Local effects of global climate change on the urban drainage system of Hamburg.

The Hamburg Water Group owns and operates a sewer network with a total length of more than 5,700 km. There has been increasing attention paid to the possible impacts of predicted changes in precipitation patterns on the sewer network infrastructure. The primary objective of the work presented in this paper is an estimation of the hydraulic impacts of climate change on the Hamburg drainage system. As a first step, simulated rainfalls based on the regional climate model REMO were compared and validated with long-term precipitation measurements. In the second step, the hydraulic effects on the sewer network of Hamburg have been analyzed based on simulated long-term rainfall series for the period of 2000-2100. Simulation results show a significant increase in combined sewer overflows by 50% as well as an increase in surcharges of storm sewer manholes. However, there is still a substantial amount of uncertainty resulting from model uncertainty and unknown development of future greenhouse gas emissions. So far, there seems to be no sound basis for the implementation of an overall climate factor for sewer dimensioning for the Hamburg region. Nevertheless, possible effects of climate change should be taken into account within the planning process for major sewer extensions or modifications.

Geo-referenced modeling of zinc concentrations in the Ruhr river basin (Germany) using the model GREAT-ER.

Zinc enters surface waters from a variety of different emission sources. The geo-referenced model GREAT-ER (Geo-referenced Regional Exposure Assessment Tool for European Rivers) was applied to simulate spatially resolved zinc concentrations in the Ruhr river basin. The model links geo-referenced emissions (loads) to concentrations at local and regional scales and allows for evaluating the relative importance of emission sources. For each emission from point sources (household, industry, urban runoff) and non-point sources (agriculture, natural background), zinc loads were independently estimated using appropriate reference parameters (number of inhabitants, surface area drained, agricultural area, zinc ore regions). For point emissions from industry and mine drainage loads were taken directly from available data compilations. Simulated total zinc concentrations agree well with monitoring data. The strength of the modeling tool became evident from the unequivocal link that could be established between observed surface water concentrations and the large zinc input from geogenic sources and abandoned mines. These emission sources are regional characteristics of the Ruhr river basin and due to the fact that some regions are relatively rich in zinc ore, which was extracted over a long period of time. Although most of these emissions occur in the upper part of the catchment, they contribute to approximately one-third to the zinc load at the confluence with the Rhine River. Urban emissions from household, traffic (road) and buildings (roof) were shown to be responsible for approximately half of the concentration in the Ruhr at the confluence with the Rhine River.