Volume 4 - Issue 3
Data Extraction from Google Earth for Modeling a Water Supply Distribution Network in Water GEMS
Abstract
The demand of water for the various activities is increasing day by day. But world’s fresh water reserve is diminishing due to pollution, climate change and erratic rainfall in successive years. Conservation by proper management of the system plays an important role in keeping the water supply distribution system sustainable. Water supply distribution systems can be modelled and managed precisely and economically with the help of advanced software packages.
Modelling water supply system on WaterGEMS requires. different types of data. This paper shows that GIS data available on public domain is a reliable source if it is not readily available from other sources. Google Earth is one such data source from which network data, topology, elevation data and customer meter allocation data can be extracted with minimum amount of time and money. Various elements in the network has been geo-located and saved in Google Earth using place marks and add path command. These data are then exported to ArcGIS for subsequent data processing. An android application known as GPS Essentials is also used for data collection which functioned just like a hand held GPS. Due to the absence of survey data of scheme area selected for modelling, a contour map was prepared from Google Earth using TCX Converter, a small online application on public domain and ArcMAP. Demand allocation on nodes in the WaterGEMS model requires a geo-coded customer meter layer which is again prepared form Google Earth. The geo-referenced data extracted from Google Earth can be given as input in Model Builder, Load Builder, TRex Terrain Extractor- various tools in Water GEMS for modeling the system.
Paper Details
PaperID: 6858718
Author Name: S. Yuvaraj
Author Email: -
Phone Number: -
Country: India
Keywords: Water Gems, Demand Allocation, Customer Meter Layer, Google Earth.
Volume: Volume 4
Issues: Issue 3
Issue Type: Issue
Year: 2017
Month: November
Pages:122-129