Please use this identifier to cite or link to this item: http://repository.aaup.edu/jspui/handle/123456789/2611
Title: Fair Water Distribution Network Using An Intelligent Spatial Support System رسالة ماجستير
Other Titles: شبكة توزيع المياه العادلة باستخدام نظام ذكي داعم للقرار المكاني
Authors: Abu Arra, Doha$AAUP$Palestinian
Keywords: Motivation,Contribution,Study Area,Water supply system
Issue Date: 2024
Publisher: AAUP
Abstract: The existence of water is vital because it is necessary for all living things. Due to their fixed and limited allocations, Palestinians currently face a number of obstacles in their quest for sufficient and safe drinking water. Many municipalities have water data, but it is not arranged in a way that makes decision-making and problem-solving easier. Therefore, all water data needs to be collected, edited, and managed to be analyzed and useful information can be drawn from it. Water resource management is the management, development, distribution, planning and of water resources to guarantee their optimal utilization. A water distribution network's awareness is increasing through the use of GIS. Using water network analysis and GIS, we can locate and identify pipe breaks as soon as they happen. In addition to handling all of the data related to the sporadic water supply networks in Palestine and other nations. My goal is to locate a system that can evaluate Nablus' water distribution system. Data from the study area (industrial zone) were gathered for my thesis. All of the data I have gathered were not GIS data; rather, they were converted from AutoCAD format to GIS data, which meant that they included many issues that needed to be fixed. Data must be organized in order for the developer to perform analysis. I have made numerous edits to the data, including defining simple, complex, and connected edges and junctions. Water data consist of Customer meters (water destination), Source data, Valves data, and Pipe data (main pipes, House Connection pipes). ArcMap software and (GIS) were combined to initialize a water network that supports the intermittent supply system. The purpose of the geometric network is to identify loops and other issues like finding disconnected or connected network elements, locating disconnected VI network parts and figuring out how to reconnect them, as well as to perform network analysis and verify the connectivity between network components. To get a fair water distribution system, it was necessary to first ensure the safety and correctness of the connection of the network components. Secondly, to establish a predicting system based on historical data for maintenance operations, this system used C# programming language to apply data mining algorithms, and it used ArcMap software, to apply spatial data mining analyses that take into account the exact coordinates of each component and the spatial relations of the components around it, in particular the Ordinary least squares analysis, Lastly, the network is examined using the breadth-First algorithm and isolation algorithms to identify each network component's controlled valve, which the intelligent system will then propose to close in the event that the related component malfunctions. The results showed that the use of data mining techniques and spatial data mining techniques in the establishment of a prediction system based on historical data for maintenance operations to determine which components may need maintenance. The results also showed that the use of visualization algorithms in network analysis makes the system able to identify the controlling valve in each element to propose its closure in case the element breaks down; these results help save time and money and reduce water loss
Description: master`s degree in Computer Science
URI: http://repository.aaup.edu/jspui/handle/123456789/2611
Appears in Collections:Master Theses and Ph.D. Dissertations

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