Development of a software tool for rapid, reproducible, and stakeholder-friendly dynamic coupling of system dynamics and physically-based models

Malard, Julien; Inam, Azhar; Hassanzadeh, Elmira; Adamowski, Jan; Tuy, Héctor; Melgar‐Quiñonez, Hugo

doi:10.1016/j.envsoft.2017.06.053

Cited by 31 publications

(25 citation statements)

References 32 publications

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“…However, there is still a lack of integrating process-based models with socio-environmental models. As an example, a few studies showed how to couple system dynamics with agent-based models [193], physically-based models [194], or expert systems [195]. In regards to flood risk analysis, models for weather forecasts are coupled with hydrological models, inundation models, and with flood impact models (for example, flood loss models).…”

Section: Coupled Component Modelingmentioning

confidence: 99%

Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models

Zischg

2018

Systems

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Floodplains, as seen from the flood risk management perspective, are composed of co-evolving natural and human systems. Both flood processes (that is, the hazard) and the values at risk (that is, settlements and infrastructure built in hazardous areas) are dynamically changing over time and influence each other. These changes influence future risk pathways. The co-evolution of all of these drivers for changes in flood risk could lead to emergent behavior. Hence, complexity theory and systems science can provide a sound theoretical framework for flood risk management in the 21st century. This review aims at providing an entry point for modelers in flood risk research to consider floodplains as complex adaptive systems. For the systems science community, the actual problems and approaches in the flood risk research community are summarized. Finally, an outlook is given on potential future coupled component modeling approaches that aims at bringing together both disciplines.

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Section: Coupled Component Modelingmentioning

confidence: 99%

Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models

Zischg

2018

Systems

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“…Accordingly, various approaches, e.g., rule-based algorithms, can be used to convert this information into quantitative knowledge to be used in water system models, and impact assessment framework, noted above. Multi-layer decision-support tools, with different levels of complexity and details matching with participants background, should be developed and used for community engagements in water system discussions and analyses [107,108]. This can help finding water management decisions that are acceptable for multiple stakeholders.…”

Section: Discussionmentioning

confidence: 99%

Trade-Offs between Human and Environment: Challenges for Regional Water Management under Changing Conditions

Hassanzadeh

2019

Water

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Water resource systems are under unprecedented pressure mainly due to rapid socio-economic growth, weak water and land management decisions, as well as variability and change in climate conditions. These pressures have disrupted the functionality of freshwater ecosystems and have generated water management challenges in various regions across the globe. Here, we showcase the potential trade-offs in the Province of Saskatchewan, Canada, between upstream human activities and downstream environmental needs under changing water availability conditions. We showed that an increase in irrigation areas can boost provincial economy but alter timing, magnitude and rhythmicity of the peak flows reaching downstream ecosystems. This indicates that the business as usual management might not be able to handle such emerging challenges. To improve water management, we argue that there is a need to better represent the dynamic interactions between human water use and water quantity and quality conditions and their influence on ecosystems. In addition, impact assessment frameworks need to be improved to better identify system vulnerabilities under changing natural and anthropogenic conditions. Moreover, due to the key role of stakeholders in adopting land and water management decisions, their viewpoints need to be understood and included in management decisions.

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“…Component-based modeling stems from Component-Based Software Engineering ( Vale et al, 2016 ; Hutton et al, 2020 ) and common usage in environmental modeling typically makes no distinction between constituent and component models (e.g. Malard et al, 2017 ). A conscious decision has been made here to adopt the term “constituent” from the systems engineering field ( Nielsen et al, 2015 ) to convey this distinction.…”

Section: Concepts and Definitions Of Scalementioning

confidence: 99%

“…It is important to note that “integrated” and “multi-system” models could then equally apply to both single-system models with several component or constituent models. The requirement for a model to be regarded as “integrated” is that its (component or constituent) models are coupled together through the use of a common automated infrastructure to facilitate data interoperation (see for example, Malard et al, 2017 ; Whelan et al, 2014 ). By necessity, multi-system integrated models are more complex and may involve a variety of modeling paradigms (e.g.…”

Section: Concepts and Definitions Of Scalementioning

confidence: 99%

Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

Iwanaga

Wang

Hamilton

et al. 2021

Environmental Modelling & Software

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System-of-systems approaches for integrated assessments have become prevalent in recent years. Such approaches integrate a variety of models from different disciplines and modeling paradigms to represent a socio-environmental (or social-ecological) system aiming to holistically inform policy and decision-making processes. Central to the system-of-systems approaches is the representation of systems in a multi-tier framework with nested scales. Current modeling paradigms, however, have disciplinary-specific lineage, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. In this paper, a multidisciplinary team of researchers, from engineering, natural and social sciences, have come together to detail socio-technical practices and challenges that arise in the consideration of scale throughout the socio-environmental modeling process. We identify key paths forward, focused on explicit consideration of scale and uncertainty, strengthening interdisciplinary communication, and improvement of the documentation process. We call for a grand vision (and commensurate funding) for holistic system-of-systems research that engages researchers, stakeholders, and policy makers in a multi-tiered process for the co-creation of knowledge and solutions to major socio-environmental problems.

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Development of a software tool for rapid, reproducible, and stakeholder-friendly dynamic coupling of system dynamics and physically-based models

Cited by 31 publications

References 32 publications

Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models

Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models

Trade-Offs between Human and Environment: Challenges for Regional Water Management under Changing Conditions

Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

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