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| 土壤斥水性对含水率的响应模型研究 | |
| 引用本文： | 陈俊英,吴普特,张智韬,Gideon Oro,汪志农.土壤斥水性对含水率的响应模型研究[J].农业机械学报,2012,43(1):63-67,82. |
| 作者姓名： | 陈俊英 吴普特 张智韬 Gideon Oro 汪志农 |
| 作者单位： | 1. 西北农林科技大学水利与建筑工程学院,陕西杨凌712100;中国科学院水利部水土保持研究所,陕西杨凌712100 2. 西北农林科技大学水利与建筑工程学院,陕西杨凌,712100 3. 本古里安大学Blaustein沙漠研究所,思德博克84990,以色列 |
| 基金项目： | 中国博士后科学基金资助项目（20110491700）;武汉大学水资源与水电工程科学国家重点实验室开放基金资助项目（2010B070）;西北农林科技大学人才专项资金资助项目（2009） |
| 摘 要： | 选用以色列3类不同质地的10种不同斥水性的土壤为研究对象，采用滴水穿透时间法测定土壤斥水性对含水率的响应关系，得到了不同土壤斥水持续时间随含水率变化的规律，通过Gaussian模型、Lorentzian模型和Lognormal模型对这种规律进行回归分析，最终得出了土壤斥水持续时间随含水率的变化规律符合Lorentzian模型。由此响应模型，就可以根据某种土壤部分斥水性对含水率响应的实测数据，计算出土壤斥水性的峰值含水率、峰值斥水性以及临界含水率，为不同土壤斥水性进行对比和土壤改良提供理论依据。 |
| 关 键 词： | 土壤斥水性 土壤含水率 响应模型 回归 |
Response Models for Soil Water Repellency and Soil Moisture |
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| Chen Junying,Wu Pute,Zhang Zhitao,Gideon Oro and Wang Zhinong.Response Models for Soil Water Repellency and Soil Moisture[J].Transactions of the Chinese Society of Agricultural Machinery,2012,43(1):63-67,82. | |
| Authors: | Chen Junying Wu Pute Zhang Zhitao Gideon Oro and Wang Zhinong |
| Institution: | Northwest A & F University;Institute of Soil and Water Conservation, CAS & MWR;Northwest A & F University;Northwest A & F University;Ben-Gurion University of the Negev;Northwest A & F University |
| Abstract: | The relationships between the soil water repellency and soil moisture were studied by measuring WDPT using 10 different water repellent soils collected from Israel. A single peak curve correlation of the relationships between the WDPT and soil moisture was obtained after analysis. Three mathematic models, namely Gaussian, Lorentzian and Lognormal distributions were used for fitting the models by regression analysis, and the Lorentzian distribution was found to be the best model for the practical use. The peak soil moisture, the peak WDPT and the critical soil moisture can be computed by the model of part measured WDPT and soil moisture. It can provide the theory for amelioration of soil and compare of the different repellent soils. |
| Keywords: | Soil water repellency Soil moisture Response model Regression |
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