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Methane Exchange Flux Monitoring between Potential Source Sewage Inspection Wells and the Atmosphere Based on Laser Spectroscopy Method

Author

Listed:
  • Yihao Wang

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
    These authors contributed equally to this work.)

  • Xiande Zhao

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    These authors contributed equally to this work.)

  • Daming Dong

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Chunjiang Zhao

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Feng Bao

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Rui Guo

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Fangxu Zhu

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Leizi Jiao

    (National Engineering Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

Abstract

Greenhouse gas emissions are changing the climate and affecting human activities. In cities, the anaerobic environment in sewage inspection wells produces CH 4 , which is exchanged with the atmosphere and causes pollution. Moreover, although the number of inspection wells has increased with the development of cities, people have not paid enough attention to this potential source of CH 4 and ignored it in the statistics of greenhouse gas inventories. Conventional gas monitoring methods like gas chromatography are complex and expensive. Based on the portable TDLAS CH 4 sensor developed by our team, combined with a gas velocity analyser, we realised in situ continuous flux monitoring. We corrected the effect of temperature on the results according to the theory of infrared thermometry. We showed that the measurement results of the sensor fluctuate within the range of ±0.1 ppm of the measured standard gas concentration. We also verified its repeatability and ensured its reliability in field applications by comparing its results with the results of gas chromatography analysis. In addition to flux monitoring, based on the monitoring data of 56 inspection wells in the study area, the average concentration was estimated using the Bootstrap method, and combined with the average value of gas velocity, the average flux was estimated to be 2.19 × 10 −6 mol/s, and the daily exchange mass was 3.03 g CH 4 d −1 . Combined with information such as the length of sewage pipes, we estimate that the annual CH 4 exchange mass in the city is about 5.49 × 10 5 kg CH 4 yr −1 . This monitoring method will help us to understand climate change and improve greenhouse gas inventories.

Suggested Citation

  • Yihao Wang & Xiande Zhao & Daming Dong & Chunjiang Zhao & Feng Bao & Rui Guo & Fangxu Zhu & Leizi Jiao, 2023. "Methane Exchange Flux Monitoring between Potential Source Sewage Inspection Wells and the Atmosphere Based on Laser Spectroscopy Method," Sustainability, MDPI, vol. 15(24), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16637-:d:1295748
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    References listed on IDEAS

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    1. Katerina Machacova & Elisa Vainio & Otmar Urban & Mari Pihlatie, 2019. "Seasonal dynamics of stem N2O exchange follow the physiological activity of boreal trees," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    2. Geli Zhang & Xiangming Xiao & Jinwei Dong & Fengfei Xin & Yao Zhang & Yuanwei Qin & Russell B. Doughty & Berrien Moore, 2020. "Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    3. Jhun, Myoungshic & Jeong, Hyeong-Chul, 2000. "Applications of bootstrap methods for categorical data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 35(1), pages 83-91, November.
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