Solar UV radiation has influence on human health, on air chemistry and on weathering. At Zugspitze the solar UV radiation has the highest values in Germany, while the region is also visited by many people. Routine observations of UV radiation are made at UFS and the data are provided online to the public, both as UVI values and as part of UV maps. together with measurements at Zugspitze summit and in rural and urban environment in the Bavarian lowlands, the dataforms a long time series The variability of the UV radiation in combination with other meteorological parameters that are measured at UFS is used to investigate change of the UV-radiation in the future, also with respect to effects of climatic. Moreover, the extensive weathering tests which are performed at UFS benefit from the UV information.
The Bavarian Seismic Network (a joined initiative of the StMUG, LfU and LMU) is responsible for monitoring the seismic activity in Bavaria. The main reason for running this network is to inform the public in case of an earthquake as well as strengthen the research capabilities. In addition, the Bavarian Seismic Network is embedded into European and German initiatives for modernizing the seismological infrastructure in Europe. The seismic station ZUGS, which is installed in a gallery of the Schneefernerhaus is an excellent example for the synergy of surveillance and science. The seismic station improves the capabilities for monitoring seismically active areas in the Inn valley/Ester mountain region. Furthermore, it serves as “natural” laboratory for studying seismic wave propagation in areas with steep topography which in turn can lead to enhanced damage patterns.
The Department of Geography uses process based models (SnowModel and ALPINE3D) for a detailed analysis of the hydrology of the Zugspitzplatt catchment. The application of the named models allows for a reconstruction of the energy and moisture fluxes and will therewith lead to a better understanding of the test sites hydrology. In addition we will explore the uncertainties of the used model approaches. For doing so, suitable input data series of different meteorological drivers are available. Additional scenario runs which will be in concordance with the IPCC scenarios will show future variances of the catchments runoff generation and of the snow coverage.
Over the years the environment has gradually changed as a result of global climate change. It is assumed that these changes have also impacted human health. The "health indices" are based on the combination of different atmosphericl parameters, derived e.g. from satellite measurements, with medical data. The fact that environmental factors like temperature, air pressure, tropospheric ozone concentrations, particulate matter and other atmospheric trace gas concentrations impact human health is indisputable. However, there is still medical research to be done to create a reliable weighting of various external factors on the health status of patients. In this interdisciplinary investigation, an air quality model will be used to characterise the relative impact of various environmental factors on the course of pulmonary diseases. The results of this investigation will be validated and optimized based on a cohort of patients with pulmonary disease as part of a health study at the environmental research station Schneefernerhaus (UFS).
The LMU-DLR cooperation project “Health information service for COPD and asthma for Bavaria” aims at the provision of riskinformation for patients suffering from chronic pulmonary diseases. Relevant environmental and medical data sets are analysed in order to quantify the effect of environmental factors on patients’ well-being. This knowledge allows the provision of easily understandable information about health risks to the general public. Moreover this projects targets at providing warnings in case of predicted (up to three days in advance) environmental situations, which are unfavourable for the patients’ health.
Recent climate change has been influencing the timing, duration and intensity of the pollen season in the northern hemisphere, which is one major observed climate change impact on human health.