| 引用本文: | 陈永贵,戴晓琴,朱玉香.黄河流域中原城市群生态环境质量遥感动态监测与分析[J].灌溉排水学报,2024,43(3):80-86. |
| CHEN Yonggui,DAI Xiaoqin,ZHU Yuxiang.黄河流域中原城市群生态环境质量遥感动态监测与分析[J].灌溉排水学报,2024,43(3):80-86. |
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| 摘要: |
| 【目的】分析1985—2021年黄河流域中原城市群生态环境质量。【方法】以1985—2021年陆地卫星Landsat-5 TM和Landsat-8 OLI遥感影像作为数据源，基于谷歌地球引擎，利用改进型遥感生态指数（ERSEI）对黄河流域中原城市群生态环境质量进行遥感动态监测与分析。利用Theil-Sen趋势分析和Mann-Kendall检验分析ERSEI变化趋势的方向和显著性。【结果】1985—2021年，黄河流域中原城市群ERSEI的平均值介于0.48~0.62，增速为0.024/10 a。ERSEI在空间上呈四周区域高、中部区域低的分布模式，中原城市群的西部、中部和西南部地区的ERSEI较低，而南部和东北部地区的ERSEI较高。大部分地区的ERSEI表现出增加趋势，其中显著增加趋势的面积比例为11.48%，仅有5.76%的区域表现出显著下降趋势，33.16%区域的ERSEI相对稳定。【结论】研究区城镇建设用地不断增加，导致耕地面积持续减少，在中原城市群核心城区，受城市扩张、热岛效应的影响，生态环境质量变差，出现了显著退化趋势。 |
| 关键词: 遥感生态指数；谷歌地球引擎；时空变化；中原城市群 |
| DOI：10.13522/j.cnki.ggps.2023398 |
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| Using remote sensing to analyse variation in ecological environment quality in urban region clustered by metropolitan cities in middle reach of the Yellow River |
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CHEN Yonggui, DAI Xiaoqin, ZHU Yuxiang
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Henan Collage of Surveying and Mapping, Zhengzhou 451464, China
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| Abstract: |
| 【Objective】Understanding the variation in ecological environmental quality in a region is a prerequisite for developing sustainable economy but challenging at large scales. In this paper, we investigate the feasibility of remote sensing to monitor and analyze ecological environment quality in a region clustered by metropolitan cities in a central plain in the middle reach of the Yellow River Basin.【Method】Landsat TM/OLI remote sensing imageries from 1985 to 2021 were used in the analysis. The improved remote sensing ecological index (ERSEI) method combined with the Google Earth Engine was used to construct the remote-sensing monitoring and analysis system for ecological environment quality in the region. The Theil-Sen trend analysis method and the Mann-Kendall test were used to analyze the direction and significance of the variation in ERSEI.【Result】From 1985 to 2021, the average ecological environment quality in the region increased from 0.48 to 0.62. Spatially, ERSEI was high in the periphery of the region and low in the middle. In particular, ERSEI was low in the west, center and southwest of the region, and relatively high in the south and northeast of the region. During the studied period, most areas in the region had seen an improved ERSEI. Areas in the region that had seen a significant increase in ERSEI accounted for 11.48% of total area, while those having seen a decrease in ERSEI account for 5.76% of total area. The areas without seeing a significant degradation in ecological environmental quality accounted for approximately 17.7% of total area; approximately 33.16% of areas in the region remained unchanged in its ecological and environmental quality from 1985 to 2021.【Conclusion】From 1985 to 2021, urbanization and the consequent decrease in arable land had led to a deterioration in ecological environmental quantity in the region. Factors including urbanization, increased construction land and heat islands resulted in a significant degradation in ecological environmental quality. |
| Key words: remote sensing ecological index; google earth engine; spatial-temporal variation; central plains urban agglomeration |
