Identifying water price and population criteria for meeting future urban water demand targets

Ashoori, Negin; Dzombak, David A.; Small, Mitchell J.

doi:10.1016/j.jhydrol.2017.10.047

Cited by 35 publications

(20 citation statements)

References 42 publications

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“…Piecewise segments can be obtained according to the percentage of water demands; however, adjustment can be made if necessary. Much effort has been made to better understand the water use benefit function, such as the Cobb-Douglas production function [31] and piecewise function [32,33], which are not described in detail herein.…”

Section: Piecewise Linear Functionmentioning

confidence: 99%

Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Yin

Chen

et al. 2018

Water

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A major objective of the optimization of water resources allocation is to ensure the supply an adequate amount of water to users at the right time and maximize the utilization of water resources. However, in case of insufficient water supply, water shortage is likely to occur intensively for specific water users or in specific periods, referred to as a “concentrated water shortage”. The risk of a concentrated water shortage should be shared across a wider range of users and periods, so that it would have a less severe impact on each calculation unit in each period, which we refer to as the “wide-mild water shortage”. In this study, the nonlinear weight of the water supply objective function can be converted into a piecewise linear weight based on the law of diminishing marginal utility, making it possible to reduce or even eliminate the concentrated water shortage and thus making the allocation of water resources more reasonable. The case study in the Nen River basin in northeast China shows that the improved method results in a significant increase in water shortage units but a significant reduction in water shortage range. As a consequence, water shortage is more uniformly distributed from April to June, which contributes to solving the concentrated water shortage problem in May. However, it should be noted that to what extent the wide-mild water shortage can be realized depends not only on the marginal utility of water demand, but also on the available water supply and the regulative capacity of water supply projects. In spite of this, the improved method enables water to be supplied more suitably for users at the appropriate time, which contributes to improving the utilization of water resources and helping decision-makers better address the problem of concentrated water shortage.

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Section: Piecewise Linear Functionmentioning

confidence: 99%

Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Yin

Chen

et al. 2018

Water

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“…Different regions in the world have been facing water scarcity situations, which implies that the gap between water supply and demand is likely to increase in the future. The European Environment Agency in 2010 reported that municipal water consumption is driven by complicated interactions between anthropogenic and natural system factors at multiple spatial and temporal scales [10][11][12]. In the Gauteng Province, the Republic of South Africa, the municipal water delivered has been less than the demand.…”

Section: Introductionmentioning

confidence: 99%

Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study

Zubaidi

Ortega‐Martorell

Al-Bugharbee

et al. 2020

Water

142

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The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always been a challenging task for managers of water utilities and policymakers. This paper applies a novel methodology that includes data pre-processing and an Artificial Neural Network (ANN) optimized with the Backtracking Search Algorithm (BSA-ANN) to estimate monthly water demand in relation to previous water consumption. Historical data of monthly water consumption in the Gauteng Province, South Africa, for the period 2007–2016, were selected for the creation and evaluation of the methodology. Data pre-processing techniques played a crucial role in the enhancing of the quality of the data before creating the prediction model. The BSA-ANN model yielded the best result with a root mean square error and a coefficient of efficiency of 0.0099 mega liters and 0.979, respectively. Moreover, it proved more efficient and reliable than the Crow Search Algorithm (CSA-ANN), based on the scale of error. Overall, this paper presents a new application for the hybrid model BSA-ANN that can be successfully used to predict water demand with high accuracy, in a city that heavily suffers from the impact of climate change and population growth.

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“…Scenarios like climate change, population growth, recycling initiatives, and water prices can be evaluated to forecast potential water usage. Yet the need for water is still driven by population and water price rises compared with climate change and conservation methods (Ashoori et al 2017). Therefore, it is not appropriate to recognize the effects of climate change to forecast future water demand.…”

Section: Introductionmentioning

confidence: 99%

Urban stormwater harvesting for domestic water supply: a water evaluation and planning approach

Pravin

Gajendran

Divya

2021

Water Science and Technology

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Renewable groundwater and surface water supplies are insufficient for the existing urban population all over the world as water demand is increasing rapidly. Usage per capita in urban areas transcends 160 liters per day. Climate change is projected to increase water demand even more. Sources of surface water obtained by stormwater runoff can be well used to fulfill this requirement. The main objective of this work is to assess the water supply and demand in the dry condition in the Coimbatore region, Tamil Nadu, India, and to use the Water Evaluation and Planning method to create a model for supply and demand in the future. There are more than three dozen of surface water bodies in and around the metropolitan center. Most sources are heavily encroached upon. By linking stormwater runoff from its respective elevation to the accessible surface water bodies, an additional water supply source can be obtained. By using the Water Evaluation and Planning framework as a guide, models were developed to determine potential needs, compare demand and supply, water usage, lack of water use, and population coverage. The enhanced stormwater drainage system for Coimbatore city was also designed in such a way that the corporation's various roads were connected to the major water bodies. The domestic water demand in the future is predicted to be around 27 Million Cubic Feet(MCFT). Meanwhile, the possible amount of stormwater collection in the selected water bodies is predicted to be 50 Million Cubic Meter (MCM) to 320MCM. Thus, the study concluded that 100% of urban domestic water demand can be met if the urban stormwater is utilized by harvesting and storing in surface water bodies.

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Identifying water price and population criteria for meeting future urban water demand targets

Cited by 35 publications

References 42 publications

Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Optimal Allocation of Water Resources from the “Wide-Mild Water Shortage” Perspective

Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study

Urban stormwater harvesting for domestic water supply: a water evaluation and planning approach

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