基于动态数据推求油茶作物系数的方法探讨  

Study on the Method of Deducing the Crop Coefficient of Sasanqua Based on Dynamic Data

作　　者：王小军[1,2] 易小兵[1,2] WANG Xiaojun;YI Xiaobing(Guangdong Institute of Water Resources and Hydropower Research,Guangzhou 510635,China;Guangdong Provincial Key Laboratory of Hydrodynamics Research,Guangzhou 510635,China)

机构地区：[1]广东省水利水电科学研究院,广东广州510635 [2]广东省水动力学应用研究重点实验室,广东广州510635

出　　处：《人民珠江》2018年第10期97-101,共5页Pearl River

基　　金：广东省水利科技创新项目"南方坡地地下滴灌节水配套应用集成技术研究与推广"(2014-10)

摘　　要：在2017年对两个试验点油茶生育期内试验观测基础上,利用逐小时动态连续的土壤含水量数据和系列气象资料,计算了逐日的作物系数。结果表明:两个试验点油茶的作物系数年变化具有相对一致的规律性,年内变化呈双峰特征,峰值出现在6月份和8、9月份两个阶段。同时,受土壤质地、生长状况及降水等变量因素的影响也存在一定程度的变异性,各月Kc圴值总体以始兴点高于怀集点。研究以期为灌溉需水量计算中确定作物系数提供一种简便且切合当地实际的途径。In 2017, the daily crop coefficient was calculated by using the soil moisture content data and serial meteorological data hour by hour on the basis of the experimental observation of sasanqua in two test sites during the growth period. The results showed that the annual variation of the crop coefficients of sasanqua was relatively uniform in the two experimental sites, and the annual variation presented a bimodal feature with the peak appearing in June, August and September. At the same time, there was a certain degree of variability because of some factors such as soil texture, growth status and precipitation. Also, the K c values for each month were generally higher in Shixing than Huaiji. The study was expected to provide a simple and practical way to determine crop coefficients in irrigation water demand calculation.

关 键 词：作物蒸发蒸腾 作物系数 作物耗水量 需水量 节水灌溉 

分 类 号：S311[农业科学—作物栽培与耕作技术]