A land use regression model for predicting ambient fine particulate matter across Los Angeles, CA.
about
Annual and seasonal spatial models for nitrogen oxides in Tehran, IranTemporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural Network Model and GIS.Relation of whole blood carboxyhemoglobin concentration to ambient carbon monoxide exposure estimated using regression.Impact of Land Use on PM2.5 Pollution in a Representative City of Middle ChinaSpatial modeling in environmental and public health research.Predicting regional space-time variation of PM2.5 with land-use regression model and MODIS data.Determinants of the Spatial Distributions of Elemental Carbon and Particulate Matter in Eight Southern Californian Communities.Land use regression modeling to estimate historic (1962-1991) concentrations of black smoke and sulfur dioxide for Great Britain.Spatiotemporal analysis of particulate air pollution and ischemic heart disease mortality in Beijing, ChinaAmbient carbon monoxide and fine particulate matter in relation to preeclampsia and preterm delivery in western Washington State.The Effects of Urban Form on Ambient Air Pollution and Public Health Risk: A Case Study in Raleigh, North Carolina.Principal component analysis optimization of a PM2.5 land use regression model with small monitoring network.The Spatio-Temporal Distribution of Particulate Matter during Natural Dust Episodes at an Urban Scale.Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United 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.A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology.A cohort study of traffic-related air pollution and mortality in Toronto, Ontario, CanadaAssessing the spatial distribution of nitrogen dioxide in London, Ontario.Spatial analysis and land use regression of VOCs and NO2 in Dallas, Texas during two seasons.On exposure and response relationships for health effects associated with exposure to vehicular traffic.High-resolution modeling of residential outdoor particulate levels in Sweden.Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of regression and random forest approaches.Human Exposure Assessment for Air Pollution.Long-term exposure to ambient air pollution and risk of hospitalization with community-acquired pneumonia in older adults.Mining Public Datasets for Modeling Intra-City PM Concentrations at a Fine Spatial ResolutionLand Use Regression Modelling of Outdoor NO₂ and PM Concentrations in Three Low Income Areas in the Western Cape Province, South Africa
P2860
Q28595849-5466F9DF-6C4E-4665-AED0-E590869736EFQ30387024-DDF683E1-FFBB-4F0F-9681-6D0FF785B4B2Q30494701-D5B62EDB-2225-4A48-A745-0A1FFC7FE74CQ33748479-9A82FC9A-CC87-4A53-AEAC-71A08C193DD5Q33859111-94D82955-F39F-44CB-83D1-3E8077517A48Q33941345-3F62754E-7E0E-4B6E-AA62-FB1300A77CA8Q34318086-56FCBC9B-72E3-43FC-8ED3-FAA306B61D7AQ34795746-4533092E-BF94-4F6C-8C69-6D87E07F30CFQ34941744-A2895B22-7CE8-47F9-8100-23CF888AF477Q35044796-DBA979C9-5A68-408A-9402-0B3DCAFE8021Q35706962-8A296561-1958-4C4F-BB92-726E15D8B2FDQ35907242-AEC96C7C-7CB9-450E-9B65-FAC5634B2472Q36101230-6CB6F630-EC11-449C-B018-AE0DDE569379Q36537340-78F46A0A-732D-4D35-8FF0-87AE14DEDAC0Q36851459-268393AB-AA42-4EF4-A23D-950BA5F8E63FQ37019063-45361363-FF8E-496C-875E-4D262DBEA46CQ37149554-C6E1260D-8281-407D-8F78-E6CD9C3F6F53Q37201207-287C487D-C295-441A-BD8A-152A1C0F01E8Q39508714-0478054E-D1F5-4562-8925-CADD6E27340AQ39782302-9211F3E2-8D76-4312-B7B9-8ECFD0809A40Q39837771-E05CCDDC-1335-429A-9A22-7F956ECE0DEEQ40087209-8031365E-EFCE-4EBD-8659-E082F0B66F5AQ45945365-331BDE4E-FB1C-4D00-918B-6407DB5674D8Q49605914-2AA871D6-3152-44DD-8081-4FF7BE0E6212Q51137235-10E43983-90DC-4524-B47E-9119CA91FA74Q57105538-6F4AA2A4-9D59-4106-8217-0CC985FA9CD6Q57200950-D00B0358-3151-47AC-A597-0BEF2E2FE979
P2860
A land use regression model for predicting ambient fine particulate matter across Los Angeles, CA.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A land use regression model fo ...... matter across Los Angeles, CA.
@en
A land use regression model fo ...... matter across Los Angeles, CA.
@nl
type
label
A land use regression model fo ...... matter across Los Angeles, CA.
@en
A land use regression model fo ...... matter across Los Angeles, CA.
@nl
prefLabel
A land use regression model fo ...... matter across Los Angeles, CA.
@en
A land use regression model fo ...... matter across Los Angeles, CA.
@nl
P2093
P2860
P356
P1476
A land use regression model fo ...... matter across Los Angeles, CA.
@en
P2093
P2860
P304
P356
10.1039/B615795E
P50
P577
2007-01-19T00:00:00Z