黄淮海平原冬小麦最大可能蒸散的估算

作物最大可能蒸散考虑了作物及当地地表状况,为当地地表实际覆盖情况下实际蒸散的理论上限值,能客观分析作物对水分的需求程度和农业干旱状况。基于遥感(叶面积指数和地表反照率)数据和逐日气象数据,利用Penman-Monteith公式,计算黄淮海平原小麦种植区27个气象站冬小麦生育期2000-2015年逐日蒸散,提取得到冬小麦生育期逐日最大可能蒸散数据集,并分析其时空变化特征及成因。结果表明:与联合国粮农组织(FAO)单作物系数法计算的最大可能蒸散Ek对比,区域平均最大可能蒸散Ec的时间变化趋势与Ek—致,空间分布上Ec符合客观实际。黄淮海平原冬小麦全生育期、越冬期和返青一拔节期Ec均呈北低南高的分布...

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Bibliographic Details
Published in应用气象学报 Vol. 28; no. 6; pp. 690 - 699
Main Author 吴霞;王培娟;陈鹏狮;邬定荣;霍治国
Format Journal Article
LanguageChinese
Published 中国气象科学研究院,北京,100081%辽宁省气象科学研究所,沈阳,110166 2017
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ISSN1001-7313
DOI10.11898/1001-7313.20170605

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Summary:作物最大可能蒸散考虑了作物及当地地表状况,为当地地表实际覆盖情况下实际蒸散的理论上限值,能客观分析作物对水分的需求程度和农业干旱状况。基于遥感(叶面积指数和地表反照率)数据和逐日气象数据,利用Penman-Monteith公式,计算黄淮海平原小麦种植区27个气象站冬小麦生育期2000-2015年逐日蒸散,提取得到冬小麦生育期逐日最大可能蒸散数据集,并分析其时空变化特征及成因。结果表明:与联合国粮农组织(FAO)单作物系数法计算的最大可能蒸散Ek对比,区域平均最大可能蒸散Ec的时间变化趋势与Ek—致,空间分布上Ec符合客观实际。黄淮海平原冬小麦全生育期、越冬期和返青一拔节期Ec均呈北低南高的分布特征,日平均值分别为1.99 mm,0.44 mm和2.75 mm;其余3个生育期(越冬前、抽穗期、乳熟一成熟期)在空间分布上差异不大,日平均值分别为1.23 mm,4.71 mm和3.74 mm。冬小麦不同生育期(含全生育期)Ec的空间分布主要受叶面积指数分布特征的影响,二者呈显著正相关关系。
Bibliography:Crop evapotranspiration under standard conditions(Ec) is defined as the evapotranspiration from disease-free, well-fertilized crops grown in large fields, under optimum soil water conditions, and achieving full production under the given climatic conditions. The calculation of Ec considers crop and local surface conditions. Ec is the theoretical upper limit of actual evapotranspiration for actual local surface coverage,ensuring objective analysis on crop water requirements and agricultural drought. To summarize the spatial and temporal distribution characteristics and their causes of Ec, daily Ec is calculated based on PenmanMonteith method using meteorological data and satellite remote sensing data from 2000 to 2015. The meteorological data are provided by 27 meteorological stations in the winter wheat growing area of the HuangHuai-Hai Plain. The satellite remote sensing data are extracted from NASA MODIS products(LAI(MOD15 A2) and Albedo(MCD43 C3)) at the corresponding location of 27 meteorological stations
ISSN:1001-7313
DOI:10.11898/1001-7313.20170605