Residential water demand forecasting modeling for two districts in Amman Jordan
Other Title(s)
نمذجة التنبؤ على طلب المياه السكني لمنطقتين في عمان الأردن
Dissertant
Thesis advisor
Comitee Members
al-Dahamishah, Ahmad
al-Tarawinah, Sulayman Dawud
al-Hamayidah, Husam Damin
University
Mutah University
Faculty
Faculty of Engineering
Department
Civil Engineering Department
University Country
Jordan
Degree
Master
Degree Date
2015
English Abstract
Jordan will face water shortage in the future due to the imbalance between the scare water resources and the growing demand that threatens to reduce the availability of water.
For this reason, studying residential water demand forecasting is one of important issues used when water authorities are trying to find more efficient and robust ways of supplying water for a large number of consumers.
Water demand forecasting also plays a significant role in managing and planning water supply operations and water conservation strategies.
Time series model is used in this work to forecast the residential water demand in two districts, Al-Jubayhah and Al-Yarmouk , located in Amman/Jordan.
Two different databases are used for the period 2000-2012.
The first one provides yearly water consumptions, while the second provides more detailed quarterly waters consumptions.
Data for population, number of housing connections, annual precipitation, maximum temperature, individual annual income and family annual income are collected and used as independent variables in the present work model.
The data for the period 2000-2009 is used for developing the cascade time series model, and then the data for the period 2010-2012 is used for verification.
The developed model for Al-Jubayhah district is used to test its applicability for other districts in Amman, Al-Yarmouk district is chosen for this purpose.
Comparison with measured data is made and good forecast is obtained.
Future water demand forecasting is made for the period 2015-2030 depend on different scenarios for expected increase in housing connections and in temperature.
A large increase in water demand is expected for the future period 2015-2030.
Main Subjects
No. of Pages
133
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Background review.
Chapter Three : Water demand forecasting using time series analysis.
Chapter Four : Results and discussions.
Chapter Five : Conclusions and recommendations.
References.
American Psychological Association (APA)
al- Laymun, Fida Nawwaf. (2015). Residential water demand forecasting modeling for two districts in Amman Jordan. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-730083
Modern Language Association (MLA)
al- Laymun, Fida Nawwaf. Residential water demand forecasting modeling for two districts in Amman Jordan. (Master's theses Theses and Dissertations Master). Mutah University. (2015).
https://search.emarefa.net/detail/BIM-730083
American Medical Association (AMA)
al- Laymun, Fida Nawwaf. (2015). Residential water demand forecasting modeling for two districts in Amman Jordan. (Master's theses Theses and Dissertations Master). Mutah University, Jordan
https://search.emarefa.net/detail/BIM-730083
Language
English
Data Type
Arab Theses
Record ID
BIM-730083
