Deterministic sensitivity analysis for a model for flow in porous media

Marchand, Estelle; Clément, François; Roberts, Jean E.; Pépin, Guillaume

doi:10.1016/j.advwatres.2008.04.004

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…Deterministic sensitivity analysis assesses the sensitivity of a model’s outputs to externally-generated values of the model’s inputs (see [ 44 ]). Haas [ 8 , pp.…”

Section: Methodsmentioning

confidence: 99%

Developing political-ecological theory: The need for many-task computing

Haas

2020

PLoS ONE

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Models of political-ecological systems can inform policies for managing ecosystems that contain endangered species. To increase the credibility of these models, massive computation is needed to statistically estimate the model’s parameters, compute confidence intervals for these parameters, determine the model’s prediction error rate, and assess its sensitivity to parameter misspecification. To meet this statistical and computational challenge, this article delivers statistical algorithms and a method for constructing ecosystem management plans that are coded as distributed computing applications. These applications can run on cluster computers, the cloud, or a collection of in-house workstations. This downloadable code is used to address the challenge of conserving the East African cheetah (Acinonyx jubatus). This demonstration means that the new standard of credibility that any political-ecological model needs to meet is the one given herein.

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“…Deterministic sensitivity analysis assesses the sensitivity of a model’s outputs to externally-generated values of the model’s inputs (see [ 44 ]). Haas [ 8 , pp.…”

Section: Methodsmentioning

confidence: 99%

Developing political-ecological theory: The need for many-task computing

Haas

2020

PLoS ONE

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“…Deterministic sensitivity analysis as opposed to probabilistic sensitivity analysis, assesses the sensitivity of a model’s outputs to externally-generated, fixed values of the model’s inputs (see [52]). Haas [7, pp.…”

Section: Methodsmentioning

confidence: 99%

Developing political-ecological theory: The need for Many-Task Computing

Haas

2019

Preprint

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8Models of political-ecological systems can inform policies for managing ecosystems that 9 contain endangered species. One way to increase the credibility of these models is to 10 subject them to a rigorous suite of data-based statistical assessments. Doing so involves 11 statistically estimating the model's parameters, computing confidence intervals for these 12 parameters, determining the model's prediction error rate, and assessing its sensitivity to 13 parameter misspecification. 14 Here, these statistical algorithms along with a method for constructing politically fea-15 sible policies from a statistically fitted model, are coded as JavaSpaces TM programs that 16 run as compute jobs on either supercomputers or a collection of in-house workstations. 17 Several new algorithms for implementing such jobs in distributed computing environments 18 are described. 19 This downloadable code is used to compute each job's output for the management 20 challenge of conserving the East African cheetah (Acinonyx jubatus). This case study shows 21 that the proposed suite of statistical tools can be run on a supercomputer to establish the 22 credibility of a managerially-relevant model of a political-ecological system that contains 23 one or more endangered species. This demonstration means that the new standard of 24 credibility that any political-ecological model needs to meet before being used to inform 25 ecosystem management decisions, is the one given herein. 26 1 27 Keywords: social-ecological systems; ecosystem policymaking; agent-based modeling; 28 high performance computing; sensitivity analysis; statistical estimation of large models 29 1 Introduction 30There is a need to acknowledge the complexity of political-ecological systems and the signif-31 icant challenges to building theories of them [1]. Such systems lie at the interface between 32 social/political science and ecology. The complexity of each of these fields coupled with an 33 additional layer of complexity introduced by the interactions between sociological/political 34 systems and natural systems can result in highly complex system dynamics, i.e., ones that 35 are stiff, nonlinear, and possess feedback loops. For example, Schoon and Van der Leeuw [2] 36 note that systems composed of interacting sociological and ecological subsystems are quick 37 to change and rarely stay in equilibrium for long. Further, many state variables are needed 38 to describe both the decision making processes of the relevant social groups, and the func-39 tioning of the involved ecosystem. A political-ecological system is also referred to as a 40 socio-ecological system or social-ecological system (e.g., see [3]). The former term is em-41 phasized herein because those political actions and processes that drive social movements 42 are often initiated by groups seeking to gain increased political power [4]. Building such 43 models is more than an academic exercise. Indeed, the alarming decline in the planet's 44 biodiversity [5], creates a crucial need for credible politi...

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“…The use of the covariance matrix V of the parameters estimates to define the confidence region has been proven useful in many applications that use nonlinear models [31,36,37]. However, the direct determination of V, for example via a Monte Carlo method, would be computationally taxing even for a small number of parameters.…”

Section: Optimization Of Model-based Experimentsmentioning

confidence: 99%

Reducing error and measurement time in impedance spectroscopy using model based optimal experimental design

Ciucci

Carraro

Chueh

et al. 2011

Electrochimica Acta

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a b s t r a c tIn this work we introduce several novel tools for the reduction of errors in parameters estimated with electrochemical impedance spectroscopy experiments. An optimization strategy is developed that minimizes an estimate of the errors on the parameters while bounding the experimental time. The approach is also used to reduce experimental time while keeping a bound on the parameter errors. This feature is particularly critical in systems changing significantly within the experimental time. The paper uses a fuel cell electrode model to test this methodology and presents a real time algorithm for coupling experiment with the parameter estimation and experimental optimization.

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Deterministic sensitivity analysis for a model for flow in porous media

Cited by 10 publications

References 30 publications

Developing political-ecological theory: The need for many-task computing

Developing political-ecological theory: The need for many-task computing

Developing political-ecological theory: The need for Many-Task Computing

Reducing error and measurement time in impedance spectroscopy using model based optimal experimental design

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