National satellite-based land-use regression: NO2 in the United States.

@article{Novotny2011NationalSL,
  title={National satellite-based land-use regression: NO2 in the United States.},
  author={Eric V Novotny and Matthew J Bechle and Dylan B. Millet and Julian Marshall},
  journal={Environmental science & technology},
  year={2011},
  volume={45 10},
  pages={4407-14}
}
Land-use regression models (LUR) estimate outdoor air pollution at high spatial resolution. Previous LURs have generally focused on individual cities. Here, we present an LUR for year-2006 ground-level NO(2) concentrations throughout the contiguous United States. Our approach employs ground- and satellite-based NO(2) measurements, and geographic characteristics such as population density, land-use (based on satellite data), and distance to major and minor roads. The results provide reliable… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 49 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 38 references

Comparison of land-use regression models between Great Britain and the Netherlands

D Vienneau, K Hoogh, +3 authors D Briggs
Atmos. Environ • 2010

Comparison of the performances of land use regression modelling and dispersion modelling in estimating small-scale variations in long-term air pollution concentrations in a Dutch urban area

R Beelen, M Voogt, J Duyzer, P Zandveld, G Hoek
Atmos. Environ • 2010

Similar Papers

Loading similar papers…