| 王新长,殷振宇.基于时间序列与随机森林模型的江西省空气质量影响因素分析[J].井冈山大学自然版,2022,43(2):15-21 |
| 基于时间序列与随机森林模型的江西省空气质量影响因素分析 |
| ANALYSIS OF INFLUENCING FACTORS OFAIR QUALITY IN JIANGXI PROVINCE BASED ON TIME SERIES AND RANDOM FOREST MODEL |
| 投稿时间：2021-08-01 修订日期：2021-10-22 |
| DOI：10.3969/j.issn.1674-8085.2022.02.003 |
| 中文关键词: 空气质量指数 数据挖掘 随机森林 气象因素 |
| 英文关键词: air quality index data mining random forest meteorological factors |
| 基金项目:江西省教育厅科技计划项目(GJJ180565);井冈山大学校级课题(JZB1824) |
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| 中文摘要: |
| 空气质量状况直接影响着人们的身心健康,空气污染治理一直是一个广受争论的热点问题。本文基于2015~2020年江西省各地级市主要污染物浓度和气象数据,采用时间序列与随机森林模型,深入分析江西省各地级市的空气质量状况及其影响因素,得到以下结果:(1)从整体角度来看,2015~2020年间江西省城市的空气质量一直处于优良状态,且呈现出不断提高趋势。(2)从季节角度来看,各城市每年的AQI值呈现倒"山"形分布,各污染物浓度变化特征明显,除O3外其他污染物浓度大致呈现"冬秋高、夏秋低"的特点,其中萍乡市的变化最为突出。(3)从气象因子的角度看,平均气温、平均气压和平均水气压对空气中主要污染物影响最大,其他气象因子对不同污染物浓度影响程度有明显差异。 |
| 英文摘要: |
| Air quality has a direct impact on people's physical and mental health,and air pollution treatment always is a widely debated hot issue.Based on the concentration of major pollutants and meteorological data of prefecture-level cities in Jiangxi Province from 2015 to 2020,this paper uses time series and random forest model to deeply analyze the air quality of prefecture-level cities in Jiangxi Province and its influencing factors,and the following results are obtained:(1) From the overall perspective,the urban air quality of Jiangxi Province is in a good state from 2015 to 2020,and shows a trend of continuous improvement.(2) From the perspective of season,the annual AQI value of each city presents an inverted "mountain" distribution,and the variation of pollutant concentration is obvious.Except O3,the concentrations of other pollutants are generally "high in winter and autumn,low in summer and autumn",among which the change of Pingxiang City is the most prominent.(3) From the perspective of meteorological factors,average temperature,average pressure and average water pressure have the greatest impact on the main pollutants in the air,while other meteorological factors have significant differences in the impact of pollutants with different concentrations. |
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