Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model
The methane (CH 4 ) emissions from urban sources are increasing, and they depend on the processes and technologies applied in each one. Thus, studying them individually to quantify their emissions and understand their behavior to design CH 4 mitigation strategies is meaningful. Although many studies...
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Veröffentlicht in: | Environmental monitoring and assessment 2022-01, Vol.194 (1), p.27-27, Article 27 |
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Sprache: | eng |
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Zusammenfassung: | The methane (CH
4
) emissions from urban sources are increasing, and they depend on the processes and technologies applied in each one. Thus, studying them individually to quantify their emissions and understand their behavior to design CH
4
mitigation strategies is meaningful. Although many studies have been carried out in different cities worldwide, the complex methodologies and technologies applied are not readily available in developing countries. The main objective of this work is to apply a simple and inexpensive methodology to collect air samples in urban areas using syringes with a three-way stopcock. Considering the baseline concentration in different urban zones, the WWTP contribution to atmospheric CH
4
concentration was assessed. Moreover, it was possible to estimate the CH
4
emission rate from the source by applying the inverse Gaussian model. The atmospheric CH
4
concentrations inside and around the WWTP varied from 2.04 to 32.78 ppm. Most of the highest concentrations were found inside the WWTP; however, high concentrations were found up to 500 m from its center. The values in the urban zones were between 2.06 and 3.52 ppm, consistently higher in the area with the highest population density. Finally, considering the WWTP as a single source and according to the operational and atmospheric conditions during the studied period, the mean CH
4
emission rate from this source was 2.08E + 04 μg s
−1
. The proposed sampling methodology could be applied to estimate CH
4
emission rates from fixed sources in areas with overlapping sources. |
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ISSN: | 0167-6369 1573-2959 |
DOI: | 10.1007/s10661-021-09660-4 |