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Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI
oleh: Q. Tu, F. Hase, M. Schneider, O. García, T. Blumenstock, T. Borsdorff, M. Frey, M. Frey, F. Khosrawi, A. Lorente, C. Alberti, J. J. Bustos, A. Butz, V. Carreño, E. Cuevas, R. Curcoll, R. Curcoll, C. J. Diekmann, D. Dubravica, B. Ertl, B. Ertl, C. Estruch, S. F. León-Luis, C. Marrero, J.-A. Morgui, R. Ramos, C. Scharun, C. Schneider, E. Sepúlveda, C. Toledano, C. Torres
| Format: | Article |
|---|---|
| Diterbitkan: | Copernicus Publications 2022-01-01 |
Deskripsi
<p>The objective of this study is to derive methane (CH<span class="inline-formula"><sub>4</sub></span>) emissions from three landfills, which are found to be the most significant CH<span class="inline-formula"><sub>4</sub></span> sources in the metropolitan area of Madrid in Spain. We derive CH<span class="inline-formula"><sub>4</sub></span> emissions from the CH<span class="inline-formula"><sub>4</sub></span> enhancements observed by spaceborne and ground-based instruments. We apply satellite-based measurements from the TROPOspheric Monitoring Instrument (TROPOMI) and the Infrared Atmospheric Sounding Interferometer (IASI) together with measurements from the ground-based COllaborative Carbon Column Observing Network (COCCON) instruments.</p> <p>In 2018, a 2-week field campaign for measuring the atmospheric concentrations of greenhouse gases was performed in Madrid in the framework of Monitoring of the Greenhouse Gases Concentrations in Madrid (MEGEI-MAD) project. Five COCCON instruments were deployed at different locations around the Madrid city center, enabling the observation of total column-averaged CH<span class="inline-formula"><sub>4</sub></span> mixing ratios (XCH<span class="inline-formula"><sub>4</sub></span>). Considering the prevalent wind regimes, we calculate the wind-assigned XCH<span class="inline-formula"><sub>4</sub></span> anomalies for two opposite wind directions. Pronounced bipolar plumes are found when applying the method to NO<span class="inline-formula"><sub>2</sub></span>, which implies that our method of wind-assigned anomaly is suitable to estimate enhancements of trace gases at the urban level from satellite-based measurements. For quantifying the CH<span class="inline-formula"><sub>4</sub></span> emissions, the wind-assigned plume method is applied to the TROPOMI XCH<span class="inline-formula"><sub>4</sub></span> and to the lower tropospheric CH<span class="inline-formula"><sub>4</sub></span> <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="539a58614ea8688159b8effbc6d3da8d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-295-2022-ie00001.svg" width="8pt" height="14pt" src="acp-22-295-2022-ie00001.png"/></svg:svg></span></span> dry-air column ratio (TXCH<span class="inline-formula"><sub>4</sub></span>) of the combined TROPOMI<span class="inline-formula">+</span>IASI product.</p> <p>As CH<span class="inline-formula"><sub>4</sub></span> emission strength we estimate 7.4 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>25</sup></span> <span class="inline-formula">±</span> 6.4 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>24</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span> from the TROPOMI XCH<span class="inline-formula"><sub>4</sub></span> data and 7.1 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>25</sup></span> <span class="inline-formula">±</span> 1.0 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>25</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span> from the TROPOMI<span class="inline-formula">+</span>IASI merged TXCH<span class="inline-formula"><sub>4</sub></span> data. We use COCCON observations to estimate the local source strength as an independent method. COCCON observations indicate a weaker CH<span class="inline-formula"><sub>4</sub></span> emission strength of 3.7 <span class="inline-formula">×</span> 10<span class="inline-formula"><sup>25</sup></span> molec. s<span class="inline-formula"><sup>−1</sup></span> from a local source (the Valdemingómez waste plant)<span id="page296"/> based on observations from a single day. This strength is lower than the one derived from the satellite observations, and it is a plausible result. This is because the analysis of the satellite data refers to a larger area, covering further emission sources in the study region, whereas the signal observed by COCCON is generated by a nearby local source. All emission rates estimated from the different observations are significantly larger than the emission rates provided via the official Spanish Register of Emissions and Pollutant Sources.</p>