A SENSITIVITY STUDY OF APPLYING A TWO-SOURCE POTENTIAL EVAPOTRANSPIRATION MODEL IN THE STANDARDIZED PRECIPITATION EVAPOTRANSPIRATION INDEX FOR DROUGHT MONITORING

被引:34
|
作者
Zhang, Baoqing [1 ]
Wang, Zikui [2 ]
Chen, Guan [1 ]
机构
[1] Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China
[2] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Lanzhou 730020, Gansu, Peoples R China
基金
中国国家自然科学基金;
关键词
droughts; potential evapotranspiration (PET); two-source PET model; drought index; Loess Plateau; KARST ROCKY DESERTIFICATION; LOESS PLATEAU; HYDROLOGICAL RESPONSE; SOIL-EROSION; TIME SCALES; RIVER BASIN; LAND; CLASSIFICATION; CONSERVATION; EVAPORATION;
D O I
10.1002/ldr.2548
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Standardized Precipitation Evapotranspiration Index (SPEI) based on three different potential evapotranspiration (PET) estimation methods, including the Thornthwaite (TW) equation, the Penman-Monteith (PM) equation, and the Two-Source (2S) PET model were compared and evaluated by observed evidences over the Loess Plateau, which includes large area of sparse vegetation cover. The results show that the Loess Plateau has experienced substantial climate warming over the past four decades, which intensively raised the atmospheric water demand (PET), thus the drought condition. The upward trends of PETTW were the most extensive, while the upward trends of PET2S and PETPM were similar to each other. The differences between SPEIPM and SPEITW were larger than the differences between SPEIPM and SPEI2S. The variability of SPEI2S and SPEIPM were more consistent with the observed streamflow and the normal difference vegetation index than that of SPEITW, and the SPEI2S even showed higher agreements than the SPEIPM. The 2S PET model considers radiation balances at the canopy level and soil surface separately, which helps this model more accurately estimate the PET in regions with sparse vegetation. The PM equation is a more physically based PET estimation method than the TW equation, which takes the other variables that effect atmospheric water demand into account. Therefore, the 2S PET model (first) and the PM equation (second) are recommended in calculating the SPEI over regions with large area of sparse vegetation cover, as a result of better physical mechanism and higher correlations with different types of observations. Copyright (C) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:783 / 793
页数:11
相关论文
共 50 条
  • [1] Standardized precipitation-evapotranspiration index (SPEI): Sensitivity to potential evapotranspiration model and parameters
    Stagge, James H.
    Tallaksen, Lena M.
    Xu, Chong-Yu
    Van Lanen, Henny A. J.
    HYDROLOGY IN A CHANGING WORLD: ENVIRONMENTAL AND HUMAN DIMENSIONS, 2014, 363 : 367 - 373
  • [2] Assessing the sensitivity of standardized precipitation evapotranspiration index to three potential evapotranspiration models in Nigeria
    Ogunrinde, Akinwale T.
    Olasehinde, David A.
    Olotu, Yahaya
    SCIENTIFIC AFRICAN, 2020, 8
  • [3] A Drought Index: The Standardized Precipitation Evapotranspiration Irrigation Index
    He, Liupeng
    Tong, Liang
    Zhou, Zhaoqiang
    Gao, Tianao
    Ding, Yanan
    Ding, Yibo
    Zhao, Yiyang
    Fan, Wei
    WATER, 2022, 14 (13)
  • [4] A drought index: The standardized precipitation evapotranspiration runoff index
    Wang, Long
    Yu, Hang
    Yang, Maoling
    Yang, Rui
    Gao, Rui
    Wang, Ying
    JOURNAL OF HYDROLOGY, 2019, 571 : 651 - 668
  • [5] Drought monitoring in Croatia using the standardized precipitation-evapotranspiration index
    Loncar-Petrinjak, Ivan
    Pasaric, Zoran
    Kalin, Ksenija Cindric
    GEOFIZIKA, 2024, 41 (01) : 1 - 23
  • [6] Modification of the standardized precipitation evapotranspiration index for drought evaluation
    Ma, Mingwei
    Ren, Liliang
    Ma, He
    Jiang, Shanhu
    Yuan, Fei
    Liu, Yi
    Yang, Xiaoli
    CLIMATE AND LAND SURFACE CHANGES IN HYDROLOGY, 2013, 359 : 302 - 308
  • [7] Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring
    Begueria, Santiago
    Vicente-Serrano, Sergio M.
    Reig, Fergus
    Latorre, Borja
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014, 34 (10) : 3001 - 3023
  • [8] Influence of the accuracy of reference crop evapotranspiration on drought monitoring using standardized precipitation evapotranspiration index in mainland China
    Yao, Ning
    Li, Yi
    Dong, Qin'ge
    Li, Linchao
    Peng, Lingling
    Feng, Hao
    LAND DEGRADATION & DEVELOPMENT, 2020, 31 (02) : 266 - 282
  • [9] Drought monitoring based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index in the arid zone of Balochistan province, Pakistan
    Qaisrani Z.N.
    Nuthammachot N.
    Techato K.
    Asadullah
    Arabian Journal of Geosciences, 2021, 14 (1)
  • [10] Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model
    Li, Changlong
    Li, Zengyuan
    Gao, Zhihai
    Sun, Bin
    REMOTE SENSING, 2021, 13 (07)