聂堂哲,张忠学,林彦宇,陈鹏,孙仲益.1959—2015年黑龙江省玉米需水量时空分布特征[J].农业机械学报,2018,49(7):217-227.
NIE Tangzhe,ZHANG Zhongxue,LIN Yanyu,CHEN Peng,SUN Zhongyi.Spatial and Temporal Distribution Characteristics of Maize Water Requirement in Heilongjiang Province during 1959—2015[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(7):217-227.
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1959—2015年黑龙江省玉米需水量时空分布特征   [下载全文]
Spatial and Temporal Distribution Characteristics of Maize Water Requirement in Heilongjiang Province during 1959—2015   [Download Pdf][in English]
投稿时间:2018-01-18  
DOI:10.6041/j.issn.1000-1298.2018.07.026
中文关键词:  玉米  黑龙江省  有效降雨量  需水量  灌溉需水量  单作物系数法
基金项目:“十二五”国家科技支撑计划项目(2014BAD12B01)
作者单位
聂堂哲 东北农业大学 
张忠学 东北农业大学 
林彦宇 农业部农业水资源高效利用重点实验室
黑龙江八一农垦大学 
陈鹏 东北农业大学 
孙仲益 北海道大学 
中文摘要:基于黑龙江省26个气象站1959—2015年的逐日气象数据和14个农业气象观测站的1991—2008年玉米生育期观测资料,利用单作物系数法和Arcmap的空间分析功能计算并绘制了玉米生育期内各月有效降雨量(Effective precipitation)、需水量(Crop water requirement)和灌溉需水量(Irrigation requirement)及三者气候倾向率的分布图,揭示了黑龙江省玉米水分供需的时空分布规律。结果表明:黑龙江省玉米生育期有效降雨量平均值为302mm,高值区位于中部地区,5—6月呈增长趋势,7—9月呈下降趋势;需水量平均值为383mm,自西向东总体呈先减小后增大的分布趋势,除9月外,全生育期及各月需水量均呈减小趋势;灌溉需水量平均值为153mm,其分布与需水量分布相似,西部地区灌溉需水量较大,5、7月呈减小趋势,而8、9月呈大幅增加趋势,应在7、8月适时补充灌溉,保障玉米产量。本研究可为黑龙江省玉米种植区灌溉水资源分配和灌溉制度制定提供科学依据。
NIE Tangzhe  ZHANG Zhongxue  LIN Yanyu  CHEN Peng  SUN Zhongyi
Northeast Agricultural University,Northeast Agricultural University,Key Laboratory of Agricultural Water Resource Use, Ministry of Agriculture;Heilongjiang Bayi Agricultural University,Northeast Agricultural University and Hokkaido University
Key Words:maize  Heilongjiang Province  effective precipitation  crop water requirement  irrigation requirement  single crop coefficient method
Abstract:Distribution maps of effective precipitation (Pe), crop water requirement (ETc), irrigation requirement (Ir) and their climatic tendencies during maize growth period were calculated and drawn by single crop coefficient method Arcmap spatial analysis based on daily meteorological data in 1959—2015 of 26 meteorological stations and maize growth observation data in 1991—2008 of 14 agrometeorological stations in Heilongjiang Province. The spatial and temporal distribution of maize water supply and demand in Heilongjiang Province was revealed. The result showed that the average value of Pe in Heilongjiang Province during maize growth period was 302mm, and the high value area was located in the central area, it showed an increasing trend in May and June, a decreasing trend from July to October. The average ETc was 383mm, and it was decreased first, and then increased from west to east, ETc during the whole growth period and each month showed a increasing trend except September. The average Ir was 153mm, and its spatial distribution was similar to that of ETc, Ir in the western area was larger, it decreased in May and July, and increased greatly in August and September. Irrigation should be supplemented in time in July and August to ensure maize yield. The research result provided a scientific basis for the allocation of irrigation water resource and the formulation of irrigation practice in maize planting area of Heilongjiang Province.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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