Prediction of soil saturated water content using evolutionary polynomial regression (EPR)

Autor:	Meysam Ramezani, Mirkhalegh Z. Ahmadi, Shokufeh Salehi Khoshkroudi, Mohammad Ali Gholami Sefidkouhi
Rok vydání:	2013
Předmět:	Soil test Soil Science Soil science Evolutionary polynomial regression law.invention Nonlinear system Hydraulic conductivity Pedotransfer function law Statistics Soil water Electron paramagnetic resonance Agronomy and Crop Science Water content Mathematics
Zdroj:	Archives of Agronomy and Soil Science. 60:1155-1172
ISSN:	1476-3567 0365-0340
DOI:	10.1080/03650340.2013.861062
Popis:	The measurement of saturated water content (SWC) is necessary in the estimation of soil water retention and unsaturated hydraulic conductivity curves. In several studies, pedotransfer functions (PTFs) were developed to predict SWC. Among them, evolutionary polynomial regression (EPR) is one that can operate on large quantities of data in order to capture nonlinear and complex interactions between the variables of the system. In this study, the evolutionary data-mining technique was used to derive new PTFs and different methods were evaluated, such as the soil porosity method, Rosetta method, and others, for the estimation of SWC. For this purpose, 270 soil samples (3:1 ratio for development and validation) from three data sets were used. Among 190 PTFs provided by EPR, one equation with the highest accuracy and the least number of inputs was selected. The EPR predictions were compared with the experimental results as well as the PTFs proposed in previous studies. Comparison of the statistical indicators s...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1f0378c4a9d2a5a049b9268060b6f66a https://doi.org/10.1080/03650340.2013.861062 Zobrazit plný text záznamu