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动态评估的生态环境质量在雄安新区,中国使用WB-RSEI新模型

Yinqiao Zhou¹, Wei Cao², Jiandong Zhou³

¹School of Geography, University of Leeds, Leeds, UK.

Scientific reports

|March 4, 2025

概括

一个新的WB-RSEI模型评估了水和土地的生态环境质量. 雄安新区显示了波动的质量趋势,预计未来会有改善,但极化趋势加剧. 自然因素是主要的驱动因素.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
城市规划城市规划

背景情况:

对生态环境质量的定量评估对于监测和保护至关重要.
现有的模型难以适用于各种水体.
开发适应性模型对于全面的环境管理至关重要.

研究的目的:

开发和验证基于水体遥感的新型生态指数 (WB-RSEI) 模型.
分析2013年至2023年在雄安新区生态环境质量变化的动态情况.
预测未来的趋势,并确定环境质量的驱动因素.

主要方法:

开发WB-RSEI模型用于综合土地和水评估.
将WB-RSEI模型应用于雄安新区数据 (2013-2023年).
使用地理探测器模型分析生态环境质量的驱动因素.

主要成果:

世界银行-RSEI得分波动,表明最初增加,下降和恢复的复杂趋势,观察到两极分化.
空间模式显示南方的质量更高,北方的质量更低,核心稳定,外围波动.
预计未来十年,环境质量将有所改善,尽管两极分化预计将加剧.

结论:

WB-RSEI模型为评估各种景观中的生态环境质量提供了更好的适用性.
雄安新区的生态环境质量表现出显著的空间异质性和自身相关性.
自然,社会经济,土地类型和气候因素相互作用影响环境质量,自然因素占主导地位.

关键词:

驱动因素驱动因素生态环境质量质量预测未来的趋势预测未来的趋势空间时间动态分析.有利于水的遥感生态指数 (WB-RSEI)雄安新区是一个新区域.

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