| 南昌市城市空气PM2.5和PM10时空变异特征及其与景观格局的关系 |
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| 引用本文： | 苏维,赖新云,赖胜男,古新仁,张志坚,张帅珺,黄国贤,刘苑秋.南昌市城市空气PM2.5和PM10时空变异特征及其与景观格局的关系[J].环境科学学报,2017,37(7):2431-2439. |
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| 作者姓名： | 苏维 赖新云 赖胜男 古新仁 张志坚 张帅珺 黄国贤 刘苑秋 |
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| 作者单位： | 1 江西农业大学林学院, 南昌 330045;2 河南科技大学林学院, 洛阳 471003,南昌市环境监测站, 南昌 330038,江西农业大学林学院, 南昌 330045,江西农业大学林学院, 南昌 330045,江西农业大学林学院, 南昌 330045,江西农业大学林学院, 南昌 330045,江西农业大学林学院, 南昌 330045,江西农业大学林学院, 南昌 330045 |
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| 基金项目： | 江西省重大自然基金项目（No.20152ACB20006） |
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| 摘 要： | 基于2013—2015年南昌市9个空气环境监测点的连续数据,分析了空气PM_(2.5)、PM_(10)质量浓度(以下简称浓度)的时空变异规律,并以景观格局指数为定量指标,研究了监测点的两种颗粒物浓度与其周边500 m半径、1000 m半径缓冲区的土地利用状况的关系.结果表明:(1)南昌市3年来PM_(2.5)和PM_(10)浓度逐年显著降低.(2)通过聚类分析,9个监测站依据颗粒物污染可分为4大类,表现出一致的城乡梯度差异.(3)在斑块类型水平上,PM_(2.5)和PM_(10)浓度与500、1000 m半径缓冲区的C-PLAND(建筑用地覆盖率)、C-SHDI(建筑用地多样性指数)显著正相关,与1000m缓冲区的F-ED(林地边界密度)显著正相关;与F-PLAND(林地覆盖率)、C-Fi(建筑用地分离度指数)、F-MPS(林地平均斑块面积)显著负相关.在景观水平上,PM_(2.5)和PM_(10)浓度在500 m缓冲区与LPI(最大斑块所占景观比例)显著负相关;与1000 m缓冲区的MPS(平均斑块面积)显著负相关.景观格局指数直接反映土地利用状况,它与PM_(2.5)和PM_(10)浓度的相关性,表现出生态学中典型的"源汇景观"关系.
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| 关 键 词： | PM2.5 PM10 质量浓度 时空分布 景观指数 |
| 收稿时间： | 2016/9/20 0:00:00 |
| 修稿时间： | 2016/11/7 0:00:00 |
Spatiotemporal variations of atmospheric PM2.5 and PM10 in Nanchang and its correlation with landscape pattern |
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| SU Wei,LAI Xinyun,LAI Shengnan,GU Xinren,ZHANG Zhijian,ZHANG Shuaijun,HUANG Guoxian and LIU Yuanqiu.Spatiotemporal variations of atmospheric PM2.5 and PM10 in Nanchang and its correlation with landscape pattern[J].Acta Scientiae Circumstantiae,2017,37(7):2431-2439. |
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| Authors: | SU Wei LAI Xinyun LAI Shengnan GU Xinren ZHANG Zhijian ZHANG Shuaijun HUANG Guoxian and LIU Yuanqiu |
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| Institution: | 1 Forestry College, Jiangxi Agricultural University, Nanchang 330045;2 Forestry College, Henan University of Science & Technology, Luoyang 471003,Nanchang Environmental Monitoring Station, Nanchang 330038,Forestry College, Jiangxi Agricultural University, Nanchang 330045,Forestry College, Jiangxi Agricultural University, Nanchang 330045,Forestry College, Jiangxi Agricultural University, Nanchang 330045,Forestry College, Jiangxi Agricultural University, Nanchang 330045,Forestry College, Jiangxi Agricultural University, Nanchang 330045 and Forestry College, Jiangxi Agricultural University, Nanchang 330045 |
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| Abstract: | The mass concentration (MC) of atmospheric PM2.5 and PM10 from 9 sites of Nanchang city was collected continuously from 2013 to 2015, and its spatiotemporal pattern was explored. Furthermore, the correlation between atmospheric PM2.5 and PM10 MC and the land use status within 500 m and 1000 m scopes of 9 monitoring sites was analyzed by using landscape pattern metrics as a quantitative index. Our results revealed that PM2.5 and PM10 MC dramatically decreased in the past 3 years. The components of PM2.5 and PM10 MC can be divided into 4 categories by cluster analysis and showed an urban-rural gradient difference. The construction land percentage of landscape (C-PLAND) and construction land of shannon diversity (C-SHID) were positively correlated with the concentration of PM2.5 and PM10 in both 500 m and 1000 m scopes, whereas the forest of edge density (F-ED) were positively correlated only in 1000 m buffer. In contrast, the forest land percentage of landscape (F-PLAND), construction land of separation index (C-FI) and mean forest patch area (F-MPS) were negatively correlated with PM2.5 and PM10 MC in 500 m and 1000 m scopes. In addition, the largest patch index (LPI) showed a negatively correlation with PM2.5 and PM10 MC in the 500 m scope, as well as the mean patch size (MPS) in the 1000 m scope. This study clearly revealed that the landscape index can directly reflect the status of land use and was strongly correlated with PM2.5 and PM10 MC, showing a typical sink-source landscape in ecology. |
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| Keywords: | PM2 5 PM10 mass concentration spatiotemporal distribution landscape metrics |
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