Land Use Regression Modeling of PM2.5 Concentrations at Optimized Spatial Scales
نویسندگان
چکیده
منابع مشابه
Land Use Regression Modeling of PM2.5 Concentrations at Optimized Spatial Scales
Though land use regression (LUR) models have been widely utilized to simulate air pollution distribution, unclear spatial scale effects of contributing characteristic variables usually make results study-specific. In this study, LUR models for PM2.5 in Houston Metropolitan Area, US were developed under scales of 100 m, 300 m, 500 m, 800 m, and 1000–5000 m with intervals of 500 m by employing th...
متن کاملModeling Spatial Land Use Pattern Using Autologistic Regression
The significance of land cover as an environmental variable has made land use change an important subject in global environmental change and sustainable development. Modeling land use change has attracted considerable attention. Currently, empirical estimation models using statistical techniques are one of mostly used spatial models to simulate land use pattern and its changes. Empirical estima...
متن کاملAssessing Alternatives for Modeling the Spatial Distribution of Multiple Land-cover Classes at Sub-pixel Scales
We introduce and evaluate three methods for modeling the spatial distribution of multiple land-cover classes at subpixel scales: (a) sequential categorical swapping, (b) simultaneous categorical swapping, and (c) simulated annealing. Method 1, a modification of a binary pixel-swapping algorithm, allocates each class in turn to maximize internal spatial autocorrelation. Method 2 simultaneously e...
متن کاملNitrogen dioxide concentrations in neighborhoods adjacent to a commercial airport: a land use regression modeling study
BACKGROUND There is growing concern in communities surrounding airports regarding the contribution of various emission sources (such as aircraft and ground support equipment) to nearby ambient concentrations. We used extensive monitoring of nitrogen dioxide (NO2) in neighborhoods surrounding T.F. Green Airport in Warwick, RI, and land-use regression (LUR) modeling techniques to determine the im...
متن کاملSpatial Variation and Land Use Regression Modeling of the Oxidative Potential of Fine Particles
BACKGROUND Oxidative potential (OP) has been suggested to be a more health-relevant metric than particulate matter (PM) mass. Land use regression (LUR) models can estimate long-term exposure to air pollution in epidemiological studies, but few have been developed for OP. OBJECTIVES We aimed to characterize the spatial contrasts of two OP methods and to develop and evaluate LUR models to asses...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Atmosphere
سال: 2016
ISSN: 2073-4433
DOI: 10.3390/atmos8010001