单 位：
北京师范大学地表过程与资源生态国家重点实验室;青海师范大学地理科学学院;北京师范大学遥感科学国家重点实验室;北京师范大学遥感科学与工程研究院
关键词：
参考作物需水量;太阳辐射;Penman-Monteith公式;差异性分析;中国;农业区
摘 要：
针对中国太阳辐射站点观测数据较少的客观条件,以联合国粮农组织(FAO)建议的通过Angstrom公式及其参数计算的地表太阳辐射(R_(s-c))对中国九大农业区基于Penman-Monteith(PM)公式计算的参考作物需水量(ET_(0-PM))的影响为目标,利用中国地面气候资料月值数据集和中国辐射月值数据集中的112个站点1957年1月—2017年3月的气象要素逐月有效观测日均值数据,通过对比分析和相关分析,讨论了站点R_(s-c)与观测的地表太阳辐射(R_(s-o))的时空差异,以及二者分别输入PM公式获得的ET_(0-c)和ET_(0-o)的时空差异。结果表明:基于年内时空尺度的各农业区R_(s-c)和R_(s-o)存在显著且不稳定的差异,R_(s-c)直接替代R_(s-o)参与计算ET_(0-c)可能出现较大的误差。基于R_(s-c)和R_(s-o)分别计算的ET_(0-c)和ET_(0-o),无论是在全国,还是各个农业区,均存在显著的线性相关性,R~2超过0.67,ET_(0-c)平均值只有0.06～0.26 mm/d的误差。考虑中国的农业地域类型,应对北方地区的"春旱"灌溉需求,可以直接以R_(s-c)计算获得ET_(0-c),而在全国范围内的夏季"伏旱"期,输入R_(s-c)计算的ET_(0-c)比输入R_(s-o)计算的ET_(0-o)偏大。在高精度的节水农业应用中,建议研究相应的校正模型对夏季ET_(0-c)进行校准。
译 名：
Influence of Solar Radiation Empirical Values on Reference Crop Evapotranspiration Calculation in Different Regions of China
作 者：
XIA Xingsheng;ZHU Xiufang;PAN Yaozhong;ZHANG Jinshui;State Key Laboratory of Remote Sensing Science,Beijing Normal University;Institute of Remote Sensing Science and Engineering,Beijing Normal University;State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University;School of Geographical Sciences,Qinghai Normal University;
关键词：
reference crop evapotranspiration;;radiation parameters;;Penman-Monteith formula;;difference analysis;;China;;agricultural regions
摘 要：
Solar radiation(R_s)is a necessary input variable for Penman-Monteith(PM)formula recommended by FAO to calculate reference crop evapotranspiration(ET_(0-PM)).The influence analysis of solar radiation(R_(s-c))from Angstrom equation and its parameters on ET_(0-c)calculation based on PM was taken as the objective in nine agricultural regions of China.Using monthly valid average solar radiation(R_(s-o))(from dataset of monthly values of radiation data from Chinese Surface Stations)and relative sunshine duration data(from dataset of monthly values of climate data from Chinese Surface Stations)at 112 stations during Jan.1957—Mar.2017,through comparative analysis and correlation analysis,the spatiotemporal differences between R_(s-c)and R_(s-o)were mainly explored.Then the spatiotemporal differences between ET_(0-c)and ET_(0-o)were obtained by input R_(s-c)and R_(s-o)to PM respectively,and it was also analyzed for illustrating the applicability of R_(s-c)to ET_(0-PM)calculation in different regions of China.The result showed that R_(s-c)and R_(s-o)in the nine agricultural regions had significant and unstable spatial and temporal differences.There may be a large error when R_(s-c)directly replaced R_(s-o)to participate in the calculation of ET_(0-PM).However,the analysis of the spatiotemporal difference of ET_(0-c)and ET_(0-o)showed that whether in the entire continent,or the agricultural regions,ET_(0-c)and ET_(0-o)were characterized by a significant and relatively stable linear correlation,the R~2 was more than 0.67 and the error of mean ET_(0-c )was only 0.06～0.26 mm/d.Considering China’s agricultural region types,dealing with the"spring drought"in the northern area of irrigation demand,the application can be directly to get ET_(0-PM)by R_(s-c),but for the"summer drought"period nationally,ET_(0-c)was slants bigger than ET_(0-o),and the corresponding correction model was necessary in the application of high precision of water-saving agriculture.
