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Development of Field Pollutant Load Estimation Module and Linkage of QUAL2E with Watershed-Scale L-THIA ACN Model

机译:流域规模L-THIA ACN模型的现场污染物负荷估算模块的开发以及QUAL2E的链接

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The Long Term Hydrologic Impact Assessment (L-THIA) model was previously improved by incorporating direct runoff lag time and baseflow. However, the improved model, called the L-THIA asymptotic curve number (ACN) model cannot simulate pollutant loads from a watershed or instream water quality. In this study, a module for calculating pollutant loads from fields and through stream networks was developed, and the L-THIA ACN model was combined with the QUAL2E model (The enhanced stream water quality model) to predict instream water quality at a watershed scale. The new model (L-THIA ACN-WQ) was applied to two watersheds within the Korean total maximum daily loads management system. To evaluate the model, simulated results of total nitrogen (TN) and total phosphorus (TP) were compared with observed water quality data collected at eight-day intervals. Between simulated and observed data for TN pollutant loads in Dalcheon A watershed, the R 2 and Nash–Sutcliffe efficiency (NSE) were 0.81 and 0.79, respectively, and those for TP were 0.79 and 0.78, respectively. In the Pyungchang A watershed, the R 2 and NSE were 0.66 and 0.64, respectively, for TN and both statistics were 0.66 for TP, indicating that model performed satisfactorily for both watersheds. Thus, the L-THIA ACN-WQ model can accurately simulate streamflow, instream pollutant loads, and water quality.
机译:长期水文影响评估(L-THIA)模型先前通过合并直接径流滞后时间和基流进行了改进。但是,称为L-THIA渐近曲线数(ACN)模型的改进模型无法模拟流域或河流水质的污染物负荷。在这项研究中,开发了一个用于计算田间和通过河流网络的污染物负荷的模块,并将L-THIA ACN模型与QUAL2E模型(增强的河流水质模型)相结合,以预测流域规模的河流水质。新模型(L-THIA ACN-WQ)已应用于韩国总最大日负荷管理系统中的两个流域。为了评估该模型,将总氮(TN)和总磷(TP)的模拟结果与每隔8天收集的水质数据进行了比较。在Dalcheon A流域的TN污染物负荷的模拟和观察数据之间,R 2和Nash-Sutcliffe效率(NSE)分别为0.81和0.79,TP的分别为0.79和0.78。在平昌A流域,TN的R 2和NSE分别为0.66和0.64,而TP的两个统计均为0.66,这表明该模型在两个流域中均表现令人满意。因此,L-THIA ACN-WQ模型可以准确地模拟水流,河内污染物负荷和水质。

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