测绘通报 ›› 2018, Vol. 0 ›› Issue (5): 48-53.doi: 10.13474/j.cnki.11-2246.2018.0142

• 学术研究 • 上一篇    下一篇

矿业城市景观格局时空演变分析——以淮南市潘集区为例

于伟宣1, 毛亚2, 刘樾1, 林萌1, 肖锐1   

  1. 1. 武汉大学遥感信息工程学院, 湖北 武汉 430079;
    2. 中国矿业大学环境与测绘学院, 江苏 徐州 221116
  • 收稿日期:2017-08-28 出版日期:2018-05-25 发布日期:2018-05-31
  • 通讯作者: 肖锐。E-mail:rxiao@whu.edu.cn E-mail:rxiao@whu.edu.cn
  • 作者简介:于伟宣(1995-),男,硕士生,主要从事遥感数据挖掘及景观生态学研究。E-mail:wxyu@whu.edu.cn
  • 基金资助:

    国家自然科学基金(41701484)

Spatiotemporal Evolution of Landscape Pattern in Mining Cities: A Case Study in Panji District of Huainan

YU Weixuan1, MAO Ya2, LIU Yue1, LIN Meng1, XIAO Rui1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    2. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2017-08-28 Online:2018-05-25 Published:2018-05-31

摘要:

以淮南市潘集区2005、2009和2013年3期遥感影像为数据源,以景观生态学理论为基础,结合遥感与地理信息系统技术,定量分析了潘集区近10年来土地利用动态变化和景观格局时空演变特征。结果表明,2005—2013年间潘集区建设用地面积大幅度增加,景观多样性随时间推移整体呈下降趋势。研究区内由于煤炭资源开发等人类活动的影响,出现了大量采空区积水,使得区域内景观格局变化十分复杂。本文试图探讨矿业城市人类活动影响下景观格局变化的一般规律,为相关政府部门城市规划及科学决策提供参考。

关键词: 景观指数, 景观格局演变, 潘集区

Abstract:

Based on the theory of landscape ecology and combining the RS and GIS,this paper analyzes the dynamic changes of land use and the spatiotemporal evolution characters of landscape pattern in Panji district in recent 10 years,through the remote sensing images in 2005,2009 and 2013.The results show that the area of construction land in Panji district has increased significantly from 2005 to 2013,and the landscape diversity has a decreasing trend over time.Due to the influence of human activities such as coal resources exploitation in the study area,a large amount of goaf water has appeared,which makes the landscape pattern change very complicated.This paper attempts to explore the general pattern of the change of landscape pattern under the influence of human activities in mining cities,and provides reference for urban planning and scientific decision-making in relevant government departments.

Key words: landscape index, landscape pattern change, Panji district

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