Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management

Bakarji, Joseph; O’Malley, Daniel; Vesselinov, Velimir V.

doi:10.1007/s11269-017-1713-7

Cited by 24 publications

(12 citation statements)

References 25 publications

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“…Farming and irrigation management Nüsser et al, 2012Nüsser et al, , 2019Bury et al, 2013;Ertsen et al, 2014;Liu et al, 2014;Pande and Ertsen, 2014;Schumann and Nijssen, 2014;Purdue and Berger, 2015;Den Besten et al, 2016;Giuliani et al, 2016;Jeong and Adamowski, 2016;Martin et al, 2016;Bouziotas and Ertsen, 2017;Han et al, 2017;Noël and Cai, 2017;Nüsser and Schmidt, 2017;Roobavannan et al, 2017;Sanderson et al, 2017;Srinivasan et al, 2017;Essenfelder et al, 2018;Gunda et al, 2018;Iwanaga et al, 2018;Kuil et al, 2018;O'Keeffe et al, 2018O'Keeffe et al, , 2020Ogilvie et al, 2019;Pouladi et al, 2019;Sun et al, 2019;Khalifa et al, 2020;Hanus, 2021;Lu et al, 202131 20% Groundwater Elshafei et al, 2015Hu et al, 2015;Bakarji et al, 2017;Han et al, 2017;Noël and Cai, 2017;Re et al, 2017;Srinivasan et al, 2017;Al-Amin et al, 2018;Hough et al, 2018;Iwanaga et al, 2018;O'Keeffe et al, 2018;…”

Section: Water Components Used In Primary Studiesmentioning

confidence: 99%

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

et al. 2021

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Sociohydrology is a recent effort to integrate coupled human-water systems to understand the dynamics and co-evolution of the system in a holistic sense. However, due to the complexity and uncertainty involved in coupled human-water systems, the feedbacks and interactions are inherently difficult to model. Part of this complexity is due to the multi-scale nature across space and time at which different hydrologic and social processes occur and the varying scale at which data is available. This systematic review seeks to comprehensively collect those documents that conduct analysis within the sociohydrology framework to quantify the spatial-temporal scale(s) and the types of variables and datasets that were used. Overall, a majority of sociohydrology studies reviewed were primarily published in hydrological journals and contain more established hydrological, rather than social, models. The spatial extents varied by political and natural boundaries with the most common being cities and watersheds. Temporal extents also varied from event-based to millennial timescales where decadal and yearly were the most common. In addition to this, current limitations of sociohydrology research, notably the absence of an interdisciplinary unity, future directions, and implications for scholars doing sociohydrology are discussed.

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Section: Water Components Used In Primary Studiesmentioning

confidence: 99%

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

et al. 2021

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“…Despite grower mistrust, hydrological models are considered amongst scientists to be the best tools for planning, forecasting, evaluating solutions, and assessing water resource and conservation needs at the regional, national, and global scales [70,71]. One possible option-the modeler's solution-is to incorporate stakeholder behavior into ecosystem models to create hybrid socio-environmental models that optimize stakeholder outcomes [72]. However, many water conflicts fall into the category of "wicked problems," [73] to which there are, by definition, no optimal solutions, rather only "clumsy" [74], exploratory solutions that are devised with inputs from stakeholders, though all stakeholders will not agree to clumsy solutions for the same reasons [74].…”

Section: Modeling Studies Need Transdisciplinary Collaborationmentioning

confidence: 99%

Knowledge Co-Production with Agricultural Trade Associations

Nocco

Feinstein

Stock

et al. 2020

Water

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Scientists and agricultural trade associations may further conservation outcomes by engaging with one another to uncover opportunities and engage in social learning via knowledge co-production. We observed, documented, and critically reviewed knowledge exchanges among scientists and agricultural stakeholders working on a multidecadal water conflict in Wisconsin. Differences in knowledge exchange and production were related to meeting spaces, organization, time management, and formality of interactions. We found that repetitive, semiformal meetings organized and led by growers facilitated knowledge exchange, co-production, and social learning. However, scientists often appeared uncomfortable in grower-controlled spaces. We suggest that this discomfort results from the widespread adoption of the deficit model of scientific literacy and objectivity as default paradigms, despite decades of research suggesting that scientists cannot view themselves as objective disseminators of knowledge. For example, we found that both scientists and growers produced knowledge for political advocacy but observed less transparency from scientists, who often claimed objectivity in politicized settings. We offer practical methods and recommendations for designing social learning processes as well as highlight the need to better prepare environmental and extension scientists for engaging in agribusiness spaces.

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“…In the water domain, ABM techniques have been used to model water resources management, including urban water demand [34,35]. Mashhadi Ali et al [36] developed a framework to explore the dynamics of water supply and demand, modelling the interaction between the households and the water utility manager.…”

Section: Introductionmentioning

confidence: 99%

Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents

Perello-Moragues

Poch

Saurı́

et al. 2021

Water

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In this paper, we present an agent-based model for exploring the interplay of basic structural and socio-cognitive factors and conventional water saving measures in the evolution of domestic water use in metropolitan areas. Using data of Barcelona, we discuss three scenarios that involve plausible demographic and cultural trends. Results show that, in the three scenarios, aggregate outcomes are consistent with available conventional modelling (while total water use grows, per capita water use declines); however, the agent-based simulation also reveals, for each scenario, the different dynamics of simple policy measures with population growth, cultural trends and social influence; thus providing unexpected insights for policy design.

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Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management

Cited by 24 publications

References 25 publications

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

Knowledge Co-Production with Agricultural Trade Associations

Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents

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