中国农业气象 ›› 2023, Vol. 44 ›› Issue (07): 545-559.doi: 10.3969/j.issn.1000-6362.2023.07.001

• 农业生态环境栏目 •    下一篇

不同气候区潜在蒸散量变化趋势及归因分析

刘文辉,张宝忠,魏征,韩松俊,韩聪颖,王雅琦,韩信   

  1. 1.中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038;2.国家节水灌溉北京工程技术研究中心,北京 100048;3.天津农学院水利工程学院,天津 300392
  • 收稿日期:2022-09-06 出版日期:2023-07-20 发布日期:2023-07-17
  • 通讯作者: 张宝忠,博士,正高级工程师,主要从事节水灌溉理论与技术研究。 E-mail:zhangbaozhong333@163.com
  • 作者简介:刘文辉,博士生,主要从事蒸散发主控因子识别与尺度效应研究,E-mail:1346593719@qq.com
  • 基金资助:
    国家自然科学基金项目(52130906);中国水利水电科学研究院基本科研业务费专项项目(ID0145B022021)

Variation Trend and Attribution Analysis of Potential Evapotranspiration in Different Climate Regions

LIU Wen-hui, ZHANG Bao-zhong, WEI Zheng, HAN Song-jun, HAN Cong-ying, WANG Ya-qi, HAN Xin   

  1. 1.State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; 2. National Center of Efficient Irrigation Engineering and Technology Research-Beijing, Beijing 100048; 3.College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300392
  • Received:2022-09-06 Online:2023-07-20 Published:2023-07-17

摘要: 以全国710个气象站点常规观测资料为基础,采用Penman-Monteith公式计算1970−2017年逐日ETo,运用Mann-Kendall趋势检验法、贡献量分析法等,分析不同气候区年尺度ETo变化特征及敏感因子,量化气候因子对ETo变化的贡献。结果表明:(1) 全国710个气象站点中,有177个站点年ETo呈现显著增加趋势(0.51~5.55mm·a−1,P<0.05),147个站点ETo呈现显著减少趋势(−0.65~−5.00mm·a−1,P<0.05),而386个站点变化趋势不显著。不同气候区平均温度(T)和风速(U)呈增加趋势,相对湿度(RH)和净辐射(RN)呈减小趋势;(2)不同气候区ETo敏感因子不同,极端干旱区、干旱区和半干旱区ETo主要敏感因子为RN,半湿润区、湿润区ETo对RH最敏感,且随着湿润度的增加,ETo对RN和RH的敏感度增加;(3)ETo变化趋势受气候因子敏感性和相对变化率共同影响。极端干旱区、干旱区、半干旱区和半湿润区ETo增加主要由温度上升变率较大所致,ETo下降主要由风速下降变率较大主导,而湿润区ETo变化由其对RH和RN的高敏感性所引起。综合而言,相比较敏感系数,考虑相对变化率的贡献量指标对表征气候因子对ETo变化的影响更具有指示意义。

关键词: 气候区, 潜在蒸散发, 贡献量, 敏感系数, 相对变化率

Abstract: Based on the daily meteorological data of 710 stations from 1970 to 2017, authors apply the Mann-Kendall test method and contribution analysis method, analyze the variation characteristics of annual ETo (potential evapotranspiration) and its sensitive factors, further quantify the contribution of meteorological factors to ETo variation in different climate regions. The results showed that, (1) among 710 meteorological stations, 177 stations showed a significant increase trend (0.51 to 5.55mm·y−1, P<0.05), 147 stations showed a significant decrease trend (−0.65 to −5.00mm·y−1, P<0.05), and 386 stations showed no-significant change trend. T and U showed an increasing trend, while RH and RN showed a decreasing trend in different climate regions. (2) The sensitivity factors of ETo to meteorological variables were differ in climate regions, in extreme arid region, arid region and semi-arid region ETo was most sensitive to net radiation(RN), and most sensitive factor change to relative humidity(RH) in the semi-humid region and humid region, also the sensitivity of ETo to RH and RN increased with the increase of humidity. (3) The change trend of ETo was influenced by the sensitivity of climate factors and the relative rate of change. The rise of ETo in extreme arid region, arid region, semi-arid region and semi-humid region were mainly caused by the increase of T, while the decrease of ETo was mainly caused by the decrease of U, the change of ETo in humid region was caused by its high sensitivity to RH and RN. In summary, compared with the sensitivity coefficient, the contribution index considering the relative rate of change is more indicative of the influence of climate factors on ETo change. This study is conducive to for scientific understanding of regional climate change and hydrological cycle response mechanism.

Key words: Climate regions, Potential evapotranspiration, Contribution amount, Sensitivity coefficient, Relative rate of change