摘要
基于2000~2020年“类NPP/VIIRS”夜光遥感数据集,采用改进的统计分析法对乌鲁木齐市的城市建成区进行提取。以扩张速度、扩张强度分析时间特征,以质心偏移分析空间特征,采用斑块密度、平均边界密度、平均分维数等分析景观格局,从经济、人口、交通等角度选取13个驱动因子进行灰色关联度分析。结果表明:2000~2020年间,乌鲁木齐市的各个时间特征指标均呈先上升后下降趋势,扩张模式由中速、高速转为快速;2000~2020年间的质心位于新市区,并逐步向西、向北偏移;2000~2020年间,乌鲁木齐市城市建成区在持续扩张,形状趋于复杂,建成区的破碎程度较低;地方财政收入、第三产业和绿地面积的关联度为较高,分别为0.5891、0.5884、0.5844。乌鲁木齐市建成区的扩张受多种因素影响,在未来几年会更注重内部空间优化,仍会缓慢扩张。
Based on the NPP/VIIRS luminous remote sensing dataset from 2000 to 2020,this paper used an improved statistical analysis method to extract the urban built-up area of Urumqi.The temporal characteristics such as expansion velocity and expansion intensity were analyzed.The spatial characteristics were analyzed by centroid shift;the patch density,average boundary density,and average sub-dimension were used to analyze the landscape pattern,and 13 driving factors were selected for grey correlation analysis from the perspectives of economy,population and transportation.The results show that:From 2000 to 2020,the temporal characteristic indicators of Urumqi show a trend of first rising and then declining,and the expansion mode changes from medium speed and high speed to rapid;From 2000 to 2020,the center of mass located in the new urban area gradually shifts to the west and north;From 2000 to 2020,the urban built-up area of Urumqi continues to expand;the shape tended to be complex,and the degree of fragmentation of the built-up area is low;The correlations between local fiscal revenue,tertiary industry and green space area are relatively high,0.5891,0.5884 and 0.5844,respectively.The expansion of the built-up area in Urumqi is affected by many factors.In the next few years,more attention will be paid to the optimization of internal space,and it will still expand slowly.
作者
邓文彬
翟春春
Deng Wenbin;Zhai Chunchun(College of Civil Engineering and Architectural,Xinjiang University,Urumqi,Xinjiang 830046,China)
出处
《绿色科技》
2023年第7期241-246,252,共7页
Journal of Green Science and Technology
基金
新疆维吾尔自治区自然科学基金资助项目(编号:2022D01C5)。
关键词
夜光遥感
质心偏移
景观格局指数
灰色关联度
nighttime light remote sensing
centroid offset
landscape pattern index
grey correlation