对陆地流量建模假设的评估,使用排放和沉积物数据进行多目标校准
Alban de Lavenne1,2, Göran Lindström1, Johan Strömqvist1
1Hydrology Research Swedish Meteorological and Hydrological Institute (SMHI) Norrköping Sweden.
概括
将沉积物数据添加到水文模型中可以改善悬浮沉积物模拟,而不会损害排放的准确性. 这种方法改进了陆地流量建模,减少了复杂性,并在数据有限的地区提高了预测.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 水资源管理 水资源管理
背景情况:
- 概念性水文模型往往聚合了水域规模的过程,限制了对水路和旅程时间的详细理解.
- 单靠排放观测可能无法充分区分诸如陆地流动之类的水文过程.
研究的目的:
- 评估是否结合沉积物数据可以改善水文模型中的陆地流和总排放之间的区别.
- 评估多目标校准对排放和悬浮沉积物模拟性能的影响.
主要方法:
- 应用多目标校准到全球环境水文预测 (HYPE) 模型.
- 利用排放和悬浮沉积物度数据对111个美国水域进行校准.
- 测试了新的陆地流量假设,以减少模型的复杂性.
主要成果:
- 多目标校准显著改善了悬浮沉积物模拟性能.
- 排放模拟性能在很大程度上不受多目标校准的影响.
- 拟议的陆地流量假设在较少的参数下产生了可比的排放结果,从而减少了等效性.
结论:
- 集成沉积物数据可以提高水文模型过程的理解,特别是在水质应用中.
- 多目标校准对于改善沉积物运输建模而无损于排放精度是有效的.
- 通过改进的陆地流量假设来降低模型复杂性,对数据较差的环境有利.
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