Metamodel-assisted analysis of an integrated model composition: An example using linked surface water – groundwater models

Christelis, Vasileios; Hughes, Andrew

doi:10.1016/j.envsoft.2018.05.004

Cited by 13 publications

(12 citation statements)

References 57 publications

(50 reference statements)

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“…In cases of high runtime, replacing the most computationally expensive constituent models with metamodels may be a viable option. Metamodels approximate the input-output behavior of the original model ( Castelletti et al, 2012 ; Christelis and Hughes, 2018 ; Pietzsch et al, 2020 ) and therefore provide simplified representation(s) of more complex models ( Asher et al, 2015 ; Razavi et al, 2012 ). Metamodels leverage the emergent simplicity of complex systems and although there are a variety of methods available to accomplish this, generally metamodels require the complex models (i.e.…”

Section: Scale Issues To Considermentioning

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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Section: Scale Issues To Considermentioning

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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“…Approximation models have been widely used during the last decade in water resources (e.g., [13, 14]) and especially in groundwater modelling. Razavi et al [5] and Asher et al [2] performed an extended review of surrogate model applications in water resources field.…”

Section: Related Workmentioning

confidence: 99%

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Kopsiaftis

Protopapadakis

Voulodimos

et al. 2019

Computational Intelligence and Neuroscience

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Accurate prediction of the seawater intrusion extent is necessary for many applications, such as groundwater management or protection of coastal aquifers from water quality deterioration. However, most applications require a large number of simulations usually at the expense of prediction accuracy. In this study, the Gaussian process regression method is investigated as a potential surrogate model for the computationally expensive variable density model. Gaussian process regression is a nonparametric kernel-based probabilistic model able to handle complex relations between input and output. In this study, the extent of seawater intrusion is represented by the location of the 0.5 kg/m3 iso-chlore at the bottom of the aquifer (seawater intrusion toe). The initial position of the toe, expressed as the distance of the specific line from a number of observation points across the coastline, along with the pumping rates are the surrogate model inputs, whereas the final position of the toe constitutes the output variable set. The training sample of the surrogate model consists of 4000 variable density simulations, which differ not only in the pumping rate pattern but also in the initial concentration distribution. The Latin hypercube sampling method is used to obtain the pumping rate patterns. For comparison purposes, a number of widely used regression methods are employed, specifically regression trees and Support Vector Machine regression (linear and nonlinear). A Bayesian optimization method is applied to all the regressors, to maximize their efficiency in the prediction of seawater intrusion. The final results indicate that the Gaussian process regression method, albeit more time consuming, proved to be more efficient in terms of the mean absolute error (MAE), the root mean square error (RMSE), and the coefficient of determination (R2).

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“…The authors of the work [9] propose to perform the modelling of hydrogeologic regime change with the use of the Monte Carlo method, which shows the best results in integrated modelling of such processes.…”

Section: The Overview Of Researchmentioning

confidence: 99%

Prediction of changes in the state of the geological environment in the mining region

Bubnova

2019

E3S Web Conf.

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The mining industry is fundamental in the violation of the natural environment and the creation of technogenic. Due to the fact that the natural, disturbed and technogenic environments are in direct contact with each other, there are a number of interrelations between them that affect the general state of the environment. It is shown that the interaction of disturbed and technogenic arrays with the natural geological environment leads to the development of negative processes in the form of landslides, flooding and drainage of territories. In turn, these negative processes lead to the formation of secondary disturbances in the natural environment and directly in disturbed and technogenic arrays - additional sedimentation and deformation of rocks, the formation of dips. The main reason for the development of such hazardous processes is the violation of the hydrogeological regime in the vast territories adjacent to the mine workings. Studies of the hydrogeological and hydrological regimes in disturbed and technogenic arrays are given. The processes of landslide formation and their causes in quarries and in dumps of enterprises mining various types of minerals are considered.

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Metamodel-assisted analysis of an integrated model composition: An example using linked surface water – groundwater models

Cited by 13 publications

References 57 publications

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

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

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Prediction of changes in the state of the geological environment in the mining region

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