The Sources and Quantification of Soil Water in the Root Zone of Typical Crops in the Shajiang Black Soil Region of Huaibei Plain

• Published in: Shui tu bao chi xue bao Vol. 39; no. 2; pp. 111 - 124
• Main Authors: ZHU Wanting, ZHU Yonghua, WANG Qimeng, LÜ Haishen, LIU Mingwen, WANG Yining, LU Wen, PENG Yujie, XU Haiting, FANG Yimin
• Format: Journal Article
• Language: Chinese
• Published: Editorial Department of Journal of Soil and Water Conservation 01.04.2025
• Subjects: correlation; crops; deep learning; huaibei plain; multiple regression; soil water
• ISSN: 1009-2242
• DOI: 10.13870/j.cnki.stbcxb.2025.02.014

［Objective］ The sources and quantitative characteristics of soil moisture in the root zone of crops in the Huaibei Plain from 1990 to 2022 were explored to provide scientific guidance for crop irrigation management and water resource utilization. ［Methods］ The contribution of precipitation and groundwater to soil water in the root zone was calculated by Pearson correlation analysis and multiple regression, and soil water quantitative simulation was performed using multiple linear regression and long short-term memory network (LSTM) model. ［Results］ 1) For summer corn, in the 0—10 cm soil layer, except for the 55% contribution of precipitation during the seedling-jointing period, the contribution of groundwater in other stages could reach 61%—68%; in the soil layer below 10 cm, the soil water in the root zone mainly came from soil water in the adjacent upper layer, accounting for more than 74%. In the later stage, the root system gradually growed to 100 cm, especially in the 40—80 cm soil layer, the contributi