Comparison of reconnaissance drought index (RDI) and effective reconnaissance drought index (eRDI) to evaluate drought severity

被引:0
|
作者
Abdol Rassoul Zarei
Mohammad Mehdi Moghimi
Mehdi Bahrami
机构
[1] Fasa University,Department of Range and Watershed Management (Nature Engineering), College of Agriculture
[2] Fasa University,Department of Water Science Engineering, College of Agriculture
关键词
RDI index; Effective RDI index; Drought severity; Comparison of drought indices; Drought assessment;
D O I
暂无
中图分类号
学科分类号
摘要
Drought is one of the main natural causes of damages to the ecosystems, agricultural productions, water resources, etc. Many indices have been developed to assess drought severity. Reconnaissance Drought Index (RDI) and Effective Reconnaissance Drought Index (eRDI) are two of the newest indices in drought evaluation. These indices are based on ratio of precipitation and potential evapotranspiration. In this study meteorological data of 22 synoptic stations with different climatic conditions in Iran during 1967–2014 were used to calculate values of RDI and eRDI indices. According to the result of means comparison of RDI and eRDI values, in stations with humid condition such as Ramsar and Bandar Anzali difference of the means between RDI and eRDI indices were not significant at 5% level, but in stations with hyper arid and arid condition such as Chahbahar, Bandar Lengeh, Yazd and Zabol, difference of the means in RDI and eRDI was significant at 5% level. Therefore, it is suggested to replace RDI with eRDI in regions with hyper arid and arid conditions, but in regions with sub-humid and humid conditions because of the similarities between RDI and eRDI, RDI index (without need to calculate the effective rainfall) was used.
引用
收藏
页码:1345 / 1356
页数:11
相关论文
共 50 条
  • [41] Identification of drought and frequency analysis of drought characteristics based on palmer drought severity index model
    Zhou, Yuliang
    Liu, Li
    Zhou, Ping
    Jin, Juliang
    Li, Jianqiang
    Wu, Chengguo
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30 (23): : 174 - 184
  • [42] Drought Characterization and Trend Detection Using the Reconnaissance Drought Index for Setsoto Municipality of the Free State Province of South Africa and the Impact on Maize Yield
    Abubakar, Hadisu B.
    Newete, Solomon W.
    Scholes, Mary C.
    WATER, 2020, 12 (11) : 1 - 16
  • [43] THE PALMER DROUGHT SEVERITY INDEX - LIMITATIONS AND ASSUMPTIONS
    ALLEY, WM
    JOURNAL OF CLIMATE AND APPLIED METEOROLOGY, 1984, 23 (07): : 1100 - 1109
  • [44] Evaluation and Modifying of Multispectral Drought Severity Index
    Liu Jun
    Liang Shao-qing
    Li Yan-rong
    Qin Rong-rong
    Zhang Tao-ran
    Yang Qiang
    Du Ling-tong
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40 (11) : 3522 - 3529
  • [45] SPATIAL COMPARABILITY OF THE PALMER DROUGHT SEVERITY INDEX
    GUTTMAN, NB
    WALLIS, JR
    HOSKING, JRM
    WATER RESOURCES BULLETIN, 1992, 28 (06): : 1111 - 1119
  • [46] Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling
    Farshad Ahmadi
    Saeid Mehdizadeh
    Babak Mohammadi
    Water Resources Management, 2021, 35 : 4127 - 4147
  • [47] Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling
    Ahmadi, Farshad
    Mehdizadeh, Saeid
    Mohammadi, Babak
    WATER RESOURCES MANAGEMENT, 2021, 35 (12) : 4127 - 4147
  • [48] Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI)
    Mondol, Md Anarul Haque
    Zhu, Xuan
    Dunkerley, David
    Henley, Benjamin J.
    Agricultural Water Management, 2021, 255
  • [49] Observed meteorological drought trends in Bangladesh identified with the Effective Drought Index (EDI)
    Mondol, Md Anarul Haque
    Zhu, Xuan
    Dunkerley, David
    Henley, Benjamin J.
    AGRICULTURAL WATER MANAGEMENT, 2021, 255
  • [50] Evaluating the spatiotemporal characteristics of agricultural drought in bangladesh using effective drought index
    Kamruzzaman M.
    Hwang S.
    Cho J.
    Jang M.-W.
    Jeong H.
    Water (Switzerland), 2019, 11 (12):