Urban water demand assessment for sustainable water resources management, under climate change and socioeconomic changes

Author:

Alamanos Angelos12,Sfyris Stamatis1,Fafoutis Chrysostomos1,Mylopoulos Nikitas1

Affiliation:

1. Laboratory of Hydrology and Aquatic Systems Analysis, Department of Civil Engineering, University of Thessaly, Volos, Greece

2. The Water Institute, University of Waterloo, 200 University Avenue W, Waterloo, ON N2L3G1, Canada

Abstract

Abstract The relationship between water abstraction and water availability has turned into a major stress factor in the urban exploitation of water resources. The situation is expected to be sharpened in the future due to the intensity of extreme meteorological phenomena, and socio-economic changes affecting water demand. In the city of Volos, Greece, the number of water counters has been tripled during the last four decades. This study attempts to simulate the city's network, supply system and water demand through a forecasting model. The forecast was examined under several situations, based on climate change and socio-economic observations of the city, using meteorological, water pricing, users' income, level of education, family members, floor and residence size variables. The most interesting outputs are: (a) the impact of each variable in the water consumption and (b) water balance under four management scenarios, indicating the future water management conditions of the broader area, including demand and supply management. The results proved that rational water management can lead to remarkable water conservation. The simulation of real scenarios and future situations in the city's water demand and balance, is the innovative element of the study, making it capable of supporting the local water utility.

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference22 articles.

1. Climate change effects on the availability of water resources of Lake Karla watershed for irrigation and Volos city urban water use,2018

2. Urban residential water demand prediction based on artificial neural networks and time series models;Water Resour. Manage.,2015

3. Ethical aspects in the economic modeling of water policy options;Global Environ. Change,2015

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