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Estimation of infiltration rate from soil properties using regression model for cultivated land

机译:基于回归模型的耕地土壤渗透率估算

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ABSTRACT The study was conducted on cultivated land at College of Agricultural Engineering and Post Harvest Technology (CAEPHT campus), Ranipool, Gangtok, Sikkim, India. Twenty five points were identified at 10?m grid interval and field measurements were performed using double ring infiltrometer method. Result of soil analysis suggests sandy loam and loamy sand texture and the bulk density and particle density have varied from 1.412–1.716?g/cm~(3)and 2–3.03?g/cm~(3), respectively. The basic infiltration rate has varied from 0.3 cm/h to 6.8 cm/h. Result show that sand, particle density and organic carbon content have a positive correlation with infiltration rate by 0.75, 0.18 and 0.22, respectively, whereas silt, clay, bulk density and moisture content, have a negative correlation with infiltration rate by ?0.41, ?0.73, ?0.33 and ?0.22, respectively. The analysis performed for five classes considering the combination of soil properties and subjected to regression analysis. Result shows that in order to predict soil infiltration rate based on few properties of soil with seven independent variables, multi-linear regression model E_(IR)?=?-30,578.81–305.56(sand%)-306.16(silt%)-0.306.33(clay%)-5.18(BD%)+.34(MC%)+4.18(PD)+16.85(OC%) with R~(2)(0.80), mean RMSE (1.52) and standard error (2.39) is the best model for the estimation of infiltration rate and recommended for the study area.
机译:摘要这项研究是在印度锡金市甘托克Ranipool的农业工程与收获后技术学院(CAEPHT校园)的耕地上进行的。在10?m的网格间隔处确定了25个点,并使用双环渗透仪进行了现场测量。土壤分析结果表明,砂壤土和质壤土质地,堆积密度和颗粒密度分别在1.412–1.716?g / cm〜(3)和2–3.03?g / cm〜(3)之间变化。基本渗透速率从0.3 cm / h到6.8 cm / h不等。结果表明,沙,颗粒密度和有机碳含量与入渗率分别呈正相关,分别为0.75、0.18和0.22,而淤泥,粘土,堆积密度和水分含量与入渗率均呈负相关,分别为?0.41 、?分别为0.73、0.33和0.22。考虑土壤性质的组合,对五类进行了分析,并进行了回归分析。结果表明,为了基于具有七个独立变量的少量土壤特性来预测土壤入渗速率,多线性回归模型E_(IR)?=?-30,578.81–305.56(sand%)-306.16(silt%)-0.306。 33(粘土%)-5.18(BD%)+。34(MC%)+ 4.18(PD)+16.85(OC%),R〜(2)(0.80),均方根误差(1.52)和标准误差(2.39)是估计渗透率的最佳模型,推荐用于研究区域。

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