首页|景观防护林带PM2.5与环境因子的关系研究

景观防护林带PM2.5与环境因子的关系研究

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以长江沿岸的典型景观防护林为研究对象,选取榔榆、乌桕、落羽杉和薄壳山核桃 4 种纯林类型的景观防护林,于 2023 年监测PM2.5、风速、风向、光照度、空气湿度、空气温度、气压、土壤温度和土壤湿度的季度变化.发现乌桕防护林带PM2.5 质量浓度变化幅度较大,夏季明显低于冬季,而其他 3 个防护林带PM2.5 质量浓度季节变化幅度不大.通过相关性分析发现PM2.5 与多个环境因子有相关性,尤其是乌桕防护林带.为了探究各环境因子对PM2.5 的影响,该研究引入随机森林模型,结果表明在长江沿岸的典型景观防护林中空气湿度是影响PM2.5 质量浓度的主要环境因子.该研究结果为未来建构科学合理的防护林体系提供了理论依据.
Relationship between PM2.5 and environmental factors in landscape shelterbelt
In this paper,with the typical landscape protection forest along the Yangtze River as the research object,four pure forest types of landscape protection forest including Ulmus parvifolia,Sapium sebiferum,Taxidium distichum and Carya illinoensis were selected to monitor the season change of PM2.5,wind speed,wind direction,light intensity,air hu-midity,air temperature,air pressure,soil temperature and soil humidity in 2023.We found that the variation range of PM2.5 concentration in S.sebiferum shelterbelts was large,which was significantly lower in summer than in winter while the seasonal variation range of PM2.5 concentration in the other three shelterbelts was not large.The correlation analysis found that PM2.5 was correlated with many environmental factors,especially in S.sebiferum shelterbelt.In order to explore the impact of various environmental factors on PM2.5,the random forest model was applied in this study.The result showed that air humidity was the main environmental factor affecting PM2.5 concentration in typical landscape shelterbelts along the Yangtze River.The results could provide a theoretical basis for constructing a scientific and reasonable shelterbelt system in the future.

ShelterbeltPM2.5Environmental factorRandom forest modelThe Yangtze River

邱苏梅、李立文、万欣、邢玮

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江苏省林业科学研究院,江苏 南京 211153

扬州大学园艺园林学院,江苏 扬州 225009

江苏扬州城市森林生态系统国家定位观测研究站,江苏 扬州 225000

防护林带 PM2.5 环境因子 随机森林模型 长江

江苏省农业科技自主创新资金项目江苏省林业科技创新与推广项目江苏省森林、湿地定位监测长期科研基地

CX191004LYKJ[2021]38LYKJ[2020]21

2024

江苏林业科技
江苏省林业科学研究院 江苏省林业科技情报中心

江苏林业科技

影响因子:0.461
ISSN:1001-7380
年,卷(期):2024.51(3)