Scholarlink

<p>Through this study, we aim to identify the precise position for the placement of soil moisture sensor, representative of the entire root zone in case of sub-surface drip irrigated (SDI) sugarcane. The sugarcane crop was raised in sandy-loam textured soil under SDI with drip laterals placed at varying sub-surface depths i.e. 20&#xa0;cm, 25&#xa0;cm, and 30&#xa0;cm) from the soil surface, moisture readings were taken through gravimetric method during the initial crop growth period of 43 days to calibrate and validate the HYDRUS-2D model. The wetting pattern was observed across 12 nodes covering the 4 vertical depths i.e. 10&#xa0;cm above the drip depth, at the drip depth and 20 and 40&#xa0;cm below the drip depth and 3 lateral positions i.e. 10, 20 and 30&#xa0;cm away from the dripper. The calibrated model was then used to test its accuracy at various nodes for the rest of the crop growth season. The statistical analysis between observed and simulated moisture levels at different lateral depths yielded promising a coefficient of determination (R²) ranging from 0.76 to 0.85, Root Mean Squared Error between 0.004 and 0.015, Relative Absolute Error from 0.43 to 0.90, and Mean Absolute Percentage Error spanning 3.48 to 8.67. Analysis of moisture distribution post-irrigation revealed that deeper emitter depths (25&#xa0;cm and 30&#xa0;cm) exhibited higher moisture retention after 24&#xa0;h, which particularly benefits deep-rooted crops and causes lower evaporation losses. Maximum moisture variation was observed at node 5, where the volumetric moisture content ranged between 0.20 and 0.24&#xa0;cm³/cm³ at 1&#xa0;h to 0.16–0.18, 0.14–0.15, 0.12–0.13 and 0.11–0.12&#xa0;cm³/cm³ at 4, 8, 16 and 24&#xa0;h respectively after irrigation for different subsurface drip depths. Based on the observations as well as simulated wetting patterns, it was suggested that a peripheral distance of 10&#xa0;cm from the emitter captures the maximum soil moisture variation and thus, is optimal for the placement of moisture sensor for real-time moisture sensing and irrigation scheduling irrespective of the subsurface lateral depth. The HYDRUS-2D model demonstrated precision in simulating moisture profiles, emphasizing its critical role for sensor placement in optimizing irrigation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimizing Sensor Placement for Subsurface Drip Irrigation in Sugarcane Using HYDRUS Simulations

  • 期刊论文

  • 发表日期：

    2026年7月11日

查看全文
  • Amina Raheja,
  • Sunil Garg,
  • Pooja Goyal,
  • Rakesh Sharda

摘要

Through this study, we aim to identify the precise position for the placement of soil moisture sensor, representative of the entire root zone in case of sub-surface drip irrigated (SDI) sugarcane. The sugarcane crop was raised in sandy-loam textured soil under SDI with drip laterals placed at varying sub-surface depths i.e. 20 cm, 25 cm, and 30 cm) from the soil surface, moisture readings were taken through gravimetric method during the initial crop growth period of 43 days to calibrate and validate the HYDRUS-2D model. The wetting pattern was observed across 12 nodes covering the 4 vertical depths i.e. 10 cm above the drip depth, at the drip depth and 20 and 40 cm below the drip depth and 3 lateral positions i.e. 10, 20 and 30 cm away from the dripper. The calibrated model was then used to test its accuracy at various nodes for the rest of the crop growth season. The statistical analysis between observed and simulated moisture levels at different lateral depths yielded promising a coefficient of determination (R²) ranging from 0.76 to 0.85, Root Mean Squared Error between 0.004 and 0.015, Relative Absolute Error from 0.43 to 0.90, and Mean Absolute Percentage Error spanning 3.48 to 8.67. Analysis of moisture distribution post-irrigation revealed that deeper emitter depths (25 cm and 30 cm) exhibited higher moisture retention after 24 h, which particularly benefits deep-rooted crops and causes lower evaporation losses. Maximum moisture variation was observed at node 5, where the volumetric moisture content ranged between 0.20 and 0.24 cm³/cm³ at 1 h to 0.16–0.18, 0.14–0.15, 0.12–0.13 and 0.11–0.12 cm³/cm³ at 4, 8, 16 and 24 h respectively after irrigation for different subsurface drip depths. Based on the observations as well as simulated wetting patterns, it was suggested that a peripheral distance of 10 cm from the emitter captures the maximum soil moisture variation and thus, is optimal for the placement of moisture sensor for real-time moisture sensing and irrigation scheduling irrespective of the subsurface lateral depth. The HYDRUS-2D model demonstrated precision in simulating moisture profiles, emphasizing its critical role for sensor placement in optimizing irrigation.