Full
Outline
Climate change and atmospheric pollution represent two critical environmental challenges facing the world today, and the development of high-accuracy emission inventories serves as the scientific foundation for addressing these challenges. Based on the Web of Science database, this study employs a comprehensive approach integrating scientometric mapping and text mining techniques to systematically analyze the thematic distribution, institutional landscape, and collaborative network characteristics within the global emission inventory research domain. The findings reveal a significant growth trend in publication output over the past decades, with a notable leap cycle of approximately ten years. The research themes encompass 26key topics, including transportation emissions, particulate matter pollution, and climate change mitigation, and span across industrial sectors, emission species, and modeling methodologies, as well as specific processes and impact analyses. Research institutions from China, the United States, France, Germany, and other countries have played leading roles in advancing the field, forming a differentiated and diversified research landscape while establishing international collaboration networks with distinct geographical clustering effects. The analysis demonstrates strong interconnections among research themes, with topics such as particulate matter pollution, air quality modeling, and volatile organic compounds showing significant potential in facilitating knowledge integration across different emission inventories. Future research efforts should prioritize (1) establishing a unified classification system for emission inventories, (2) optimizing emission inventory validation methods, (3) promoting transparency and open access to emission data, and (4) strengthening multinational collaboration and information-sharing mechanisms. These measures are essential for synergistically advancing the scientific foundation and practical application of both air pollutant and greenhouse gas emission inventories.
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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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