[1]马西娜,李金铭,王梦媱,等.高密度城区绿地景观格局对PM2.5/O3的多尺度影响[J].西安建筑科技大学学报(自然科学版),2024,56(01):120-130.[doi:10.15986/j.1006-7930.2024.01.015]
　MA Xina,LI Jinming,WANG Mengyao,et al.Multi-scale effects of highdensity urban green space landscape pattern on PM2.5 and O3[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2024,56(01):120-130.[doi:10.15986/j.1006-7930.2024.01.015]
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高密度城区绿地景观格局对PM2.5/O3的多尺度影响()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
56
期数:
2024年01期
页码:
120-130
栏目:
出版日期:
2024-02-28

文章信息/Info

Title:
Multi-scale effects of highdensity urban green space landscape pattern on PM2.5 and O3
文章编号:
1006-7930(2024)01-0120-11
作者:
马西娜; 李金铭; 王梦媱; 安琦
（长安大学 建筑学院，陕西 西安 710065）
Author(s):
MA Xina; LI Jinming; WANG Mengyao; AN Qi
（College of Architecture, Chang′an University, Xi′an 710061, China）
关键词:
城市高密度城区; 多尺度效应; 绿地景观格局; PM2.5; O3
Keywords:
urban high-density areas;  multiscale effects;  green space landscape patterns;  PM2.5;  O3
分类号:
TU985；X51
DOI:
10.15986/j.1006-7930.2024.01.015
文献标志码:
A
摘要:
为探究高密度城区绿地景观格局对于PM2.5浓度与O3浓度的尺度效应，分析西安市高密度城区范围，选取边界密度（ED）、景观形状指数（LSI）、面积加权形状指数（SHAPE_AM）和平均形状指数（SHAPE_MN）共4个景观格局指数衡量绿地景观格局，爬取2020—2021年国家空气质量监测站点的大气监测数据，运用皮尔逊相关性分析和线性回归分析方法，探究多尺度下高密度城区绿地景观格局对PM2.5和O3的时空分布特征、绿地景观格局特征和PM2.5浓度、O3浓度与景观格局指数的多尺度影响关系.结果表明，景观格局在夏季对于PM2.5浓度、在春季对于O3浓度的影响更为显著；在高密度城区内较小尺度的绿地上优化景观格局对PM2.5与O3浓度影响更有效.由此提出的绿地优化策略可为城市高密度城区多尺度绿地规划设计提供参考依据.
Abstract:
In order to investigate the scale effect of green space landscape pattern on PM2.5 and O3 concentrations in high-density urban areas, four landscape pattern indices, namely edge density (ED), landscape shape index (LSI), area-weighted shape index (SHAPE_AM) and mean shape index (SHAPE_MN), were selected to measure the landscape pattern of green space in Xi′an city. Based on the atmospheric monitoring data of national air quality monitoring stations from 2020 to 2021, Pearson correlation analysis and linear regression analysis were used to investigate the spatial and temporal distribution characteristics of green space landscape pattern on PM2.5 and O3, the characteristics of green space landscape pattern and the relationship between PM2.5 concentration, O3 concentration and landscape pattern index at multiple scales in high-density urban areas. The results show that the landscape pattern has a more significant effect on PM2.5 concentrations in summer and O3 concentrations in spring, and optimizing the landscape pattern on smaller scale green spaces in high-density urban areas is more effective in influencing PM2.5 and O3 concentrations. The proposed green space optimization strategy can provide a reference for the planning and design of multiscale green space in high-density urban areas.

参考文献/References:

［1］谢志祥,秦耀辰,李亚男,等.基于PM2.5的中国雾霾灾害风险评价［J］.环境科学学报,2017,37(12):4503-4510.
XIE Zhixiang,QIN Yaochen,LI Yanan,et al. Haze disaster risk evaluation in China based on PM2.5［J］. Journal of Environmental Science, 2017, 37(12): 4503-4510.
［2］陈思璇,何永梅,姚进文,等.2018—2020年天水市大气污染对急性上呼吸道感染住院患者的影响［J］.中国预防医学杂志,2023,24(9):964-970.
CHEN Sixuan, HE Yongmei, YAO Jinwen, et al. Effects of air pollution on hospitalized patients with acute upper respiratory tract infections in Tianshui City, China, 20182020［J］. Chinese Journal of Preventive Medicine, 2023, 24(9): 964-970.
［3］胡建林,张远航.加强O3和PM2.5协同控制,持续改善我国环境空气质量［J］.科学通报,2022,67(18): 1975-1977.
HU Jianlin, ZHANG Yuanhang. Strengthening the synergistic control of O3 and PM2.5 for continuous improvement of China′s ambient air quality［J］. Science Bulletin, 2022, 67(18): 1975-1977.
［4］中华人民共和国生态环境部网站.【生态环境部】关于开展细颗粒物和臭氧污染协同防控“一市一策”驻点跟踪研究工作的通知［EB/OL］. (2021-4-28) ［2021-4-28］.https://www.mee.gov.cn/xxgk2018/xxgk/xxgk04/202104/t20210428_831139.html
Ministry of Ecology and Environment of the People′s Republic of China. Notice on the “One City, One Policy” residence tracking research on the coordinated prevention and control of fine particulate matter and ozone pollution［EB/OL］. (2021-4-28) ［2021-4-28］. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk04/202104/t20210428_831139.html
［5］王红磊,沈利娟,唐倩,等.嘉兴市不同天气条件下大气污染物和气溶胶化学组分的分布特征［J］.环境科学,2017,38(9):3594-3604.
WANG Honglei, SHEN Lijuan, TANG Qian,et al. Distribution characteristics of atmospheric pollutants and aerosol chemical components under different weather conditions in Jiaxing City［J］. Environmental Science, 2017, 38(9): 3594-3604.
［6］王芳龙,李忠勤,尤晓妮,等.2015—2017年天水市大气污染物变化特征及来源分析［J］.环境科学学报,2018,38(12):4592-4604.
WANG Fanglong,LI Zhongqin,YOU Xiaoni,et al. Characterization of air pollutant changes and source analysis in Tianshui city from 2015 to 2017［J］. Journal of Environmental Science, 2018, 38(12): 4592-4604.
［7］CHEN S, ZHOU G, ZHU B, et al. A method for fast quantification of air pollutant sources［J］. Acta Scientiae Ciramstantiae,2017,37(7):2474-2481.
［8］高庆先,师华定,张时煌,等.空气污染对气候变化的影响与反馈研究［J］.资源科学,2012,34(8):1384-1391.
GAO Qingxian,SHI Huading,ZHANG Shihuang,et al. Impacts and feedbacks of air pollution on climate change［J］. Resource Science, 2012, 34(8): 1384-1391.
［9］周曙东,欧阳纬清,葛继红.京津冀PM2.5的主要影响因素及内在关系研究［J］.中国人口·资源与环境,2017,27(4):102-109.
ZHOU Shudong, OUYANG Weiqing, GE Jihong. Research on the main influencing factors and intrinsic relationship of PM2.5 in BeijingTianjinHebei［J］. China PopulationResources and Environment, 2017, 27(4): 102-109.
［10］侯素霞,张鉴达,李静.上海市大气污染物时空分布及其相关性因子分析［J］.生态环境学报,2021,30(6):1220-1228.
HOU Suxia, ZHANG Jianda, LI Jing. Spatial and temporal distribution of air pollutants and their correlation factors in Shanghai［J］. Journal of Ecology and Environment, 2021, 30(6): 1220-1228.
［11］刘永林,钟明洋,孙启民,等.重庆市都市功能核心区秋季大气污染物时空分布特征［J］.环境科学学报,2016,36(7):2344-2354.
LIU Yonglin, ZHONG Mingyang, SUN Qimin, et al. Characteristics of spatial and temporal distribution of air pollutants in the fall in the urban functional core area of Chongqing［J］. Journal of Environmental Science, 2016, 36(7): 2344-2354.
［12］孙旭映,尉元明,庞朝云,等.兰州城区大气污染物分布特征分析［J］.干旱区资源与环境,2004(6):15-18.
SUN Xuying, YU Yuanming, PANG Chaoyun, et al. Characterization of air pollutant distribution in Lanzhou［J］. Arid Zone Resources and Environment, 2004(6): 15-18.
［13］魏俊涛,杨晓春,杜萌萌,等.关中地区大气污染特征分析［J］.陕西气象,2022(1): 53-58.
WEI Juntao,YANG Xiaochun,DU Mengmeng, et al. Characterization of air pollution in Guanzhong region［J］. Shaanxi Meteorology, 2022(1): 53-58.
［14］李琪,周文林.新时代背景下西安城市高质量发展的策略探索［J］.规划师,2020, 36(24): 5-11.
LI Qi,ZHOU Wenlin. Exploration of strategies for high-quality development of Xi′an city in the context of the new era［J］. Planner, 2020, 36(24): 5-11.
［15］西安市人民政府门户网站. 20条措施集中攻坚 西安推进秋冬季大气污染防治［EB/OL］. (2022-10-15)［2022-10-15］.https://www.xa.gov.cn/xw/zwzx/bmdt/634a7d49f8fd1c4c21201c83.html
Xi′an Municipal People′s Government Portal. 20 Measures to Concentrate on Xi′an′s Prevention and Control of Air Pollution in Autumn and Winter［EB/OL］. (2022-10-15)［2022-10-15］.https://www.xa.gov.cn/xw/zwzx/bmdt/634a7d49f8fd1c4c21201c83.html
［16］庞杨,韩志伟,朱彬,等.利用WRFChem模拟研究京津冀地区夏季大气污染物的分布和演变［J］. 大气科学学报, 2013, 36(6): 674-682.
PANG Yang,HAN Zhiwei,ZHU Bin,et al. Distribution and evolution of atmospheric pollutants in BeijingTianjinHebei region in summer using WRF-Chem simulation［J］. Journal of Atmospheric Science, 2013, 36(6): 674-682.
［17］王明仕,何向东,曹景丽,等.区域城市化程度与大气污染的相关性研究——以河南省为例［J］.河南理工大学学报(自然科学版),2019,38(2):71-76.
WANG Mingshi,HE Xiangdong,CAO Jingli,et al. A study on the correlation between the degree of regional urbanization and air pollutiontaking Henan Province as an example［J］. Journal of Henan University of Technology (Natural Science Edition), 2019, 38(2): 71-76.
［18］关舒婧. 深圳市PM2.5时空分布及与土地利用关系研究［D］.重庆:西南大学,2019.
GUAN Shujing.Research on the spatial and temporal distribution of PM2.5 and its relationship with land use in Shenzhen ［D］. Chongqing:Southwest University,2019.
［19］国家环境保护总局. 环境空气质量自动监测技术规范: HJ/T 1932005［S］. 北京:中国环境科学出版社,2005.
State Bureau of Environment Protection. Technical specifications for automatic monitoring of ambient air quality: HJ/T 1932005［S］. Beijing: China Environmental Science Press, 2005.
［20］REN W, ZHAO J, MA X,et al.Analysis of the spatial differentiation and scale effects of the threedimensional architectural landscape in Xi′an, China［J］. PloS one, 2021, 16(12): e0261846
［21］李林耀,李雨娟,王晓琦,等.银川城区夏季臭氧污染成因分析［J］.环境科学与技术,2021,44(S2):50-54.
LI Linyao,LI Yujuan,WANG Xiaoqi,et al. Analysis of the causes of summer ozone pollution in Yinchuan city［J］. Environmental Science and Technology, 2021, 44(S2): 50-54.

备注/Memo

备注/Memo:
收稿日期:2023-02-16修回日期:2023-02-01
基金项目:陕西省社会科学基金项目(2018S18)；国家自然科学基金项目（51908039）；长安大学中央高校基本科研业务费专项资金（300102411201）
第一作者:马西娜(1986—)，女，博士，副教授，硕导，主要研究方向为城市生态环境及城市设计. E-mail：maxina861005@126.com
更新日期/Last Update: 2024-04-08