- 1National Central University, Graduate Institute of Hydrological and Oceanic Sciences, Taoyuan City, Taiwan (yuan610377@gmail.com, pychen52@gmail.com)
- 2National Central University, Department of Earth Sciences, National Central University, Taoyuan City, Taiwan (chienchih.chen@g.ncu.edu.tw)
Soil moisture plays a critical role in the growth process of rice, directly influencing crop growth and yield. This study focuses on how meteorological factors (net radiation, air temperature, and potential evapotranspiration) and plant factors (crop coefficient) impact the daily depletion of soil moisture across different growth periods of rice. The research is based on observational data from the second rice cropping season, 2023, in Guanyin District, Taoyuan City, Taiwan. A multiple linear regression model was developed to incorporate plant and meteorological factors and their influences on soil moisture at various depths. Additionally, a one-dimensional heat conduction model was utilized to analyze the interactions within the soil-plant-atmosphere continuum (SPAC) system. The results indicate that rice roots significantly impact the daily depletion of soil moisture at a depth of 20 cm. In comparison, the influence of meteorological factors stabilizes at depths of 30 to 40 cm. By integrating soil moisture data with meteorological and plant factors, this study compared the estimated thermal diffusivity and damping depth using a multiple linear regression model with values derived from in-situ soil temperature observations. The results show consistency, further validating the model's accuracy in assessing the influence of meteorological factors at various depths. This conceptual model improves the understanding of soil moisture, plant, and atmosphere interactions in rice growth. It also provides a robust scientific basis for estimating the daily depletion of soil moisture using plant and meteorological factors, which informs the optimization of water resource management and irrigation strategies customized to different growth periods. This research aims to enhance irrigation water use efficiency by providing dynamic changes in soil moisture, contributing to better water resource management and sustainability in rice agriculture.
Keywords : Soil Moisture; Multiple Linear Regression Models; One-Dimensional Heat Conduction Model; Depth Effects; Rice Growth
How to cite: Chang, Y.-T., Chen, P.-Y., and Chen, C.-C.: Establishing a Multiple Linear Regression Model Relating the Meteorological and Plant Factors to Soil Moisture at Various Depths, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5317, https://doi.org/10.5194/egusphere-egu25-5317, 2025.
