Utility Mapping using GIS: towards an automatic alert system using ArcGIS ModelBuilder

Document Type : Research articles

Authors

Transportation Department, Faculty of Engineering, Alexandria University.

Abstract

Geographic Information Systems (GIS) have an important effective role which has been clearly evident in various areas. GIS contributes greatly to the formulation and compilation of data in an organized manner that provides an easy and simple access to the required information, and significantly helps in taking the most appropriate decisions. GIS has recently introduced revolutionary changes in the field of infrastructure assets management and utility mapping, the main focus of this study. Infrastructure has always attracted the attention of various national governments. Investment in infrastructure has always been a major driver and decisive factor in the growth of nations. Economic and population growth has created an urgent need for investment in the basic infrastructure such as; water facilities, sewer lines, utility grids, electricity, etc. Underground utility mapping refers to the detection and positioning of pipes and cables buried beneath the ground, in addition to the identification of their spatial and descriptive data. Egypt has recently adopted the required technologies to establish integrated digital databases for the national infrastructure, so as to support and promote the sustainable developmental efforts. In this study, using GIS and Model Building technique, an automated alert system is pursued and established so as to automatically test the infrastructure maps and identify error locations, according to prior data fed with the basic rules, through which the validity of the distribution of different elements on the map can be judged. The operation ability of such a system would improve the speed of detecting errors, which would certainly enhance the process of error control, and thus obtain maps with high accuracy and credibility that can be relied upon in conducting various operations; like the processes of query and analysis and so on.

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