Affiliation:
1. National Laboratory for Water Science and Water Security, University of Public Service, 6500 Baja, Hungary
Abstract
Water utilities are like arteries for the urban environment and, in order to satisfy water demand, extensive design and operation work applying modeling tools is required. An effective tool can be operated but only if the input, such as real-world consumption data, is built into the system. This study aims to present a GIS-based technique to align the consumption data to a simplified network topology. This study investigates four distinct methods, revealing noteworthy outcomes. The geocoding of consumption locations facilitates their seamless integration with model nodes through geospatial methods. Additionally, effective water consumption allocation is achieved by delineating influence ranges around each node. When comparing the zoning based on the street approach and the arithmetic average with the benchmark manual range of influence approach, substantial errors appear of approximately 190% and 230%, respectively. Addressing the impracticality of the manual method, especially for larger networks, this study advocates for the use of Thiessen polygons to delineate influence areas. In conclusion, this study presents a holistic approach to aligning consumption data with simplified network topologies for enhanced water utility modeling.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献