Simulating Soil Water Status of Irrigated Fields: The Effects of Soil Data and Root Water Uptake Distribution

作者：Mukesh Mehata, Sumon Datta, Saleh Taghvaeian, Ali Mirchi, Daniel N. Moriasi, Patrick J. Starks · 发表于：Journal of the ASABE · 年份：2022 · DOI：10.13031/ja.14856 · 被引用次数：1 · 研究领域：Irrigation Practices and Water Management、Soil and Unsaturated Flow、Soil Moisture and Remote Sensing

Highlights The effects of variability in two key inputs to irrigation scheduling models were investigated. Commonly used soil textural data underestimated sand particles, resulting in larger errors in simulated water content. Sensor-based root water uptake distribution led to better model performance than constant and linear patterns. Irrigation timing and amount variables were more impacted by variability in soil data than water uptake distributions. Abstract . With recent advances in web-based irrigation scheduling tools and mobile applications and the possibility of using more complex modeling approaches, it is important to evaluate the effects of variable input data on the output of these tools and models. Two types of input data that are highly variable across irrigated fields and soil profiles are soil textural data and root water uptake distribution (RWUD). In this study, root zone soil textural data from two sources of commonly used, freely available web soil survey (WSS) and time-consuming, labor-intensive in-situ sampling (ISS) were used in combination with three RWUDs (constant, linear, and sensor-based) to simulate volumetric water content (θv) at four soil layers in six irrigated fields, using the HYDRUS model. The percentage of sand particles based on WSS was about half of the measured amount on average, resulting in a considerable difference in estimated hydraulic properties and soil water thresholds. Sensor data revealed that RWUDs were highl...