Quantitative Uncertainty Of Chemical Plume Transport In Low Wind Speeds Using Measured Field Data And Stochastic Modeling PDF Download

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Quantitative Uncertainty of Chemical Plume Transport in Low Wind Speeds Using Measured Field Data and Stochastic Modeling

Quantitative Uncertainty of Chemical Plume Transport in Low Wind Speeds Using Measured Field Data and Stochastic Modeling
Author: Veronica Elaine Wannberg
Publisher:
Total Pages: 66
Release: 2008
Genre: Bivectors
ISBN:

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An unexpected finding is the fact that the vertical dimension of wind movement cannot be ignored in low wind speed conditions. When planning future experiments, special attention should be paid to obtaining a good representation of the 3-D wind profile.


Project Sagebrush Phase 2

Project Sagebrush Phase 2
Author: Dennis Delane Finn
Publisher:
Total Pages: 392
Release: 2017
Genre: Atmosphere
ISBN:

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The Field Research Division of the Air Resources Laboratory of the National Oceanic and Atmospheric Administration, in collaboration with the Laboratory for Atmospheric Research at Washington State University, conducted a series of tracer field experiments at the Idaho National Laboratory. The emphasis of these tracer experiments was plume dispersion in low wind speed conditions. Four tests were conducted during the daytime in unstable conditions in July and August of 2016. Four additional tests were conducted in October at nighttime in the very stable boundary layer. The field study was designated Project Sagebrush Phase 2 (PSB2), the second in a series that began with PSB1 in October, 2013. Each experimental period consisted of a continuous 2.5 h SF6 point source tracer release from 1.5 m agl with consecutive 10 min average bag sampling over the last 2 h of the tracer release period. Sampling resources were limited. The main motivation was to provide good resolution of the plume at a minimum of three downwind distances and allow for some vertical sampling when possible. Bag sampling was done across 210o of arc at 100, 200, and 400 m downwind at 6o spacing. The daytime tests also included sampling along 90o of arc at 800 m and one mobile tower up to 25 m agl. The nighttime tests did not use the 800 m arc but deployed samplers on the mobile tower as well as four additional fixed towers. The bag sampling was complemented by four fast response tracer analyzers and an extensive suite of meteorological measurements of wind, turbulence, and temperature in the horizontal and vertical. This PSB2 study provides a dataset with a unique combination of higher resolution (10 min) time-averaged bag sampling, fast response tracer sampling, and extensive meteorological measurements for examining plume dispersion in low wind conditions in an open terrain setting. This is particularly the case for analyzing plume structure and dispersion in the very stable boundary layer. Wind directions were such that not all of the eight tests (Intensive Observation Periods) were successful due to the 210o arc limitation. Daytime IOPs 1 and 2 and nighttime IOPs 5 and 7 were largely successful with relatively minimal plume truncation (edge effects) with respect to the sampling arcs. These should provide good cases for testing plume models and IOPs 5 and 7 are particularly interesting for what they indicate about horizontal dispersion in the very stable boundary layer. IOPs 3 and 8 were more qualified successes. IOPs 4 and 6 had severe edge effects although some useful data can probably be gleaned from them. A key result from PSB2 regards the uncertainty in tracer measurements. It was found that measurement uncertainty related to plume stochastic factors increases with decreasing downwind distance from the source and is about twice as large in the very stable boundary layer as it is during the daytime. This result has implications on how to account for uncertainties in mean concentration and the probability distribution of concentration in plume dispersion models. [doi:10.7289/V5/TM-OAR-ARL-275 (https://doi.org/10.7289/V5/TM-OAR-ARL-275)]


Optimized Field Sampling and Monitoring of Airborne Hazardous Transport Plumes ; A Geostatistical Simulation Approach

Optimized Field Sampling and Monitoring of Airborne Hazardous Transport Plumes ; A Geostatistical Simulation Approach
Author:
Publisher:
Total Pages: 27
Release: 2001
Genre:
ISBN:

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Airborne hazardous plumes inadvertently released during nuclear/chemical/biological incidents are mostly of unknown composition and concentration until measurements are taken of post-accident ground concentrations from plume-ground deposition of constituents. Unfortunately, measurements often are days post-incident and rely on hazardous manned air-vehicle measurements. Before this happens, computational plume migration models are the only source of information on the plume characteristics, constituents, concentrations, directions of travel, ground deposition, etc. A mobile ''lighter than air'' (LTA) system is being developed at Oak Ridge National Laboratory that will be part of the first response in emergency conditions. These interactive and remote unmanned air vehicles will carry light-weight detectors and weather instrumentation to measure the conditions during and after plume release. This requires a cooperative computationally organized, GPS-controlled set of LTA's that self-coordinate around the objectives in an emergency situation in restricted time frames. A critical step before an optimum and cost-effective field sampling and monitoring program proceeds is the collection of data that provides statistically significant information, collected in a reliable and expeditious manner. Efficient aerial arrangements of the detectors taking the data (for active airborne release conditions) are necessary for plume identification, computational 3-dimensional reconstruction, and source distribution functions. This report describes the application of stochastic or geostatistical simulations to delineate the plume for guiding subsequent sampling and monitoring designs. A case study is presented of building digital plume images, based on existing ''hard'' experimental data and ''soft'' preliminary transport modeling results of Prairie Grass Trials Site. Markov Bayes Simulation, a coupled Bayesian/geostatistical methodology, quantitatively combines soft information regarding contaminant location with hard experimental results. Soft information is used to build an initial conceptual image of where contamination is likely to be. As experimental data are collected and analyzed, indicator kriging is used to update the initial conceptual image. The sequential Gaussian simulation is then practiced to make a comparison between the two simulations. Simulated annealing is served as a postprocessor to improve the result of Markov Bayes simulation or sequential Gaussian simulation.


Publications Abstracts

Publications Abstracts
Author: Environmental Research Laboratories (U.S.)
Publisher:
Total Pages: 240
Release: 1989
Genre: Environmental policy
ISBN:

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Pollution Abstracts

Pollution Abstracts
Author:
Publisher:
Total Pages: 682
Release: 1996
Genre: Air
ISBN:

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Indexes material from conference proceedings and hard-to-find documents, in addition to journal articles. Over 1,000 journals are indexed and literature published from 1981 to the present is covered. Topics in pollution and its management are extensively covered from the standpoints of atmosphere, emissions, mathematical models, effects on people and animals, and environmental action. Major areas of coverage include: air pollution, marine pollution, freshwater pollution, sewage and wastewater treatment, waste management, land pollution, toxicology and health, noise, and radiation.


Atmospheric Boundary Layer Flows

Atmospheric Boundary Layer Flows
Author: J. C. Kaimal
Publisher: Oxford University Press, USA
Total Pages: 304
Release: 1994
Genre: Nature
ISBN: 0195062396

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This text gives a simple view of the structure of the boundary layer, the instruments available for measuring its mean and turbulent properties, how best to make the measurements, and ways to process and analyze the data.


Near-Shore Hydrodynamic Conditions and Chemical Plume Tracking

Near-Shore Hydrodynamic Conditions and Chemical Plume Tracking
Author:
Publisher:
Total Pages: 5
Release: 2004
Genre:
ISBN:

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We characterize the hydrodynamic conditions relevant to a bottom source plume in a nearshore environment. Analyzing a dye concentration data set collected by a state of the art autonomous underwater vehicle and fixed hydrodynamic measurements, we quantify the meandering and lateral dispersion of a plume. We find that both processes are important to ultimate plume fate and transport. The lateral dispersion is governed by a scale-dependent processes that is driven by three-dimensional turbulence in the near field and two-dimensional turbulence in the far field. This project also demonstrates the importance of wave-induced transport in the near shore. We find that it can be significant at times and must be used to supplement measured Eulerian transport in order to accurately model cross-stream plume transport. Finally, we evaluate the accuracy of a bottom-racked acoustic Doppler current profiler and show that in certain circumstances, there is the potential for a bias error.