An improved non-point source pollution model for catchment-scale hydrological processes and phosphorus loads
An improved non-point source pollution model for catchment-scale hydrological processes and phosphorus loads
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DOI：
10.1016/j.jhydrol.2023.129588
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发表时间：
2023-04
影响因子：
6.4
通讯作者：
X. Tong;X. Lai;Q. Liang
中科院分区：
文献类型：
--
作者：
X. Tong;X. Lai;Q. Liang
非点源污染物会导致水质恶化和富营养化，对水生生态系统构成严重威胁。因此，了解和模拟地表和次地表水文过程和养分循环对于水资源管理和污染控制至关重要。本文提出了一个新的水文水质模型，应用于中国湿润和半湿润流域，考虑水文过程，营养盐的传输和转化。该模型将土壤分为三个层次，每一层都有单独的土壤水分和养分过程的计算程序。养分的迁移受水文过程的驱动，并遵循与模型中水流相同的路径：地表径流、渗透和从单个土壤层流出。河道被单独描述与例程占周转的养分。模型参数根据文献/开源数据选择，或根据土壤质地或土地利用类型估计。将该模型应用于中国通洋河流域的水文过程和磷素输移的模拟，并通过对通河和洋河流域口门3 a的流量和总磷浓度的预测值与实测值的比较，验证了模型的性能。不确定性分析已进一步进行了使用GLUE方法，以证明敏感性的模拟结果的模型参数的选择。模型校正后，流量和总磷浓度的预测结果与现场观测结果进行了比较。敏感性分析表明，河道系统退水系数（CS）和地表径流污染物退水系数（pKS）分别是控制洪峰和营养盐浓度峰值到达时间和持续时间的最有影响力的水文水质参数。
Non-point source (NPS) pollutants may cause water quality deterioration and eutrophication, posing a significant threat to aquatic systems. Understanding and modelling surface and sub-surface hydrological processes and nutrient cycles are therefore essential for water resources management and pollution control. This paper presents a new hydrological-water quality model for application in humid and semi-humid catchments in China, considering both hydrological processes, and nutrient transport and transformation. The model divides the soil into three layers, and each layer is implemented with individual computational procedures for soil wetness and nutrient process. Nutrient transport is driven by hydrological processes and follows the same pathways as water flow in the model: surface runoff, infiltration, and outflow from individual soil layers. River channels are described separately with routines to account for the turnover of nutrients. Model parameters are selected according to literature/open-sourced data or estimated from soil texture or land use types. The model is applied to simulate the hydrological processes and phosphorus transport in the Tongyang River Basin in China and the model performance is confirmed by comparing the predicted discharge and total phosphorus concentrations with measured data at the catchment outlets of Tonghe River and Yanghe River over 3 years. Uncertainty analysis has been further carried out using the GLUE method to demonstrate sensitivity of the simulation results to the selection of model parameters. After model calibration, the predicted results are found to compare well with field observations in terms of flow discharge and total phosphorus concentration. From sensitivity analysis, it is found that the recession coefficient of channel system (CS) and the pollutant recession coefficient of surface runoff (p KS) are the most influential hydrological and water quality parameters that control the arrival time and duration of flood peak and nutrient concentration peak, respectively.