Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer

Todaro, Valeria; D’Oria, Marco; Tanda, Maria Giovanna; Gómez‐Hernández, J. Jaime

doi:10.1016/j.jhydrol.2021.126215

Cited by 31 publications

(14 citation statements)

References 58 publications

(66 reference statements)

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“…Finally, another group of papers attempts to identify an unknown continuous-time function that describes the release. This group starts with the one-dimensional case by Skaggs and Kabala (1994) for which the location was known, and continues with papers in higher dimensions and the simultaneous identification of the source location (Todaro et al 2021).…”

Section: Time Dependencymentioning

confidence: 99%

Contaminant Source Identification in Aquifers: A Critical View

Gómez‐Hernández

2021

Math Geosci

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Forty years and 157 papers later, research on contaminant source identification has grown exponentially in number but seems to be stalled concerning advancement towards the problem solution and its field application. This paper presents a historical evolution of the subject, highlighting its major advances. It also shows how the subject has grown in sophistication regarding the solution of the core problem (the source identification), forgetting that, from a practical point of view, such identification is worthless unless it is accompanied by a joint identification of the other uncertain parameters that characterize flow and transport in aquifers.

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Section: Time Dependencymentioning

confidence: 99%

Contaminant Source Identification in Aquifers: A Critical View

Gómez‐Hernández

2021

Math Geosci

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“…At present, inverse identification has been widely applied in heat transfer 17,18 and pollutant propagation in water environment. [19][20][21] In a built environment, there are similar applications. 22 Research on the inverse problem of pollution source identification in the cabin environment could provide an effective way to effectively inhibit the spread of diseases and ensure the health level of passengers, also would provide preventive measures to reduce the potential safety risks in the aircraft, so that the aircraft has the ability of "self-protection", so as to protect passengers from various health threats.…”

Section: Introductionmentioning

confidence: 99%

“…At present, inverse identification has been widely applied in heat transfer 17,18 and pollutant propagation in water environment. 19–21 In a built environment, there are similar applications. 22…”

Section: Introductionmentioning

confidence: 99%

Inverse identification model for release rates of multiple gaseous pollution sources in an aircraft cabin

Lei

Liu

2023

Indoor and Built Environment

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When gaseous pollutants are airborne in an aircraft cabin, it is important to know the release rate of pollution sources efficiently and accurately for effective mitigation. At present, it is possible to locate single or multiple pollution sources using the sensor information, but there is no fast and accurate method to determine the strength of multiple pollution sources. In this study, using the monitored pollutant concentrations, with the assumption that the location of multiple pollution sources in an aircraft cabin is known, an inverse model for determining the release rates was established. In order to improve the calculation efficiency, the cause-effect matrix between the release rates of pollution sources and the concentrations of monitored points was obtained by introducing the contribution ratio of pollutant sources (CRPS) method. Due to the direct inversion of the cause-effect matrix being ill-posed, the Tikhonov regularization method was used to enhance the stability of the inverse solution. The inverse model was validated by experiment in a three-dimensional cavity with CO2 as a tracer gas. The method was further demonstrated in a three-dimensional aircraft cabin by simulated data. The results show that the inverse modelling can accurately and efficiently quantify release rates of multiple pollution sources.

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“…Two common ways to handle stability issue are regularization and stabilization methods (Skaggs and Kabala, 1994;Liu and Ball, 1999). The stochastic approaches (Woodbury and Ulrich, 1998;Butera et al, 2013;Cupola et al 2015;Gzyl et al 2015;Zanini and Woodbury, 2016;Xu and Gómez-Hernández, 2016;Todaro et al, 2021;Wang et al, 2022) consider the problem in a stochastic framework and the parameters to estimate become random variables. The optimization-based approaches consist of the integration of both simulation and optimization models.…”

Section: Introductionmentioning

confidence: 99%