Correlations between statistical moments of soil aggregate size distributions
Апстракт
In this paper, following the common practice, the shapes of soil particles size distributions are quantified by higher-order statistical parameters: skewness, flatness, superskewness, superflatness, hyperskewness and hyperflatness factor. Based on the experimental data from six independent experiments, precise non-linear relationships between these higher-order statistical parameters are evidenced and adequate formulas are developed by least-square fitting These expressions could be useful in modelling and controlling the tillage quality and the resulting size distributions of soil aggregates. In opposite to the classical methods, most commonly based on histograms and mean values of the soil fraction sizes, etc., this approach is more sensitive with respect to the soil structure irregularities and it enables additional advanced check of tillage quality.
Кључне речи:
soil mechanics / decomposition / aggregates / size distributionИзвор:
International Agrophysics, 2010, 24, 3, 287-296Институција/група
Poljoprivredni fakultetTY - JOUR AU - Petrović, Dragan AU - Mileusnić, Zoran AU - Miodragović, Rajko PY - 2010 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/2122 AB - In this paper, following the common practice, the shapes of soil particles size distributions are quantified by higher-order statistical parameters: skewness, flatness, superskewness, superflatness, hyperskewness and hyperflatness factor. Based on the experimental data from six independent experiments, precise non-linear relationships between these higher-order statistical parameters are evidenced and adequate formulas are developed by least-square fitting These expressions could be useful in modelling and controlling the tillage quality and the resulting size distributions of soil aggregates. In opposite to the classical methods, most commonly based on histograms and mean values of the soil fraction sizes, etc., this approach is more sensitive with respect to the soil structure irregularities and it enables additional advanced check of tillage quality. T2 - International Agrophysics T1 - Correlations between statistical moments of soil aggregate size distributions EP - 296 IS - 3 SP - 287 VL - 24 UR - https://hdl.handle.net/21.15107/rcub_agrospace_2122 ER -
@article{ author = "Petrović, Dragan and Mileusnić, Zoran and Miodragović, Rajko", year = "2010", abstract = "In this paper, following the common practice, the shapes of soil particles size distributions are quantified by higher-order statistical parameters: skewness, flatness, superskewness, superflatness, hyperskewness and hyperflatness factor. Based on the experimental data from six independent experiments, precise non-linear relationships between these higher-order statistical parameters are evidenced and adequate formulas are developed by least-square fitting These expressions could be useful in modelling and controlling the tillage quality and the resulting size distributions of soil aggregates. In opposite to the classical methods, most commonly based on histograms and mean values of the soil fraction sizes, etc., this approach is more sensitive with respect to the soil structure irregularities and it enables additional advanced check of tillage quality.", journal = "International Agrophysics", title = "Correlations between statistical moments of soil aggregate size distributions", pages = "296-287", number = "3", volume = "24", url = "https://hdl.handle.net/21.15107/rcub_agrospace_2122" }
Petrović, D., Mileusnić, Z.,& Miodragović, R.. (2010). Correlations between statistical moments of soil aggregate size distributions. in International Agrophysics, 24(3), 287-296. https://hdl.handle.net/21.15107/rcub_agrospace_2122
Petrović D, Mileusnić Z, Miodragović R. Correlations between statistical moments of soil aggregate size distributions. in International Agrophysics. 2010;24(3):287-296. https://hdl.handle.net/21.15107/rcub_agrospace_2122 .
Petrović, Dragan, Mileusnić, Zoran, Miodragović, Rajko, "Correlations between statistical moments of soil aggregate size distributions" in International Agrophysics, 24, no. 3 (2010):287-296, https://hdl.handle.net/21.15107/rcub_agrospace_2122 .