Die Siedlungswasserwirtschaft als System verstehen und in eine nachhaltige Zukunft zu führen charakterisiert die Forschung unserer Abteilung. Neben den traditionellen Fragestellungen zur Siedlungshygiene und zum Gewässerschutz stehen die nachhaltige Nutzung und Bewirtschaftung der Ressourcen im Vordergrund.
Forschende der Eawag untersuchen mit modernen Sensoren und der innovativen Datenfernübertragung LoRaWAN, wie Niederschläge und die folgenden Abflussprozesse zusammenhängen. Die neue Technik, auch schon «Internet der Dinge» genannt, soll helfen, die Abwasserentsorgung und die Kanalisation optimal zu betreiben und die Abwasser- und Gewässerqualität zu überwachen. Weiterlesen
Emerging solutions to the water challenges of an urbanizing world
The top priorities for urban water sustainability include the provision of safe drinking water, wastewater handling for public health, and protection against flooding. However, rapidly aging infrastructure, population growth, and increasing urbanization call into question current urban water management strategies, especially in the fast-growing urban areas in Asia and Africa. We review innovative approaches in urban water management with the potential to provide locally adapted, resource-efficient alternative solutions. Promising examples include new concepts for stormwater drainage, increased water productivity, distributed or on-site treatment of wastewater, source separation of human waste, and institutional and organizational reforms. We conclude that there is an urgent need for major transdisciplinary efforts in research, policy, and practice to develop alternatives with implications for cities and aquatic ecosystems alike.
Improving merge methods for grid-based digital elevation models
Abstract Digital Elevation Models (DEMs) are used to represent the terrain in applications such as, for example, overland flow modelling or viewshed analysis. DEMs generated from digitising contour lines or obtained by LiDAR or satellite data are now widely available. However, in some cases, the area of study is covered by more than one of the available elevation data sets. In these cases the relevant DEMs may need to be merged. The merged DEM must retain the most accurate elevation information available while generating consistent slopes and aspects. In this paper we present a thorough analysis of three conventional grid-based DEM merging methods that are available in commercial GIS software. These methods are evaluated for their applicability in merging DEMs and, based on evaluation results, a method for improving the merging of grid-based DEMs is proposed. DEMs generated by the proposed method, called MBlend, showed significant improvements when compared to DEMs produced by the three conventional methods in terms of elevation, slope and aspect accuracy, ensuring also smooth elevation transitions between the original DEMs. The results produced by the improved method are highly relevant different applications in terrain analysis, e.g., visibility, or spotting irregularities in landforms and for modelling terrain phenomena, such as overland flow.