测绘通报 ›› 2021, Vol. 0 ›› Issue (2): 7-12.doi: 10.13474/j.cnki.11-2246.2021.0034

• 生态环境动态监测 • 上一篇    下一篇

1999-2020年长江经济带(江苏段)生态环境变化监测及人类活动驱动分析

宋珂1,2, 王玉军1,2, 李胤1,2   

  1. 1. 江苏省地质调查研究院, 江苏 南京 210018;
    2. 自然资源江苏省卫星应用技术中心, 江苏 南京 210018
  • 收稿日期:2020-08-28 修回日期:2020-12-16 发布日期:2021-03-09
  • 作者简介:宋珂(1982-),男,博士,高级工程师。主要从事遥感和GIS在资源环境方面的应用研究。E-mail:479506651@qq.com
  • 基金资助:
    2019年江苏省地质勘查专项资金;2019年江苏省地质勘查专项资金

Monitoring of ecological environment changes in the Yangtze River Economic Belt (Jiangsu province) from 1999 to 2020 and analysis of the driving forces of human activities

SONG Ke1,2, WANG Yujun1,2, LI Yin1,2   

  1. 1. Geological Survey of Jiangsu Province, Nanjing 210018, China;
    2. Natural Resources Satellite Application Technology Center of Jiangsu Province, Nanjing 210018, China
  • Received:2020-08-28 Revised:2020-12-16 Published:2021-03-09

摘要: 协调区域城镇化与生态环境保护之间的关系,是推动我国长江经济带可持续发展的核心问题之一。针对现有研究中,生态环境变化与人类活动驱动之间的响应关系缺少时空对应的数据支持、影响过程不明的问题,本文充分利用多源卫星遥感技术在处理和提取时空信息上的优势,以长江经济带江苏段沿江县区为例,利用1999-2000年、2009-2010年和2019-2020年3期Landsat系列遥感影像,通过RSEI模型定量分析研究区1999-2020年间区域生态环境时空变化规律,并引入人工不透水面(IS)及夜景灯光(NTL)等时空信息指标,定义各县区IS面积占比和IS区域NTL辐亮度均值,用于定量探究不同区域、不同强度下人类活动(城镇化)对生态环境的影响。研究结果表明:①1999-2020年间,江苏省沿江各区县城镇化区域及其周边区域生态环境质量下降趋势明显。其中,2000-2009年间,研究区各县区IS区域面积快速增加,导致其区域生态环境质量明显下降。而2010-2020年间,部分城镇化区域绿化面积增加,促使其区域生态环境质量缓慢提升。②研究区各县区IS面积占比与其RSEI均值呈现明显函数负相关性,而IS区域NTL辐亮度均值与其RSEI均值的函数负相关性相对减弱,尤其是IS面积占比超0.3的县区,城镇化与生态环境交互耦合关系复杂性增强,其详细函数模型需进一步研究。

关键词: 城镇化, 生态环境, RSEI, 长江经济带, 人工不透水面, 夜景灯光

Abstract: Coordinating the relationship between regional urbanization and ecological environment protection is one of the core issues to promote the sustainable development of Yangtze River Economic Belt in our country. According to the existing research, the response relationship between ecological environment changes and human activities drives lacks of supporting data corresponding to time and space, whose impact process is also unknown. This research takes full advantage of the multi-source satellite remote sensing technology in processing and extracting time and space information, takes the districts along the Yangtze river economic belt in Jiangsu section as an example, utilizes the Landsat series of remote sensing images from 1999 to 2000, 2009 to 2010, and 2019 to 2020, and applies the RSEI model to quantitatively analyze the spatial and temporal variation of the regional ecological environment in the research area from 1999 to 2020. Besides, in order to quantitatively explore the impact of human activities (urbanization) on the ecological environment under disparate intensities in different area, the time and space information indicators including the artificial impervious surface (IS) and the nighttime light (NTL) are imported, and the proportion of IS area and the mean value of IS area NTL radiance in each district are defined. Research results indicated that:① From 1999 to 2020, the ecological environment quality of the urbanization areas in the districts along the Yangtze river in Jiangsu Province and their surrounding areas has declined significantly. Moreover, the IS regional areas for different districts in the research region increased rapidly from 2000 to 2009, which led to regional eco-environment quality declined significantly. Simultaneously, the regional eco-environment quality improved slowly from 2010 to 2020 due to increased greening area in partial urbanization region. ② The IS area proportion of each district in the research region has a significantly negative correlation with its RSEI average. However, the negative correlation between the mean value of the NTL radiance in the IS region and the mean value of its RSEI were relatively weakened, especially in the districts where the IS area proportion accounted for more than 0.3. In these districts, the interaction coupling relationship between urbanization and ecological environment became more complex. As a result, their detailed function model needs to be further investigated.

Key words: urbanization, ecological environment, remote sensing ecology index, Yangtze River Economic Belt, impervious surface, nighttime light

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