Land Use Regression Models for Ultrafine Particles in Six European Areas

Land Use Regression Models for Ultrafine Particles in Six European Areas

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 (Unit...

Biological Models for Protecting Different Land Use in Arid Areas China

There are more than 750 counties in 13 provinces and autonomous regionsconstituting 30% of China lands which are facing serious problem of desertification. Theseareas are mainly distributed in arid, semi-arid and dry sub-humid areas in the western part ofNortheast China, North central china and most of northwest china. Biological methods are theultimate way for drift sand stabilization and a fu...

Evaluation of land use regression models for NO2 and particulate matter in 20 European study areas: the ESCAPE project.

Land use regression models (LUR) frequently use leave-one-out-cross-validation (LOOCV) to assess model fit, but recent studies suggested that this may overestimate predictive ability in independent data sets. Our aim was to evaluate LUR models for nitrogen dioxide (NO2) and particulate matter (PM) components exploiting the high correlation between concentrations of PM metrics and NO2. LUR model...

Erratum: “Performance of Multi-City Land Use Regression Models for Nitrogen Dioxide and Fine Particles”

Performance of Multi-City Land Use Regression Models for Nitrogen Dioxide and Fine Particles

BACKGROUND Land use regression (LUR) models have been developed mostly to explain intraurban variations in air pollution based on often small local monitoring campaigns. Transferability of LUR models from city to city has been investigated, but little is known about the performance of models based on large numbers of monitoring sites covering a large area. OBJECTIVES We aimed to develop Europ...