Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
文献类型：期刊论文
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| 作者 | He, Zhenfang; Guo, Qingchun; Wang, Zhaosheng; Li, Xinzhou |
| 刊名 | ATMOSPHERE
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| 出版日期 | 2022-08 |
| 卷号 | 13期号:8页码:1221 |
| 英文摘要 | Fine particulate matter (PM2.5) affects climate change and human health. Therefore, the prediction of PM2.5 level is particularly important for regulatory planning. The main objective of the study is to predict PM2.5 concentration employing an artificial neural network (ANN). The annual change in PM2.5 in Liaocheng from 2014 to 2021 shows a gradual decreasing trend. The air quality in Liaocheng during lockdown and after lockdown periods in 2020 was obviously improved compared with the same periods of 2019. The ANN employed in the study contains a hidden layer with 6 neurons, an input layer with 11 parameters, and an output layer. First, the ANN is used with 80% of data for training, then with 10% of data for verification. The value of correlation coefficient (R) for the training and validation data is 0.9472 and 0.9834, respectively. In the forecast period, it is demonstrated that the ANN model with Bayesian regularization (BR) algorithm (trainbr) obtained the best forecasting performance in terms of R (0.9570), mean absolute error (4.6 mu g/m(3)), and root mean square error (6.6 mu g/m(3)), respectively. The ANN model has produced accurate results. These results prove that the ANN is effective in monthly PM2.5 concentration predicting due to the fact that it can identify nonlinear relationships between the input and output variables. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/47318]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Liaocheng Univ, Sch Geog & Environm, Liaocheng 252000, Shandong, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 3.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China 4.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Zhenfang,Guo, Qingchun,Wang, Zhaosheng,et al. Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network, Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network.pdf[J]. ATMOSPHERE,2022,13(8):1221. |
| APA | He, Zhenfang,Guo, Qingchun,Wang, Zhaosheng,&Li, Xinzhou.(2022).Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network.ATMOSPHERE,13(8),1221. |
| MLA | He, Zhenfang,et al."Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network".ATMOSPHERE 13.8(2022):1221. |
入库方式： OAI收割
来源：生态环境研究中心
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