Copula-based Joint Drought Index using SPI and EDDI and its application to climate change

被引:102
|
作者
Won, Jeongeun [1 ]
Choi, Jeonghyeon [1 ]
Lee, Okjeong [2 ]
Kim, Sangdan [2 ]
机构
[1] Pukyong Natl Univ, Div Earth Environm Syst Sci, Major Environm Engn, Busan 48513, South Korea
[2] Pukyong Natl Univ, Dept Environm Engn, Busan 48513, South Korea
基金
新加坡国家研究基金会;
关键词
Climate change; Copula-based joint drought index; Partial duration series; Drought severity-duration-frequency curve; FREQUENCY-ANALYSIS; MULTIMODEL ASSESSMENT; FUTURE DROUGHT; SEVERITY; DURATION; EVAPOTRANSPIRATION; EVOLUTION; IMPACTS; CHINA; CO2;
D O I
10.1016/j.scitotenv.2020.140701
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The drought index, which mainly focuses on the moisture supply side of the atmosphere, which has been mainly used in the field of drought monitoring, has limitations that cannot reflect drought caused by changes in various climate variables such as an increase in surface air temperature due to global warming. To overcome these limitations, various evaporation demand-based drought indices have been proposed, focusing on the aspect of atmospheric moisture demand. However, drought indices that consider only precipitation or the demand for atmospheric evaporation are difficult to comprehensively interpret drought caused by various climatic factors. The novelty of this study is to propose a new drought index to simultaneously monitor droughts occurring in terms of atmospheric moisture supply and demand. The proposed Copula-based Joint Drought Index (CJDI) combines the Standardized Precipitation Index and the Evaporative Demand Drought Index using copula. Since CJDI reflects the correlation between the two drought indices, it is shown that CIDI can better monitor Korea's past droughts than other drought indices. It is found that quantification of past drought using CJDI can be used to objectively recognize the level of drought currently in progress by combining with drought severity-duration-frequency curves derived from partial duration series. As a result of analyzing the future drought pattern in Korea, it was revealed that the drought would be alleviated by about 11% in the case of SPI and SPEI, but the drought would intensify by about 89% in the case of EDDI. In the case of CJDI, it is projected that the drought is likely to intensify to about 17%. From the perspective of better reproducing past droughts and projecting a more convincing future drought than other drought indices, CJDI is expected to be fully utilized as a drought index to monitor droughts and establish climate change adaptation policies. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Copula-Based Joint Drought Index Using Precipitation, NDVI, and Runoff and Its Application in the Yangtze River Basin, China
    Wei, Hongfei
    Liu, Xiuguo
    Hua, Weihua
    Zhang, Wei
    Ji, Chenjia
    Han, Songjie
    REMOTE SENSING, 2023, 15 (18)
  • [2] Future drought analysis using SPI and EDDI to consider climate change in South Korea
    Won, Jeongeun
    Kim, Sangdan
    WATER SUPPLY, 2020, 20 (08) : 3266 - 3280
  • [3] Drought severity index analysis using the copula-based joint deficit index in greater Himalayas of India
    Parvaze, Sabah
    Kumar, Rohitashw
    Mirabbasi, Rasoul
    Allaie, Saqib Parvaze
    THEORETICAL AND APPLIED CLIMATOLOGY, 2025, 156 (04)
  • [4] Compound ecological drought assessment of China using a Copula-based drought index
    Zhao, Qianzuo
    Zhang, Xuan
    Li, Chong
    Xu, Yang
    Fei, Junyuan
    ECOLOGICAL INDICATORS, 2024, 164
  • [5] A copula-based joint deficit index for droughts
    Kao, Shih-Chieh
    Govindaraju, Rao S.
    JOURNAL OF HYDROLOGY, 2010, 380 (1-2) : 121 - 134
  • [6] A copula-based joint meteorological–hydrological drought index in a humid region (Kasilian basin, North Iran)
    Majid Cheraghalizadeh
    Arezoo N. Ghameshlou
    Javad Bazrafshan
    Ommolbanin Bazrafshan
    Arabian Journal of Geosciences, 2018, 11
  • [7] Evaluating Future Joint Probability of Precipitation Extremes with a Copula-Based Assessing Approach in Climate Change
    Jhong, Bing-Chen
    Tung, Ching-Pin
    WATER RESOURCES MANAGEMENT, 2018, 32 (13) : 4253 - 4274
  • [8] Evaluating Future Joint Probability of Precipitation Extremes with a Copula-Based Assessing Approach in Climate Change
    Bing-Chen Jhong
    Ching-Pin Tung
    Water Resources Management, 2018, 32 : 4253 - 4274
  • [9] Comparison of Empirical Copula-Based Joint Deficit Index (JDI) and Multivariate Standardized Precipitation Index (MSPI) for Drought Monitoring in Iran
    Javad Bazrafshan
    Mehdi Nadi
    Khalil Ghorbani
    Water Resources Management, 2015, 29 : 2027 - 2044
  • [10] A copula-based joint meteorological-hydrological drought index in a humid region (Kasilian basin, North Iran)
    Cheraghalizadeh, Majid
    Ghameshlou, Arezoo N.
    Bazrafshan, Javad
    Bazrafshan, Ommolbanin
    ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (12)