摘要
不透水层是指能够隔离地表水渗透到土壤的覆盖表面,以不透水层分布变化来研究铜川城市化进程。利用决策树分类结合生物物理成分指数(BCI)和裸土指数(MBSI)的方法对1986,1991,1996,2002,2007,2012和2017年的遥感影像数进行不透水层提取,采用指标分析、重心轨迹偏移等方法探究不透水层空间扩展特征,并结合统计年鉴、DEM数据研究铜川市不透水层扩展驱动机制。结果表明:文中提出的基于决策树分类模型结合BCI和MBSI的方法对不透水层提取与验证数据的拟合优度达到0.88.铜川市的不透水层面积持续增加,面积从1986年的5.7 km 2增加到2017年的61.5 km 2,年均增长速度高达1.8%,特别是2007—2017年是快速城市化时期,增长面积占31 a变化总面积的69.3%.不透水层的重心呈先北后南的阶段性变化,1986—2002年向北移动,2002—2007年向南移动,2007—2017年继续向西南方向移动。通过对驱动力指标分析表明,经济及人口增长对不透水层扩展有着直接推动作用,矿产资源分布、地理环境限制和规划政策引导为影响研究区不透水层变化的主要因素。
Impervious layer refers to the covering surface that can isolate surface water to permeate into the soil,In this paper,the urbanization process of Tongchuan is studied with the change of the impervious layer distribution.Using the method of decision tree classification combined with biophysical component index(BCI)and bare soil index(MBSI),the number of remote sensing images in 1986,1991,1996,2002,2007,2012 and 2017 was extracted from the impervious layer,and the spatial expansion characteristics of the impervious layer were explored by index analysis,center of gravity trajectory migration and other methods.The impervious layer in Tongchuan City was studied with statistical yearbook and DEM data driving mechanism of impervious layer expansion.The results show that:Based on the decision tree classification model combined with BCI and MBSI,the fit goodness of extracting and verifying data of impervious layer reaches 0.88.The area of impervious layer in Tongchuan City continues to increase,from 5.7 km 2 in 1986 to 61.5 km 2 in 2017.The average annual growing rate is as high as 1.8%,especially in the period of rapid urbanization from 2007 to 2017,with the growing area accounting for 69.3%of the total changed area in 31 years.The center of gravity of impervious layer changes in stages from north to south,moving northward from 1986 to 2002,moving southward from 2002 to 2007,and moving southward from 2007 to 2017.According to the analysis of driving force index,the economic and population growth play a direct role in promoting the expansion of impervious layer,and the distribution of mineral resources,geographical environment constraints and planning policy guidance are the main factors affecting the change of impervious layer in the study area.
作者
胡荣明
李少杰
马春笑
黄远程
李朋飞
HU Rong-ming;LI Shao-jie;MA Chun-xiao;HUANG Yuan-cheng;LI Peng-fei(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China;The First Topographic Surveying Brigade of MNR,Xi’an 710054,China)
出处
《西安科技大学学报》
CAS
北大核心
2020年第3期449-457,共9页
Journal of Xi’an University of Science and Technology
基金
国家自然科学基金(41807063)。
关键词
不透水层
生物物理成分指数
裸土指数
决策树分类模型
驱动力分析
impervious layer
Biophysical Composition Index(BCI)
Modified Bare Soil Index(MBSI)
decision tree classification model
driving force analysis
