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作 者:龙星玥 袁淑杰[1] 白爱娟[1] 邹双泽 于飞 彭映杰 谷晓平 Long Xingyue;Yuan Shujie;Bai Aijuan;Zou Shuangze;Yu Fei;Peng Yingjie;Gu Xiaoping(School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225;Guizhou Institute of Mountainous Environment and Climate,Guiyang 550002;College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225;Guizhou Center for Ecological Meteorology and Satellite Remote Sensing,Guiyang 550002)
机构地区:[1]成都信息工程大学大气科学学院,成都610225 [2]贵州省山地环境气候研究所,贵阳550002 [3]成都信息工程大学通信工程学院,成都610225 [4]贵州省生态气象和卫星遥感中心,贵阳550002
出 处:《气象科技进展》2021年第4期156-164,共9页Advances in Meteorological Science and Technology
基 金:贵州省高层次创新人才培养[黔科合人才(2016)]4026号。
摘 要:根据2011—2015年贵州省51个常规地面气象观测站逐日资料及自动土壤水分观测站资料,利用农田土壤水分平衡方程,计算了贵州省淡季番茄生育期灌溉量。简要分析了贵州省淡季番茄灌溉量的空间分布特征,以及不同播种日期番茄灌溉量的时空变化特征;同时利用Python语言对最小灌溉量播种日期进行EOF分析,找到灌溉量最小播种日期及地区,对增加贵州省淡季番茄产量及降低成本有指导性作用。Based on the data of daily of meteorological stations(2011—2015)in Guizhou Province and automatic soil water observation station data,the irrigation volume of tomato in the off-season in Guizhou Province was calculated by using the farmland soil moisture balance equation.The spatial distribution characteristics of tomato irrigation volume in the off-season in Guizhou Province and the temporal and spatial variation characteristics of tomato irrigation volume in different planting dates were analyzed.Meanwhile,the Python language was used to carry out EOF analysis on the sowing date with minimum irrigation volume,so as to find out the sowing date and region with minimum irrigation volume,which has a guiding effect on increasing the output of tomatoes in the off-season of Guizhou Province and reducing the cost.
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