A Novel Shifting Framework to Describe Bimodal Soil Hydraulic Properties
Yunquan Wang, Rui Ma, Ziyong Sun, Kunpeng Zhou, Gaofeng Zhu
China University of Geosciences Ministry of Ecology and Environment Lanzhou University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Accurately describing bi‐ or multi‐modal soil hydraulic properties (SHPs) is essential for understanding soil water flow processes. Traditional bimodal models, based on capillary theory, often require numerous empirical parameters and fail to adequately represent macropore flow driven by gravity and film flow held by adsorption forces. In this study, we introduce a novel framework to describe bimodal SHPs by shifting from a reference unimodal model. We propose a new bimodal soil hydraulic model based on the widely used unimodal van Genuchten–Mualem (VGM) model and incorporate the additional effects of adsorption forces. The so‐called VGM‐Bi model introduces two additional parameters, which can be easily derived or constrained from the measured soil water retention curve (SWRC), enhancing its usability. We further propose a modified version, the VGM‐Bi‐Macro model, to account for macropore effects by using a hydraulic conductivity value at a slightly negative matric potential as a new matching point. Evaluation with 25 soil samples shows that the VGM‐Bi model accurately captures bimodal SWRCs but struggles with bimodal hydraulic conductivity curves (HCCs) for a few samples. In contrast, the VGM‐Bi‐Macro model effectively captures both. Specifically, the VGM‐Bi‐Macro model achieves a slightly lower mean root‐mean‐square error (RMSE) of 0.200 in estimating HCCs and nearly half the RMSE (0.008 cm 3 cm −3 ) in estimating SWRCs compared to the VGM‐Bi model (0.229 and 0.014 cm 3 cm −3 ) and an existing bimodal model (0.262 and 0.015 cm 3 cm −3 ), underscoring the importance of gravity‐driven macropore flow. These models offer a physically meaningful and efficient tool for simulating water flow in structured soils.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Soil and Unsaturated Flow
Soil Moisture and Remote Sensing · Groundwater flow and contamination studies