In light of projected climate change impacts in the Baltic Sea region, there is a strong need for enhanced understanding about adaptation needs. In this regard, the role of local level decision makers will be crucial to the success of such adaptation strategies. This primer aims to provide local decision makers with insights and knowledge on the subject. This primer has been prepared as part of the project RADOST (Regional Adaptation Strategies for the
German Baltic Sea Coast), which is funded by the
German Federal Ministry of Education and Research.
The work presented here is part of the socioeconomic analysis that is carried out within the RADOST project. It has been the starting point of developing a dynamic regionalized Input-Output (IO) model that is used to assess the effects of climate change and adaptation strategies on the regional economy. In a first step the model has been set up for the tourist sector in Mecklenburg-Western Pomerania. The possible developments of the tourism demand – influenced by climate change and other factors – were represented in three scenarios, which in turn were used as input data for the IO model.
This work deal with a comparison between the common
"bathtub method" and a state-of-the-art hydrodynamic model, called MIKE21 HD Flow Model, for modelling storm surges. The aim of this study is to work out the differences between both approaches and to find out how probable differences look like. There is the question if the "bathtub method" represents flooding adequate or, if the consideration of physics by hydrodynamic models makes a major difference and displays maybe the "real" risk of
inundations. This work tries to underline the differences between those two approaches, where the strengths and weaknesses are and what influence those differences have for an inundation analysis. The investigation was made on a digital elevation model for the study area of Kiel, the capital city of the state Schleswig-Holstein in Germany. The two approaches were made on data for a small storm surge on the basis of water-level-change and wind-regime data from 2010.
Proceeding of the 12th International Conference on Urban Drainage, Porto Alegre/Brazil, 11-16 September 2011.
For the development of adaptation strategies in the research project dynaklim (Dynamic Adaptation of Regional Planning and Development Processes to the Effects of Climate Change in the Emscher-Lippe-Region) numerous models (e. g. sewer models) which need rainfall data as input are used. These models need data with a temporal and spatial resolution beyond the resolution provided by regional climate models. Therefore downscaling of the
precipitation data is performed with the help of weather radar data. Comparisons of measurement and model data during 1961-1990 show systematic bias and differing statistical characteristics between the two data types; thus the model data requires preliminary correction before use. A critical point is the corrections´ impact on extreme event data that are applied in extreme value statistics for structure design, e.g. for retention basins. Different characteristics of the analysed rainfall data and correction procedures are described.
Abstract
Water management and environmental protection is vulnerable to extreme low flows during streamflow droughts. During the last decades, in most rivers of Central Europe summer runoff and low flows have decreased. Discharge projections agree that future decrease in runoff is likely for catchments in Brandenburg, Germany. Depending on the first-order controls on low flows, different adaption measures are expected to be appropriate. Small catchments were analyzed because they are expected to be more vulnerable to a changing climate than larger rivers. They are mainly headwater catchments with smaller ground water storage. Local characteristics are more important at this scale and can increase vulnerability.
This thesis mutually evaluates potential adaption measures to sustain minimum runoff in small catchments of Brandenburg, Germany, and similarities of these catchments regarding low flows. The following guiding questions are addressed: (i) Which first-order controls on low flows and related time scales exist? (ii) Which are the differences between small catchments regarding low flow vulnerability? (iii) Which adaption measures to sustain minimum runoff in small catchments of Brandenburg are appropriate considering regional low flow patterns?
Potential adaption measures to sustain minimum runoff during periods of low flows can be classified into three categories: (i) increase of groundwater recharge and subsequent baseflow by land use change, land management and artificial ground water recharge, (ii) increase of water storage with regulated outflow by reservoirs, lakes and wetland water management and (iii) regional low flow patterns have to be considered during planning of measures with multiple purposes (urban water management, waste water recycling and inter-basin water transfer). The question remained whether water management of areas with shallow groundwater tables can efficiently sustain minimum runoff. Exemplary, water management scenarios of a ditch irrigated area were evaluated using the model Hydrus-2D. Increasing antecedent water levels and stopping ditch irrigation during periods of low flows increased fluxes from the pasture to the stream, but storage was depleted faster during the summer months due to higher evapotranspiration. Fluxes from this approx. 1 km long pasture with an area of approx. 13 ha ranged from 0.3 to 0.7 ls-1 depending on scenario. This demonstrates that numerous of such small decentralized measures are necessary to sustain minimum runoff in meso-scale catchments.
Differences in the low flow risk of catchments and meteorological low flow predictors were analyzed. A principal component analysis was applied on daily discharge of 37 catchments between 1991 and 2006. Flows decreased more in Southeast Brandenburg according to meteorological forcing. Low flow risk was highest in a region east of Berlin because of intersection of a more continental climate and the specific geohydrology. In these catchments, flows decreased faster during summer and the low flow period was prolonged. A non-linear support vector machine regression was applied to iteratively select meteorological predictors for annual 30-day minimum runoff in 16 catchments between 1965 and 2006. The potential evapotranspiration sum of the previous 48 months was the most important predictor (r2 = 0.28). The potential evapotranspiration of the previous 3 months and the precipitation of the previous 3 months and last year increased model performance (r2 = 0.49, including all four predictors). Model performance was higher for catchments with low yield and more damped runoff. In catchments with high low flow risk, explanatory power of long term potential evapotranspiration was high.
Catchments with a high low flow risk as well as catchments with a considerable decrease in flows in southeast Brandenburg have the highest demand for adaption. Measures increasing groundwater recharge are to be preferred. Catchments with high low flow risk showed relatively deep and decreasing groundwater heads allowing increased groundwater recharge at recharge areas with higher altitude away from the streams. Low flows are expected to stay low or decrease even further because long term potential evapotranspiration was the most important low flow predictor and is projected to increase during climate change. Differences in low flow risk and runoff dynamics between catchments have to be considered for management and planning of measures which do not only have the task to sustain minimum runoff.
The survey of 4.000 companies in the metropolitan area of Bremen-Oldenburg in north-western Germany conducted by the University of Oldenburg as part of the ‚nordwest2050’ project in 2010 and 2012 showed that the economic importance of climate change is growing. The 2012 survey revealed that 38% of the companies polled already saw climate change as an important success factor for their company. In 2010, 31% of the companies surveyed said that they ascribed a “high” to “very high importance” to climate change for corporate success.
One of the important parts of the final conference of ‘nordwest2050’ has been the scientific exchange sessions in the House of Science and the Industryclub Bremen. Contributions were based upon a call for papers from October 2013. The scientific committee received almost 100 abstracts where 36 were chosen for oral presentations and 15 for poster presentations (see overview tables below).
Four main topics were discussed in parallel workshops:
• Analysing Impacts and Assessing Vulnerabilities
• Designing and Testing Solutions for Regional Climate Adaptation and Resilience
• Implementing Climate Adaptation and Paths to a Resilient Future
• Resilience for Business: Climate Adaptation Challenge and Strategies of Sectors and Companies
The Northwest of Germany is characterized by lively and modern cities and a rough landscape of coastal wetlands and moors. The flat land in the Northwest has long become a centre of logistics and harbor industry, of food production, and expertise in aerospace, energy and environmental technology. The region is one of Germany’s most dynamic industrial locations. nordwest2050 focuses on the Metropolitan Region Bremen-Oldenburg in the Northwest of Germany, a region with more than 2.3 million inhabitants