|Table of Contents|

Effects of Green Space Landscape Pattern on Concentration of PM2.5 and PM10 in Xuzhou City

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年07
Page:
88-95
Research Field:
Publishing date:

Info

Title:
Effects of Green Space Landscape Pattern on Concentration of PM2.5 and PM10 in Xuzhou City
Author(s):
SONG HaixiaoYU ShouchaoZHAI FushunZHANG XueWANG JiminHOU Xinjie
(College of Agronomy,Liaocheng University,Liaocheng,Shandong 252000)
Keywords:
Xuzhou cityPM2.5PM10land use typegreen space landscape pattern
PACS:
-
DOI:
10.11937/bfyy.20200997
Abstract:
Based on the PM2.5 and PM10 data of seven national monitoring stations in the study area,the remote sensing images of the main urban area of Xuzhou City were interpreted and the landscape pattern index of green space was calculated by using ArcGIS and FragStats software.The correlation between the landscape pattern of urban green space and PM2.5 and PM10 concentration at different scales was analyzed by using Excel and SPSS software,and their relationship was explored,in order to provide a certain reference for further research on the influencing factors of PM2.5 and PM10.The results showed that green land,agricultural land,and water areas were negatively related to PM2.5;construction land,transportation land,and unused land were PM2.5‘source landscapes’,which were positively related to them;there was a seasonal difference between farmland and PM10 concentrations.In winter and spring,agricultural would reduce PM10 concentration,and summer and autumn would increase PM10 concentration.The landscape area ratio of green patches,the largest patch index,and the area-weighted average patch shape index have significant negative correlations with PM2.5 and PM10,and the landscape segmentation index has a significant positive correlation with them.

References:

[1]左海军,于澎涛,徐丽宏,等.绿化植物防治空气颗粒物污染研究进展[J].世界林业研究,2016,29(2):33-37.[2]闫广轩,杨争,席冬冬,等.新乡市秋季大气细颗粒物PM2.5中水溶性离子特征及其来源解析[J].环境科学学报,2017(9):640-648.[3]陈源,谢绍东,罗彬,等.重庆市主城区大气细颗粒物污染特征与来源解析[J].环境科学学报,2016(12):2420-2430.[4]段二红,张微微,李璇,等.石家庄市采暖期大气细颗粒物中PAHs污染特征[J].环境科学研究,2016(10):193-201.[5]宋海啸,玉亮,翟付顺,等.城市大气细颗粒物PM2.5监测及控制的方法研究进展[J].绿色科技,2018(16):29-32.[6]LIACOS J W,KAM W,DELFINO R J,et al.Characterization of organic,al and trace element PM2.5 species and derivation of freeway based emission rates in Los Angeles,CA[J].Science of the Total Environment,2012,435:159-166.[7]孟燕军,王淑英,赵习方.北京地区大雾日大气污染状况及气象条件分析[J].气象,2000(3):40-43.[8]王嫣然,张学霞,赵静瑶,等.北京地区不同季节PM2.5和PM10浓度对地面气象因素的响应[J].中国环境监测,2017,33(2):34-41.[9]陈芳,周志翔,郭尔祥,等.城市工业区园林绿地滞尘效应的研究:以武汉钢铁公司厂区绿地为例[J].生态学杂志,2006,25(1):34-38.[10]冯仲科,毛海颖,李虹.环首都圈植被分布与可吸入颗粒物的空间相关性[J].农业工程学报,2015,31(1):220-227.[11]王庚辰,王普才.中国PM2.5污染现状及其对人体健康的危害[J].科技导报,2014,32(26):72-78.[12]顾家伟.我国城市大气颗粒物重金属污染研究进展与趋势[J].地球与环境,2019,47(3):385-396.[13]陈波,鲁绍伟,李少宁.北京城市森林不同天气状况下PM2.5浓度变化[J].生态学报,2016,36(5):1391-1399.[14]ROMERO H,IHL M,RIVERA A,et al.Growth,land-use changes and air pollution in Santiago,Chile[J].Atmospheric Environment,1999,33(24):4039-4047.[15]SCHAUFLER G,KITZLER B,SCHINDLBACHER A,et al.Greenhouse gas emissions from European soils under different land use:Effects of soil moisture and temperature[J].European Journal of Soil Science,2010,61(5):683-696.[16]杨婉莹,刘艳芳,刘耀林,等.基于LUR模型探究城市景观格局对PM2.5浓度的影响:以长株潭城市群为例[J].长江流域资源与环境,2019,28(9):2251-2261.[17]YANG H O,CHEN W B,LIANG Z F.Impact of land use on PM2.5 pollution in a representative city of middle China[J].International Journal of Environmental Research and Public Health,2017,14(5):1-14.[18]欧维新,张振,陶宇.长三角城市土地利用格局与PM2.5浓度的多尺度关联分析[J].中国人口?资源与环境,2019,29(7):11-18.[19]邬建国.景观生态学:格局,过程,尺度与等级[M].北京:高等教育出版社,2000.[20]WU J,XIE W,LI W,et al.Effects of urban landscape pattern on PM2.5 pollution:A Beijing case study[J].PLoS One,2015,10(11):e0142449.[21]环境空气质量自动监测技术规范:2005HJT[S].北京:中国环境科学出版社,2005.[22]张灵艺,秦华.城市道路行道树绿带对PM2.5的滞尘效应及其变化分析[J].中国园林,2015(5):112-116.[23]李琴.武汉市绿地削减大气PM10的污染的作用研究[D].武汉:华中农业大学,2012.[24]雷雅凯,段彦博,马格,等.城市绿地景观格局对PM2.5、PM10分布的影响及尺度效应[J].中国园林,2018,34(7):98-103.[25]段彦博.城市绿地景观格局对PM2.5/PM10分布的影响及尺度效应[D].郑州:河南农业大学,2017.

Memo

Memo:
-
Last Update: 2021-06-10