Residential water demand forecasting modeling for two districts in Amman Jordan
العناوين الأخرى
نمذجة التنبؤ على طلب المياه السكني لمنطقتين في عمان الأردن
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
al-Dahamishah, Ahmad
al-Tarawinah, Sulayman Dawud
al-Hamayidah, Husam Damin
الجامعة
جامعة مؤتة
الكلية
كلية الهندسة
القسم الأكاديمي
قسم الهندسة المدنية
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2015
الملخص الإنجليزي
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.
التخصصات الرئيسية
عدد الصفحات
133
قائمة المحتويات
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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-730083
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر