改进用水同位素数据替代营养模型中流水源的表现
C A Ross1, A K Phillips1, L Gospodyn2
1Department of Geography and Environmental Studies, Toronto Metropolitan University, Toronto, Canada.
The Science of the total environment
|June 3, 2023
概括
用稳定同位素校准数字过器改善了农业流中的基流估计. 这增强了大湖盆地的营养损失模型.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 农业科学 农业科学
背景情况:
- 准确建模农田的营养损失对于实现大湖盆地营养减少目标至关重要.
- 之前的营养流量模型依赖于未校准的递归数字过器来估计基流量,可能引入偏差.
- 了解水源对河流流量的贡献,是有效的土地管理战略的关键.
研究的目的:
- 改善水源对溪流流量的贡献在营养流量模型中的表现.
- 使用稳定同位素数据校准一个递归数字波器,以更准确的基流估计.
- 为了提高从农业流域的营养物流的预测.
主要方法:
- 利用水中的稳定氧同位素来校准用于分离流排放的递归数字过器.
- 应用了校准过器来估计三个头水农业溪流的基流贡献.
- 将修订的基础流量比例纳入通用添加模型 (GAM) 进行营养流量预测.
主要成果:
- 过器校准将基流估计中的偏差降低了多达68%,跨站点.
- 克林格普塔效率显著提高,从0.44 (默认) 提高到0.82 (校准).
- 在GAMs中修订的基流预测器更为显著,改善了模型的节性,并降低了不确定性.
结论:
- 用稳定同位素数据校准递归数字波器可以提高基流估计的准确性.
- 改进的基流表示导致在农业流域中更强大的营养流量建模.
- 这种方法可以更严格地了解河流水源对营养损失的影响.
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