Article(id=1242139828993733537, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139820500267907, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2022.07.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1600358400000, receivedDateStr=2020-09-18, revisedDate=1609948800000, revisedDateStr=2021-01-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1654855626393, onlineDateStr=2022-06-10, pubDate=1649779200000, pubDateStr=2022-04-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1654855626393, onlineIssueDateStr=2022-06-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078813070, creator=sys-migrate, updateTime=1774078813070, updator=sys-migrate, issue=Issue{id=1242139820500267907, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='7', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1649779200000', pubDateStr='2022-04-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078811045, creator='sys-migrate', updateTime=1774078811045, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=54, endPage=64, ext={EN=ArticleExt(id=1242139834333082570, articleId=1242139828993733537, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Matching relationship and influencing factors between urban air quality and land intensive use in Chinese cities, columnId=1242139830784701358, journalTitle=Science & Technology Review, columnName=Exclusive: Green and low carbon empower carbon neutrality, runingTitle=null, highlight=null, articleAbstract=It is of great significance to study the interaction between air quality and land intensive use and the influencing factors from the point of view of space matching. This paper uses trend surface, spatial autocorrelation, gravity model, spatial dislocation model, grey correlation model and other methods to analyze the spatial differentiation law, spatial matching relationship and driving factors of air quality and land intensive use level in 290 cities across China. The results are as follows 1) In 2017, the air quality in cities across the country showed a central-peripheral structure with the central and southern Hebei urban agglomeration as the core and gradually improved outward, being an obvious agglomeration characteristic; the level of intensive use of urban land across the country presented a multi-core spatial structure with the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations being the cores, and their agglomeration characteristics were also obvious. 2) The air quality and the level of intensive land use in cities across the country were not spatially coordinated and matched, and the negative dislocation areas were mainly distributed in the Beijing-Tianjin-Hebei and Yangtze River Delta urban agglomerations, and the dislocation intensity presented a core-periphery spatial structure, the positive dislocation areas were distributed in the northeast, southwest, northwest and southern coastal areas, and the dislocation intensity presented a spatial distribution pattern decreasing from southeast to northwest; contributions of spatial dislocation had obvious regional differences, especially in the eastern region(. 3) The overall correlation between the indicators of national urban air quality and land intensive use was strong, in which the concentration of pollutants that affect air quality, the vegetation NDVI that affects the intensive use of land, the greening rate of built-up areas, and the land factors such as the average discharge of industrial wastewater were the main reasons for the spatial dislocation of the two systems., authors=YANG Qunye1 , LIANG Yanqing1,2 , HUANG Zhiying3 , CUI Liye4 , MA Wanli1,2 , GE Jingfeng1,2 , authorsList=YANG Qunye, LIANG Yanqing, HUANG Zhiying, CUI Liye, MA Wanli, GE Jingfeng, authorCompany=1. College of Resource and Environmental Science, Hebei Normal University, Shijiazhuang 050024, China;1 , 梁彦庆1,2 , 黄志英3 , 崔立烨4 , 马万里1,2 , 葛京凤1,2 , authorsList=杨群叶, 梁彦庆, 黄志英, 崔立烨, 马万里, 葛京凤, authorCompany=1. 河北师范大学地理科学学院, 石家庄 050024;
科技导报
| 专题：绿色低碳赋能碳中和 2022, 40(7): 54-64
中国城市空气质量与土地集约利用的匹配关系及影响因素
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杨群叶1 , 梁彦庆1,2 , 黄志英3 , 崔立烨4 , 马万里1,2 , 葛京凤1,2
作者信息
1. 河北师范大学地理科学学院, 石家庄 050024;
通讯作者:
梁彦庆(通信作者),副教授,研究方向为资源评价与规划、区域经济与土地利用,电子信箱:liangyanqing@126.com
Matching relationship and influencing factors between urban air quality and land intensive use in Chinese cities
Affiliations
出版时间: 2022-04-13
doi: 10.3981/j.issn.1000-7857.2022.07.006
文章导航
从空间匹配角度探究空气质量与土地集约利用的相互作用关系及影响因素，对缓解空气污染、创新城市节约集约用地新模式具有重要意义。利用趋势面、空间自相关、重力模型、空间错位模型、灰色关联度模型等方法对全国290个地级及以上城市空气质量与土地集约利用水平的空间分异规律、空间匹配关系及其驱动因素进行探讨。结果表明：（1）2017年全国城市空气质量在空间上呈现出以冀中南城市群为核心向外逐渐好转的中心—外围结构，集聚特征显著；全国城市土地集约利用水平在空间上呈现出以京津冀、长三角、珠三角城市群为核心向外扩散的多核空间结构，集聚特征亦比较明显。（2）全国城市空气质量与土地集约利用水平在空间上存在不完全协同、匹配现象，负向错位区主要分布在京津冀和长三角城市群，错位强度呈核心—边缘的空间结构，正向错位区分布在东北、西南、西北和南部沿海地区，错位强度呈现出由东南向西北方向递减的空间分布格局；空间错位贡献度具有明显的地域差异性，东部地区尤为突出。（3）全国城市空气质量与土地集约利用两系统总体关联度较强，其中影响空气质量的污染物浓度以及影响土地集约利用的归一化植被指数（NDVI）、建成区绿化率和地均工业废水排放量等因素为造成两系统空间错位差异的主要原因。
空气质量
/
土地集约利用
/
空间匹配
/
灰色关联度
/
中国地级及以上城市
It is of great significance to study the interaction between air quality and land intensive use and the influencing factors from the point of view of space matching. This paper uses trend surface, spatial autocorrelation, gravity model, spatial dislocation model, grey correlation model and other methods to analyze the spatial differentiation law, spatial matching relationship and driving factors of air quality and land intensive use level in 290 cities across China. The results are as follows 1) In 2017, the air quality in cities across the country showed a central-peripheral structure with the central and southern Hebei urban agglomeration as the core and gradually improved outward, being an obvious agglomeration characteristic; the level of intensive use of urban land across the country presented a multi-core spatial structure with the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations being the cores, and their agglomeration characteristics were also obvious. 2) The air quality and the level of intensive land use in cities across the country were not spatially coordinated and matched, and the negative dislocation areas were mainly distributed in the Beijing-Tianjin-Hebei and Yangtze River Delta urban agglomerations, and the dislocation intensity presented a core-periphery spatial structure, the positive dislocation areas were distributed in the northeast, southwest, northwest and southern coastal areas, and the dislocation intensity presented a spatial distribution pattern decreasing from southeast to northwest; contributions of spatial dislocation had obvious regional differences, especially in the eastern region(. 3) The overall correlation between the indicators of national urban air quality and land intensive use was strong, in which the concentration of pollutants that affect air quality, the vegetation NDVI that affects the intensive use of land, the greening rate of built-up areas, and the land factors such as the average discharge of industrial wastewater were the main reasons for the spatial dislocation of the two systems.
air quality
/
land intensive use
/
spatial matching
/
gray correlation
/
cities at prefecture level and above in China
杨群叶, 梁彦庆, 黄志英, 崔立烨, 马万里, 葛京凤.
中国城市空气质量与土地集约利用的匹配关系及影响因素.
科技导报,
2022
, 40
(7)
: 54
-64
.
DOI: 10.3981/j.issn.1000-7857.2022.07.006
YANG Qunye, LIANG Yanqing, HUANG Zhiying, CUI Liye, MA Wanli, GE Jingfeng.
Matching relationship and influencing factors between urban air quality and land intensive use in Chinese cities[J].
Science & Technology Review ,
2022
, 40
(7)
: 54
-64
.
DOI: 10.3981/j.issn.1000-7857.2022.07.006
2022年第40卷第7期
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文章信息
doi: 10.3981/j.issn.1000-7857.2022.07.006
接收时间：2020-09-18
首发时间：2022-06-10
出版时间：2022-04-13
收稿日期：2020-09-18
修回日期：2021-01-07
通讯作者:
梁彦庆(通信作者),副教授,研究方向为资源评价与规划、区域经济与土地利用,电子信箱:liangyanqing@126.com
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2022.07.006
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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