基于ArcGIS与聚类分析的公路水土保持监测布局 ——以赛白高速为例

陈琳,刘涛,崔慧珊,邬春龙

交通运输研究 ›› 2017, Vol. 3 ›› Issue (4) : 22-29.

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交通运输研究 ›› 2017, Vol. 3 ›› Issue (4) : 22-29.
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基于ArcGIS与聚类分析的公路水土保持监测布局 ——以赛白高速为例

  • 陈琳,刘涛,崔慧珊,邬春龙
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Exploration of Highway Soil and Water Conservation Monitoring Layout Based on ArcGIS and Cluster Analysis: A Case Study of Sai-Bai Expressway

  • CHEN Lin, LIU Tao, CUI Hui-shan and WU Chun-long
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摘要

为了解决公路项目水土保持监测点布局困难的问题,综合应用GIS 和多元统计技术探究了公路水土保持监测布局方法。首先,在ArcGIS软件的支持下,通过GIS空间查询并提取各备选监测点位(选择间隔为1km或5km) 的水土流失影响因子;然后采用SPSS 软件运用模糊聚类分析方法对备选监测点位进行分类;最后结合现场调查,甄选出适宜的水土保持监测点位。在赛白高速上的应用实例显示,从32 个备选监测点位中分类筛选出7 个代表性监测点位,与传统的布局方法相比,得到的水土保持监测布局法可有效指导现场监测工作。

Abstract

In order to solve the problem of difficult layout of soil and water conservation monitoring points for expressway, GIS and multivariate statistical techniques were comprehensively applied to explore the layout methods of expressway soil and water conservation monitoring. Firstly, under the support of software ArcGIS, the influencing factors of soil and water loss were selected and retrieved by GIS spa⁃ tial query. Secondly, software SPSS was used to analyze the alternative monitoring point of the classifica⁃ tion. Finally, combined with on-site investigation, the appropriate soil and water conservation monitor⁃ ing points were selected. The results show that 7 representative monitoring points can be sorted out by 32 candidate monitoring points in the case of Sai-Bai expressway application. Compared with the traditional layout method, this method for the soil and water conservation monitoring layout can effectively guide the field monitoring work.

关键词

水土保持监测 / 监测点布局 / 聚类分析 / ArcGIS / 赛白高速

Key words

soil and water conservation monitoring / monitoring points layout / cluster analysis / Arc GIS / Sai-Bai expressway

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陈琳,刘涛,崔慧珊,邬春龙. 基于ArcGIS与聚类分析的公路水土保持监测布局 ——以赛白高速为例[J]. 交通运输研究. 2017, 3(4): 22-29
CHEN Lin, LIU Tao, CUI Hui-shan and WU Chun-long. Exploration of Highway Soil and Water Conservation Monitoring Layout Based on ArcGIS and Cluster Analysis: A Case Study of Sai-Bai Expressway[J]. Transport Research. 2017, 3(4): 22-29

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