Numerical simulation of methane flux measurements using lidar

Cover of: Numerical simulation of methane flux measurements using lidar |

Published by U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, For sale by the National Technical Information Service in Boulder, Colo, Springfield, VA .

Written in English

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Subjects:

  • Planetary boundary layer -- United States.,
  • Optical radar.

Edition Notes

Book details

StatementJames H. Churnside, Raymond Harrison.
SeriesNOAA technical memorandum ERL WPL -- 204.
ContributionsHarrison, Raymond., Environmental Research Laboratories (U.S.)
The Physical Object
FormatMicroform
Paginationiii, 28 p.
Number of Pages28
ID Numbers
Open LibraryOL17675615M

Download Numerical simulation of methane flux measurements using lidar

The authors propose a lidar system for remotely measuring methane flux in the atmospheric boundary layer. The concentration is measured using differential absorption lidar.

Vertical velocity is measured using aerosol-correlation lidar, and the flux estimates are obtained using the eddy-correlation technique. Numerical simulations using a Monte Carlo approach show measurement Author: James H.

Churnside, Raymond Harrison. Get this from a library. Numerical simulation of methane flux measurements using lidar. [James H Churnside; Raymond Harrison; Environmental Research Laboratories (U.S.)]. methane lidar mission C.

Kiemle1, S. Kawa2, M. Quatrevalet1, methane measurement sites all lead to less severerequirements for additional new observations to The MERLIN data will primarily be supplied to inverse numerical models [Basu et al., ; Bergamaschi et al., ] that use the globally observed concentration gradients to.

Results show that a lidar with an average optical power of W at µm wavelength and a telescope diameter of m, installed on a low Earth orbit platform ( km), will measure methane columns at precisions of %, %, and % over land, water, and snow or ice surfaces, respectively, for monthly aggregated measurement samples Cited by:   In this section, a numerical simulation is performed for the remote sensing of methane emissions by applying the OCS-lidar methodology.

A case study is presented and discussed, chosen to be relevant for applying the OCS-lidar methodology to the detection of methane point sources and methane diffuse emitters, as usually observed in refineries, rice paddies and gas pipeline lakes Cited by: 8.

Request PDF | OnH. Riris and others published The challenges of measuring methane from space with a lidar | Find, read and cite all the research you need on ResearchGate. Methane (CH 4) is an important greenhouse ons from landfills and waste treatment sites are regarded as the third largest anthropogenic source in the world.

Precise estimates of CH 4 emissions depend on a well-designed sampling procedure and detailed analyses. This study estimates CH 4 emissions from a waste treatment site by analyzing the data from a flight, which was.

The aim of this study was to investigate the possibility of measuring methane emission fluxes, using surface methane concentration and gauge pressure, by analyzing the influence of gauge pressure on the methane emission flux and the surface methane concentration, as well as the correlation between the methane emission flux and surface methane concentrations.

If proven successful, future active remote sensing using Lidar (Light Detection and Ranging), such as the Methane Remote Sensing Lidar Mission Merlin (Pierangelo et al., ), might alleviate these caveats and enable year-round measurements from pole to pole.

Active measurements Numerical simulation of methane flux measurements using lidar book unlikely to achieve true global coverage, however.

Fiber optic CW doppler lidar using a synthetic broadband source (Invited Paper) Paper YAG lasers providing high power output at nm for methane detection Paper Author(s): Lidar measurements of atmospheric temperature profiles. MERLIN (Methane Remote Sensing Lidar Mission) Minisatellite.

Spacecraft Launch Sensor Complement Ground Segment References. MERLIN is a Franco-German collaborative minisatellite climate mission. The primary objective is to obtain spatial and temporal gradients of atmospheric methane (CH 4) columns with high precision and unprecedented accuracy on a global scale.

In this paper we show the first direct measurements of turbulence heat flux and the associated thermal diffusion coefficient with a narrowband Na wind and temperature lidar located at Andes Lidar Observatory (ALO) in Cerro Pachón, Chile, (°S, °W).

Methane (CH4) and carbon dioxide (CO2) are the two most radiatively important greenhouse gases attributable to human activity.

Large uncertainties in their source and sink magnitudes currently exist. We estimate global methane surface emissions between andusing a top-down approach that combines observed and simulated atmospheric CH4.

Greenhouse Gas (GHG) emissions pose a global climate challenge and the mining sector is a large contributor.

Diurnal and seasonal variations of area-fugitive methane advective flux, released from an open-pit mine and a tailings pond, from a facility in northern Canada, were simulated in spring and winterusing the Weather Research and Forecasting (WRF) model. The measurements were used to test the ability of numerical models to reproduce the Alpine mountain–plain circulation.

The observed mass flux was compared to numerical simulations using the LM (mesh size and 7 km) and MM5 (mesh size 2 and 6 km) models. The lidar overlap function can introduce height-dependent biases in the lidar measurements.

However, Raman lidar water vapor measurements are performed using a ratio of signals from the water vapor and nitrogen channels (Whiteman b). The good agreement of the lidar measurements and radiosonde in the lowest levels implies that the lidar.

Using numerical simulation, possibilities of measurements of the turbulent energy dissipation rate with a pulsed coherent Doppler lidar (PCDL) are studied in the case of conical scanning with a. Their Methane Monitor is a differential-absorption lidar (DIAL) methane detection system that uses two lasers of slightly different infrared wavelengths to map the ground and measure atmospheric.

In this paper, the first experimental demonstration of the optical correlation spectroscopy lidar (OCS-lidar) is proposed. It is a new active remote sensing methodology to measure range-resolved atmospheric gas concentrations, based on broadband laser spectroscopy and light amplitude modulation.

As a first step, a numerical study is performed for OCS-lidar measurements to optimize the. The numerical results showed that concentrated solar irradiation affects reactor thermal performance, methane steam reforming chemical reaction rate and hydrogen production.

Gu et al. [16] analyzed heat transfer and storage performance of steam methane reforming in tubular reactor with focused solar simulator by measurement and simulation.

American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA Project 8 - Modeling and numerical simulation Project 9 - Studies of the application of laser (lidar) for atmospheric pollution measurements Project 10 - Design optimization of labyrinth seals.

Effect of Land Use on Methane Flux from Soil A. Chan and T. Parkin* ABSTRACT estimated to be to Tg CH 4 yr21, while the soil The precise effects of natural and disturbed terrestrial systems on sink is estimated to be in the range of 15 to 45 Tg CH.

His research focuses on (1) on-line measurement techniques of atmospheric turbulence flux for species like ammonia and methane, (3) nuclear accident consequences by numerical simulation of atmospheric turbulence and dispersion, and (3) engineering meteorology for nuclear power plants.

Methane (CH4) emission rates from a sample of natural gas facilities across industry sectors were quantified using the dual tracer flux ratio methodology. Measurements were conducted in study areas within the Fayetteville shale play, Arkansas (FV, Sept–Oct53 facilities), and the Denver-Julesburg basin, Colorado, (DJ, Nov21 facilities).

Distributions of methane emission rates at. Abstract. Remote sensing of methane fluxes has been highlighted as one of the measurement goals of the NASA Earth Science Decadal Survey. Measuring methane from space and airborne platforms with an active (laser) remote sensing instrument presents several technology and measurement challenges that need to be met in order to provide accurate and precise data.

The grid independence has to be tested to validate the numerical computation. To investigate the effects of the number of grid on computations of combustion, the temperature fields were simulated in CC of methane-air mixtures.

Using grids of × 10 5 and × 10 5, their computation. Numerical Study of Flux Models CO 2: Enhanced Naturalfor Gas Recovery and Potential CO 2 Storage in Shale Gas Reservoirs. Nilay J.

Prajapati 1 and Patrick L. Mills*1. 1Department of Chemical and Natural Gas Engineering, Texas A&M University-Kingsville, *Corresponding author: Texas A&M University-Kingsville, MSCUniversity Blvd, Kingsville TX Three important data sources were used: the airborne differential‐absorption lidar LEANDRE 2, the ground‐based Doppler lidar TEACO2 and in situ measurements from the National Oceanic and Atmospheric Administration P‐3 aircraft.

This event was simulated down to 2 km horizontal resolution using the non‐hydrostatic mesoscale model Meso‐NH.

Gas hydrate has been predicted to reform around a wellbore during depressurization-based gas production from gas hydrate-bearing reservoirs. This process has an adverse effect on gas production rates and it requires time and sometimes special measures to resume gas flow to producing wells.

Due to lack of applicable field data, laboratory scale experiments remain a valuable source of. Numerical simulation of methane flux measurements using lidar NOAA Technical Memorandum July 1, The authors propose a lidar system for remotely measuring methane flux in the atmospheric Title: Enterprise Big Data Architecture.

Model calibration for these parameters has been done using flux measurements in Europe in (Kountouris et al., ).

Processing for flux prediction To use this diagnostic model in a predictive mode, we need to forecast all VPRM input variables 5 d into the future.

Lidar (/ ˈ l aɪ d ɑːr /, also LIDAR, LiDAR, and LADAR) is a method for measuring distances by illuminating the target with laser light and measuring the reflection with a sensor.

Differences in laser return times and wavelengths can then be used to make digital 3-D representations of the target. It has terrestrial, airborne, and mobile applications.

Coal-bed-methane (CBD) electrical power generation is an active and effective measure to reduce emissions of greenhouse gases. Using shell-and-tube heat exchangers to reduce the water content of pipeline gas can improve the efficiency of the generator set.

Designing heat exchanger by ASPEN EDR software can save a lot of manual calculation process, so as to improve the efficiency of.

Theses de Boer, G., Nested High Resolution Simulation and Lidar Validation of a Land Breeze Circulation, MS Thesis, University of Wisconsin - Madison, Department of Atmospheric and Oceanic Sciences, December,pp.

pdf file ( MB) Mores, M.V., A Study of Cloud Fraction as a Function of Optical Depth using University of Wisconsin Lidar Data, MS Thesis, University of. A new mathematical modeling approach is presented to estimate the errors caused by changes to the flow pattern of gases within the soil cover when a closed flux chamber is placed on top of the cover to measure gas emissions.

The proposed two-dimensional numerical model considers both advective and dispersive processes of gas migration. Methane percentages in the ventilation air were also measured at return stations. The measurements showed that the air had ∼%% methane.

Using measured methane percentages and air rates, methane emission rates (or methane rates) were calculated. These data are shown below in Fig.

5-D. McCarty, B.J., and J.H. Churnside, Comparing near surface measurements of wind speed and direction over the Indian Ocean from Lidar and Scatterometer, and results from predictive study using the wind shear power law and the surface roughness log law to model upper level winds from near surface measurements, NOAA Technical Memorandum OAR ESRL.

Refereed Journal Publications: Chi J., M.B. Nilsson, H. Laudon, A. Lindroth, J. Wallerman, J. Fransson, N. Kljun, T. Lundmark, M. Ottosson-Löfvenius, M. Peichl. This study consisted of using a numerical model to estimate methane emission and oxidation through an ET cover under average climatic conditions in Bennignton, Nebraska, USA.

Different simulations were performed using different methane loading flux (5 to gm − 2 ∙d − 1) as the bottom boundary. For all simulations, surface emissions. 1 IIHR - Hydroscience & Engineering, University of Iowa, Iowa City, IA 2 Los Alamos National Laboratories, Los Alamos, NM 3 Utah State University, Logan, UT 4 Duke University, Durham, NC 5 USDA Soil Tilth Laboratory, Ames, IA 1 MEASURING EVAPOTRANSPIRATION AND VIRTUAL POTENTIAL HEAT FLUX USING LIDAR Final Report by W.

Eichinger1, J. Nichols1, D. Cooper2, L. Heat Flux Method 1. Experimental And Numerical Study Of Laminar Burning Velocity Of Methane-Air Mixture Using Heat Flux Method Pawan Kumar (SC11B) Under the guidance of: Dr.

Prathap C. Asst. Professor, IIST Indian Institute of Space .A commercial numerical code (FLUENT) was used to simulate the laminar premixed flame.

Simulation results were compared with the experimental results and there was good agreement between the results. The purpose of simulation is to understand the impinging flame structure and the chemical physical combustion process.

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