基于县域单元的湖北省碳排放时空格局演变特征  

Spatio-temporal patterns of carbon emissions in Hubei province based on county level

作　　者：周玄德 窦文章[2] 詹庆明[3] 孜比布拉·司马义[4] 邓祖涛[1] 曾勇 ZHOU Xuande;DOU Wenzhang;ZHAN Qingming;Zibibula·Simayi;DENG Zutao;ZENG Yong(School of Tourism and Hospitality Management,Hubei University of Economics,Wuhan 430205,China;School of Software&Microelectronics,Peking University,Beijing 102600,China;School of Urban Design,Wuhan University,Wuhan 430072,China;College of Recourse and Environmental Science of Xinjiang University,Urumqi 830046,China;Guizhou Duyun Economic Development Zone,Duyun 550402,China)

机构地区：[1]湖北经济学院旅游与酒店管理学院,湖北武汉430205 [2]北京大学软件与微电子学院,北京102600 [3]武汉大学城市设计学院,湖北武汉430072 [4]新疆大学资源与环境科学学院,新疆乌鲁木齐830046 [5]贵州都匀经济开发区产业发展局,贵州都匀550402

出　　处：《测绘通报》2022年第11期149-156,161,共9页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(41661036,51878515);湖北省教育厅项目(Q20202203,20Q122);校级培育项目(PYYB201907);校级青年项目(XJ201913)。

摘　　要：识别碳排放区域异质性对于制定有效的碳减排政策具有重要意义。本文运用线性回归模型、变异系数法、Hurst指数和空间自相关分析方法,开展湖北省县域碳排放空间格局演变特征研究。结果表明,1997—2017年间,湖北省碳排放总体呈显著的波动上升趋势,年均增速高达4.74%;各县域碳排放变化波动性存在显著地域差异,整体呈“中低波动居多,高波动较少”的趋势;各县域碳排放变化长期相关性特征明显,整体以中强持续性特征为主,比例达70%,分布相对较广,其中强持续性区域主要集中在武汉市内;各县域碳排放空间分布聚集效应显著,呈以武汉为核心向周围不断辐射的圈层格局。Identifying the regional heterogeneity of carbon emissions is crucial for formulating effective carbon emission reduction policies. This paper uses the linear regression model, the coefficient of variation method, the Hurst index and the spatial autocorrelation analysis method to study the evolution characteristics of the spatial pattern of carbon emissions in Hubei Province. The results show that from 1997 to 2017, the carbon emission in Hubei province showed a significant upward trend of fluctuation, with an average annual growth rate of 4.74%;there were significant regional differences in the variability of carbon emission changes in the counties, and the overall presentation is “low-to-medium fluctuations, mostly high fluctuations”. The long-term correlation characteristics of carbon emission changes in the counties are obvious, and the overall characteristics are mainly moderate and strong persistence characteristics, accounting for 70%, and the distribution is relatively wide, among which the strong persistence areas are mainly concentrated in Wuhan;The spatial distribution of carbon emissions in the county area has a significant aggregation effect, showing a circle pattern with Wuhan as the core radiating continuously to the surrounding area.

关 键 词：碳排放 时空格局 趋势分析 HURST指数 湖北省 

分 类 号：P208[天文地球—地图制图学与地理信息工程]