Remote sensing for diagnosing vapor dispersion in spills of liquid energy fuels



Publisher: Dept. of Energy, Lawrence Livermore Laboratory, Publisher: for sale by the National Technical Informtion Service] in [Livermore, Calif.], [Springfield, Va

Written in English
Published: Pages: 50 Downloads: 779
Share This

Subjects:

  • Liquefied natural gas.,
  • Vapors -- Remote sensing.

Edition Notes

StatementL. G. Multhauf, A. M. Frank, R. O. Koopman.
SeriesUCID ; 18237, UCID -- 18237.
ContributionsFrank, A. M., Koopman, R. P., United States. Dept. of Energy., Lawrence Livermore Laboratory.
The Physical Object
Paginationiii, 50 p. :
Number of Pages50
ID Numbers
Open LibraryOL17650361M

Detection, Analysis, and Remote Sensing of Oil Spills Special instruments are sometimes required to detect an oil spill, especially if the slick is very thin or not clearly visible. For example, if a spill occurs at night, in ice, or among weeds, the oil slick must be detected and tracked using instruments onboard aircraft, satellites, or. EPA/ July OIL SPILL AND OIL POLLUTION REPORTS November - January by Penelope Melvin and Robin M. Ross Marine Science Institute University of California Santa Barbara, California Grant No. R Project Officer J. S. Dorrler Oil & Hazardous Materials Spills Branch Industrial Environmental Research Laboratory-Cincinnati Edison, New Jersey . Weatherproof cap for use with toxic detector including remote gassing nozzle (for Sensepoint, Signalpoint, Satellite (with adapter), XNX MPD and Series ) FAQ's Gas detection technology can be complicated, and we always get questions about our products and services. Here is a list of some of the more common questions. discrete bundles of energy called ‘photons’ or ‘quanta’. – The size of each unit is proportional to frequency – And is a measure of the energy at that frequency – Everything > 0 K emits energy • Energy is subsequently re-emitted emitted at longer wavelength at longer wavelength Q (radiant energy.

6(5). Entry # C DEVELOPMENT OF AN EXPERIMENTAL AIRBORNE LASER REMOTE SENSING SYSTEM FOR THE DETECTION AND CLASSIFICATION OF OIL SPILLS Fantasia, J. F., and H. C. Ingrao. International Symposium on Remote Sensing of Environment, 9th, Ann Arbor, Vol.3, p. Remote sensing of the vertical distribution of atmospheric water vapor from the TOVS observations: Method and validation. Jean‐Pierre Chaboureau. Search for more papers by this author. Alain Chédin. Search for more papers by this author. Noëlle A. Scott. Description of Remote Sensing Systems Version-7 Geophysical Retrievals WATER VAPOR summary for V6 (black) and V7 (red) is shown to the LEFT. Panel (A) shows global mean time series and the V7-V6 (blue) difference time series offset from zero by mm. Panel (B) shows zonal averages. Panel (C) shows probability distribution functions. dispersion model required in 49 CFR (promulgated in ) was a line-source Gaussian (passive) dispersion model (“the MTB model”; Arthur D. Little, Inc., ) which did not account for LNG vapor negative buoyancy (LNG vapor, because of its low temperature, can be denser than air).

The 25VS chemi-resistive flammable vapor sensor is an integral part of the Flammable Vapor Ignition Resistance (FVIR) systems offered by the North American water heater manufactures on residential power vent and high efficiency atmospheric models. The proprietary conductive polymer sensing film expands in the presence of flammable vapors significantly changing sensor resistance.   Cited by EPA in its document, "Off-Site Consequence Analysis Guidance," the aim of the book is to encourage and facilitate the development and use of dispersion modeling as an everyday tool, providing practical understanding of basic physical and chemical principles, guidance in selecting release scenarios and the best available models. and expensive processes [14, 15]. Other important methods include vapor, melt and vapor-liquid-solid (VLS) techniques. Growth from the vapor is attractive for a number of reasons [7]: 1. Vapor-grown crystals have lower concentrations of impurities due to lower growth temperatures and minimal contact with surfaces other than the substrate. Oil Spill Detection: Remote Sensing Equipment Tested Photo: OSRL The latest in satellite, airborne and in-water surveillance and communications equipment were recently put to work off the coast of England for an exercise aiming to determine how remote sensing technologies can help identify and monitor oil spills at sea more effectively.

Remote sensing for diagnosing vapor dispersion in spills of liquid energy fuels Download PDF EPUB FB2

Get this from a library. Remote sensing for diagnosing vapor dispersion in spills of liquid energy fuels. [A M Frank; R O Koopman; United States.

Department of Energy. Remote sensing for diagnosing vapor dispersion in spills of liquid energy fuels. Ronald P Koopman. The measurement of gas concentrations in Liquid Energy Fuel (LEF) dispersion clouds by remote. Journal of Wind Engineering and Industrial Aerodynamics, 10 () 1 Elsevier Scientific Publishing Company, Amsterdam -- Printed in The Netherlands DISPERSION OF VAPOR FROM LIQUID NATURAL GAS SPILLS -- EVALUATION OF SIMULATION IN A METEOROLOGICAL WIND TUNNEL: FIVE-CUBIC-METER CHINA LAKE SPILL SERIES R.N.

MERONEY and D.E. NEFF Cited by: 6. Dear Colleagues. This is an invitation to contribute to the Special Issue, “Remote Sensing of Atmospheric Components and Water Vapor”, regarding the retrieval, analysis and validation of atmospheric components (gases) by remote sensing technique: Water vapor (H 2 O(v)), CO 2 and CH4 as representatives of greenhouse gases; SO 2, NO 2, CO, HCHO, as main trace gases, and.

The term "vapor cloud" used in this paper is assumed to mean both a puff of vapor and a plume. ** We have modeled a variety of chemical release modes and sources (pressurized liquid release, instantaneous & continuous, cryogenic liquid release, gas release, etc.).

- The details of these sources and models to determine source CodalAuthor: Phani K Raj, John A Morris, Bruce A Kunkel. OIL SPILL REMOTE SENSING: CHAPTER 1 This is the first chapter in series of articles that goes into the remote sensing of oil spills.

This series will cover oil spill remote sensing step by step and will present the latest in knowledge on the topic. Remote-sensing for oil spills is covered in this series. The report describes a field experiment which evaluated the remote sensing of hydrocarbon concentrations in the dispersing cloud of gas produced by a spill of LNG using a.

The authors measured α for a suite of compounds and different sizes of spill. They found that α can be estimated for hydrocarbons containing only C, H, and O with the equation: α= VP+ SA/Vol, where VP is the vapor pressure of the liquid and SA/Vol is the surface area to volume ratio.

CHAPTER 2. REMOTE SENSING TO DETECT ILLEGAL DISCHARGES 13 A historical introduction 13 Types of satellites used to detect oil discharges 14 Current state of remote sensing technologies 16 Synthetic Aperture Radar (SAR) 17 Side-Looking Airborne Radar (SLAR) 18 Infrared and Ultraviolet Scanner (IR/UV) Detecting cancer at an early stage of disease progression promises better treatment outcomes and longer lifespans for cancer survivors.

Research has been directed towards the development of accessible and highly sensitive cancer diagnostic tools, many of which rely on protein biomarkers and biomarker panels which are overexpressed in body fluids and associated with different types of cancer. - Analysis, Detection, and Remote Sensing of Oil Spills Special instruments are sometimes required to detect an oil spill, especially if the slick is very thin or not clearly visible.

For example, if a spill occurs at night, in ice, or among seaweeds, the oil slick must be detected and tracked using instruments onboard aircraft or satellites. Staelin DH, Kunzi KF, Pettyjohn RL, Poon RKL, Wilcox RW, Waters JW () Remote sensing of atmospheric water vapor and liquid water with the Nimbus 5 microwave spectrometer.

J Appl Meteor – CrossRef Google Scholar. dispersion, have been widely carried out using on site meas-urements and by using various mathematical models. The use of remote sensing arises in those areas where the basic infrastructures are not found and they are remotely lo-cated.

According to United Nations the remote sensing is defined as the sensing of the Earth’s surface from space by. Remote sensing can help in preparing various kinds of disaster management products including an Oil Spill Location Map, an Oil Spill Trajectory Map and an Oil Spill Risk Map.

Decision makers and responders for oil spills should be well aware of the advantages and limitations of various remote sensing technologies.

The Vapor Sensor detects hydrocarbon vapor exceeding the programmed threshold limit in the monitoring well. Detect dangerous hydrocarbon vapors in dry monitoring wells.

When vapors exceed a programmed threshold, the Vapor Sensor sends an audible and visual signal to a Veeder-Root automatic tank gauge console telling you where the problem is, so. research addresses remote sensing, especially hyperspectral image analysis applicable to the Chesapeake Bay.

This case study is a prototype of oil spill leaks in Patuxent River in Maryland (Darrell and Brebbia, ) and the associated image analysis for detecting oil spills using hyperspectral imagery and the effect of oil contaminants. REMOTE SENSING "Remote sensing is the science (and to some extent, art) of acquiring information about the Earth's surface without actually being in contact with it.

This is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information" (12). Energy Source or Illumination (A) 2. In summary, radar optimized for oil spills is useful in oil spill remote sensing, particularly for searches of large areas and for night-time or foul weather work.

The technique is highly prone to false targets, however, and is limited to a narrow range of wind speeds (–10 m/s). By definition, remote sensing implies that a sensor, other than the eye, is used to detect the target of interest at some distance. The most common form of remote sensing as applied to oil spills is airborne remote sensing - that is using aircraft as a platform.

Visual observation - regardless ofthe platform used, is by definition, not remote. energy bands. Remote sensing technologies presently employed by the oil spill response community utilize the UV, Visible, TIR and Microwave energy bands (fig. There are two types of remote sensing systems, passive and active.

Passive remote sensing systems record energy naturally radiated or reflected from an object. The wavelength bands used in remote sensing systems are usually designed to fall within these windows to minimize the atmospheric absorption effects.

These windows are found in the visible, near-infrared, certain bands in thermal infrared and the microwave regions. Effects of Atmospheric Absorption on Remote Sensing Images.

Remote sensing of oil spills in conjunction with their prevention and combat has long since evolved into a key element for the protection of the marine environment.

The impact of oil spills caused by ship traffic and platform discharges has induced decision makers worldwide to establish airborne pollution surveillance services. Detecting Offshore Oil Spills Using Satellite Data: A Case Study in the Gulf of Mexico Octo Satelytics can detect offshore oil spills long before they become disasters while saving product and minimizing remediation and regulatory consequences.

remote sensing is % larger than that of sounding water vapor (Xiang et al., ). The correlation between GPS-PWV and RS-PWV decreases on the day of precipitation, and it is increased without precipitation (Wang et al., ).

This edition of Evapotranspiration - Remote Sensing and Modeling contains 23 chapters related to the modeling and simulation of evapotranspiration (ET) and remote sensing-based energy balance determination of ET. These areas are at the forefront of technologies that quantify the highly spatial ET from the Earth's surface.

The topics describe mechanics of ET simulation from partially. D Gas Dispersion COMPETENCE IN GAS DETECTION STL Monitoring Atmospheric Water Vapour: Ground-Based Remote Sensing and In-situ Methods (ISSI Scientific Report Series (10)) [Kämpfer, Niklaus] on *FREE* shipping on qualifying offers.

Monitoring Atmospheric Water Vapour: Ground-Based Remote Sensing and In-situ Methods (ISSI Scientific Report Series (10)). IntechOpen is a leading global publisher of Journals and Books within the fields of Science, Technology and Medicine.

We are the preferred choice of o authors worldwide. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources Martha C. Anderson a,⁎, Richard G. Allen b, Anthony Morse c, William P.

Kustas a a USDA-ARS, Hydrology and Remote Sensing Lab, Bldg.BARC West, Beltsville, MDUnited States b University of Idaho, Kimberly Research and Extension Center, Kimberly, IDUnited States. @article{osti_, title = {Toward an operational water vapor remote sensing system using the global positioning system}, author = {Gutman, S I and Chadwick, R B and Wolf, d W and Simon, A and Van Hove, T and Rocken, C}, abstractNote = {Water vapor is one of the most important constituents of the free atmosphere since it is the principal mechanism by which moisture and latent heat are.

Thermal Infrared Remote Sensing Thermal infrared energy is emitted from all objects that have a temperature greater than absolute zero. Therefore, all the features we encounter in the landscape on a typical day (Sun, vegetation, soil, rocks, water, and even .1 Remote Sensing Systems to Detect and Analyze Oil Spills on the US Outer Continental Shelf – A State of the Art Assessment Final Report.

31 Jan, Authors: Derek Burrage (P.I.)*, Sonia Gallegos, Joel Wesson, Richard Gould, Richard Crout and Sean McCarthy.Meroney, R. N. and Neff, D. E., LABORATORY SIMULATION OF LIQUID NATURAL GAS VAPOR DISPERSION OVER LAND OR WATER, Proceedings of Fifth International Conference on Wind Engineering, Colorado State University, Fort Collins, Colorado, July, pp.CEPRNM-DEN25, (Reviewed paper).