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Impact factors on expansion of built-up areas in Zhejiang Province, China

机译:中国浙江省建成区扩张的影响因素

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摘要

Built-up areas are the results of human activities. Not only are they the real reflection of human and society activities, but also one of the most important input parameters for the simulation of biogeochemical cycle. Therefore, it is very necessary to map the distribution of built-up areas and monitor their changes by using new technologies and methods at high spatiotemporal resolution. By combining technologies of GIS (Geographic Information System) and RS (Remote Sensing), this study mainly explored the expansion and driving factors of built-up areas at the beginning of the 21st century in Zhejiang Province, China. Firstly, it introduced the mapping processes of LULC (Land Use and Land Cover) based on the method which combined object-oriented method and binary decision tree. Then, it analyzed the expansion features of built-up areas in Zhejiang from 2000 to 2005 and 2005 to 2010. In addition to these, potential driving factors on the expansion of built-up areas were also explored, which contained physical geographical factors, railways, highways, rivers, urban centers, elevation, and slop. Results revealed that the expansions of built-up areas in Zhejiang from 2000 to 2005 and from 2005 to 2010 were very obvious and they showed high levels of variation in spatial heterogeneity. Except those, increased built-up areas with distance to railways, highways, rivers, and urban centers could be fitted with power function (y = o*x*), with minimum R2 of 0.9507 for urban centers from 2000 to 2005; the increased permillages of built-up areas to mean elevation and mean slop could be fitted with exponential functions (y = a*ebx), with minimum R2 of 0.6657 for mean slop from 2005 to 2010. Besides, government policy could also impact expansion of built-up areas. In a nutshell, a series of conclusions were obtained through this study about the spatial features and driving factors of evolution of built-up areas in Zhejiang from 2000 to 2010.
机译:建筑面积是人类活动的结果。它们不仅是人类和社会活动的真实反映,而且还是模拟生物地球化学循环的最重要输入参数之一。因此,非常有必要通过使用高时空分辨率的新技术和方法来绘制建筑物区域的分布图并监视其变化。通过结合GIS(地理信息系统)和RS(遥感)技术,本研究主要探讨了21世纪初中国浙江省建成区的扩展和驱动因素。首先介绍了基于面向对象的方法和二叉决策树相结合的方法LULC(土地利用与土地覆盖)的制图过程。然后,分析了浙江省2000年至2005年以及2005年至2010年建成区的扩展特征。除此之外,还探讨了影响建成区扩展的潜在驱动因素,其中包括自然地理因素,铁路,高速公路,河流,城市中心,海拔和坡度。结果表明,浙江省2000-2005年和2005-2010年建成区的扩张非常明显,并且空间异质性变化很大。除此之外,与铁路,公路,河流和城市中心的距离增加的建成区可以安装幂函数(y = o * x *),从2000年到2005年,城市中心的最低R2为0.9507;建成区每平方米增加的平均坡度和平均坡度可以采用指数函数(y = a * ebx),从2005年到2010年,平均坡度的最小R2为0.6657。此外,政府政策也可能影响到建成区。简而言之,通过这项研究,得出了关于2000年至2010年浙江省建成区空间特征及其演变成因的一系列结论。

著录项

  • 来源
  • 会议地点 Warsaw(PL)
  • 作者单位

    Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China,international Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;

    international Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Built-up Areas, Driving Factors, Object-Oriented Method, Remote Sensing, Zhejiang Province;

    机译:建成区,驱动因素,面向对象方法,遥感,浙江省;

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