中国农业气象 ›› 2022, Vol. 43 ›› Issue (11): 881-892.doi: 10.3969/j.issn.1000-6362.2022.11.002

• 农业生态环境栏目 • 上一篇    下一篇

甘肃省参考作物蒸散量时空变异驱动因子分析

马亚丽,孙栋元,张芮,许健,王兴繁   

  1. 甘肃农业大学水利水电工程学院,兰州 730070
  • 收稿日期:2021-12-16 出版日期:2022-11-20 发布日期:2022-11-18
  • 通讯作者: 孙栋元,博士,教授级高级工程师,主要从事水文水资源与干旱区水土资源研究。 E-mail:gsausundy@126.com
  • 作者简介:马亚丽,E-mail:gsaumayl@163.com
  • 基金资助:
    甘肃农业大学水利水电工程学院科研团队建设专项资助项目(Gaucwky-04);国家自然科学基金项目(51769001);甘肃省重点研发计划项目(21YF5NA015);甘肃省高等学校创新基金项目(2021B-120);甘肃省水利厅2021年水利科学试验研究及技术推广计划(GSAU-JSYF-2021-016)

Driving Factors of Temporal and Spatial Variation of Reference Crop Evapotranspiration in Gansu Province

MA Ya-li, SUN Dong-yuan, ZHANG Rui, XU Jian, WANG Xing-fan   

  1. College of Water Resources and Hydropower Engineering, Gansu Agricultural University, Lanzhou, 730070, China
  • Received:2021-12-16 Online:2022-11-20 Published:2022-11-18

摘要: 基于甘肃省29个气象站点1984-2019年逐日气象资料,分析ET0时空变化规律,结合主成分分析、聚类分析、灰色关联度、通径分析、敏感性分析等多种定性与定量分析方法,揭示ET0与气候因子间的内在关系,并探明甘肃省ET0对各气候因子敏感性及贡献大小。结果表明:近36a甘肃省ET0整体呈现显著(α=0.05)上升趋势,并于1998年发生突变。研究期内ET0空间分布呈现由东南向西北递增的趋势,甘南高原小,河西平原大,高值区ET0在1049.3~1260.9mm区间变化。主成分分析表明温度、湿度和辐射对ET0的影响较大,风速影响相对较小,聚类分析及灰色关联度分析结果显示,日最高温度Tmax、相对湿度RH、风速u、降水量P、日照时数n为5个关键气候因子,Tmax是最主要因素,P作用最小。ET0对气候因子敏感性存在差异,对RH最为敏感,且Tmax、n、u起正向作用,RH起反向作用,RH、Tmax、n、u贡献率分别为3.79%、7.22%、-0.42%和3.70%。近36a甘肃省ET0呈现增大趋势是由于RH、n减少和T升高、u增大共同作用的结果,T升高是造成ET0增加的主要原因。研究成果为该地区科学配置灌溉用水,高效开发利用水资源,揭示气候变化条件下水文循环−蒸散发环节的响应机理提供科学依据,同时,多种方法探索性结合运用为ET0变化驱动因子分析提供了新的思路。

关键词: 参考作物蒸散量, 驱动因子, 气候因子, 时空变化, 甘肃省

Abstract: Based on the daily meteorological data of 29 meteorological stations in Gansu province from 1984 to 2019, the temporal and spatial variation of ET0 was analyzed. A variety of qualitative and quantitative analysis methods including principal component analysis, cluster analysis, grey relational analysis, path analysis, sensitivity analysis were organically combined to reveal the internal relationship between ET0 and climatic factors, and to explore the sensitivity and contribution of ET0 changes to the dominant factors in Gansu Province. The results showed that ET0 increased significantly (α=0.05) in Gansu province in recent 36 years and the mutation occurred in 1998.The spatial distribution of ET0 increased from southeast to northwest during the study period. The Gannan plateau was small, while the Hexi plain was large, and the high value of ET0 varied from 1049.3mm to 1260.9mm. Principal component analysis showed that temperature, humidity and radiation had a greater impact on ET0, while wind speed had a relatively small impact. Combined with the results of cluster analysis and grey relational analysis, daily maximum temperature Tmax, relative humidity RH, wind speed u, precipitation P, and sunshine duration n were five key climatic factors. Tmax was the most important factor, and P had the least effect. ET0 had different sensitivity to climatic factors, and RH was the most sensitive. Tmax, n and u had a positive effect, while RH had a negative effect, and the contribution rates of RH, Tmax, n and u were 3.79%, 7.22%, −0.42% and 3.70%, respectively. ET0 in Gansu province showed an increasing trend in recent 36 years, which was due to the combined effects of the decrease of RH and n, and the increase of T and u. The increase of T was the main reason for the increase of ET0. The research results provide scientific basis for the scientific allocation of irrigation water, efficient development and utilization of water resources in this region, and revealing the response mechanism of hydrological cycle-evapotranspiration under climate change. Meanwhile, the exploratory combined application of multiple methods provides a new idea for the analysis of driving factors of ET0 change.

Key words: Reference crop evapotranspiration, Driving factors, Climatic factors, Temporal and spatial variation, Gansu province