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Updated: Jul 16, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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基于SSA-XGBoost模型的东北平原自然湿地的驱动力分析

Hanlin Liu1, Nan Lin2,3, Honghong Zhang4

  • 1College of Marine Engineering, Dalian Maritime University, Dalian 116026, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

中国东北部的自然湿地从1990年到2020年增加了32%,主要是由于农业扩张. 先进的机器学习模型量化了这些变化及其推动生态恢复的驱动力.

关键词:
东北中国平原在SSA-XGBoost中使用.驱动力是驱动力的驱动力.时间空间进化的进化.

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