海河流域饱和水汽压差时空演变及其影响因素
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(42171212);河北省自然科学基金项目(D2022402030,D2021402007)


Temporal and spatial variation and influencing factors of saturated water vapor pressure difference in the Hai River Basin
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    基于海河流域1980-2022年126个观测站点数据计算的饱和水汽压差(Vapor Pressure Deficit,VPD),评估了CRU TS 4.07、ERA5-Land和MERRA2 3套全球网格数据计算的VPD在海河流域的适用性,并采用趋势分析和相关分析等方法分析了年和季节VPD 时空演变特征和影响因素。结果表明:①ERA5-Land数据集计算的海河流域VPD相较于其他2套网格数据的偏差(BIAS)和均方根误差(Root Mean Squared Error,RMSE)更小,拟合优度更好(R2=0.9851),表明ERA5-Land数据集更适用于海河流域VPD长期变化研究;②1980-2022年海河流域年VPD值呈显著增加趋势(Trend=0.027kPa/10a,P < 0.01),VPD在春季的增加速率最快,秋季和冬季的增速较慢;③海河流域86.28%的区域年VPD呈显著增加的趋势(P < 0.05),春季、夏季、秋季和冬季VPD呈显著上升的面积占比分别为87.59%、63.57%、30.76%和77.48%;④海河流域年和季节VPD与饱和水汽压(Saturation Vapor Pressure,SVP)的相关性高于实际水汽压(Actual Vapor Pressure,AVP),VPD与相对湿度的相关系数绝对值高于气温,表明相对湿度对海河流域VPD的贡献高于气温。

    Abstract:

    Vapor pressure deficit (VPD), which defined as the difference between the saturated vapor pressure (SVP) and the actual water vapor pressure (AVP) at a selected temperature, is a key variable for measuring atmospheric aridity. It also plays an important role in modulating vegetation photosynthesis, carbon, and water exchanges. The continuously increasing VPD will lead to forest mortality, crop failures and reduced plant biomass. Analyzing its spatiotemporal characteristics and influencing factors provides a deeper understanding of the response mechanisms of terrestrial ecosystems to climate change. This study uses 126 site observations to evaluate the performance of the monthly scale VPD calculated by the Climate Research Unit gridded Time Series (CRU TS) 4.07, the fifth-generation European Centre for Medium-Range Weather Forecasts Atmospheric reanalysis version 5 (ERA5), and Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA2) at the Hai River Basin in the period of 1980-2022. Annual and seasonal VPD change trends and influencing factors were also evaluated using the Sen's slope estimator and correlation analysis in the Hai River Basin over this period. The results show that: (1) Monthly VPD estimated from the ERA5 dataset has smaller BIAS and root mean square errors (RMSE) compared to the other two grid datasets, with R2=0.9851. Therefore, the ERA5 dataset is the most suitable dataset for studying long-term VPD changes in the Hai River Basin. (2) There was a significant increasing trend of annual VPD in the Hai River Basin from 1980 to 2022, with a rate of 0.027kPa/10a (P < 0.01). VPD exhibited an upward trend across all four seasons, with the highest rates in spring (Trend=0.0433kPa/10a, P < 0.01) and summer (Trend=0.0405kPa/10a, P < 0.01) and the lowest in winter (Trend=0.010kPa/10a, P < 0.01) and autumn (Trend=0.0146kPa/10a, P=0.051). (3) Significant increases in annual VPD were observed in 86.28% of the Hai River Basin (P < 0.05), and the strong increase were mainly located in the southeast of the basin. Seasonal increases in VPD were significant in spring (87.59%), summer (63.57%), autumn (30.76%), and winter (77.48%). (4) The annual and seasonal VPD in the Hai River Basin showed significant positively correlations with SVP and significant negative correlations with AVP, with a stronger correlation between VPD and SVP than AVP. Additionally, the absolute values of the correlations between VPD and relative humidity were higher than those between VPD and temperature, indicating that relative humidity has a greater impact on VPD than temperature. Overall, our findings emphasize the importance of using high-quality climate datasets to assess the spatiotemporal characteristics and influencing factors of VPD.

    参考文献
    相似文献
    引证文献
引用本文

赵安周,李子洋,承达瑜.海河流域饱和水汽压差时空演变及其影响因素.生态学报,2025,45(1):385~394

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: