• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

城市功能碎片化对中国人为排放限制下二氧化氮（NO）变化的影响。

Effects of urban functional fragmentation on nitrogen dioxide (NO) variation with anthropogenic-emission restriction in China.

机构信息

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.

Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.

出版信息

Sci Rep. 2021 Jun 7;11(1):11908. doi: 10.1038/s41598-021-91236-w.

DOI:10.1038/s41598-021-91236-w
PMID:34099757
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8184851/
Abstract

Urban functional fragmentation plays an important role in assessing Nitrogen Dioxide (NO) emissions and variations. While the mediated impact of anthropogenic-emission restriction has not been comprehensively discussed, the lockdown response to the novel coronavirus disease 2019 (COVID-19) provides an unprecedented opportunity to meet this goal. This study proposes a new idea to explore the effects of urban functional fragmentation on NO variation with anthropogenic-emission restriction in China. First, NO variations are quantified by an Autoregressive Integrated Moving Average with external variables-Dynamic Time Warping (SARIMAX-DTW)-based model. Then, urban functional fragmentation indices including industrial/public Edge Density (ED) and Landscape Shape Index (LSI), urban functional Aggregation Index (AI) and Number of Patches (NP) are developed. Finally, the mediated impacts of anthropogenic-emission restriction are assessed by evaluating the fragmentation-NO variation association before and during the lockdown during COVID-19. The findings reveal negative effects of industrial ED, public LSI, urban functional AI and NP and positive effects of public ED and industrial LSI on NO variation based on the restricted anthropogenic emissions. By comparing the association analysis before and during lockdown, the mediated impact of anthropogenic-emission restriction is revealed to partially increase the effect of industrial ED, industrial LSI, public LSI, urban functional AI and NP and decrease the effect of public ED on NO variation. This study provides scientific findings for redesigning the urban environment in related to the urban functional configuration to mitigating the air pollution, ultimately developing sustainable societies.

摘要

城市功能碎片化在评估二氧化氮（NO）排放和变化方面起着重要作用。虽然人为排放限制的中介影响尚未得到全面讨论，但针对 2019 年新型冠状病毒病（COVID-19）的封锁反应提供了一个前所未有的机会来实现这一目标。本研究提出了一个新的想法，即在考虑人为排放限制的情况下，探索城市功能碎片化对中国 NO 变化的影响。首先，通过基于自回归综合移动平均的外部变量-动态时间规整（SARIMAX-DTW）模型来量化 NO 的变化。然后，开发了城市功能碎片化指数，包括工业/公共边缘密度（ED）和景观形状指数（LSI）、城市功能聚集指数（AI）和斑块数（NP）。最后，通过评估 COVID-19 封锁期间和之前人为排放限制的碎片化-NO 变化关联，评估人为排放限制的中介影响。研究结果表明，基于人为排放限制，工业 ED、公共 LSI、城市功能 AI 和 NP 对 NO 变化具有负效应，公共 ED 和工业 LSI 对 NO 变化具有正效应。通过比较封锁前后的关联分析，揭示了人为排放限制的中介影响部分增加了工业 ED、工业 LSI、公共 LSI、城市功能 AI 和 NP 的影响，并降低了公共 ED 对 NO 变化的影响。本研究为重新设计与城市功能配置相关的城市环境提供了科学依据，以减轻空气污染，最终建设可持续发展的社会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/77ad98be0ddf/41598_2021_91236_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/44b6930571e2/41598_2021_91236_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/392935720cfe/41598_2021_91236_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/d205ecfd8d3e/41598_2021_91236_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/caaf48168d4f/41598_2021_91236_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/aa75f9ba1d8e/41598_2021_91236_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/6374295f515f/41598_2021_91236_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/77ad98be0ddf/41598_2021_91236_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/44b6930571e2/41598_2021_91236_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/392935720cfe/41598_2021_91236_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/d205ecfd8d3e/41598_2021_91236_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/caaf48168d4f/41598_2021_91236_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/aa75f9ba1d8e/41598_2021_91236_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/6374295f515f/41598_2021_91236_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386b/8184851/77ad98be0ddf/41598_2021_91236_Fig7_HTML.jpg

相似文献

1
Effects of urban functional fragmentation on nitrogen dioxide (NO) variation with anthropogenic-emission restriction in China.城市功能碎片化对中国人为排放限制下二氧化氮（NO）变化的影响。
Sci Rep. 2021 Jun 7;11(1):11908. doi: 10.1038/s41598-021-91236-w.
2
Unexpected rise of ozone in urban and rural areas, and sulfur dioxide in rural areas during the coronavirus city lockdown in Hangzhou, China: implications for air quality.中国杭州实施新冠疫情城市封锁期间，城乡地区臭氧意外上升，农村地区二氧化硫上升：对空气质量的影响
Environ Chem Lett. 2020;18(5):1713-1723. doi: 10.1007/s10311-020-01028-3. Epub 2020 Jun 12.
3
Distinct urban-rural gradients of air NO and SO concentrations in response to emission reductions during 2015-2022 in Beijing, China.中国北京 2015-2022 年减排期间空气 NO 和 SO 浓度的城乡梯度差异。
Environ Pollut. 2023 Sep 15;333:122021. doi: 10.1016/j.envpol.2023.122021. Epub 2023 Jun 18.
4
Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China.评估中国长江三角洲地区城市形态和城市化进程对对流层二氧化氮污染的影响。
Environ Pollut. 2023 Nov 1;336:122436. doi: 10.1016/j.envpol.2023.122436. Epub 2023 Aug 26.
5
The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.拥堵收费计划对伦敦空气质量的影响。第1部分。排放建模与空气污染测量分析。
Res Rep Health Eff Inst. 2011 Apr(155):5-71.
6
Nitrogen oxides concentration and emission change detection during COVID-19 restrictions in North India.新冠疫情期间印度北部氮氧化物浓度和排放量变化的检测。
Sci Rep. 2021 May 7;11(1):9800. doi: 10.1038/s41598-021-87673-2.
7
A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions.一项旨在了解人为排放异常低的情况下空气质量变化的全球观测分析。
Environ Int. 2021 Dec;157:106818. doi: 10.1016/j.envint.2021.106818. Epub 2021 Aug 20.
8
The effectiveness of traffic and production restrictions on urban air quality: A rare opportunity for investigation.交通和生产限制对城市空气质量的影响：一个难得的调查机会。
J Air Waste Manag Assoc. 2023 Mar;73(3):225-239. doi: 10.1080/10962247.2022.2115161. Epub 2023 Feb 14.
9
[Impacts of Emission and Meteorological Conditions on Air Pollutants at Various Sites Around the COVID-19 Lockdown in Wuhan].[排放与气象条件对武汉新冠疫情封控期间各站点空气污染物的影响]
Huan Jing Ke Xue. 2023 Feb 8;44(2):670-679. doi: 10.13227/j.hjkx.202203269.
10
Environmental impacts of shifts in energy, emissions, and urban heat island during the COVID-19 lockdown across Pakistan.巴基斯坦新冠疫情封锁期间能源、排放及城市热岛效应变化对环境的影响
J Clean Prod. 2021 Apr 1;291:125806. doi: 10.1016/j.jclepro.2021.125806. Epub 2021 Jan 4.

本文引用的文献

1
Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018.中国基本城市土地利用类别测绘（EULUC-中国）：2018年初步结果
Sci Bull (Beijing). 2020 Feb 15;65(3):182-187. doi: 10.1016/j.scib.2019.12.007. Epub 2019 Dec 10.
2
Urban and air pollution: a multi-city study of long-term effects of urban landscape patterns on air quality trends.城市与空气污染：多城市研究揭示城市景观格局对空气质量变化趋势的长期影响。
Sci Rep. 2020 Oct 29;10(1):18618. doi: 10.1038/s41598-020-74524-9.
3
Temporary reduction in air pollution due to anthropogenic activity switch-off during COVID-19 lockdown in northern parts of India.
印度北部在新冠疫情封锁期间因人为活动停止导致空气污染暂时减少。
Environ Dev Sustain. 2021;23(6):8774-8797. doi: 10.1007/s10668-020-00994-6. Epub 2020 Sep 24.
4
Disentangling the Impact of the COVID-19 Lockdowns on Urban NO From Natural Variability.厘清新冠疫情封锁对城市一氧化氮自然变化的影响。
Geophys Res Lett. 2020 Sep 16;47(17):e2020GL089269. doi: 10.1029/2020GL089269. Epub 2020 Sep 5.
5
Methodological Considerations for Epidemiological Studies of Air Pollution and the SARS and COVID-19 Coronavirus Outbreaks.大气污染与 SARS 和 COVID-19 冠状病毒爆发的流行病学研究方法学考虑。
Environ Health Perspect. 2020 Sep;128(9):95001. doi: 10.1289/EHP7411. Epub 2020 Sep 9.
6
Valuation of air pollution externalities: comparative assessment of economic damage and emission reduction under COVID-19 lockdown.空气污染外部性的估值：新冠疫情封锁期间经济损害与减排的比较评估
Air Qual Atmos Health. 2020;13(6):683-694. doi: 10.1007/s11869-020-00845-3. Epub 2020 Jun 10.
7
COVID-19: air pollution remains low as people stay at home.新冠疫情：人们居家期间空气污染水平持续较低。
Air Qual Atmos Health. 2020;13(7):853-857. doi: 10.1007/s11869-020-00842-6. Epub 2020 May 21.
8
Air pollution aggravating COVID-19 lethality? Exploration in Asian cities using statistical models.空气污染会加剧新冠病毒的致死率？利用统计模型对亚洲城市的探索。
Environ Dev Sustain. 2021;23(4):6408-6417. doi: 10.1007/s10668-020-00878-9. Epub 2020 Jul 15.
9
Understanding COVID-19 transmission through Bayesian probabilistic modeling and GIS-based Voronoi approach: a policy perspective.从政策角度看，通过贝叶斯概率建模和基于地理信息系统的Voronoi方法理解新冠病毒传播。
Environ Dev Sustain. 2021;23(4):5846-5864. doi: 10.1007/s10668-020-00849-0. Epub 2020 Jul 8.
10
COVID-19 lockdowns cause global air pollution declines.新冠疫情封锁措施导致全球空气污染下降。
Proc Natl Acad Sci U S A. 2020 Aug 11;117(32):18984-18990. doi: 10.1073/pnas.2006853117. Epub 2020 Jul 28.