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王平

时间:2022-06-22 14:05:19  作者:  点击:

 

 

基本信息:

王平,女,副教授,博士研究生,山西大学,生态学;自然地理学;大气环境建模;硕士研究生导师;数据挖掘与机器学习。

科研成果:

(一)论文:

[1] Ping Wang, Yong Liu*,Zuodong Qin and Guisheng Zhang, A novel hybrid forecasting model for PM10 and SO2 daily concentrations[J], Science of the Total Environment, 2015, (2):1202-1212.

[2] Ping Wang, Hong Zhang*,Zuodong Qin and Guisheng Zhang, A novel hybrid-Garch model based on ARIMA and SVM for PM2.5 concentrations forecasting[J], Atmospheric Pollution Research,2017(8):850-860.

[3] Ping Wang*, Guisheng Zhang, Feng Chen, Yue He,A hybrid-wavelet model applied for forecasting PM2.5 concentrations in Taiyuan city, China[J], Atmospheric Pollution Research, 2019,10(6), 10: 1884–1894.

[4] Ping Wang*, Hongyinping Feng, Guisheng Zhang and Daizong Yu, A Period-Aware Hybrid Model Applied for Forecasting AQI Time Series[J], Sustainability, 2020, 12:1-15.

[5] Ping Wang*, Xuran He, Hongyinping Feng, Guisheng Zhang and Chenglu Rong, A Hybrid Model for PM2.5 Concentration Forecasting Based on Neighbor Structural Information, a Case in North China[J], Sustainability, 2021,13.

[6] Ping Wang*, Hongyinping Feng, Xu Bi, Yongyong Fu, Xuran He, Guisheng Zhang, Jiawei Niu, Phase objectives analysis for PM2.5 reduction using dynamics forecasting approach under different scenarios of PGDP decline[J], Ecological Indicators, 2021,129: 108003.

[7] 王平, 张红*, 秦作栋, 基于wavelet-SVM的PM10浓度时序数据预测[J], 环境科学, 2017, 38(8):3153-3161.

(二)项目:

[1]基于人工智能统计方法的PM2.5时序预测研究,国家社会科学基金,主持。

[2]山西省PM2.5浓度分阶段改善目标情况分析,山西省软科学,主持。

(三)专著:

基于数据特征的大气污染物浓度预测模型研究,中国水利水电出版社,2019。


 


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