一、论文成果
1. 第一作者
[1] Qiaoli Wang, et al. Quantitatively understanding the ozone formation characteristics in areas with heavy precursor emission through machine learning simulations[J]. Process Safety and Environmental Protection, 2025, 199: 107313.
https://doi.org/10.1016/j.psep.2025.107313
[2] Qiaoli Wang, Dongping Sheng, Chengzhi Wu, Xiaojie Ou, Shengdong Yao, Jingkai Zhao, Feili Li, Wei Li, Jianmeng Chen*. Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network[J]. Journal of Environmental Sciences, 2025, 148: 126-138.
https://doi.org/10.1016/j.jes.2023.09.001
[3] Qiaoli Wang, Dongping Sheng, Chengzhi Wu, Deji Jing, Nana Cheng, Xingnong Cai, Sujing Li, Jingkai Zhao, Wei Li*, Jianmeng Chen*. A supplementary assessment system of AQI-V for comprehensive management and control of air quality in chemical industrial parks[J]. Journal of Environmental Sciences, 2023, 130: 114-125.
https://doi.org/10.1016/j.jes.2022.06.037
[4] Qiaoli Wang, Dongping Sheng, Chengzhi Wu, Jingkai Zhao, Feili Li, Shengdong Yao, Xiaojie Ou, Wei Li, Jianmeng Chen*. Exploring ozone formation rules and concentration response to the change of precursors based on artificial neural network simulation in a typical industrial park[J]. Heliyon, 2023, 9: e20125.
https://doi.org/10.1016/j.heliyon.2023.e20125
[5] Qiaoli Wang, Nana Cheng, Sujing Li, Minli Dong, Xiangqian Wang, Linlin Ge, Tianjiao Guo, Wei Li*, Xiang Gao. An Amended Chemical Mass Balance Model for Source Apportionment of PM2.5 in Typical Chinese Eastern Coastal Cities[J]. Clean-Soil, Air, Water, 2019, 47(2): 1-11.
https://doi.org/10.1002/clen.201800115
[6] Qiaoli Wang, Sujing Li*, Minli Dong, Wei Li*, Xiang Gao, Rongmin Ye, Dongxiao Zhang. VOCs emission characteristics and priority control analysis based on VOCs emission inventories and ozone formation potentials in Zhoushan[J]. Atmospheric Environment, 2018, 182:234-241.
https://doi.org/10.1016/j.atmosenv.2018.03.034
[7] Qiaoli Wang, Wei Li, Xiang Gao, Sujing Li*. Life cycle assessment on biogas production from straw and its sensitivity analysis[J]. Bioresource Technology, 2016, 201: 208-214.
https://doi.org/10.1016/j.biortech.2015.11.025
[8] 王俏丽, 董敏丽, 李素静, 吴成志,王刚,陈必新,李伟*,高翔*,叶荣民. 舟山市臭氧污染分布特征及来源解析[J]. 环境科学, 2019, 40(3): 1143-1151.
[9] Wei Li, Qiaoli Wang, Jiajia Jin, Sujing Li*. A Life Cycle Assessment case study of ground rubber production from scrap tires[J]. The International Journal of Life Cycle Assessment, 2014, 19: 1833-1842. (导师一作)
2. 通讯作者
[1] Feili Li*, Hua Wang, Hongfei Yang, Xinyang Xu, Tianzheng Ding, Qiaoli Wang*. Control of Heavy Metal Pollution with Rice Husk Biochar in Sewage Sludge Compost Amended Soil[J]. Journal of Soil Science and Plant Nutrition, 2025, 25: 2786–2797.
https://doi.org/10.1007/s42729-025-02298-y
[2] Kexuan Yang, Weixin Kong, Xinling Zhong, Xingnong Cai, Wenfu Luo, Wei Li, Sujing Li*, Qiaoli Wang*. Collaborative optimization of pollution and carbon reduction through carbon flow tracking integrated with life cycle assessment for petrochemical production[J]. Chemical Engineering Journal, 2024, 488: 151123.
https://doi.org/10.1016/j.cej.2024.151123
[3] Feili Li*, Cheng Chen, Hui Jin, Tianzheng Ding, Jianru Feng, Wanting Qiu, Qiaoli Wang*. Selective lead capture using amide-containing COFs: A novel strategy for efficient soil remediation[J]. Journal of Hazardous Materials, 2024, 478:135424.
https://doi.org/10.1016/j.jhazmat.2024.135424
[4] Kexuan Yang, Deji Jing, Xiaoxiang Wang, Shuguang Zhou, Baiqing Zhang, Long Qin, Qiaoli Wang*, Guohua Jing, Wei Li, Sujing Li*. Life cycle assessment perspective on waste resource utilization and sustainable development: A case of glyphosate production[J]. Journal of Environmental Management, 2024, 350, 119584.
https://doi.org/10.1016/j.jenvman.2023.119584
[5] Nana Cheng, Deji Jing, Zhenyu Gu, Xingnong Cai, Zhanhong Shi, Sujing Li, Liang Chen, Wei Li*, Qiaoli Wang*. Observation-Based Ozone Formation Rules by Gradient Boosting Decision Trees Model in Typical Chemical Industrial Parks[J]. Atmosphere, 2024, 15(5): 600.
https://doi.org/10.3390/atmos15050600
[6] Huang Yan, Wang Qingqing, Ou Xiaojie, Sheng Dongping, Yao Shengdong, Wu Chengzhi, Wang Qiaoli*. Identification of response regulation governing ozone formation based on influential factors using a random forest approach[J]. Heliyon, 2024, 10(16): e36303.
https://doi.org/10.1016/j.heliyon.2024.e36303
[7] Kexuan Yang, Deji Jing, Weixin Kong, Zhanhong Shi, Guohua Jing, Wei Li, Sujing Li*, Qiaoli Wang*. Quantifying the energy-material-pollution nexus in a typical fine chemical industry: A sustainable development-oriented support for collaborative emission reduction[J]. Science of the Total Environment, 2023, 905, 166826.
https://doi.org/10.1016/j.scitotenv.2023.166826
[8] Deji Jing, Nana Cheng, Cheng,Zhang, Ziwei Chen, Xingnong Cai, Sujing Li, Jingkai Zhao, Qiaoli Wang∗, Wei Li. A novel approach for VOC source apportionment combining characteristic factor and pattern recognition technology in a Chinese industrial area[J]. Journal of Environmental Sciences, 2022, 121: 25-37.
https://doi.org/10.1016/j.jes.2021.08.056
[9] Nana Cheng, Deji Jing, Cheng Zhang, Ziwei Chen, Wei Li, Sujing Li, Qiaoli Wang∗. Process-based VOCs source profiles and contributions to ozone formation and carcinogenic risk in a typical chemical synthesis pharmaceutical industry in China[J]. Science of the Total Environment, 2021, 752: 141899.
[10] Cheng Zhang, Deji Jing, Chengzhi Wu, Sujing Li, Nana Cheng, Wei Li, Gang Wang, Bixin Chen, Qiaoli Wang∗, Jun Hu. Integrating Chemical Mass Balance and the Community Multiscale Air Quality models for source identification and apportionment of PM2.5[J]. Process Safety and Environmental Protection, 2021, 149: 665–675.
[11] Nana Cheng, Cheng Zhang, Deji Jing, Wei Li, Tianjiao Guo, Qiaoli Wang∗,Sujing Li*. An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas[J]. Journal of Environmental Sciences, 2020, 92: 118-128.
[12] 景德基, 程娜娜, 蔡兴农, 石展宏, 杨春亚, 李素静, 王俏丽*, 李伟*. 基于机器学习的典型制药企业工艺过程VOCs排放特征因子识别[J]. 能源环境保护, 2022, 36(1): 77-82.
二、发明专利
[1] 王俏丽, 陈建孟, 欧晓洁, 成卓韦, 李非里. 一种基于物种重要度识别的 VOCs 正交矩阵因子解析方法和装置, CN 202410091007.2.
[2] 王俏丽, 姚胜东, 陈建孟, 成卓韦, 李非里. 耦合扩散模型与零维化学盒子模型的工业园区臭氧浓度模拟预测方法和装置, CN 202410868800.9.
[3] 王俏丽, 朱城成, 陈建孟, 李非里, 成卓韦. 集成自组织映射神经网络和 k-means 算法的工业园区天气分型方法和装置, 2025102956696.
[4] 陈建孟, 王俏丽, 李伟, 李素静, 成卓韦. 基于数据驱动的小尺度区域大气污染物快速溯源方法, ZL 2021 1 1534936.9.
三、软件著作权
[1] 王俏丽,陈建孟,李非里,成卓韦. 基于人工神经网络的大气臭氧浓度响应预测软件. 登记号:2024SR0194150.
[2] 王俏丽,陈建孟,李伟,吴成志,李素静,成卓韦. 数据驱动型大气污染溯源软件. 登记号: 2022SR0738718.
[3] 王俏丽, 景德基, 李伟, 程娜娜, 张诚, 李素静, 王晓祥. Automatic Chemical Mass Balance大气污染溯源软件. 登记号: 2021SR18793631.