使用多个远程传感数据进行SWAT模型的空间校准和不确定性降低
Sangchul Lee1, Dongho Kim2, Gregory W McCarty3
1Division of Environmental Science & Ecological Engineering, College of Life Sciences & Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Heliyon
|May 23, 2024
概括
将遥感蒸发透气 (RS-ET) 和叶面积指数 (RS-LAI) 纳入流域模型可以降低参数不确定性. 使用多个遥感产品可以提高流域内的空间预测的准确性.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 遥感产品对于流域建模具有价值,提供空间和时间数据以改善预测并减少不确定性.
- 它们在不同地区的应用和有效性需要进一步研究.
研究的目的:
- 评估将遥感蒸发透气 (RS-ET) 和叶面积指数 (RS-LAI) 整合到流域模型预测中的影响.
- 降低流域级别的参数不确定性,并改善流域次级别的ET和LAI的空间预测.
主要方法:
- 使用土壤和水资源评估工具 (SWAT) 模型进行流域模拟.
- 应用了一种系统的校准过程,最初使用流量数据,然后逐渐将RS-ET和RS-LAI作为约束因素纳入.
- 根据流量,RS-ET和RS-LAI空间模式评估模型性能.
主要成果:
- 使用流量和RS-ET的初始校准产生了14个令人满意的参数集.
- 包括RS-LAI在内,令人满意的参数集减少到6.
- 在这些参数组中,只有三组准确地捕获了ET和LAI在分流域下水域尺度上的空间分布.
结论:
- 整合多个遥感产品可以显著降低流域模型中的参数不确定性.
- 这种方法提高了模拟流域内水文过程的可靠性.
- 这项研究扩大了遥感数据在流域建模中的适用性和实用性.
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