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干旱区地理 ›› 2024, Vol. 47 ›› Issue (3): 465-473.doi: 10.12118/j.issn.1000-6060.2023.425

• 生态与环境 • 上一篇    下一篇

2000—2021年图木舒克市生态环境质量动态监测与评价

王剑1(), 管瑶1(), 贺兴宏1,2, 代云豪3, 陈艺伟1, 王育强1, 李会文1, 范德宝1   

  1. 1.塔里木大学水利与建筑工程学院,新疆 阿拉尔 843300
    2.塔里木大学南疆岩土工程研究中心,新疆 阿拉尔 843300
    3.北川羌族自治县公路运输管理所,四川 绵阳 621000
  • 收稿日期:2023-08-14 修回日期:2023-09-15 出版日期:2024-03-25 发布日期:2024-03-29
  • 通讯作者: 管瑶(1975-),女,博士,教授,主要从事水生态保护及水资源高效利用研究. E-mail: guanyao1206@163.com
  • 作者简介:王剑(1999-),男,硕士研究生,主要从事遥感监测与生态保护研究. E-mail: wangjian991010@163.com
  • 基金资助:
    兵团重点产业创新发展支撑计划项目(2021DB017);中国农业大学塔里木大学联合基金项目(2019TC157)

Dynamic monitoring and evaluation of ecological environment quality in Tumshuk City from 2000 to 2021

WANG Jian1(), GUAN Yao1(), HE Xinghong1,2, DAI Yunhao3, CHEN Yiwei1, WANG Yuqiang1, LI Huiwen1, FAN Debao1   

  1. 1. College of Water Conservancy and Architecture Engineering, Tarim University, Aral 843300, Xinjiang, China
    2. South Xinjiang Geotechnical Engineering Research Center, Tarim University, Aral 843300, Xinjiang, China
    3. Beichuan Qiang Autonomous County Highway Transportation Administrative Office, Mianyang 621000, Sichuan, China
  • Received:2023-08-14 Revised:2023-09-15 Published:2024-03-25 Online:2024-03-29

摘要:

为客观评价新疆图木舒克市驱动因素对其生态环境质量的影响,选取图木舒克市2000、2011年和2021年3期Landsat影像数据,耦合归一化植被指数(NDVI)、土壤湿度(WET)、干度(NDSI)、地表温度(LST)4个指标,分析主成分构建遥感生态指数(RSEI),结合研究区自然因素和社会经济因素,对图木舒克市近22 a来生态环境质量进行动态监测与评价。结果表明:(1) 图木舒克市近22 a来RSEI均值从0.406升至0.476,生态环境质量变好面积远大于变差面积,改善区域主要分布在研究区中部、东南、西北地区,近22 a生态环境质量得到有效改善。(2) 通过对图木舒克市驱动因素进行分析,当地生态环境质量受人口、国内生产总值(GDP)、耕地面积、气候等因素影响,在驱动因素中社会经济因素对当地生态环境质量有显著影响。(3) 通过构建RSEI并分析其驱动因素对生态环境质量的影响,可以高效、准确地对当地生态环境质量进行动态监测与客观评价。

关键词: 图木舒克市, 遥感生态指数, 生态环境质量, 驱动因素, 动态监测

Abstract:

To objectively evaluate the impact of driving factors on the ecological environment quality of Tumshuk City, Xinjiang, China, this study selects Landsat image data from three periods, 2000, 2011, and 2021. This data was coupled with normalized difference vegetation index, soil moisture, dryness index, and land surface temperature indicators. It analyzed principal components to construct a remote sensing ecology index (RSEI), combined natural and socioeconomic factors in the study area, and dynamically monitored and evaluated the ecological environment quality of Tumshuk City in the past 22 years. The results showed the following: (1) In the past 22 years, the average RSEI of Tumshuk City increased from 0.406 to 0.476, and the area with improved ecological environment quality was far greater in size than the area with deterioration. The improved areas were mainly distributed in the study area's central, southeast, and northwest regions, and their ecological environment quality has been effectively improved in the past 22 years. (2) By analyzing the driving factors of Tumshuk City, it was observed that the local ecological environment quality was influenced by factors such as population, gross domestic product, arable land area, and climate. Among the driving factors, socioeconomic factors had a notable impact on the local ecological environment quality. (3) By constructing RSEI and analyzing its driving factors on the impact of ecological environment quality, dynamic monitoring and objective evaluation of local ecological environment quality can be efficiently and accurately conducted.

Key words: Tumshuk City, remote sensing ecology index, ecological environment quality, driving factors, dynamic monitor