摘要
基于Landsat数据,采用主成分分析法构建遥感生态指数(RSEI),分析塞罕坝生态环境质量时空分布特征,并探究其对地形因子与土地利用做出的响应。结果表明:1.在4个分量中,绿度和湿度对塞罕坝生态环境质量起促进作用,干度和热度则起抑制作用。2.研究区85%以上区域生态环境质量等级达到了中等及以上。20年来有超过50%的区域生态环境质量改善,主要分布在东北部和西部。3.塞罕坝生态环境质量与地形因子和土地利用密切相关。海拔越高,生态环境质量越好;坡度为6°~15°时生态环境质量最优;阴坡生态环境质量好于阳坡;水域和林地等生态用地生态环境质量较好,20年间研究区西部大量草地转化为林地,生态环境质量改善。
Based on Landsat data,the remote sensing ecological index(RSEI)was constructed by using principal component analysis.The spatial and temporal distribution characteristics of the ecological environment quality in Saihanba was analyzed,and its response to topographic factors and land use was investigated.The results showed that among the four components,greenness and humidity play a positive role in the ecological environment quality of Saihanba,while dryness and heat play a negative role.More than 85%of the study area reaches the ecological quality level of medium and above.More than half of the ecological quality in the region has been improved in the past 20 years,mainly distributed in the northeast and west of the region.The ecological environment quality of Saihanba is closely related to topographic factors and land use.The higher the altitude,the better the ecological environment quality;When the slope is 6°-15°,the ecological environment quality is the best;the ecological environment quality of shaded slope is better than that of sunny slope;the ecological environment quality of ecological land such as water and woodland are better,and a large amount of grassland in the western part of the study area is converted into woodland during 20 years,and the ecological environment quality improved.
作者
王晓红
阳丽虹
马明浩
辛守英
焦琳琳
WANG Xiao-hong;YANG Li-hong;MA Ming-hao;XIN Shou-ying;JIAO Lin-lin(College of Mining Engineering,North China University of Science and T echnology,Tangshan Hebei 063210,China)
出处
《华北理工大学学报（自然科学版）》
CAS
2023年第3期11-18,共8页
Journal of North China University of Science and Technology：Natural Science Edition
基金
唐山市科技局应用基础研究计划(No.20130202b)
河北省自然科学基金青年基金(No.D2019209322、No.2019209317)
华北理工大学博士专项经费(No.BS201818)。
关键词
塞罕坝
遥感生态指数
生态环境质量
主成分分析
Saihanba
remote sensing ecological index
ecological environment quality
principal component analysis
