LÜ Ye 1, RUAN Ben-qing 1, GUAN Xiao-yan 2, WANG Shao-li 2

1. Department of Research planning, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2. National Center of Efficient Irrigation Engineering and Technology Research-Beijing, Beijing 100048, China

Abstract: The soil water and salt migration process is one of the most important foundations for water salt regulation in farmland. It is also an extremely complicated physical and chemical process. Based on the experiments on saline and fresh water alternate irrigation in laboratory, this study introduced the model of supporting vector machine (SVM) was introduced in to predict soil electrical conductivity (EC) and pH after saline and fresh water alternate irrigation. The results show that support vector machine (SVM) models can predict soil EC and pH values effectively under saline and fresh water alternate irrigation, the average relative error is less than 10%, and the higher forecasting accuracy can be acquired by using SVM model. Therefore, the SVM model is a very useful tool for soil water and salt migration study.

Key words: saline water irrigation, soil salinity, support vector machines, prediction

Published in: Journal of China Institute of Water Resources and Hydropower Research (Vol. 12 No. 1, 2014)