Decision Support System for Water Pipeline Leakage Based on Integrated GIS, Remote Sensing and Hydraulic Models Mazlan Hashim 1 , Samsudin Ahmad 1 , Faidrullah Sheikh Naimullah 1 , Zulkarnain A Rahman 1 , Maged Marghany 1 , Mohammad Idris Ali 2 , Rosman A Ghani 3 , and Abd Munaim A Hamid 3 1 Faculty of Geoinformation Science & Engineering Universiti Teknologi Malaysia 81310 UTM, Skudai, Johor Bahru, Malaysia Tel: +607-5530873 Fax: +607-5566163 Email: mazlan@fsksg.utm.my 2 Faculty of Civil & Environmental Engineering University Malaysia Pahang Gambang, Kuantan, Pahang 3 TZR Technologies Sdn Bhd Kuantan, Pahang ABSTRACTT: his paper reports the development of Decision Support System (DSS) for Non- Revenue Water (NRW) implemented at Temerloh Water Supply Department (TWSD). Joint collaborative works between TWSD, UTM and TZR have been made for integrating GIS with remote sensing and Hydraulic models to predict zone of pipeline leakage. The project have focused on database creation of pipeline network using Window based ESRI ArcInfo 9.x system, and the development of DSS for NRW based on geospatial technology, which address the most recent issue the non-renewable water due to pipeline leakage in the pipeline management for domestic water supply. 1. INTRODUCTION The water mains burst is one of the most frequently raised in most operational water management problems and have been the major reason for inefficiency in design and management of the water pipeline network. This paper highlights the development of a DSS based on integrated GIS, Remote sensing and relevant hydraulic models for allowing the user to evaluate the level of water leakage occurrence probability. The system evaluation scheme that models water leakage occurrence based on: (a) parameters for water pipeline system - variables such as pipe age, diameter, ground elevation, and pipe materials; (b) parameters for management practice – water demand, supply, priorities of supply, etc, and (c) Site parameters - current corridor analysis of possible environmental stress due to effects of seepage attributed to leakage were also included by means of derived index from high resolution satellite remote sensing data and field spectrometry input. The user can interact with the system to create probabilities of pipelines leakages that link the user- provided origin and destination points along the pipeline network considering all the above- mentioned 3 group parameters. The data was constructed using the GIS based on the servicing area nodes which are defined by supply region, water demand and pipeline network. The system was applied to a test region in Temerloh, Pahang, Malaysia. The main objective of the project is to create anomaly map for detection of water leakage. 1