# name
Land Use Regression Models for Ultrafine Particles in Six
                European Areas

# metadata.dc.description.abstract[].value
Long-term ultrafine particle (UFP) exposure estimates at a fine
                spatial scale are needed for epidemiological studies. Land use
                regression (LUR) models were developed and evaluated for six
                European areas based on repeated 30 min monitoring following
                standardized protocols. In each area; Basel (Switzerland),
                Heraklion (Greece), Amsterdam, Maastricht, and Utrecht ("The
                Netherlands"), Norwich (United Kingdom), Sabadell (Spain), and
                Turin (Italy), 160-240 sites were monitored to develop LUR
                models by supervised stepwise selection of GIS predictors. For
                each area and all areas combined, 10 models were developed in
                stratified random selections of 90% of sites. UFP prediction
                robustness was evaluated with the intraclass correlation
                coefficient (ICC) at 31-50 external sites per area. Models from
                Basel and The Netherlands were validated against repeated 24 h
                outdoor measurements. Structure and model R2 of local models
                were similar within, but varied between areas (e.g., 38-43%
                Turin; 25-31% Sabadell). Robustness of predictions within areas
                was high (ICC 0.73-0.98). External validation R2 was 53% in
                Basel and 50% in The Netherlands. Combined area models were
                robust (ICC 0.93-1.00) and explained UFP variation almost
                equally well as local models. In conclusion, robust UFP LUR
                models could be developed on short-term monitoring, explaining
                around 50% of spatial variance in longer-term measurements.

# metadata.dc.relation.isformatof[].value
Reproducció del document publicat a:
                http://dx.doi.org/10.1021/acs.est.6b05920

# metadata.dc.relation.ispartof[].value
Environmental Science & Technology, 2017, vol. 51, num. 6,
                p. 3336-3345

# metadata.dc.source[].value
Articles publicats en revistes (ISGlobal)

# metadata.dc.title[].value
Land Use Regression Models for Ultrafine Particles in Six
                European Areas