A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data

Water distribution networks are the backbone of any municipal water supply. Their task is to supply population regardless respective demand. High resilience these infrastructures great importance and has brought into focus science politics. At same time, data collected highly sensitive often openly unavailable. Therefore, researchers have rely on models that represent topology infrastructures. In this work, a model developed allows an urban infrastructure be mapped using example Cologne, Germany by combining freely available data. On one hand, spatial land use (local climate zones) used disaggregate demand within city under consideration. other parallelism transportation identify network applying optimization methods. These can analyzed vulnerable areas structures.