediction models in South KoreaUse of mobile and passive badge air monitoring data for NOX and ozone air pollution spatial exposure prediction models.Comparison of regression models with land-use and emissions data to predict the spatial distribution of traffic-related air pollution in Rome.Cardiovascular disease and air pollutants: evaluating and improving epidemiological data implicating traffic exposure.Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads.Environmental public health tracking of childhood asthma using California health interview survey, traffic, and outdoor air pollution data.Saturation sampling for spatial variation in multiple air pollutants across an inversion-prone metropolitan area of complex terrain.Childhood incident asthma and traffic-related air pollution at home and school.Nitrogen dioxide concentrations in neighborhoods adjacent to a commercial airport: a land use regression modeling study.Traffic, susceptibility, and childhood asthmaDevelopment of temporally refined land-use regression models predicting daily household-level air pollution in a panel study of lung function among asthmatic children.The air quality impacts of road closures associated with the 2004 Democratic National Convention in BostonA comparison of different approaches to estimate small-scale spatial variation in outdoor NO₂ concentrations.Urban land-use and respiratory symptoms in infants.Traffic-related air toxics and preterm birth: a population-based case-control study in Los Angeles County, California.A comparison of proximity and land use regression traffic exposure models and wheezing in infants.Establishing integrated rural-urban cohorts to assess air pollution-related health effects in pregnant women, children and adults in Southern India: an overview of objectives, design and methods in the Tamil Nadu Air Pollution and Health Effects (TAError and bias in determining exposure potential of children at school locations using proximity-based GIS techniques.Effect of Electrode Configuration on Nitric Oxide Gas Sensor Behavior.Air pollution and allergic diseases.A review of land-use regression models for characterizing intraurban air pollution exposureIncorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic statesPredicting traffic-related air pollution in Los Angeles using a distance decay regression selection strategy.Spatial variation in inversion-focused vs 24-h integrated samples of PM2.5 and black carbon across Pittsburgh, PA.ESTIMATING DAILY NITROGEN DIOXIDE LEVEL: EXPLORING TRAFFIC EFFECTS.Emergency hospital admissions for cardiovascular diseases and ambient levels of carbon monoxide: results for 126 United States urban counties, 1999-2005.Assessing the Potential of Land Use Modification to Mitigate Ambient NO₂ and Its Consequences for Respiratory Health.Spatial analysis and land use regression of VOCs and NO2 in Dallas, Texas during two seasons.An empirical model for estimating census unit population exposure in areas lacking air quality monitoring.Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide.A participant-based approach to indoor/outdoor air monitoring in community health studies.Monitoring intraurban spatial patterns of multiple combustion air pollutants in New York City: design and implementation.Exposure information in environmental health research: current opportunities and future directions for particulate matter, ozone, and toxic air pollutants.Combining a road pollution dispersion model with GIS to determine carbon monoxide concentration in Tennessee.Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches.Field comparison of passive air samplers with reference monitors for ambient volatile organic compounds and nitrogen dioxide under week-long integrals.Human Exposure Assessment for Air Pollution.Spatial modeling for air pollution monitoring network design: example of residential woodsmoke.
P2860
Q28072114-E2F4EAF0-12FA-413B-89BE-8FD82933D175Q28388567-2CFE3CA7-A28C-490C-9338-022A468C3E0AQ28607021-16C0C915-3C3B-44E8-88E0-B1183D59F5EEQ31061819-60CD8FBD-FFCA-409C-9269-3C0D808B99F8Q31108931-32967B27-A932-43F2-9E98-D1C82881234BQ31130587-197C7511-9E9F-4D32-8217-9943BE44ADDFQ33279180-A72E4DA4-8354-4B74-95DF-54647F61668CQ33369864-52A0C3E6-A27E-427B-BD13-8ABCFEC41A16Q33612610-EFEBD062-9201-4D28-BDF5-E0EC76C98BE4Q34063026-A79DC419-AF46-45B3-A889-FE276FFA9FFEQ34375452-0C25368B-44B5-4A8C-A2E4-377444A87B68Q34603218-FC9071C4-A51D-4D36-B343-EB762C43A496Q34637196-CCC83D90-6E68-4ED7-A34B-CEB797484171Q34695656-5282B0F2-384F-4614-B475-0F20FCF32F82Q34980987-298F74F4-C42E-4551-97B2-4BD2CB984F08Q35042848-C98352B5-CAE8-4BDC-8DF1-1FF9C0B3E06CQ35478077-4795A069-5D19-4618-919E-0C463A7EF885Q35672241-428E6542-1751-4176-A5F8-8D50E7C319B1Q35739958-11DABEFC-1AF4-43FB-9795-E39B6273B898Q35971824-15B971BC-D934-49AB-AAB4-50DFD361F016Q36176042-1C087DB3-99D0-47CF-9545-0575C8F26F6FQ36335420-04547A50-CEF3-4404-B774-88174A506963Q36445526-9B851EEC-A6EA-4117-95FA-5A07E07B0023Q36658788-0E5D2E93-01E7-4295-96DF-CD4974BEC2ABQ36851459-B40861DB-529B-490D-A9A7-50A3EFBBFD60Q37019063-C4546606-8CAC-43A5-8116-625B586C7766Q37375906-738CAD69-429B-474D-81EA-00CE1B83736DQ37421877-E5B23D29-227A-422D-A623-22286DEC7CB4Q38683274-554B51DF-785E-41C8-B314-ED9C248D4553Q39782302-3D2ABE5D-9A0B-4FC6-8F05-703CDEC3A027Q39806740-2443F395-FD08-4373-8B58-440BCC30B2E4Q39842475-9E117B5D-675D-43E3-BA60-944DFB6144D4Q40072961-F672C7FB-CAA2-405D-9BFF-ADD4B837BD14Q40085970-CA903AC7-2F40-4CD1-A5D9-17E7FDC86B6DQ40107026-0DDC02A5-0F81-4891-AE32-6D58A0D982DEQ44495797-49E76C76-C72F-4FB2-BBE5-85A0C1604331Q45945365-D0A7763B-3742-42D3-B5DC-0F29EBC2CF7FQ46167430-B923D6A1-E92F-453A-BF70-46A0C3BD3964Q49605914-F81BE393-9122-401F-886A-A29655DE8AB4Q51906462-F7D06C8A-C8E8-4AE8-8223-273B620B73C8
P2860
Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Nitrogen dioxide prediction in ...... environmental health analyses.
@en
Nitrogen dioxide prediction in ...... environmental health analyses.
@nl
type
label
Nitrogen dioxide prediction in ...... environmental health analyses.
@en
Nitrogen dioxide prediction in ...... environmental health analyses.
@nl
prefLabel
Nitrogen dioxide prediction in ...... environmental health analyses.
@en
Nitrogen dioxide prediction in ...... environmental health analyses.
@nl
P2093
P2860
P356
P1476
Nitrogen dioxide prediction in ...... environmental health analyses.
@en
P2093
Michael Jerrett
Paul B English
Rusty Scalf
Steve Wall
Svetlana Smorodinsky
P2860
P2888
P304
P356
10.1038/SJ.JEA.7500442
P577
2006-03-01T00:00:00Z