| 引用本文: | 李大驰,张 鑫,常浩浩,等.气候变化背景下榆林市参考作物需水量多时间尺度特征分析[J].灌溉排水学报,2019,38(5):100-106. |
| LI Dachi,ZHANG Xin,CHANG Haohao,et al.气候变化背景下榆林市参考作物需水量多时间尺度特征分析[J].灌溉排水学报,2019,38(5):100-106. |
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| 摘要: |
| 【目的】研究气候变化背景下榆林市参考作物需水量的多时间尺度变化特征及其与各气象因子的相关性，便于衡量气候变化背景下榆林市水热资源的演变特征。【方法】根据榆林气象站1959—2014年逐日气象资料（平均地表温度、平均气温、蒸发量、平均气压、平均相对湿度、日照时间和平均风速等），采用彭曼公式、Mann-Kendall突变检验、小波分析及相关分析法研究了榆林市参考作物需水量多时间尺度变化特征。【结果】1959—2014年榆林站全年及四季参考作物需水量均呈增加趋势，线性倾向率分别为30.7、11.4、6.7、5.7、6.9 mm/10 a。全年参考作物需水量突变年份为1995年，春、夏、秋三季参考作物需水量均在1998年发生突变，冬季在1989年发生突变；全年及四季参考作物需水量的第一主周期分别为26、28、27、28、26 a，第二主周期分别为8、7、9、8、4 a，第三主周期分别为4、2、4、4、12 a；参考作物需水量与平均相对湿度、日照时间、平均气温、平均风速以及年平均地表温度的相关系数分别为-0.128、0.223、0.935、0.271、0.940。【结论】榆林站1959—2014年不同时间尺度的参考作物需水量均呈增加趋势，平均气温、日平均地表温度是影响榆林气象站ET0的主要因素。 |
| 关键词: 参考作物需水量（ET0）； 彭曼公式； 小波分析法； 相关分析； 气候变化 |
| DOI：10.13522/j.cnki.ggps.20180243 |
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| Multi-scale Analysis of Change in Reference Crop Water Demand in Yulin from 1959 to 2015 |
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LI Dachi, ZHANG Xin*, CHANG Haohao, YU Chengfeng
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College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China
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| Abstract: |
| 【Objective】 Crop demand for water is postulated to grow due to climate change. This paper analyzed the reference crop evapotranspiration (ET0) and its sensitivity to different metrological factors caused by climate change in Yulin city.【Method】We first calculated the ET0 using the Penman's formula and the meteorological data measured from 1959 to 2014, and then analyzed its variation at multiple temporal and spatial scales using the Mann-Kendall test and wavelet analysis method.【Result】The annual ET0 from 1959—2014 was in rise at average rates of 30.8 mm/10a, 11.4 mm/10a, 5.7 mm/10a, 6.7 mm/10a and 6.9 mm/10a, during different periods. Annual ET0 saw a dramatic change in 1995, and the seasonal ET0 in spring, summer and autumn all saw an abrupt change in 1998; winter ET0 in 1989 differed considerably from other years. The analysis showed that the main periodic cycle of the annual ET0 was 26 a, and the cycle of the four seasonal ET0 was 27 a, 28 a, 30 a and 27 a, respectively. Inside the main cycles, there were two further cycles with different periodic time. The correlation coefficient of ET0 with average relative humidity, sunshine hours, average temperature, average wind speed and annual mean surface temperature was -0.128, 0.223, 0.935, 0.271, 0.940, respectively.【Conclusion】ET0 at different time scales at Yulin had been in rise from 1959 to 2014, and the average temperature and the annual average surface temperature are the main factors that attributed the rise in ET0. |
| Key words: reference crop evapotranspiration (ET0); Penman formula; wavelet analysis; correlation analysis; Climate change |
