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建立在精细的时间尺度上评估流域规模沉积物和营养模型的性能标准

Aayush Pandit¹, Sarah Hogan¹, David T Mahoney²

¹Department of Civil, Environmental, and Architectural Engineering, University of Kansas, United States.

|February 15, 2025

概括

为流域水质模型建立绩效基准至关重要. 为改善流域管理,提出了每日和每日模拟的新标准,考虑校准持续时间和目标单位等因素.

科学领域:

环境科学和水文学
计算机建模和模拟.
水资源管理水资源的管理.

背景情况:

流域水质模型对于资源分配的决策至关重要.
由于计算机,传感器和机器学习的进步,现有的绩效评估标准需要更新.
基于精细时间尺度的过程模型开发不足的绩效评估标准.

研究的目的:

为流域水质模型建立量化绩效评估标准,特别是对于精细的时间尺度.
评估时间分辨率,校准时间和目标单位对模型性能的影响.
为评估基于过程和机器学习的水质模型提供基准.

主要方法:

对定量模型性能指标的文献调查,重点关注纳什-萨特克利夫效率 (NSE).
来自229个模型应用程序的综合数据集的开发.
启动和专家判断的应用,以建立每日和每日的业绩标准.

主要成果:

提出的每日令人满意的纳什-萨特克利夫效率 (NSE) 门:沉积物为0.45,总营养物为0.30,溶解营养物为0.35.
模型性能随着校准持续时间提高到3-8年而有所改善,在更长的时间内没有进一步的增长.
溶解的营养物质模型在校准以度而不是负载时表现更好.

结论:

该研究为每日和次日流域水质模型提供了关键的性能标准.
建议使用度作为水质建模的目标单位,以测量流量独立的性能.
开发的标准可以帮助评估各种模型类型的性能,包括机器学习方法.

关键词:

评价标准评价标准营养素营养素营养素绩效衡量标准是指绩效的衡量标准.沉积物沉积物是一种沉积物.水的质量水的质量流域模型是一个流域模型.

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