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CAI Jingyu, ZANG Kunpeng, SHAN Meng, XU Honghui, YANG Zengyi, ZHAO Dongxia, WEI Kangxuan, CHEN Bingjiang. 2026: Emission Characteristics and Influence Factors of CO2, CH4 and CO in Shaoxing Textile Printing and Dyeing Industrial Park.. Chinese Journal of Atmospheric Sciences. DOI: 10.3878/j.issn.1006-9895.2512.25141
Citation: CAI Jingyu, ZANG Kunpeng, SHAN Meng, XU Honghui, YANG Zengyi, ZHAO Dongxia, WEI Kangxuan, CHEN Bingjiang. 2026: Emission Characteristics and Influence Factors of CO2, CH4 and CO in Shaoxing Textile Printing and Dyeing Industrial Park.. Chinese Journal of Atmospheric Sciences. DOI: 10.3878/j.issn.1006-9895.2512.25141

Emission Characteristics and Influence Factors of CO2, CH4 and CO in Shaoxing Textile Printing and Dyeing Industrial Park.

  • Textile dyeing and printing industry is major economic pillar of Shaoxing City, Zhejiang Province, accounting for over 40% of its total production capacity in China. This makes it a critical challenge in implementing the "Dual Carbon" strategy. To reveal the features and regulator factors of carbon emission in textile dyeing industrial parks, we conducted continuous mobile observation of atmospheric CO?, CH? and CO mixing ratios, and meteorological parameters in Binhai Industrial Park (Keqiao District) and Sunduan Industrial Park (Yuecheng District) in Shaoxing City on 29 and 30, October, 2024. Results showed that the observed atmospheric CO?, CH? and CO mixing ratios in the industrial parks were 20% higher than those in the rural area. Diurnal variations of atmospheric CO?, CH? and CO mixing ratios were mainly influenced by regional wind and planetary boundary layer height. Meanwhile, Vehicle emissions were considered as an important anthropogenic source of CO and CO? in the industrial parks. Based on the mass balance model, the total daily CO2 emissions from the two industrial parks were estimated to be approximately 4.0 t/day, while the CO emissions were approximately 33.7 kg/day. CH? emission from key hotspot sources, such as wastewater treatment plants and gas stations, were estimated as 13.88 t/year and 12.93 t/year, respectively. This study was benefit for three-dimensional integrated observation and more accurate estimation of carbon emission from industrial parks in future.
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