Air pollution has a direct impact to human health, and data-driven air quality models are useful for evaluating population exposure to air pollutants. In this paper, we propose a novel region-based Gaussian process model for estimating urban air pollution dispersion, and applied it to a large dataset of ultrafine particle (UFP) measurements collected from a network of sensors located on several...

today, the cement industry is one of the major air polluting industries in the world. hence, in this study, owing to the importance and role of contaminants from the plant, an appraisal of the emission contributions in addition to other factors have been discussed. there are several reasons behind the importance of modeling air pollutants. first, the assessment of standards for air pollution, a...

We extend the concept of the ridgeline from Ray and Lindsay (2005) to finite mixtures of general elliptical densities with possibly distinct density generators in each component. This can be used to obtain bounds for the number of modes of two-component mixtures of t distributions in any dimension. In case of proportional dispersion matrices, these have at most three modes, while for equal degr...

The Advanced Identity Representation (AIR) Project is a new interdisciplinary approach to the problem of designing identity technologies to enable imaginative selfrepresentations for users by implementing dynamic social identity models grounded in computing and cognitive science. AIR Project research develops models of social computational identity (e.g., characters, avatars, and social network...

Our multiscale air quality modeling activities are reviewed. Two different techniques, static grid nesting and dynamic grid adaptions are discussed. The mass conservation and transportive properties of our grid nesting technique are shown in a linear advection problem. Results from an air quality application to the northeastern U.S. are also presented. The solution accuracy with the adaptive gr...

OCTOBER 2004 AMERICAN METEOROLOGICAL SOCIETY | he data supporting aerosol research can be obtained either observationally or indirectly from models. Observations can be broadly divided into routine monitoring efforts, which may be used to continuously evaluate an assimilation model, or episodically generated data, localized in space and/or time (Fig. 1). Assimilated monitoring results, if they ...

In a recent paper, Peláez and Ynduráin evaluate some of the low energy observables of ππ scattering and obtain flat disagreement with our earlier results. The authors work with unsubtracted dispersion relations, so that their results are very sensitive to the poorly known high energy behaviour of the scattering amplitude. They claim that the asymptotic representation we used is incorrect and pr...

The invertebrate populations of stony desert sites contaminated by ancient metalliferous activities in the Nabatean, Roman and Byzantine periods were significantly different from those found in adjacent ancient abandoned field systems. Consequently, it is apparent that such invertebrates potentially have uses as biomonitors of metalliferous pollution derived from ancient anthropogenic activitie...

Five-year data of SO2, PM10, NO, NO2, O3 and CO levels recorded at two air pollution monitoring stations in the city of Salamanca were analysed using a HJ-Biplot Simultaneous Representation analysis method in order to determine the possible relationships among the different pollutants and to gain insight into the temporal evolution of pollution in this city. Use of this statistical method prove...