Development and validation of tools for the implementation of european air quality policy in Germany (Project VALIUM)
In the framework of the German Atmospheric Research Program AFO-2000 a system of consistent coupled numerical models has been developed. The purpose of the model system is to serve as a tool for the execution of European urban air quality regulations. A consortium with the acronym VALIUM was formed, which consisted of German research institutes, environmental consultancies and an environmental agency. A substantial part of the VALIUM program was devoted to the generation of a set of high quality data for the validation of the numerical model system. The validation data are based on a combination of field studies, tracer experiments and corresponding wind tunnel experiments. The field experiments were carried out inside and around a street canyon in a city district of Hanover/Germany. After a brief introduction to the VALIUM project a summary of the main results will be given.
The Sensitivity of Mesoscale Chemistry Transport Model Results to Boundary Values
Using a high resolution meteorology-chemistry transport model, simulations were performed to estimate the sensitivity of the model results to nesting. The model results are compared with airplane measurements made during the TRACT field measuring campaign in September, 1992. For the meteorological part of the model the performance is enhanced using one-way nesting in a larger scale model, if the quality of the large scale driving data is sufficient. The sensitivity of the NOx concentration results with respect to nesting of chemical quantities is rather low due to the poor quality of the forcing data. A correct description of the emission rates and the meteorological conditions may be more important. For ozone, the best results can be achieved with either no nesting or a meteorological and chemical nested model simulation, which is again a result of the poor quality of the forcing data.
Daily weather variables and affective disorder admissions to psychiatric hospitals
Numerous studies have reported that admission rates in patients with affective disorders are subject to seasonal variation. Notwithstanding, there has been limited evaluation of the degree to which changeable daily meteorological patterns influence affective disorder admission rates. A handful of small studies have alluded to a potential link between psychiatric admission rates and meteorological variables such as environmental temperature (heat waves in particular), wind direction and sunshine. We used the Kruskal-Wallis test, ARIMA and time-series regression analyses to examine whether daily meteorological variables—namely wind speed and direction, barometric pressure, rainfall, hours of sunshine, sunlight radiation and temperature—influence admission rates for mania and depression across 12 regions in Ireland over a 31-year period. Although we found some very weak but interesting trends for barometric pressure in relation to mania admissions, daily meteorological patterns did not appear to affect hospital admissions overall for mania or depression. Our results do not support the small number of papers to date that suggest a link between daily meteorological variables and affective disorder admissions. Further study is needed.