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太行山区生态环境质量时空特征及影响因素分析
摘要点击 544  全文点击 72  投稿时间:2024-03-07  修订日期:2024-05-25
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中文关键词  遥感生态指数(RSEI)  结构方程模型(SEM)  生态环境质量  影响因素  太行山区
英文关键词  remote sensing ecological index (RSEI)  structural equation model (SEM)  eco-environmental quality  influencing factor  Taihang Mountain area
作者单位E-mail
徐永浩 成都理工大学地球与行星科学学院, 成都 610059 576942046@qq.com 
张廷斌 成都理工大学地球与行星科学学院, 成都 610059
国家环境保护水土污染协同控制与联合修复重点实验室(成都理工大学), 成都 610059 
zhangtb@cdut.edu.cn 
易桂花 成都理工大学地理与规划学院, 成都 610059  
别小娟 成都理工大学地理与规划学院, 成都 610059  
李景吉 国家环境保护水土污染协同控制与联合修复重点实验室(成都理工大学), 成都 610059
成都理工大学生态环境学院, 成都 610059 
 
党伟洋 成都理工大学地球与行星科学学院, 成都 610059  
李蓝星 成都理工大学地球与行星科学学院, 成都 610059  
中文摘要
      掌握太行山区生态环境质量时空变化特征及其影响因素,对太行山区生态环境保护与经济社会的协调发展具有重要意义. 基于GEE和遥感生态指数(RSEI)研究了太行山区2001~2021年生态环境质量时空分布特征,使用结构方程模型量化了该区自然环境和人类活动对生态环境质量的直接影响和间接影响. 结果表明,研究区生态环境质量等级以中等和良好水平为主,呈现出南高北低的空间分布特征. 2001~2021年,太行山区生态环境质量变化以改善为主,改善面积达6.5×104 km2,占研究区总面积的47.82%;Hurst指数均值为0.44,小于0.5的面积占比为75.81%,表现为反持续性,即未来变化趋势与2001~2021年变化趋势相反. 降水对太行山区生态环境质量的直接影响最为显著,其次为人类活动因子,高程主要通过影响气温、坡度、人类活动和植被类型间接影响生态环境质量.
英文摘要
      The mastery of the spatio-temporal variations in the ecological environment quality of the Taihang Mountain area and its influencing factors are of significant importance for the coordinated development of ecological environment protection and socio-economic development in the Taihang Mountain Region. Based on the Google Earth Engine (GEE) and remote sensing ecological index (RSEI), the spatio-temporal distribution characteristics of ecological environment quality in the Taihang Mountain area from 2001 to 2021 were studied, and a structural equation model was used to quantify the direct and indirect impacts of the natural environment and anthropogenic activities on ecological environment quality in this area. The results indicated that the ecological environment quality in the study area was mainly at moderate and good levels, showing a spatial distribution pattern of high quality in the south and low in north. From 2001 to 2021, the changes in ecological environment quality in the Taihang Mountain area primarily involved improvements, with an improvement area of 6.5×104 km2, accounting for 47.82% of the total study area. The Hurst index exhibited a mean value of 0.44, and the proportion of areas with values less than 0.5 was 75.81%, indicating anti-persistence, where the future trend was opposite to that from 2001 to 2021. Precipitation had the most significant direct impact on the ecological environment quality of the Taihang Mountain area, followed by anthropogenic activity factors, while elevation indirectly affected the ecological environment quality by influencing temperature, slope, anthropogenic activities, and vegetation types.

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