| 沟灌入渗湿润体运移距离预测模型 |
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| 引用本文： | 聂卫波,马孝义,王术礼.沟灌入渗湿润体运移距离预测模型[J].农业工程学报,2009,25(5):20-25. |
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| 作者姓名： | 聂卫波 马孝义 王术礼 |
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| 作者单位： | 西北农林科技大学旱区农业水土工程教育部重点实验室,杨凌,712100 |
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| 基金项目： | 国家自然科学基金项目（50479052）；国家科技支撑计划课题（2006BAD11B04）；西北农林科技大学青年学术骨干计划资助课题 |
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| 摘 要： | 为进一步探明沟灌入渗湿润体的影响因素和其运移规律，该文通过黏壤土和砂土的室内沟灌入渗试验，重点研究了土壤容重、沟中水深和土壤初始含水率对沟灌入渗湿润体的影响。通过分析，发现湿润锋垂直和水平方向运移距离与时间的1/2次方呈线性函数关系，建立了包含土壤容重、沟中水深、土壤初始含水率等因素的湿润峰运移距离预测模型，并对模型进行验证，结果表明模型精度较高，用其模拟沟灌入渗湿润峰运移距离是可行的。研究结果可为改进沟灌灌水技术提供参考。
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| 关 键 词： | 沟灌 入渗 湿润体 预测模型 |
| 收稿时间： | 2007/9/27 0:00:00 |
| 修稿时间： | 2008/11/28 0:00:00 |
Forecast model for wetting front migration distance
under furrow irrigation infiltration |
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| Nie Weibo,Ma Xiaoyi and Wang Shuli.Forecast model for wetting front migration distance
under furrow irrigation infiltration[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(5):20-25. |
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| Authors: | Nie Weibo Ma Xiaoyi and Wang Shuli |
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| Institution: | Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education;Yangling 712100;China |
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| Abstract: | In order to indicate influence factors and migration laws of wetting front under furrow irrigation infiltration. Based on indoor experiment under furrow irrigation infiltration of clay loam and sandy soil, effects of soil bulk density, water depth and initial soil water content on wetting front were analyzed. Linear functional relationship were set up between wetting front vertical and horizontal migration distance and square of infiltration time, wetting front horizontal migration distance and square of infiltration time. The forecast model of wetting front migration distance was set up with the factors such as soil bulk density, water depth and soil initial water content and was verified. The results showed that the model had high accuracy and could be used to forecast the wetting front migration distance under furrow irrigation infiltration, so the results can give reference for improving furrow irrigation technique. |
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| Keywords: | furrow irrigation infiltration wetting front forecast model |
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