王全九,赵光旭,陶汪海,刘艳丽,张鹏宇,柴 晶.径流冲刷条件下坡地养分随地表径流迁移数学模型[J].农业机械学报,2016,47(7):189-195.
Wang Quanjiu,Zhao Guangxu,Tao Wanghai,Liu Yanli,Zhang Pengyu,Chai Jing.Mathematical Model of Soil Nutrient along Surface Runoff under Water Scouring Condition[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(7):189-195.
摘要点击次数: 2352
全文下载次数: 1071
径流冲刷条件下坡地养分随地表径流迁移数学模型   [下载全文]
Mathematical Model of Soil Nutrient along Surface Runoff under Water Scouring Condition   [Download Pdf][in English]
投稿时间:2016-03-10  
DOI:10.6041/j.issn.1000-1298.2016.07.026
中文关键词:  径流冲刷  黄土坡面  有效混合深度  养分迁移  地表径流
基金项目:国家自然科学基金重点项目(51239009)
作者单位
王全九 西安理工大学 
赵光旭 西安理工大学 
陶汪海 西安理工大学 
刘艳丽 西安理工大学 
张鹏宇 西安理工大学 
柴 晶 西安理工大学 
中文摘要:径流冲刷是土壤养分随地表径流流失的重要影响因素之一。为了模拟径流冲刷作用对土壤养分流失的影响,依据饱和土壤条件下有效混合深度概念,建立了径流冲刷条件下坡面土壤养分向地表径流传递的有效混合深度模型。利用试验数据对模型径流养分质量浓度变化过程的效果进行了检验,结果显示不完全混合模型在模拟径流养分质量浓度随放水时间的变化方面效果较好,决定系数均在0.9以上。通过不完全混合模型计算径流养分累计流失量,与实测数据差异很小,当养分为硝态氮时,计算值与实测值之间的相对误差分别为6.6%(柠条)和5.9%(大豆),当养分为水溶性磷时,相对误差分别为1.1%(柠条)和2.3%(大豆),说明模型的模拟精度较高。在选择模型时,应根据计算精度和参数获取方便性等情况综合确定。
Wang Quanjiu  Zhao Guangxu  Tao Wanghai  Liu Yanli  Zhang Pengyu  Chai Jing
Xi’an University of Technology,Xi’an University of Technology,Xi’an University of Technology,Xi’an University of Technology,Xi’an University of Technology and Xi’an University of Technology
Key Words:runoff scouring  loess slope  effective mixing depth  nutrient transport  surface runoff
Abstract:Overland flow is one of the important factors inducing soil nutrients loss into runoff. In order to simulate and study the effects of overland flow on soil nutrients loss, a mathematical model describing soil nutrients transport with overland flow was developed based on the concept of effective mixing depth and Kostiakvo equation. In addition, the model also makes the corresponding assumptions to simplify the infiltration process. The obtained model was denoted as the incomplete mixing model. Field water scouring experimental data was adopted to test the applicability of the proposed model. The experiment was performed on a natural, fallowed loessial slope (38°46′~38°51′N, 110°21′~110°23′E), in 14km west of the Shenmu Erosion and Environment Research Station of the Institute of Soil and Water Conservation, Chinese Academy of Sciences, in the Liudaogou watershed, Shaanxi Province. Field plots were established on a slope that had been fallowed for seven years. Vegetation types cover were adopted (herbaceous and crops), including caragana and soybean. The characteristics of the transport of runoff, nutrients (nitrogen and phosphorus) under different vegetation cover were discussed in this study. Results indicated that the incomplete mixing model performed pretty well in predicting the process of nutrients transport into runoff. The correlation coefficients were larger than 0.9 for all the treatments. Moreover, little bias was observed between the measured cumulative mass and the simulated data obtained from the incomplete mixing model. Taking nitrate nitrogen for example, the relative errors between the measured data and simulated results were 6.6% (caragana) and 5.9% (soybean). When the nutrient was soluble phosphorus, the relative errors were 1.1% (caragana) and 2.3% (soybean). For better simulation results, the calculation accuracy and simplicity in obtaining parameters should be taken into consideration during model selection. The results in this study will provide significant references for more analysis on nutrients transport into runoff with overland flow in future.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器