基于气象信息的膜下滴灌棉花实时灌溉预报

应用生态学报

基于气象信息的膜下滴灌棉花实时灌溉预报

申孝军^1,2,孙景生^1,2**,李明思³,张寄阳^1,2,王景雷^1,2,李东伟¹

(¹中国农业科学院农田灌溉研究所，河南新乡 453002； ²农业部作物需水与调控重点实验室，河南新乡 453002； ^3石河子大学水利建筑工程学院，新疆石河子 832000)

出版日期:2015-02-18 发布日期:2015-02-18

Real-time irrigation forecast of cotton mulched with plastic film under drip irrigation based on meteorological date.

SHEN Xiao-jun^1,2, SUN Jing-sheng^1,2, LI Ming-si³, ZHANG Ji-yang^1,2, WANG Jing-lei^1,2, LI Dong-wei¹

(¹Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453002, Henan, China; ^2Ministry of Agriculture Key Laboratory of Crop Water Use and Regulation, Xinxiang 453002, Henan, China; ³College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832000, Xinjiang, China)

Online:2015-02-18 Published:2015-02-18

摘要/Abstract

摘要：

基于气象信息和棉花生长发育状况预测膜下滴灌棉花实时耗水量，对提高膜下滴灌棉花实时灌溉预报精度十分重要.本文利用石河子垦区1953—2008年的历史气象资料确定了基于Hargreaves公式计算参考作物需水量的基本参数，根据2009—2010年2个生长季的大田膜下滴灌试验数据建立了基于积温的作物系数计算模型，在此基础上构建了石河子垦区膜下滴灌棉田实时灌溉预报模型，并利用2011年田间试验数据对模型预报结果进行验证.结果表明：膜下滴灌条件下，研究区棉花苗期、蕾期及花铃期预测结果和实测结果相对误差绝对值的平均值分别为3.7%、2.4%和1.6%，而且该模型可以根据实时气象资料对预报结果进行实时修正，可以用于指导当地膜下滴灌棉田水分管理.

Abstract: It is important to improve the realtime irrigation forecasting precision by predicting realtime water consumption of cotton mulched with plastic film under drip irrigation based on meteorological data and cotton growth status. The model parameters for calculating ET₀ based on Hargreaves formula were determined using historical meteorological data from 1953 to 2008 in Shihezi reclamation area. According to the field experimental data of growing season in 2009-2010, the model of computing crop coefficient K_c was established based on accumulated temperature. On the basis of crop water requirement (ET₀) and K_c, a realtime irrigation forecast model was finally constructed, and it was verified by the field experimental data in 2011. The results showed that the forecast model had high forecasting precision, and the average absolute values of relative error between the predicted value and measured value were about 3.7%, 2.4% and 1.6% during seedling, squaring and blossomboll forming stages, respectively. The forecast model could be used to modify the predicted values in time according to the realtime meteorological data and to guide the water management in local filmmulched cotton field under drip irrigation.

申孝军1,2,孙景生1,2**,李明思3,张寄阳1,2,王景雷1,2,李东伟1. 基于气象信息的膜下滴灌棉花实时灌溉预报[J]. 应用生态学报.

SHEN Xiao-jun1,2, SUN Jing-sheng1,2, LI Ming-si3, ZHANG Ji-yang1,2, WANG Jing-lei1,2, LI Dong-wei1. Real-time irrigation forecast of cotton mulched with plastic film under drip irrigation based on meteorological date.[J]. Chinese Journal of Applied Ecology.