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地理数据可视化:CZML与KML语言及其比较研究
  • ISSN号:1672-5867
  • 期刊名称:《测绘与空间地理信息》
  • 时间:0
  • 分类:X43[环境科学与工程—灾害防治]
  • 作者机构:[1]华东师范大学地理信息科学教育部重点实验室,上海200241, [2]云南省地图院,云南昆明650034
  • 相关基金:国家自然科学基金资助项目(J1310028)
作者: 张彧, 朱良峰
中文摘要:

以保山市隆阳区为研究区,选取滑坡、泥石流和不稳定斜坡3种典型地质灾害类型为对象,综合运用GIS技术与多种空间点模式分析方法对地质灾害的集聚特征进行定量分析,并划定其空间集聚热点区域.研究结果表明:隆阳区内滑坡、泥石流和不稳定斜坡灾害均呈显著的空间集聚特征,且集聚程度和规模随观测尺度的变化而变化;各地质灾害的空间集聚特征差异明显,形成了不同的空间集聚模式;不同地质灾害类型在空间热点分布上差异与共生现象并存.管理者在灾害治理工作中需采用区别治理与统一治理相结合的综合治理方案.

英文摘要:

By examining the spatial clustering characteristic of geological disaster and demarcating the corresponding spatial hot spot,we can provide important support for making sound decisions on geographical disaster prevention and allocation of disaster prevention resources. Taking Longyang district,Baoshan city as study area,landslide and debris flow,unstable slope of 3 kinds of typical geological disaster was selected as study targets,this article combine GIS technology with a variety of spatial point pattern analysis method to study on the spatial clustering characteristics and spatial hot spots of geological disasters. Conclusions are drawn as follows:Generally speaking,landslide and debris flow,unstable slope in study area are significantly agglomerated,and the agglomeration degree changing with the spatial scale; spatial agglomeration of each geological disaster presented different characteristics,different spatial clustering patterns was formed. From the perspective of spatial clustering hot spots,there are both symbiosis phenomenon and different hot spots among different geological disasters. Therefore,the manager department should make a comprehensive treatment plan which is combined differential treatment with comprehensive harnessing.

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期刊信息
  • 《测绘与空间地理信息》
  • 主管单位:黑龙江测绘地理信息局
  • 主办单位:黑龙江省测绘地理信息学会
  • 主编:鲍英华
  • 地址:哈尔滨市南岗区测绘路32号
  • 邮编:150025
  • 邮箱:smgis@163.net
  • 电话:0451-86622173
  • 国际标准刊号:ISSN:1672-5867
  • 国内统一刊号:ISSN:23-1520/P
  • 邮发代号:14-5
  • 获奖情况:
  • 连续多年获中国测绘协会优秀期刊奖
  • 国内外数据库收录:
  • 被引量:12393