[1]王梦迪,吉文丽*,李凯媛. 西安市PM10、PM2.5的时空特征及其与土地利用的关系[J].西北林学院学报,2021,36(4):249-256.[doi:10.3969/j.issn.1001-7461.2021.04.36]
 WANG Meng-di,JI Wen-li*,LI Kai-yuan. Spatial and Temporal Distributions of PM10 and PM2.5 in Xi’an and Their Relationships with Land Use Pattern[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2021,36(4):249-256.[doi:10.3969/j.issn.1001-7461.2021.04.36]
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 西安市PM10、PM2.5的时空特征及其与土地利用的关系()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第36卷
期数:
2021年第4期
页码:
249-256
栏目:
出版日期:
2021-07-31

文章信息/Info

Title:
 Spatial and Temporal Distributions of PM10 and PM2.5 in Xi’an and Their Relationships with Land Use Pattern
文章编号:
1001-7461(2021)04-0249-08
作者:
 王梦迪吉文丽*李凯媛
 (西北农林科技大学 风景园林艺术学院,陕西 杨陵 712100)
Author(s):
 WANG Meng-diJI Wen-li*LI Kai-yuan
 (College of Landscape Architecture and Arts,Northwest A&F University,Yangling 712100,Shaanxi,China)
关键词:
 PM10PM2.5景观格局土地利用城市建成区
Keywords:
 PM10 PM2.5 landscape pattern land use urban built-up area
分类号:
S731.2
DOI:
10.3969/j.issn.1001-7461.2021.04.36
文献标志码:
A
摘要:
 基于西安市9个空气质量监测站的颗粒物浓度数据与土地利用景观格局指数,探索大气污染的时空差异及其与土地利用指数的深层量化关系,为城市规划提供参考。结果表明:1)大气污染浓度呈现冬、春、秋、夏递减的季节特征;大气污染站点浓度表现出高值、低值相聚、北高南低的空间自相关性;不同站点的PM10、PM2.5浓度在城市平均水平6.7%~9.7%、6.4%~6.8%浮动。2)PM10、PM2.5浓度与G-PLAND、R-PLAND相关性显著,与B-PLAND不相关,与G-LPI、G-DIVISION、G-ED、G-AI分别呈负相关、正相关、负相关、负相关。表明绿地斑块越大、优势度越高、分离程度越低、边缘密度越高、聚集度越高、道路斑块越小越有利于颗粒物的减少。与B-AI的正相关关系表明,建设用地的聚集度越大,PM10、PM2.5浓度越高。3)当G-PLAND每增加10%,PM10 、PM2.5分别消减11.29%、8.6%;当R-PLAND每增加10%,PM10、PM2.5分别增加5.39%、6.03%,表明绿地对PM10的沉积作用强于PM2.5,道路与PM2.5的关系更加密切。
Abstract:
 Based on the particulate matter concentration data and land use landscape pattern index of 9 air quality monitoring stations in Xi’an,spatial and temporal distribution differences of air pollution and their in-depth quantitative relationships with land use indexes were explored to provide reference for urban planning.The results indicated that 1) the concentration of particulate matter was in the order of winter>spring>autumn>summer; spatial autocorrelationships were found in monitoring sites:both high values and low values were converged,the particulate matter concentration was high in the north of the city and low in the south;the concentrations of PM10 and PM2.5 at different sites fluctuated between about 6.7%-9.7% and 6.4%-6.8% of the urban average.2) The concentrations of PM10 and PM2.5 were significantly correlated with G-PLAND and R-PLAND,but not with B-PLAND; the concentrations of PM10 and PM2.5 were negatively,positively,negatively,and negatively correlated with G-LPI,G-DIVISION,G-ED,and G-AI,respectively.The results of correlation analysis indicated that the larger the green patch,the higher the degree of dominance,the lower the degree of separation,the higher the degree of aggregation,and the smaller the road patch,the better the reduction of the concentrations of particulate matter.The positive correlation with B-AI indicated that the greater the concentration of construction land,the higher the concentration of PM10 and PM2.5.3) When G-PLAND increased by 10%,PM10 and PM2.5 decreased by 5.67% and 4.87%,respectively;when R-PLAND increased by 10%,PM10 and PM2.5 increased by 9.18% and 11.4%,respectively,showing that the sedimentation effect of green land on PM10 was stronger than PM2.5,and the relationship between road and PM2.5 was closer.

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备注/Memo

备注/Memo:
 收稿日期:2020-07-10修回日期:2020-09-29
基金项目:陕西省林业科学研究重大项目“森林质量精准提升关键技术研究”(SHLY-2018-02)。
作者简介:王梦迪。研究方向:城市绿地与大气颗粒物。E-mail:WMDLFY@163.com
*通信作者:吉文丽,教授,博士。研究方向:园林植物与规划设计。E-mail:jiwenli@nwsuaf.edu.cn
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