检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:赵玉杰 韩松俊[1] 张宝忠[1] 张晓龙 赵风华[3] ZHAO Yujie;HAN Songjun;ZHANG Baozhong;ZHANG Xiaolong;ZHAO Fenghua(State Key Laboratory of Simulation and Regulation of Water Cycle in Rirer Basin,China Institute of Water Resources and Hydropower Research,Beijing 100038,China;Center for Agricultural Resources Research,Institute of Genetics and Dereloprmental Biology,Chinese Academy of Sciences/Key Laboratory of Agricultural Water-Saving,Shijiazhuang 050022,China;.3.Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Rssearch,Chinese Academy of Sciences,Beijing 100101,China)
机构地区:[1]流域水循环模拟与调控国家重点实验室中国水利水电科学研究院,北京100038 [2]中国科学院遗传与发育生物学研究所农业资源研究中心中国科学院农业水资源重点实验室河北省节水农业重点实验室,河北石家庄050022 [3]中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京100101
出 处:《中国水利水电科学研究院学报(中英文)》2022年第5期473-484,共12页Journal of China Institute of Water Resources and Hydropower Research
基 金:国家自然科学基金项目(52130906,52079147);中国水利水电科学研究院“五大人才计划”项目(ID0199A062021)。
摘 要:华北平原冬小麦-夏玉米一年两熟制农田蒸发量的估算和分析对灌溉管理和区域气候变化的研究都具有重要的意义,基于广义互补原理的蒸发估算方法的适用性需要探讨。本文利用华北平原四个冬小麦-夏玉米两熟制农田通量站点数据,验证Brutsaert(2015)的基本式及Crago(2016)和Szilagyi(2017)的基于动态标度的线性和多项式公式的适用性。采用Penman初始风速函数时,设定α=1.26三个公式都能较好地模拟实际蒸发量,其中Brutsaert的基本式表现最好。标度后的线性公式模拟效果优于标度后的多项式公式,且采用基于Monin-Obukhov相似理论的风速函数时,标度后的线性公式估算效果优于Brutsaert的基本式。公式中的参数α在小麦季、玉米季和间作期分别率定能提高公式的模拟效果,缩小不同公式模拟效果之间的差距。The applicability of evaporation estimation methods based on the generalized complementarity principle is unclear in double cropping farmland in the North China Plain.In this paper, the Brutsaert(2015) ’s generalized complementary polynomial equation, the scaled linear equation by Crago(2016) and the scaled polynomial equation by Szilagyi(2017) are verified using the data of four flux sites over winter wheat-summer maize double cropping farmland in North China Plain.When Penman(1948)’s original wind speed function is used, all the three equations perform well for evaporation estimation with the default parameter α=1.26,and Brutsaert’s basic formula performs the best.The scaled linear equation performs better than the scaled polynomial equation, and even performs better than Brutsart’s basic formula when the wind speed function based on the Monin-Obukhov similarity theory is used.The performances for evaporation estimation can be substantially improved by calibrating the parameter α in the wheat season, maize season and inter-cropping period respectively, and the difference among the three equations can be reduced.
分 类 号:S274[农业科学—农业水土工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.30