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综合比较两个模型评估生态环境质量在山
Fangqi Tan1, Yuning Cheng1, Yangyang Yuan1
1School of Architecture, Southeast University, Nanjing, 210096, China.
Heliyon
|April 15, 2024
概括
本研究比较了北京方山区的生态指数 (EI) 和遥感生态指数 (RSEI). 虽然这两种模型都显示出有利的生态质量,但EI提供了更全面的环境变化随着时间的推移.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 生态系统质量评估 生态系统质量评估
背景情况:
- 评估生态质量对于环境管理和保护至关重要.
- 生态指数 (EI) 和遥感生态指数 (RSEI) 是关键模型,但它们之间的差异未被充分探索.
- 了解模型差异对于选择适当的评估方法至关重要.
研究的目的:
- 为了比较2017-2021年北京方山区的生态指数 (EI) 和远程传感生态指数 (RSEI).
- 分析评估指数,重要性,定量方法和数据采集时间的变化.
- 为EI和RSEI模型提出合适的应用场景.
主要方法:
- 使用北京方山区 (2017-2021) 数据对EI和RSEI模型进行比较分析.
- 检查评估指数,指标重要性,量化方法和数据采集时间的差异.
- 对EI和RSEI结果的相关性分析,重点关注特定土地覆盖类型的变化.
主要成果:
- 方山区的生态环境质量仍然有利,最初下降后得到改善.
- EI和RSEI之间的相关性有所变化,特别是由于RSEI的指数贡献的变化,因此在2021年显著下降.
- 由于指标重要性和量化方法的不同,水域和建筑用地差异最为明显.
结论:
- EI模型提供了对年度生态状况和多年变化的更全面的评估.
- RSEI模型在不同规模上提供了更大的灵活性和易于实施.
- 结果指导了适当的生态评估模型的选择,并为未来的模型开发提供了信息.
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