Urban water demand forecasting: review of methods and models

EA Donkor, TA Mazzuchi, R Soyer… - Journal of Water …, 2014 - ascelibrary.org
This paper reviews the literature on urban water demand forecasting published from 2000 to
2010 to identify methods and models useful for specific water utility decision making …

A critical review of short-term water demand forecasting tools—what method should i use?

A Niknam, HK Zare, H Hosseininasab, A Mostafaeipour… - Sustainability, 2022 - mdpi.com
The challenge for city authorities goes beyond managing growing cities, since as cities
develop, their exposure to climate change effects also increases. In this scenario, urban …

Urban residential water demand prediction based on artificial neural networks and time series models

MA Al-Zahrani, A Abo-Monasar - Water resources management, 2015 - Springer
Water demand prediction is essential in any short or long-term management plans. For short-
term prediction of water demand, climatic factors play an important role since they have …

A comparative assessment of modeling groundwater vulnerability using DRASTIC method from GIS and a novel classification method using machine learning …

Q Khan, MU Liaqat, MM Mohamed - Geocarto International, 2022 - Taylor & Francis
Groundwater is more prone to contamination due to its extensive usage. Different methods
are applied to study vulnerability of groundwater including widely used DRASTIC method, SI …

Impacts of COVID-19 social distancing policies on water demand: A population dynamics perspective

A Bakchan, A Roy, KM Faust - Journal of Environmental Management, 2022 - Elsevier
Social distancing policies (SDPs) implemented in response to the COVID-19 pandemic have
led to temporal and spatial shifts in water demand across cities. Water utilities need to …

[HTML][HTML] Evaluation of policy scenarios for water resources planning and management in an arid region

MM Mohamed, W El-Shorbagy, MI Kizhisseri… - Journal of Hydrology …, 2020 - Elsevier
Abstract Study region Abu Dhabi, United Arab Emirates (UAE) Study focus Water demand in
the Emirate of Abu Dhabi (EAD) has increased significantly over the last few decades …

Water demand forecasting based on stepwise multiple nonlinear regression analysis

A Yasar, M Bilgili, E Simsek - Arabian Journal for Science and Engineering, 2012 - Springer
The main objective of the present study is to apply the nonlinear regression (NLR) model in
order to forecast water demand in Adana city of Turkey. The average monthly water bill, total …

A review of the water and energy sectors and the use of a nexus approach in Abu Dhabi

P Paul, AK Al Tenaiji, N Braimah - International journal of environmental …, 2016 - mdpi.com
Rapid population increase coupled with urbanization and industrialization has resulted in
shortages of water in the Middle East. This situation is further exacerbated by global climate …

Review on the use of environmental isotopes for groundwater recharge and evaporation studies in the GCC countries

MM Mohamed, S Parimalarenganayaki, Q Khan… - Groundwater for …, 2021 - Elsevier
Abstract The Gulf Cooperation Council (GCC) countries, which consist of Bahrain, Kuwait,
Oman, Qatar, Saudi Arabia and United Arab Emirates, possess abundant oil resources but …

Forecasting urban water demand: A meta-regression analysis

M Sebri - Journal of environmental management, 2016 - Elsevier
Water managers and planners require accurate water demand forecasts over the short-,
medium-and long-term for many purposes. These range from assessing water supply needs …