生态与环境

基于MRSEI模型的阿勒泰市生态环境时空变化及驱动力分析

  • 刘笑 ,
  • 郭鹏 ,
  • 祁佳峰 ,
  • 杜文玲 ,
  • 张茹倩 ,
  • 张坤
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  • 1.石河子大学理学院,新疆 石河子 832003
    2.绿洲城镇与山盆系统生态兵团重点实验室,新疆 石河子 832003
刘笑(1999-),女,硕士研究生,主要从事遥感图像处理与应用研究. E-mail: liuxiao_9902@163.com

收稿日期: 2022-09-24

  修回日期: 2023-03-31

  网络出版日期: 2023-06-21

基金资助

国家自然科学基金项目(U2003109)

Spatio-temporal changes and driving forces in the ecological environment of Altay City determined using an MRSEI model

  • Xiao LIU ,
  • Peng GUO ,
  • Jiafeng QI ,
  • Wenling DU ,
  • Ruqian ZHANG ,
  • Kun ZHANG
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  • 1. College of Science, Shihezi University, Shihezi 832003, Xinjiang, China
    2. Key Laboratory of Oasis Town and Mountain Basin System, Shihezi 832003, Xinjiang, China

Received date: 2022-09-24

  Revised date: 2023-03-31

  Online published: 2023-06-21

摘要

为及时、客观、定量地评估新疆阿勒泰市生态环境,研究基于多源遥感数据构建改进型遥感生态指数(MRSEI)结合标准差椭圆和重心迁移模型分析其时空变化特征,并使用地理探测器模型对绿度、干度、湿度、温度和空气质量5个指标进行因子探测。结果表明:(1) 2015—2021年,阿勒泰市绿度和湿度指标对于区域内生态环境起显著正相关作用,温度、干度和空气质量这3个指标起显著负相关作用;(2) 2015—2021年阿勒泰市MRSEI均值呈上升趋势,空间上,Ⅰ级和Ⅱ级生态指数区域的空间迁移能力较强,Ⅲ~Ⅴ级,即高生态指数区域在空间结构上相对较为稳定。Ⅰ~Ⅳ级生态指数重心总体向北移动,Ⅴ级生态指数重心整体向南移动,表明阿勒泰市南部高生态指数分布增长明显。(3) 年份不同,造成生态环境质量改变的主导因子不同,阿勒泰市生态环境质量空间的演变是受到多个因素共同作用的结果。(4) MRSEI和RSEI(遥感生态指数)对阿勒泰市生态监测结果大致趋势一致,两者在空间分布和程度的差异与气溶胶光学厚度(AOD)的空间分布有关,表明了即使在空气质量较好的阿勒泰市AOD对其生态质量在空间分布上仍有影响。2015—2021年,阿勒泰市生态环境受多种因素影响有向南变好的趋势。

本文引用格式

刘笑 , 郭鹏 , 祁佳峰 , 杜文玲 , 张茹倩 , 张坤 . 基于MRSEI模型的阿勒泰市生态环境时空变化及驱动力分析[J]. 干旱区研究, 2023 , 40(6) : 1014 -1026 . DOI: 10.13866/j.azr.2023.06.16

Abstract

To evaluate the ecological environment of Altay City in Xinjiang in a timely, objective, and quantitative manner, an improved remote sensing ecological index (MRSEI) was constructed based on multi-source remote sensing data. The spatial and temporal variation characteristics were then analyzed by combining a standard deviation ellipse and gravity center migration model. A geographical detector model was used to detect the five indicators, which were greenness, dryness, humidity, temperature, and air quality. (1) From 2015 to 2021, the greenness and humidity indexes of Altay City showed a significant positive correlation with the ecological environment in the region. In contrast, the three indexes for temperature, dryness, and air quality showed significant negative correlations. (2) From 2015 to 2021, the average value of the MRSEI in Altay City increased. The spatial migration ability of ecological index areas I and II was strong, while III-V were relatively stable in the spatial structure. The center of gravity for ecological index areas I-IV moved north, while the center of gravity for area V moved south, indicating that the distribution of the high ecological index in the south of Altay City increased significantly. (3) The dominant factors causing the changes in the eco-environmental quality differed each year. The spatial evolution of eco-environmental quality in Altay is the result of multiple factors. (4) The differences in spatial distribution and the differences between the MRSEI and RSEI data are related to the spatial distribution of AOD, indicating that even if Altay City had improved air quality, AOD would still have an impact on the ecological quality of the spatial distribution. From 2015 to 2021, the ecological environment of Altay City was thus found to be affected by many factors and tended to improve toward the south.

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