Spatiotemporal Variation Characteristics of Potential Evapotranspiration in Yanhe River Basin

Luo Yu; Mu Xingmin; Yi Diansheng; Gao Peng; Zhao Guangju; Qiu Dexun

doi:10.13961/j.cnki.stbctb.20210309.001

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Spatiotemporal Variation Characteristics of Potential Evapotranspiration in Yanhe River Basin

- Spatiotemporal Variation Characteristics of Potential Evapotranspiration in Yanhe River Basin
- Bulletin of Soiland Water Conservation Vol. 41, Issue 2, Pages: 306-313(2021)
- 作者机构：
  
  1. 中国科学院水利部水土保持研究所, 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
  2. 中国科学院大学,北京,100049
  3. 西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
  4. 中水淮河规划设计研究有限公司,安徽,合肥,230601
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20210309.001
  CLC： P426.2
- Published：2021
- 稿件说明：
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Luo Yu, Mu Xingmin, Yi Diansheng, et al. Spatiotemporal Variation Characteristics of Potential Evapotranspiration in Yanhe River Basin[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 306-313.
DOI：

Luo Yu, Mu Xingmin, Yi Diansheng, et al. Spatiotemporal Variation Characteristics of Potential Evapotranspiration in Yanhe River Basin[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 306-313. DOI： 10.13961/j.cnki.stbctb.20210309.001.

摘要

[目的

]

研究气候变化下潜在蒸散发（ET

）的时空特征，为区域生态需水研究和水资源管理提供科学依据。[方法

]

基于延河流域1978—2017年逐日气象资料，利用Penman-Monteith方法对ET

进行计算，运用Mann-Kendall趋势检验法、Pettitt检验对ET

时空变化特征进行分析，并通过Pearson相关性分析对ET

变化的影响因子进行探讨。[结果

]

延河流域年平均ET

为923.53 mm，整体呈现上升趋势。月ET

呈单峰分布，高值月份出现于5—7月。季节上ET

表现为：夏季>春季>秋季>冬季，夏季、春季、冬季的ET

呈上升趋势，秋季呈下降趋势，春季蒸散变化速率最大。空间上，ET

呈现由西部向南部增加再向东南部减少的趋势。延安站蒸散量最大，志丹站蒸散量最小，除甘泉站外其他站点的ET

均呈上升趋势，甘泉附近地区存在“蒸发悖论”现象，主导因子是日照时数、2 m高风速和降水量。ET

变化率呈现东南高西北低的分布规律，延安站变化率最大，安塞站变化最小。平均温度、日照时数、相对湿度、气压、2 m高风速、降水量等气象因子的变化趋势和变化速率时空差异显著，同一气象因子对ET

的影响程度具有时空差异，相同因子不同变化趋势的组合对蒸散发的影响具有显著差异。[结论

]

延河流域ET

变化与平均温度、日照时数、2 m高风速的变化为正相关关系，与相对湿度、气压、降雨量的变化为负相关关系，其中与日照时数相关最为密切。

Abstract

[Objective] The spatiotemporal characteristics of potential evapotranspiration (ET0) under climate change were studied in order to provide scientific basis for researching regional ecological water demand and water resource management.[Methods] Based on the daily meteorological data of Yanhe River basin from 1978 to 2017

ET0 was calculated by Penman-Monteith method. The spatiotemporal variation characteristics of ET0 were analyzed by Mann-Kendall trend test and Pettitt test. And the influencing factors of ET0 change were analyzed by Pearson correlation analysis.[Results] The average annual ET0 of Yanhe River basin was 923.53 mm

showing an overall upward trend. Monthly ET0 showed unimodal distribution

and the highest value occurred from May to July. Seasonal ET0 showed as follows:summer > spring > autumn > winter. ET0 in summer

spring

and winter showed an upward trend

while it showed a downward trend in autumn. The spring evapotranspiration had the largest rate of change. Spatially

ET0 increased from the west to the south and then decreased to the southeast. The evapotranspiration at Yan'an station was the highest

and that at Zhidan station was the lowest. ET0 at other stations except Ganquan station was on the rise. There was an "evaporation paradox" phenomenon in the area around Ganquan station. The dominant factors were sunshine duration

2 m high wind speed and precipitation. The change rate of ET0 was higher in the southeast and lower in the northwest. The change rate of Yan'an station was the largest

while that of Ansai station was the least. The variation trend and rate of meteorological factors such as average temperature

sunshine duration

relative humidity

atmospheric pressure

2 m high wind speed and precipitation were significantly different in time and space. The influence of the same meteorological factor on ET0 was significantly different in time and space. The combination of different variation trends of the same factor had significant differences in the influence of ET0.[Conclusion] In general

the change of ET0 in Yanhe River basin is positively correlated with the change of average temperature

sunshine duration and 2 m high wind speed and negatively correlated with the change of relative humidity

atmospheric pressure and precipitation. The change of ET0 is the most correlated factor with sunshine duration.

关键词

Keywords

references

尹云鹤,吴绍洪,戴尔阜.1971-2008年我国潜在蒸散时空演变的归因[J].科学通报,2010,55(22):2226-2234.

Food and Agriculture Organization of the United Nations. Crop Evapotranspiration:Guidelines for Computing Crop Requirements[M]. Italy:Food & Agriculture Org., 1998.

Hargreaves G H. Moisture availability and crop production[J]. Transactions of the American Society of Agricultural. Engineers (ASAE), 1975,18(5):980-984.

Priestley C H B. Taylor R J. On the assessment of the surface heat flux and evaporation using large-scale parameters[J]. Monthly Weather Review, 1972,100(2):81-92.

Hamon W R. Estimating potential evapotranspiration[J]. Journal Irrig. Drain. Div. ASCE, 1963,128(1):324-338.

Thornthwaite C W. An approach toward a rational classification of climate[J]. Geographical Review, 1948,38(1):55-94.

Rohwer Carl. Evaporation from free water surface[J]. U.S. department of Agriculture Technical Bulletin, 1931,28(6):345-349.

赵娜,王治国,张复明,等.海河流域潜在蒸散发估算方法及其时空变化特征[J].南水北调与水利科技,2017,15(6):11-16,65.

童瑞,杨肖丽,任立良,等.黄河流域1961-2012年蒸散发时空变化特征及影响因素分析[J].水资源保护,2015,31(3):16-21.

钟巧,焦黎,李稚,等.博斯腾湖流域潜在蒸散发时空演变及归因分析[J].干旱区地理,2019,42(1):103-112.

韩松俊,胡和平,杨大文,等.塔里木河流域山区和绿洲潜在蒸散发的不同变化及影响因素[J].中国科学(E辑):技术科学,2009,39(8):1375-1383.

赵捷,徐宗学,左德鹏. 黑河流域潜在蒸散发量时空变化特征分析[J].北京师范大学学报(自然科学版), 2013,49(S1):164-169.

Roderick Michael L, Farquhar Graham D. The cause of decreased pan evaporation over the past 50 years[J]. Science, 2002,298(5597):1410-1411.

Zhang Yongqiang, Liu Changming, Tang Yanhong, et al. Trends in pan evaporation and reference and actual evapotranspiration across the Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres, 2007,112(12):1-12.

Xu Chongyu, Gong Lebing, Jiang Tong, et al. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang(Yangtze River) catchment[J]. Journal of Hydrology, 2006, 327(1/2):81-93.

杨晓楠.黄土高原多尺度景观格局对径流及输沙过程的影响[D].陕西杨凌:西北农林科技大学,2019.

焦菊英,王志杰,魏艳红,等.延河流域极端暴雨下侵蚀产沙特征野外观测分析[J].农业工程学报,2017,33(13):159-167.

张晓琳,熊立华,林琳,等.5种潜在蒸散发公式在汉江流域的应用[J].干旱区地理,2012,35(2):229-237.

赵玲玲,夏军,许崇育,等.水文循环模拟中蒸散发估算方法综述[J].地理学报,2013,68(1):127-136.

何,傅德平,赵志敏,等.基于GIS的新疆降水空间插值方法分析[J].水土保持研究,2008,15(6):35-37.

曹洁萍,迟道才,武立强,等. Mann-Kendall检验方法在降水趋势分析中的应用研究[J].农业科技与装备,2008(5):35-37,40.

Pettitt A N. A non-parametric approach to the change-point problem[J]. Applied Statistics, 1979,28(2):126-135.

谢炯光,曾琮,纪忠萍.中国近30年来气象统计预报进展[J].气象科技,2003(2):67-79,83.

泮苏莉.浙江省潜在蒸散发变化及水文过程研究[D].浙江杭州:浙江大学,2017.

马雪宁,张明军,王圣杰,等."蒸发悖论"在黄河流域的探讨[J].地理学报,2012,67(5):645-656.

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