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长武地区土壤导气率及其与导水率的关系
引用本文:王卫华,王全九,李淑芹. 长武地区土壤导气率及其与导水率的关系[J]. 农业工程学报, 2009, 25(11): 120-127. DOI: 10.3969/j.issn.1002-6819.2009.11.022
作者姓名:王卫华  王全九  李淑芹
作者单位:1. 西安理工大学水利水电学院,西安,710048;四川省绵阳市北川羌族自治县水务农机局,绵阳,622750
2. 西安理工大学水利水电学院,西安,710048;中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室,杨凌,712100
3. 西安理工大学水利水电学院,西安,710048
基金项目:国家重点基础研究发展计划(973计划)(2005CB121103);中国科学院知识创新工程重要方向项目(KSCX2-YW-N-003);国家自然科学基金(40601041)
摘    要:为了寻求快速、直接、耗资低并且可用于评估野外饱和导水率的量级和其空间变异性的方法,利用PL-300土壤导气率测量仪对长武小麦试验田不同含水率、体积质量、土层、取样方向、根系密度下的导气率,以及室内原状土壤样本(248 cm3)在田间持水率情况下的导气率及饱和导水率进行了研究。发现在不同的影响因素下导气率具有一定的变化规律;含水率接近田间持水率时的土壤导气率和饱和导水率之间存在对数线性关系。土壤导气率与饱和导水率的这种预测关系在早期的试验研究中也有所反映。将本试验结果与Loll、Iverson等人的研究成果进行对比论证,验证了通过测量土壤导气率预测田间饱和导水率的方法是可行的。

关 键 词:土壤,土壤水分,预测,模型,导气率,导水率
收稿时间:2007-10-18
修稿时间:2009-07-09

Character of soil air permeability and its relationship with water conductivity in Changwu, loess region of China
Wang Weihu,Wang Quanjiu and Li Shuqin. Character of soil air permeability and its relationship with water conductivity in Changwu, loess region of China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(11): 120-127. DOI: 10.3969/j.issn.1002-6819.2009.11.022
Authors:Wang Weihu  Wang Quanjiu  Li Shuqin
Abstract:To seek the methods that are fast, direct, inexpensive as well as being used to assess the magnitude and spatial variability of K_s at field scale, we measured air permeability (K_a), bulk density, soil layers, directions, and plant root content under different water content, respectively by using soil air permeability measurement instrument (PL-300) in Changwu county, Shanxi province, and further K_s of undisturbed soil samples (248 cm~3) were measured in lab. Results showed that soil air permeability under different influence factors have a certain change law, and a log-log linear relationship between K_a measured at the actual soil-water content (close to field capacity) and K_s were found. The K_s-K_a relationship was in agreement with an earlier predictive relationship. Compared to Loll and Iverson's results, this method was confirmed to be feasible and practical.
Keywords:soils   soil moisture   forecasting   models   soil air permeability   water conductivity
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