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Evaluation of Infiltration Models with Different Numbers of Adjustment Parameters in an Oxisol with Application of Wastewater at the Different Concentrations
Water, Air, & Soil Pollution ( IF 3.8 ) Pub Date : 2021-07-30 , DOI: 10.1007/s11270-021-05255-4
Júlia Fonseca Colombo Andrade 1 , Luiz Fernando Coutinho de Oliveira 2 , Jaíza Ribeiro Mota e Silva 2
Affiliation  

The effects of the concentration of total suspended solids from municipal wastewater on the water infiltration process in a clayey soil were investigated as well as the suitability of infiltration models with different numbers of parameters. The experiment consisted of columns of soil of 20 cm long in which supply water and synthetic municipal wastewater with different concentrations of solids were applied. The soil was characterized with respect to particle size, porosity, soil and particle density, clay water-dispersed clay, and infiltration capacity. The accuracy of the Kostiakov, Kostiakov-Lewis, Horton, Phillip, Green-Ampt, and Swartzendruber infiltration models was assessed by using the statistical criteria: mean error (MAE), mean squared error (RMSE), determination coefficient (R2), index of agreement (d), and Akaike information corrected criterion (AICc). The results indicate that the application of wastewater rich in suspended solids reduces the macroporosity of the soil, due to the clogging of the pores, causing a reduction in the hydraulic conductivity of the saturated soil and the cumulative infiltration. Based upon the AICc, the Kostiakov-Lewis models proved to be the most appropriate, except for the treatment with the highest concentration of solids, in which the Swartzendruber model presented the lowest AICc. In general, the other statistical criteria corroborate this conclusion.



中文翻译:

应用不同浓度废水的氧化溶胶中不同数量调整参数的渗透模型评估

研究了城市污水中总悬浮固体浓度对黏性土壤中水入渗过程的影响,以及不同数量参数下入渗模型的适用性。该实验由 20 厘米长的土壤柱组成,其中应用了具有不同固体浓度的供水和合成市政废水。土壤的特征在于颗粒大小、孔隙度、土壤和颗粒密度、粘土水分散粘土和渗透能力。Kostiakov、Kostiakov-Lewis、Horton、Phillip、Green-Ampt 和 Swartzendruber 渗透模型的准确性通过使用统计标准进行评估:平均误差 (MAE)、均方误差 (RMSE)、决定系数 (R 2)、一致性指数 (d) 和 Akaike 信息校正标准 (AICc)。结果表明,富含悬浮固体的废水的应用降低了土壤的大孔隙度,由于孔隙堵塞,导致饱和土壤的导水率和累积入渗降低。基于 AICc,Kostiakov-Lewis 模型被证明是最合适的,除了固体浓度最高的处理,其中 Swartzendruber 模型呈现最低的 AICc。一般而言,其他统计标准证实了这一结论。

更新日期:2021-07-30
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