摘要
不透水面是衡量城市化水平的重要因子,其发展趋势对城市发展规划和生态环境具有重要意义。厦门市作为经济特区,城市化率高,剖析其不透水面演变规律具有典型性。采用线性光谱混合分解法获取不透水面信息,从时间和空间角度出发,引入转移矩阵、中位数中心来揭示厦门市不透水面的演变规律,为城市发展提供一定的理论依据。结果表明:(1)厦门市2003—2019年不透水面扩张显著,增加了1.46倍,具体表现为由各区中心向周边地区扩展和沿交通道路蔓延;(2)厦门市2003—2019年城市建设用地增加,农用地和裸地明显减少。同时,低密度等级不透水面大量减少,其他等级密度不断增加,不透水面聚集效应出现,土地利用程度提高;(3)厦门岛受限于地形,城市建设较为集中,中位数中心较为稳定,而其余四岛中位数中心移动较为显著。
Impervious surface is an important factor to measure urbanization level and its development trend is of great significance to urban development planning and ecological environment.Xiamen has a high urbanization rate,where it is typical to analyze the evolution law of its impervious surface.The linear spectral mixed decomposition method is used to obtain impervious surface information.From the perspective of time and space,the transfer matrix and median center are introduced to reveal impervious surface evolution of in Xiamen.Results show that,(1)from 2003 to 2019,the impervious surface expanded significantly,increased by 1.46 times,and the specific performance is that the center of each district expanded to the surrounding areas and spread along the traffic roads.(2)From 2003 to 2019,the urban construction land area in Xiamen increased,while the agricultural land and bare land decreased significantly.Meanwhile,the impervious surface of low-density grade decreased significantly,the density of other grades increased,the aggregation effect of impervious surface appeared,and the degree of land use improved.(3)Xiamen Island is limited by topography,urban construction is relatively concentrated,and the median center is relatively stable,while the other four islands move significantly.
作者
宋小琪
林志垒
SONG Xiaoqi;LIN Zhilei(School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China;Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters,Fujian Normal University,Fuzhou 350007,China)
出处
《亚热带资源与环境学报》
2022年第1期79-86,共8页
Journal of Subtropical Resources and Environment
基金
福建省自然科学基金项目(2017J01463)。
关键词
不透水面
景观格局
时空演变特征
厦门市
impervious surface
landscape pattern
spatiotemporal evolution
Xiamen City