Spatial monitoring of meteorological drought characteristics based on the NASA POWER precipitation product over various regions of Iran

被引:18
|
作者
Kheyruri, Yusef [1 ]
Nikaein, Ehsan [1 ]
Sharafati, Ahmad [1 ]
机构
[1] Islamic Azad Univ, Dept Civil Engn, Sci & Res Branch, Tehran, Iran
关键词
Drought characteristics; Meteorological drought; NASA POWER; Spatial monitoring; SATELLITE-OBSERVATIONS; FREQUENCY-ANALYSIS; INDEX; PREDICTION; SEVERITY; PROVINCE; DATASET; WATER;
D O I
10.1007/s11356-023-25283-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought directly impacts the human economy and society, so a proper understanding of its spatiotemporal characteristics in different time scales and return periods can be effective in its evaluation and risk warning. In this research, the spatiotemporal variation of drought characteristics in 70 investigated stations in Iran during 1981-2020 was examined, evaluated, and compared. The Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) have been used on time scales of 1, 3, 6, 9, 12, and 24 months to calculate the meteorological drought. Drought characteristics have been calculated through the run theory method, and the correlation between these characteristics has been checked. Statistical distribution functions have been used to calculate drought characteristics for the 10-, 20-, 50-, and 100-year return periods. Results show that the duration, severity, and peak of the drought in rainy areas increase as the return period increases. The drought features obtained from the SPI and SPEI show that the average value of severity obtained based on the SPI (43.5) is higher than that of the SPEI (40.9) while the average values of the peak are 3.9 and 2.6 for SPI and SPEI, respectively. Extreme drought was identified in 1990 in all regions of Iran. The highest severity in the current study is from 1999 to 2003. At the end of this period, Iran faced wet years. These results are evident on all time scales. The results obtained in this study can identify drought-prone regions and the beneficial use of water resources in the region.
引用
收藏
页码:43619 / 43640
页数:22
相关论文
共 50 条
  • [41] Assessment of global warming in Al Buraimi, sultanate of Oman based on statistical analysis of NASA POWER data over 39 years, and testing the reliability of NASA POWER against meteorological measurements
    Marzouk, Osama A.
    HELIYON, 2021, 7 (03)
  • [42] Monitoring and Analysis of Drought Characteristics Based on Climate Change in Burundi Using Standardized Precipitation Evapotranspiration Index
    Ndayiragije, Jean Marie
    Li, Fan
    WATER, 2022, 14 (16)
  • [43] Conditional Copula-Based Spatial-Temporal Drought Characteristics Analysis-A Case Study over Turkey
    Afshar, Mahdi Hesami
    Sorman, Ali Unal
    Yilmaz, Mustafa Tugrul
    WATER, 2016, 8 (10)
  • [44] Prediction of Multi-Scale Meteorological Drought Characteristics over the Yangtze River Basin Based on CMIP6
    Yu, Jiaxin
    Zhou, Han
    Huang, Jiejun
    Yuan, Yanbin
    WATER, 2022, 14 (19)
  • [45] Detecting drought events over Iran during 1983-2017 using satellite and ground-based precipitation observations
    Kazemzadeh, Majid
    Noori, Zahra
    Alipour, Hassan
    Jamali, Sadegh
    Akbari, Javad
    Ghorbanian, Arsalan
    Duan, Zheng
    ATMOSPHERIC RESEARCH, 2022, 269
  • [46] Regional aspects of future precipitation and meteorological drought characteristics over Southern South America projected by a CMIP5 multi-model ensemble
    Clorinda Penalba, Olga
    Antonio Rivera, Juan
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2016, 36 (02) : 974 - 986
  • [47] Spatiotemporal characteristics of drought in a semi-arid grassland over the past 56 years based on the Standardized Precipitation Index
    Li, Wei
    Duan, Limin
    Wang, Wenjun
    Wu, Yingjie
    Liu, Tingxi
    Quan, Qiang
    Chen, Xiaojun
    Yin, Hang
    Zhou, Quancheng
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2021, 133 (01) : 41 - 54
  • [48] Evaluation of Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA v7) in drought monitoring over southwest Iran
    Montazeri, Majid
    Kiany, Mohammad Sadegh Keikhosravi
    Masoodian, Seyed Abolfazl
    CLIMATE RESEARCH, 2020, 82 : 55 - 73
  • [49] Spatial evaluation of climate change-induced drought characteristics in different climates based on De Martonne Aridity Index in Iran
    Jafarpour, Mohammad
    Adib, Arash
    Lotfirad, Morteza
    Kisi, Ozgur
    APPLIED WATER SCIENCE, 2023, 13 (06)
  • [50] Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China
    Wei, Linyong
    Jiang, Shanhu
    Ren, Liliang
    Yuan, Fei
    Zhang, Linqi
    SUSTAINABILITY, 2019, 11 (18)