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Updated: Sep 13, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
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规范流域的融雪流水模型 (SRM) 具有规范-纠正的规范流域
Ninad Bhagwat1, Xiaobing Zhou1, Raja Nagisetty2
1Department of Geological Engineering, Montana Technological University, 1300 W Park St, Butte, MT 59701 USA.
概括
扩展的融雪流水模型 (E-SRM) 通过结合一种新的调节-校正方法,改善了受监管的流域的流量模拟. 这种增强的模型显著提高了预测水资源的准确性,有助于水资源管理.
科学领域:
- 水文学的水文学
- 水资源管理 水资源管理
- 环境建模环境建模
背景情况:
- 在受管制的流域中模拟溪流流动,由于水文过程的变化而带来挑战.
- 现有的模型,如雪融流水模型 (SRM),可能无法准确地捕捉流量调节的影响.
- 准确的流量预测对于有效的水资源管理和基础设施运营至关重要.
研究的目的:
- 开发和验证一个增强的融雪流水模型 (E-SRM),用于模拟受监管流域的溪流流动.
- 引入一种节的监管-纠正方法,以考虑人类对河流流动的影响.
- 通过不同的校准和验证期来评估E-SRM的性能.
主要方法:
- 雪融流水模型 (SRM) 被修改为扩展型SRM (E-SRM),采用自动批处理,嵌套代器和季节分割算法.
- 实施了调节-纠正方法,将流域划分为原始的"女儿"下流域和受监管的"母"流域.
- 美国蒙大拿州的Morony流域应用了E-SRM,对Canyon Ferry分流域进行了校准,对整个Morony流域进行了验证.
主要成果:
- 与监管的莫罗尼流域的标准SRM相比,E-SRM显示了较好的流量模拟性能.
- 包括纳什-萨特克利夫效率 (NSE) 和克林-古普塔效率 (KGE) 在内的多个评估指标显示出显著的改善.
- 例如,在不同的场景中,NSE值从负值改为正值 (例如,从-0.16到-0.74),这表明模型准确度提高.
结论:
- 开发的E-SRM框架通过整合一种新的调节-校正方法,有效地模拟了受监管流域的流动.
- 该研究强调了流量调节对水文模型性能的重大影响,以及对其进行核算的必要性.
- 电子水资源管理系统 (E-SRM) 为推进水资源管理方面的研究和实际应用提供了宝贵的工具,特别是在人为改变的河流系统中.
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