Abschätzung der Abwassereinleitungen mittels OpenStreetMap-Daten - neuer Prosper-Ro Artikel

Schilling & Tränckner 2002 Estimation of Wastewater Discharges by Means of OpenStreetMap Data, Water, Fig. 1
Schilling & Tränckner 2002 Estimation of Wastewater Discharges by Means of OpenStreetMap Data, Water, Fig. 1
Schilling & Tränckner 2002 Estimation of Wastewater Discharges by Means of OpenStreetMap Data, Water, Fig. 1

In der englischsprachigen MDPI-Fachzeitschrift "Water" ist der Beitrag "Estimation of Wastewater Discharges by Means of OpenStreetMap Data" von Jannik Schilling und Prof. Dr.-Ing. Jens Tränckner, beide Universität Rostock, im Rahmen des Vorhabens Prosper-Ro veröffentlicht worden.

Sie finden die Publikation online oder als Download.

Abstract:

For the optimization of sewer networks and integration of water management in urban planning, estimations of wastewater discharges at a high spatial resolution are a key boundary condition. In many cases, these data are not available or, for reasons of data protection and company secrecy, the data are not accessible for research purposes. Therefore, procedures are needed to determine the volume of wastewater with high spatial resolution, based on freely accessible data. The approach presented here uses mainly OpenStreetMap (OSM) data, combined with a dataset of the German official topographic–cartographic Information System (ATKIS), to estimate the volume of wastewater on a building level. By comparison with daily values of the dry weather inflow at pumping stations and sewage treatment plants, it is shown that the method can generate realistic results, if target inflows exceed 50 m³/d. Difficulties due to the effect of commuting and the individual use of the buildings have to be considered, as well as data-quality issues in the OSM dataset. As an application example, the generated wastewater discharges are spatially joined with land-use plans. The resulting wastewater yield factors serve as input data for decision-support tools in urban water planning or modeling tasks.

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