[在沙漠光伏生态系统中预测碳交换的有效方法:支持向量机模型,使用Sparrow搜索算法进行优化]
1State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China.
Huan jing ke xue= Huanjing kexue
|January 14, 2026
概括
光伏发电的发展创造了独特的生态系统. 这项研究发现,净辐射和温度等气象因素显著影响沙漠光伏生态系统中的碳平衡,这表明未来有很强的碳封存潜力.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 可再生能源可再生能源是可再生能源.
背景情况:
- 光伏发电 (PVPPC) 对于减缓气候变化和能源转型至关重要.
- PVPPC建立了独特的光伏生态系统,受生物和无机相互作用的影响.
- 保持碳平衡对于这些生态系统的可持续性和健康至关重要.
研究的目的:
- 分析沙漠光伏生态系统中生态环境因素和净生态系统碳交换 (NEE) 之间的反反应.
- 开发和验证一个模型来估计沙漠光伏开发下的NEE.
- 在各种气候场景下预测沙漠光伏生态系统的未来NEE变化.
主要方法:
- 从青海西藏高原的贡河光伏公园收集现场测量的气象,土壤和流量数据.
- 确定影响 NEE 的关键环境驱动因素.
- 使用Sparrow搜索算法优化的支持矢量机器 (SSA-SVM) 开发一个NEE估计模型.
主要成果:
- 净辐射,空气温度,风速,相对湿度和大气压力被确定为NEE的前五个驱动因素.
- SSA-SVM模型显示了良好的模拟性能,错误控制在2%以内.
- 沙漠光伏生态系统在不同的气候场景 (SSP126,SSP245,SSP585) 中,与非生长季节相比,在生长季节表现出更高的碳封存.
结论:
- 沙漠光伏生态系统具有显著的未来碳封存潜力.
- 在这些生态系统的生长季节,气候变化对碳循环的影响更为强烈.
- 该研究提供了一种预测碳交换的新方法,并支持生态系统稳定性评估和环境恢复工作.
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