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澳大利亚参考作物蒸散量变化及影响因素分析

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[目的] 探讨参考作物蒸散量在全球气候变化环境中的区域响应形式及其影响因素.[方法] 利用Penman-Monteith方程计算澳大利亚1998~2007年的参考作物蒸散量(ET_0),通过GIS方法分析ET_0的时空变化特征并探讨ET_0与主要气候因子的关系.[结果] ①多年平均ET_0呈半环状分布,自东、南2面向西北部和内陆逐渐增加,与气候带分布具有较高的空间一致性;②全区平均ET_0约1 750 mm,2000年取得最小值(1 647.97 mm),2002年取得最大值(1 851.45 mm);③ ET_0按夏、春、秋、冬的顺序递减,1、12月ET_0最高,分别为200.42和201.24 mm,6月最低,为79.55 mm;④ ET_0与平均气温、太阳辐射量呈正相关,确定性系数分别为0.83、0.94,与平均相对湿度呈负相关关系,与降水量没有明显的相关性.[结论] 该研究为澳大利亚的作物需水量研究及灌溉措施的制定提供了参考.
Analysis of Reference Evapotranspiration Change and Its Impact Factors in Australia
[Objective] To discuss regional response of reference evapotranspiration (ET_0) to global climate change and its influencing factors. [Method] Penman-Monteith equation was adopted to calculate ET_0 in Australia from 1998 to 2007. Spatiotemporal variation characteristics were analyzed by using GIS spatial analysis tools and relationships between ET_0 and main climate factors were also analyzed. [Results] The results showed that multi-year mean ET_0 increased from the east and south part to the northwest part and inland, and its distribution was consistent with climate zones, multi-year regional mean ET_0 was 1 750 mm, obtaining minimum and maximum values in 2000 and 2002 respectively; regional ET_0 decreased in the order of summer, spring, autumn and winter, January and December got the highest monthly ET_0, while June got the lowest value 79.55 mm; ET_0 positively correlated with average air temperature and sun radiation, R~2 for each were 0.83 and 0.94, while the relationship between ET_0 and average relative humidity was negative, and precipitation had no significant relationship with ET_0. [Conclusion] This research could provide important reference for crop water requirement study and making irrigation method for Australia.

AustraliaReference evapotranspirationPenman-Monteith equationSpatiotemporal variation

谢今范、曾丽红、宋开山、张柏

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吉林省气候中心,吉林长春,130024

中国科学院东北地理与农业生态研究所,吉林长春,130012

澳大利亚 参考作物蒸散量 Penman-Monteith方程 时空变化

中国科学院知识创新工程重要方向性项目中国科学院东北地理所前沿领域项目

KZCX-XY-340C08Y46

2009

安徽农业科学
安徽省农业科学院

安徽农业科学

CSTPCD北大核心
影响因子:0.413
ISSN:0517-6611
年,卷(期):2009.37(33)
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