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The stable operation of carbon market depends on the accuracy of carbon emission data, and the data quality of continuous emission monitoring system (CEMS), as an adjunct to the accounting method, still needs to be improved. Uncertainty assessment is an important part of the construction of CEMS and data quality control. To assess and improve the data quality of CEMS, the uncertainty assessment of the carbon emission online monitoring data of an F-class gas unit was carried out. The results show that, the extended uncertainty of carbon emissions is 4.838%~5.012% (k=2), and the main source of uncertainty is the flow rate measurement, in which the velocity field coefficient detection is the main reason for the high uncertainty in the flow rate measurement, and the operating load does not have a more obvious effect on the results. Therefore, improving the accuracy of flow rate and concentration measurement instruments or conducting regular calibration tests can effectively reduce the uncertainty and improve data quality.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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