Data reconciliation of an open channel flow network using modal decomposition

Wu, Qing; Litrico, Xavier; Bayen, Alexandre M.

doi:10.1016/j.advwatres.2008.10.009

Cited by 13 publications

(7 citation statements)

References 26 publications

(36 reference statements)

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“…It should be noted that there were no USGS Eulerian measurements available that can be used as boundary conditions in the experimental domain. Therefore, we use the data reconciliation method developed in (Wu, Litrico, & Bayen, ) to get an estimation of discharges, and pose it to be the first guess of the data assimilation process in this section.…”

Section: Performance Evaluationmentioning

confidence: 99%

Heterogeneous Fleets of Active and Passive Floating Sensors for River Studies

Tinka

Weekly

et al. 2015

J. Field Robotics

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Lagrangian sensing for tracing hydrodynamic trajectories is an innovative approach for studying estuarial environments. Actuated Lagrangian sensors are capable of avoiding obstacles and navigating when active and retain a passive hydrodynamic profile that is suited for Lagrangian sensing when passive. A heterogeneous fleet of actuated and passive drifting sensors is presented. Data assimilation using a high-performance computing (HPC) cluster that runs the ensemble Kalman filter (EnKF) is an essential component of the estuarial state estimation system. The performance of the mixed capability fleet and the data assimilation backend is evaluated in the context of a landmark 96-unit river study in the Sacramento-San Joaquin Delta region of California. C 2015Wiley Periodicals, Inc.Passive drifters have proved very successful for oceanographic applications, where fixed infrastructure can be impractical to install. A logical extension of the oceanographic research in Lagrangian sensing is to develop sensors for nearshore environments such as rivers and bays. Lagrangian sensors can be used in this context to better monitor the flow of freshwater and the transport of constituents therein. Specific examples include assessing vulnerabilities to contaminant spills or infrastructure failure in Journal of Field Robotics DOI 10.1002/rob Tinka et al.: Heterogeneous Fleets of Active and Passive Floating Sensors • 3 Contributions of this ArticleThis article presents a system-level description of a heterogeneous FSN, including actuated drifters, passive drifters, and communication relays; the description of a field operation to demonstrate system functionality and to validate core assumptions about drifter operations in estuarial environments; an analysis of the utility of the actuation capability of the active component of the fleet; the design and implementation of a back-end data assimilation server cluster; and an analysis of the assimilation system performance and output using the data gathered in these experiments. This experiment represents a significant step in the deployment of autonomous floating robotics systems in unstructured natural environments. To our knowledge, this experiment is the first of its kind in the field of estuarial hydrodynamics Journal of Field Robotics

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Section: Performance Evaluationmentioning

confidence: 99%

Heterogeneous Fleets of Active and Passive Floating Sensors for River Studies

Tinka

Weekly

et al. 2015

J. Field Robotics

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“…For example, small sensor networks used in farming have fewer nodes with more resources [1]; traffic load may be significantly higher in multimedia sensor networks [2]; links are more unreliable in underwater sensor networks [3]; whereas at the other extreme, in some WSNs (e.g. the floating sensors project [4]), cell phones are used as sensor nodes and the cellular network provides a centralized infrastructure for communication.…”

Section: Introductionmentioning

confidence: 99%

A general model for MAC protocol selection in wireless sensor networks

Asudeh

Záruba

Das³

2016

Ad Hoc Networks

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Wireless Sensor Networks (WSNs) are being deployed for different applications, each having its own structure, goals and requirements. Medium access control (MAC) protocols play a significant role in WSNs and hence should be tuned to the applications. However, there is no for selecting MAC protocols for different situations. Therefore, it is hard to decide which MAC protocol is good for a given situation. Having a precise model for each MAC protocol, on the other hand, is almost impossible. Using the intuition that the protocols in the same behavioral category perform similarly, our goal in this paper is to introduce a general model that selects the protocol(s) that satisfy the given requirements from the category that performs better for a given context. We define the Combined Performance Function (CPF) to demonstrate the performance of different categories protocols for different contexts. Having the general model, we then discuss the model scalability for adding new protocols, categories, requirements, and performance criteria. Considering energy consumption and delay as the initial performance criteria of the model, we focus on deriving mathematical models for them. The results extracted from CPF are the same as the well-known rule of thumb for the MAC protocols that verifies our model. We validate our models with the help of simulation study. We also implemented the current CPF model in a web page to make the model online and useful.

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“…Unfortunately, these measurements at large watershed have their intrinsic limitations, specifically small coverage and sparse sampling [ Molcard et al ., ]. Furthermore, installed Eulerian sensors have often experienced many failures, such as broken gauges, sensor drifts, improper use of measuring devices, and other random sources [ Albuquerque and Biegler , ; Wu et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Variational Lagrangian data assimilation in open channel networks

Tinka

Weekly

et al. 2015

Water Resources Research

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This article presents a data assimilation method in a tidal system, where data from both Lagrangian drifters and Eulerian flow sensors were fused to estimate water velocity. The system is modeled by first-order, hyperbolic partial differential equations subject to periodic forcing. The estimation problem can then be formulated as the minimization of the difference between the observed variables and model outputs, and eventually provide the velocity and water stage of the hydrodynamic system. The governing equations are linearized and discretized using an implicit discretization scheme, resulting in linear equality constraints in the optimization program. Thus, the flow estimation can be formed as an optimization problem and efficiently solved. The effectiveness of the proposed method was substantiated by a large-scale field experiment in the Sacramento-San Joaquin River Delta in California. A fleet of 100 sensors developed at the University of California, Berkeley, were deployed in Walnut Grove, CA, to collect a set of Lagrangian data, a time series of positions as the sensors moved through the water. Measurements were also taken from Eulerian sensors in the region, provided by the United States Geological Survey. It is shown that the proposed method can effectively integrate Lagrangian and Eulerian measurement data, resulting in a suited estimation of the flow variables within the hydraulic system.

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Data reconciliation of an open channel flow network using modal decomposition

Cited by 13 publications

References 26 publications

Heterogeneous Fleets of Active and Passive Floating Sensors for River Studies

Heterogeneous Fleets of Active and Passive Floating Sensors for River Studies

A general model for MAC protocol selection in wireless sensor networks

Variational Lagrangian data assimilation in open channel networks

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