Evaluation of Water Saving Potential for Short-Term Water Demand Management

Wang, Hui; Bracciano, Dave; Asefa, Tirusew

doi:10.1007/s11269-020-02615-3

Cited by 21 publications

(7 citation statements)

References 30 publications

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“…For example, many static models are able to account for large spatial and temporal extents and tend to be more computationally efficient. Static models often leverage statistical techniques such as regression (Ashoori et al., 2016; Ramsey et al., 2017; Rasifaghihi et al., 2020; Wang et al., 2020), although recent work has shifted toward the use of more complex machine learning models (Obringer et al., 2022; Obringer & Nateghi, 2018; Wongso et al., 2020). These studies have provided critical information on understanding the relationship between water systems (both supply and demand) and the prevailing climatic conditions.…”

Section: Introductionmentioning

confidence: 99%

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Obringer,

White

2024

J American Water Resour Assoc

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Providing adequate water supply to the growing number of urban residents will be a challenge faced by many utility managers throughout the remainder of this century. Though traditionally, water managers have looked toward supply‐based solutions (e.g., expanding reservoirs), recent trends indicate a shift toward demand‐side management (e.g., encouraging conservation behaviors). Here, we present an agent‐based model (ABM) that simulates water supply as a function of the local climatic conditions and water consumption, which is, in part, determined based on water conservation attitudes. Our results indicate the ABM performs well (normalized root mean squared error <10%) for the study area. Further, we explore various hypothetical demand management scenarios by changing the water conservation attitudes of the households (i.e., the archetypes). This scenario testing reveals a statistically significant improvement to water availability after successfully changing water conservation attitudes to be more participatory. Ultimately, this study aims to understand the nuances of water conservation attitudes and aid utilities in their goal to better manage urban water demand.

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Section: Introductionmentioning

confidence: 99%

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Obringer,

White

2024

J American Water Resour Assoc

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“…Zhang et al, 2017). The reduction can be transient, such as short-term regulations during a drought period (Wang et al, 2020), or it can be persistent, as exemplified by the gradual and sustained reduction in water use observed in developed nations (Hart, 2016;Wheeler et al, 2017). For example, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Reframing water demand management: a new co-governance framework coupling supply-side and demand-side solutions toward sustainability

Liu,

Zheng,

Zhao

2024

Hydrol. Earth Syst. Sci.

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Abstract. Water demand management adopts economic and non-economic measures to reduce human water use. However, it is argued in this study that water use changes may cause idle water supply facilities and revenue losses, thereby challenging the sustainability of water supply systems in the context of climate change. A co-governance framework was established to inspire practical strategies of sustaining water supply systems by re-evaluating the long-term impacts of water demand changes. This framework adopts a broader view of water demand management by integrating the political, financial, and consumptive needs of the government, the market, and the users in the form of a collaborative strategy coupling both supply-side and demand-side solutions. The proposed framework was applied to the analysis of the sustainability of China's South-to-North Water Diversion Project. It is found that the South-to-North Water Diversion Project is not a simple water supply infrastructure but rather a synthesis of supply-side and demand-side water management solutions. Actively releasing water for ecological and cultural purposes is suggested in this study to maintain the socio-ecological benefits of the project in the context of human water use decline. The economic cost of the water supply could be recovered by ongoing revenues that include not only the water fees charged to users but also the benefits gained from cooperative investment in broader water-related businesses by both the state-owned water transfer company and local governments in water-receiving areas. The proposed framework and strategies are valuable for other water utilities around the world, especially those challenged by reduced water demand caused by climate change, high water prices, and economic depression.

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“…Traditionally, urban water management has been supply-focused, meaning that cities have focused on increasing their water supply to meet the demand (Gleick 2003). Recently, however, many cities have started to integrate demand management with their existing policies (Mitchell 2006;Luo et al 2015;Wang et al 2020). As droughts become more frequent and intense (Dai 2011;AghaKouchak et al 2015;Bruss et al 2019;Ault 2020), it is likely that these integrated management strategies will become increasingly important in many regions.…”

Section: Introductionmentioning

confidence: 99%

Improving the Interpretation of Data-Driven Water Consumption Models via the Use of Social Norms

Obringer

Nateghi

et al. 2022

J. Water Resour. Plann. Manage.

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Water is essential to improving social equity, promoting just economic development and protecting the function of the Earth system. It is therefore important to have access to credible models of water consumption, so as to ensure that water utilities can adequately supply water to meet the growing demand. Within the literature, there are a variety of models, but often these models evaluate the water consumption at aggregate scales (e.g., city or regional), thus overlooking intra-city differences. Conversely, the models that evaluate intra-city differences tend to rely heavily on one or two sources of quantitative data (e.g., climate variables or demographics), potentially missing key cultural aspects that may act as confounding factors in quantitative models. Here, we present a novel mixed-methods approach to predict intracity residential water consumption patterns by integrating climate and demographic data, and by incorporating social norm data to aid the interpretation of model results. Using Indianapolis, Indiana as a test case, we show the value in adopting a more integrative approach to modeling residential water consumption. In particular, we leverage qualitative interview data to interpret the results from a predictive model based on a state-of-the-art machine learning algorithm. This integrative approach provides community-specific interpretations of model results that would otherwise not be observed by considering demographics alone. Ultimately, the results demonstrate the value and importance of such approaches when working on complex problems.

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Evaluation of Water Saving Potential for Short-Term Water Demand Management

Cited by 21 publications

References 30 publications

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

Reframing water demand management: a new co-governance framework coupling supply-side and demand-side solutions toward sustainability

Improving the Interpretation of Data-Driven Water Consumption Models via the Use of Social Norms

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