Spatial Analysis of Urban Sewage Network Events Using GIS. A Case Study of Ardabil City

Every year, thousands of incidents occur in urban sewer networks. Spatial analysis of these events using the proper techniques for reducing damages caused by them, is necessary. The purpose of this research is spatial analysis of the events of the urban sewage network. The study area of this study is Ardabil city consisting of 44 neighborhoods. The data of this study included 722 events in the Ardabil city sewage network. These statistics were recorded in the second half of 2016. In this study, spatial statistical techniques such as Kernel density, Geographically Weighted Regression (GWR) and the distribution pattern of "Ripley's K-Function", are used for data analysis. The findings show that the most sewage events occurred in the central neighborhoods, informal settlements and the Old textures of the city. Spatial distribution pattern of sewage events, is the cluster type. The sewage events density, intensity is higher in under construction and old neighborhoods and ‎there is a significant relationship between population density and building construction activities, ‎urban texture, quality of streets with the number of events but this relationship with ground ‎slope is meaningless. ‎In conclusion, old, overcrowded and under construction neighborhoods, faced with the most events and damages. Modeling spatial relationships also show that, old and deteriorated areas of the city faced with the highest risk of events in the sewage network. At the end, based on research findings, recommendations for improvement of networks and prevention of events in the sewage network are presented.