摘要
以Landsat 8 OLI/TIRS遥感影像和DEM高程数据为数据源,以福建三明境内的莆炎高速公路YA12标段两侧1000 m路域范围为研究区域,对南方红壤丘陵山区高速公路路域生态脆弱性进行评价分析。应实际需要,基于遥感影像采集不同等级的样本点,确定植被、土壤、湿度、温度指数、高程、坡度作为路域生态脆弱性的评价指标,采用多元线性回归分析法构建路域生态脆弱性评价模型(总精度为83.33%,Kappa系数为0.79)。结果表明,研究路域的微度、轻度脆弱区占总面积的84.90%,说明该路域生态脆弱性程度较低,公路建设对当地生态环境影响较小;而中度、重度、极度脆弱区占总面积的15%,需加强对这些区域的环境保护,及时进行建设后生态再恢复工作。
The ecological vulnerability assessment of the roadside of the red soil hilly areas in southern China was evaluated and analyzed by taking the 1000 m road area on both sides of the YA12 section of Puyan Expressway in Sanming,Fujian Province as the study area,and using Landsat 8 OLI/TIRS remote sensing images and DEM elevation data as data sources.Different ecological quality levels of sample points were collected correspondingly both in the study area and remote sensing images.The vegetation index,soil index,moisture index,elevation and slope were used as the evaluation indicators.The multiple linear regression analysis method was employed to build the ecological vulnerability assessment model,with the overall accuracy being 83.33%and the Kappa coefficient being 0.79.Results show that the area with micro and slight vulnerability accounted for 84.90%of the total area,indicating that the ecological vulnerability was low and the impact of highway construction was small,while moderate,severe and extremely vulnerable areas accounted for 15%of the total area.It is necessary to strengthen the environmental protection of these areas and carry out ecological restoration after construction.
作者
姚艺贤
刘德标
陈津
邓历振
洪晋伟
刘智才
YAO Yixian;LIU Debiao;CHEN Jin;DENG Lizhen;HONG Jinwei;LIU Zhicai(Fujian Railway Construction Co., LTD., China Railway 24th Bureau Group, Sanming 365000, China;Sanming Puyan Expressway Co., LTD., Sanming 365000, China;College of Environment and Resources, Fuzhou University, Fuzhou 350108, China)
出处
《福建工程学院学报》
CAS
2021年第1期95-102,共8页
Journal of Fujian University of Technology
基金
国家自然科学基金项目(41701118,42071300)
福建省教育厅教育科研项目(JAT190050)。
关键词
高速公路路域
生态脆弱性评价
遥感指数
多元线性回归模型
highway area
ecological vulnerability assessment
remote sensing indices
multiple linear regression model
作者简介
第一作者:姚艺贤(1975—),男,福建福州人,高级工程师,研究方向:土木工程。
