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<p>Differences in the response of grass and shrub plants to rainfall and evapotranspiration make the differences in their effects on shallow soil moisture on slopes unclear. It is crucial to study the long-term dynamic effects of different vegetation conditions on slope soil moisture distribution. The in situ monitoring system was deployed to obtain rainfall, evapotranspiration, and soil moisture data, and an improved GA infiltration model and prediction method for soil moisture distribution were proposed. The accuracy of the model was verified by comparing the calculation errors of different vegetation, areas, and infiltration models. The results showed that: (1) The moisture changes in Medicago sative slope during rainfall were less than in Lolium perenne; the depth of Forsythia suspensa slopes affected by rainfall was 0.4&#xa0;m, which was greater than the 1.0&#xa0;m for the Ligustrum × vicaryi. (2) The evapotranspiration of Lolium perenne was 505.59&#xa0;mm, which was greater than that of Medicago sative, and the evapotranspiration of Forsythia suspensa was 679.33&#xa0;mm, which was slightly greater than that of Ligustrum × vicaryi. (3) The improved GA model outperforms the uniform GA model and other infiltration models to a depth of 400&#xa0;mm and is applicable to different regions. (4) Water loss from unvegetated slopes during the frost stage accounted for 0.34 of the sums of evapotranspiration and effective rainfall, while Medicago sative, Lolium perenne, Forsythia suspensa, and Ligustrum × vicaryi accounted for 0.55, 0.95, 0.96, and 0.97. The findings serve to improve the accuracy of predictions of water infiltration times.</p>

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Analysis of evapotranspiration and rainfall infiltration pattern of vegetated slopes based on in situ tests

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Yalong Li,
  • Xiao Yang,
  • Guolin Yang,
  • Yuliang Lin,
  • Ye Ma

摘要

Differences in the response of grass and shrub plants to rainfall and evapotranspiration make the differences in their effects on shallow soil moisture on slopes unclear. It is crucial to study the long-term dynamic effects of different vegetation conditions on slope soil moisture distribution. The in situ monitoring system was deployed to obtain rainfall, evapotranspiration, and soil moisture data, and an improved GA infiltration model and prediction method for soil moisture distribution were proposed. The accuracy of the model was verified by comparing the calculation errors of different vegetation, areas, and infiltration models. The results showed that: (1) The moisture changes in Medicago sative slope during rainfall were less than in Lolium perenne; the depth of Forsythia suspensa slopes affected by rainfall was 0.4 m, which was greater than the 1.0 m for the Ligustrum × vicaryi. (2) The evapotranspiration of Lolium perenne was 505.59 mm, which was greater than that of Medicago sative, and the evapotranspiration of Forsythia suspensa was 679.33 mm, which was slightly greater than that of Ligustrum × vicaryi. (3) The improved GA model outperforms the uniform GA model and other infiltration models to a depth of 400 mm and is applicable to different regions. (4) Water loss from unvegetated slopes during the frost stage accounted for 0.34 of the sums of evapotranspiration and effective rainfall, while Medicago sative, Lolium perenne, Forsythia suspensa, and Ligustrum × vicaryi accounted for 0.55, 0.95, 0.96, and 0.97. The findings serve to improve the accuracy of predictions of water infiltration times.