集水区水质模型在氮收支评估和预测中的应用

M. Eisele, R. Kiese, A. Krämer, C. Leibundgut
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引用次数: 13

摘要

本研究的目的是评估集水区水质模型对溶质运移和氮收支模拟的适用性及其在流域管理中的应用。采用半分布式水收支和水质概念模型NPSM (Non Point Source model)对德国西南部Brugga流域(39,9 km2)进行了中尺度研究。基于水文化学响应单元(CHRUs)的概念,对子区域进行分类,实现了空间分布。径流和氮模拟的参数值是根据集水区特性、以前的实验和模型研究、区域实地研究和文献估计的。利用径流曲线、硝酸盐浓度和天然示踪剂对参数值进行了优化,对模型进行了校准,并对模拟结果进行了验证。敏感性分析表明,只有少数几个参数对径流和氮通量的模拟是重要的。模拟硝酸盐浓度受氮输入、水体运动和不同分区氮反应的强烈控制。由于缺乏数据,土壤中氮含量和反应的参数化仍然不确定。研究结果表明,NPSM适用于中尺度流域,在模拟河流流量方面取得了令人满意的结果。然而,氮模拟不能拟合所测硝酸盐的短时间动态。只有在更详细的土壤和农业数据基础上才能改善短期性能。为了评估该模型作为流域管理工具的适用性,必须进行较长时间和附加营养物的模拟。
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Application of a catchment water quality model for assessment and prediction of nitrogen budgets

The objective of this study is the assessment of a catchment water quality model towards its suitability for simulation of solute transport and nitrogen budgets and application in river basin management. The conceptual semi-distributed water budget and water quality model NPSM (Non Point Source Model) was applied in the meso-scale Brugga catchment (39,9 km2) in southwest Germany. Spatial distribution was achieved by classifying sub-areas based on the concept of hydrological chemical response units (CHRUs).

Parameter values for the runoff and nitrogen simulation were estimated from catchment properties, previous experimental and modelling studies, regional field studies and literature. Optimization of the parameter values, calibration of the model and validation of the simulation was achieved using the runoff curve, concentrations of nitrate and natural tracers. Sensitivity analysis revealed that only a few parameters were important for the simulation of runoff and the dynamics of the nitrogen fluxes. The simulated nitrate concentrations were strongly controlled by the nitrogen input, the water movements and the nitrogen reactions in the different sub-areas. Due to the lack of data, the parameterization of the nitrogen contents and reactions in the soil remained uncertain.

As a result of this study NPSM proved to be applicable in a meso-scale catchment performing satisfactory results for the simulation of stream flow. However the short time dynamics of the measured nitrate could not be fitted by the nitrogen simulation. An improvement of the short time performance can only be achieved using a more detailed soil and agricultural data basis. To evaluate the suitability of the model as a tool for river basin management, simulations for longer time periods and with additional nutrients have to be performed.

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