检索
E-mail
RSS

作者投稿 主编审稿 专家审稿 远程编辑

热带海洋学报 ›› 2014, Vol. 33 ›› Issue (3): 66-71.doi: 10.11978/j.issn.1009-5470.2014.03.010cstr: 32234.14.j.issn.1009-5470.2014.03.010

• 海洋环境保护 • 上一篇    下一篇

基于遥感的滨海湿地退化及其驱动力研究

林洁贞1, 3, 金辉1, 2   

  1. 1. 中山大学环境科学与工程学院, 广东 广州 510275; 2. 广东省环境污染控制与修复技术重点实验室, 广东 广州 510275; 3. 中山大学港澳珠江三角洲研究中心, 广东 广州 510275
  • 收稿日期:2012-06-30 修回日期:2012-12-04 出版日期:2014-05-29 发布日期:2014-05-30
  • 通讯作者: 金辉(1965~), 男, 博士, 副教授, 水环境规划与修复研究。E-mail: eesjh@mail.sysu.edu.cn
  • 作者简介:林洁贞(1985~), 女, 硕士, 研究方向为水环境规划。E-mail: tuliplin1012@163.com
  • 基金资助:
    广东省科技厅科技计划项目(2010420004202034)

Research on the driving force of degraded coastal wetlands based on multi-source remote sensing data

LIN Jie-zhen1, 3, JIN Hui1, 2   

  1. 1. School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China; 2. Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou 510275, China; 3. The Center for Studies of Hong Kong, Macao and Pearl River Delta, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2012-06-30 Revised:2012-12-04 Online:2014-05-29 Published:2014-05-30

PDF (PC)

赞

被引次数

8 | 1

摘要： 文章以1997~2008年为时间尺度, 研究珠海市滨海湿地的动态变化。在对研究区域进行实地调查的基础上, 以1997、2000、2004、2008年4期Thematic Mapper(专题测图仪)影像为信息源, 结合其他调查统计资料, 以地理信息系统作为支撑, 建立了适合珠海市的滨海湿地分类系统, 提取了滨海湿地的相关信息。在此基础上选取珠海市的一些社会经济指标, 借助统计分析软件SPSS, 利用典型相关分析方法, 揭示了各类湿地面积变化与社会、经济各要素之间的相关关系, 对引起滨海湿地变化的驱动力进行了研究。

Abstract: Based on the research from the time scale from 1997 to 2008, we aim to study the coastal wetlands’ dynamic changes in Zhuhai City. Taking the 1997, 2000, 2004, and 2008 images as the information sources, in combination with other survey data and the support of the geographic information system, a landscape classification system for Zhuhai City was set up and related landscape information was extracted. On that basis, we select some socio-economic indicator of Zhuhai City. With the help of statistic software of SPSS and using canonical correlation analysis, we proclaim the correlation correlativity between the area change of each kind of coastal wetland and the elements of economic and society, and carry on research on the driving force that causes the coastal wetlands’ changes.