首页> 外文期刊>Transactions of the ASABE >Use of the soil-plant-air-water model to predict hydraulic performance of vegetative treatment areas controlling open lot runoff.
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Use of the soil-plant-air-water model to predict hydraulic performance of vegetative treatment areas controlling open lot runoff.

机译:使用土壤-植物-空气-水模型来预测控制裸地径流的营养处理区的水力性能。

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摘要

Alternative treatment systems to control runoff from open beef feedlots may enhance environmental security and protect water quality. Several Midwestern states have issued National Pollution Discharge Elimination System permits allowing beef feedlots to use vegetative treatment systems (VTSs) to control and treat feedlot runoff. Monitoring VTSs has provided data to validate performance modeling strategies. The objective of this study was to evaluate the ability of the Soil-Plant-Air-Water (SPAW) model to predict the hydraulic performance of vegetative treatment areas (VTAs). Two approaches, one using the field module and the other the pond module of the SPAW model, were investigated. The model results from the SPAW field and pond modules were compared to monitored performance data from five VTAs in Iowa. Modeling statistics were calculated to evaluate SPAW's ability to predict VTA hydraulic performance. Based on the 18 site-years of data collected, the Nash-Sutcliffe efficiency (NSE), percent bias (BIAS), and ratio of the root mean square error to the standard deviation (RSR) were 0.95, 8%, and 0.22, respectively, on an annual basis. The NSE, BIAS, and RSR for the field module were 0.32, 32%, and 0.83, respectively. The results showed that the SPAW model could be used successfully to predict the hydraulic performance of VTAs, with the pond module being more successful than the field module.
机译:控制露天牛肉饲养场径流的替代处理系统可以增强环境安全性并保护水质。中西部几个州已发布了《国家污染消除系统》许可证,允许牛肉饲养场使用营养处理系统(VTS)来控制和处理饲养场径流。监视VTS提供了用于验证性能建模策略的数据。这项研究的目的是评估土壤-植物-空气-水(SPAW)模型预测植物生长处理区(VTA)的水力性能的能力。研究了两种方法,一种是使用SPAW模型的现场模块,另一种是使用SPAW模型的池塘模块。将来自SPAW田间和池塘模块的模型结果与爱荷华州五个VTA的监测性能数据进行了比较。计算模型统计数据以评估SPAW预测VTA液压性能的能力。根据所收集的18个站点年的数据,纳什-苏克利夫效率(NSE),偏差百分比(BIAS)和均方根误差与标准差(RSR)的比率分别为0.95、8%和0.22,每年一次。现场模块的NSE,BIAS和RSR分别为0.32、32%和0.83。结果表明,SPAW模型可以成功地用于预测VTA的水力性能,其中池塘模块比现场模块更成功。

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