Volatile Organic Compounds Emission from Chinese Wood Furniture Coating Industry: Activity-based Emission Factor, Speciation Profiles, and Provincial Emission Inventory
Volatile Organic Compounds Emission from Chinese Wood Furniture Coating Industry: Activity-based Emission Factor, Speciation Profiles, and Provincial Emission Inventory
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中国木器家具涂料行业挥发性有机化合物排放:基于活动的排放因子、形态分布和省级排放清单
DOI:
10.4209/aaqr.2018.02.0044
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发表时间:
2018
影响因子:
4
通讯作者:
Jia-Yu Zhang
中科院分区:
文献类型:
--
作者:
Ke Cheng;Wei-Wei Hao;Peng Yi;Yang Zhang;Jia-Yu Zhang
Volatile organic compounds (VOCs) have been identified as the most crucial precursors of tropospheric photochemical O3formation and secondary organic aerosols. In this study, field measurement was conducted to develop VOCs emission factors and source profiles of the wood furniture coating industry in China. An activity-based database was established, involving coat consumption-based, coating area-based, furniture production-based, and output value-based VOCs emission factors. Combining the results of field tests and literature surveys, emission factors were calculated by enterprise scale, coating type, spraying technology, and emission control device. The uncertainties were quantified by using Monte Carlo simulations. VOCs emission factors were estimated: 0.22 (0.10–0.34, 95% CI) kg kg−1for coat consumption-based; 21.97 (10.10–29.38) g m−2for coating area–based; 0.69 (0.34–1.00) kg piece−1for furniture production-based; and 6.95 (3.42–10.21) kg 10−4yuan for output value–based calculation, respectively. Aromatics and oxygenated VOCs (OVOCs) were predominant species of solvent borne paint emission, with the proportion of 71.1% and 22.9% of totals, respectively. VOCs emissions from the wood furniture coating industry were estimated at 179.76 × 103(88.58 × 103– 260.52 × 103, 95% CI) t in 2016. Due to the huge production output and intensive distribution of enterprises, VOCs emissions mainly concentrated in Guangdong, Zhejiang, Shandong, Fujian, Jiangxi, and Sichuan province, with the combined contribution of 43.8% of the national totals.
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影响因子:
5
作者:
Qiu, Kaiqiong;Yang, Lixian;Wang, Liming
通讯作者:
Wang, Liming
影响因子:
9.8
作者:
Guo, Hong;Cheng, Tianhai;Meng, Can
通讯作者:
Meng, Can
影响因子:
5
作者:
Wu, Rongrong;Bo, Yu;Xie, Shaodong
通讯作者:
Xie, Shaodong
DOI:
10.1016/j.scitotenv.2016.12.172
发表时间:
2017-04
期刊:
The Science of the total environment
影响因子:
--
作者:
Z. Zhong;Qing'e Sha;Junyu Zheng;Z. Yuan;Zongjiang Gao;Jiamin Ou;Zhuoyun Zheng;Cheng Li;
通讯作者:
Z. Zhong;Qing'e Sha;Junyu Zheng;Z. Yuan;Zongjiang Gao;Jiamin Ou;Zhuoyun Zheng;Cheng Li;
影响因子:
5
作者:
Wei Wei-Wei;Shuxiao Wang;J. Hao;Shuiyuan Cheng
通讯作者:
Wei Wei-Wei;Shuxiao Wang;J. Hao;Shuiyuan Cheng