摘要
青藏公路是我国重要的交通线,其沿线生态环境质量受到学者的广泛关注,如何全面、快速和准确地对其生态环境质量进行评估极为重要。文中以GEE(Google earth engine)平台为技术支撑,以2010年青藏公路第五次改建工程为研究切入点,选取2005-2020年那曲至安多段中轴线两侧5km提取绿度(NDVI)、热度(LST)、干度(NDSI)和湿度(WET)四个指标,利用主成分分析法(PCA)构建遥感生态指数(RSEI)模型对青藏公路沿线生态环境质量进行评估,并使用变异系数对其波动性进行分析。结果表明:1)RSEI四个分指标中,热度是影响研究区生态环境质量的主要指标。2)2005-2020年,研究区生态环境质量波动上升,总体明显改善,改善面积达1424.34km2,占比99.71%,恶化区域主要集中在北部安多段附近。3)研究区生态环境质量等级由较差为主转变为以较好为主,等级为优和较好的区域占比明显增加;中等、差和较差区域占比有所降低,其中RSEI优和良的比例由2005年的0.21%和1.25%上升至2020年9.46%和88.31%。
Qinghai-Tibet Highway is an important transportation line in China,and the ecological environment quality along its route has been widely concerned by scholars.How to comprehensively,quickly and accurately assess its ecological environment quality is essential.Taking the GEE(Google earth engine)platform as the technical support,the fifth reconstruction project of Qinghai-Tibet Highway in 2010 as the research entry point,5km on both sides of the central axis of the section from Naqu to Amdo from 2005 to 2020 are selected to extract the four indexes of greenness(NDVI),heatiness(LST),dryness(NDSI),and humidity(WET),and a remote sensing ecological index is constructed by utilizing the principal component analysis(PCA)method,to construct the Remote Sensing Ecological Index(RSEI)model to assess the ecological environment quality along the Qinghai-Tibet Highway,and its volatility is analyzed by using the coefficient of variation.The results show that:1)Among the four sub-indices of RSEI,heat is the main indicator affecting the ecological environment quality in the study area.2)From 2005 to 2020,the ecological environmental quality of the study area fluctuated and increased,showing an overall significant improvement,and the improved area was 1424.34km²,accounting for 99.71%of the total study area,and the deteriorated area was mainly concentrated in the northern part near the Ando section.3)The grade of ecological environment quality in the study area has changed from mainly poor to mainly good,and the proportion of areas with excellent and better grades has increased significantly,the proportion of areas with medium,poor and worse grades has decreased,of which the proportion of RSEI in excellent and good levels had increased from 0.21%and 1.25%in 2005 to 9.46%and 88.31%in 2020,respectively.
作者
杨鹏
周安娜
傅楷翔
王欲坤
罗欢
YANG Peng;ZHOU Anna;FU Kaixiang;WANG Yukun;LUO Huan(CCCC HEMEI Eco-Environmental Construction Co.Ltd.,Wuhan 430000;School of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2024年第5期39-48,共10页
Journal of Arid Land Resources and Environment
基金
基于遥感影像大数据的青藏公路动植物保护关键技术研究(KJFZ-2020-002)资助。
关键词
遥感生态指数(RSEI)
青藏公路
路域
生态环境质量
remote sensing ecological index(RSEI)
Qinghai-Tibet Highway
highway area
ecological environment quality
作者简介
杨鹏(1981-),男,汉族,河南南召人,高级工程师,主要从事公路环境保护与水土保持研究。E-mail:1120698662@qq.com;通讯作者:傅楷翔(1997-),男,汉族,陕西渭南人,主要从事遥感生态与植被恢复研究。E-mail:17861510018@163.com。
