Literature DB >> 24727588

Spatial variability of methane: attributing atmospheric concentrations to emissions.

I Bamberger1, J Stieger2, N Buchmann2, W Eugster2.   

Abstract

Atmospheric methane concentrations were quantified along transects in Switzerland, using a mobile laser spectrometer combined with a GPS, to identify their spatio-temporal patterns and their controlling factors. Based on these measurements in complex terrain dominated by agriculture, three main factors were found to be responsible for the diurnal and regional patterns of atmospheric methane: (1) magnitude and distribution of methane sources within the region, (2) efficiency of vertical exchange, and (3) local wind patterns within the complex topography. An autocorrelation analysis of measured methane concentrations showed that nighttime measurements close to the ground provide information about regional sources (up to 8.3 km), while daytime measurements only carry information about sources located up to 240 m away in the upwind fetch. Compared to daytime concentrations, nighttime methane concentrations do also better reflect emissions obtained from a spatially explicit methane emission inventory and allowed the investigation of inconsistencies in this emission inventory.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atmospheric transport; Methane concentrations; Methane emission inventory; Spatio-temporal variability; Vertical mixing

Mesh:

Substances:

Year:  2014        PMID: 24727588     DOI: 10.1016/j.envpol.2014.03.028

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  6 in total

1.  Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments.

Authors:  Ashley Collier-Oxandale; Joanna Gordon Casey; Ricardo Piedrahita; John Ortega; Hannah Halliday; Jill Johnston; Michael P Hannigan
Journal:  Atmos Meas Tech       Date:  2018-06-20       Impact factor: 4.176

2.  Using Gas-Phase Air Quality Sensors to Disentangle Potential Sources in a Los Angeles Neighborhood.

Authors:  Ashley Collier-Oxandale; Nicole Wong; Sandy Navarro; Jill Johnston; Michael Hannigan
Journal:  Atmos Environ (1994)       Date:  2020-05-06       Impact factor: 4.798

3.  Investigation of A Slow-Light Enhanced Near-Infrared Absorption Spectroscopic Gas Sensor, Based on Hollow-Core Photonic Band-Gap Fiber.

Authors:  Zhi-Fa Wu; Chuan-Tao Zheng; Zhi-Wei Liu; Dan Yao; Wen-Xue Zheng; Yi-Ding Wang; Fei Wang; Da-Ming Zhang
Journal:  Sensors (Basel)       Date:  2018-07-07       Impact factor: 3.576

4.  Ppb-level detection of methane based on an optimized T-type photoacoustic cell and a NIR diode laser.

Authors:  Zhenfeng Gong; Tianli Gao; Liang Mei; Ke Chen; Yewei Chen; Bo Zhang; Wei Peng; Qingxu Yu
Journal:  Photoacoustics       Date:  2020-12-16

5.  Resonant photoacoustic spectrometer enhanced by multipass absorption for detecting atmospheric CH4 at the ppb-level.

Authors:  Qiang Liu; Yi Sun; Xuanbing Qiu; Guqing Guo; Lin Li; Ting Gong; Chuanliang Li
Journal:  Front Chem       Date:  2022-09-21       Impact factor: 5.545

6.  Community-Based Health and Exposure Study around Urban Oil Developments in South Los Angeles.

Authors:  Bhavna Shamasunder; Ashley Collier-Oxandale; Jessica Blickley; James Sadd; Marissa Chan; Sandy Navarro; Michael Hannigan; Nicole J Wong
Journal:  Int J Environ Res Public Health       Date:  2018-01-15       Impact factor: 3.390

  6 in total

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