Linkage of agricultural drought with meteorological drought in different climates of Iran

被引:36
|
作者
Manesh, Maliheh Behrang [1 ]
Khosravi, Hassan [1 ]
Alamdarloo, Esmail Heydari [1 ]
Alekasir, Mahnaz Saadi [1 ]
Gholami, Ahmad [2 ]
Singh, Vijay P. [3 ,4 ]
机构
[1] Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Tehran, Iran
[2] Kharazmi Univ, Fac Chem, Dept Organ & Polymer Chem, Tehran, Iran
[3] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA
[4] Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX USA
关键词
VEGETATION HEALTH; INDEX; PRODUCTIVITY; TEMPERATURE; PREDICTION; RESPONSES; SEVERITY; DYNAMICS; BASIN; RDI;
D O I
10.1007/s00704-019-02878-w
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study investigates the linkage between agricultural drought and meteorological drought, using normalization different vegetation index (NDVI) and land surface temperature (LST) for the whole of Iran in four periods of 16 days of late March, April, May, and June between 2000 and 2017. LST and NDVI were obtained from the production of MODIS MOD13A2 and MOD11A2. In the next step, the basic time synchronization of LST and NDVI was performed by the mean of two 8-day LST images and their conversion to 16-day LST for each year. The vegetation health index (VHI) was calculated from the combination of temperature condition index (TCI) and vegetation condition index (VCI). Then, Iran's map of standardized precipitation-evapotranspiration index (SPEI) was calculated on a 12-month timescale for 68 meteorological stations with the inverse distance weighted (IDW) method. By using ArcGIS 10.5, the Pearson correlation coefficient and the slope of linear regression were calculated between 12-month SPEI and VHI for all four periods in different climates: hyper dry, dry, semi-dry, semi-humid, and humid. Results showed that the correlation increased when the temperature increased. This increase occurred in dry and hyper-dry climates. As the temperature rose, the slope of the linear regression for 12-month standardized precipitation-evapotranspiration index (SPEI) on vegetation health index (VHI) increased. The highest and lowest average effects of the slope were observed in dry and climatic class, respectively. With increasing temperature, the need for water in plants will increase. Hence, there is a direct relation or a positive correlation between temperature and correlation strength and slope effect. Therefore, plants more seriously will face drought stress during the drought period, and this drought stress has a positive correlation with drought intensity. From this study, it was concluded that the highest correlation and the highest slope effect between the 12-month SPEI and VHI happened in the dry climatic class in June.
引用
收藏
页码:1025 / 1033
页数:9
相关论文
共 50 条
  • [21] Drought dynamics in California and Mississippi: A wavelet analysis of meteorological to agricultural drought transition
    Gu, Xiufen
    Jamshidi, Sajad
    Gu, Lailei
    Nadi, Sina
    Wang, Diane
    Cammarano, Davide
    Sun, Hongguang
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 370
  • [22] Association and driving factors of meteorological drought and agricultural drought in Ningxia, Northwest China
    Yang, Peng
    Zhai, Xiaoyan
    Huang, Heqing
    Zhang, Yongyong
    Zhu, Yanchao
    Shi, Xiaorui
    Zhou, Libo
    Fu, Cai
    ATMOSPHERIC RESEARCH, 2023, 289
  • [23] Drought Dynamics in the Nile River Basin: Meteorological, Agricultural, and Groundwater Drought Propagation
    Nigatu, Zemede M.
    You, Wei
    Melesse, Assefa M.
    REMOTE SENSING, 2024, 16 (05)
  • [24] Dynamic variation of meteorological drought and its relationships with agricultural drought across China
    Wang, Fei
    Lai, Hexin
    Li, Yanbin
    Feng, Kai
    Zhang, Zezhong
    Tian, Qingqing
    Zhu, Xiaomeng
    Yang, Haibo
    AGRICULTURAL WATER MANAGEMENT, 2022, 261
  • [25] Spatial assessment of meteorological drought features over different climate regions in Iran
    Sharafati, Ahmad
    Nabaei, Sina
    Shahid, Shamsuddin
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (03) : 1864 - 1884
  • [26] Dynamic Variations of Agricultural Drought and Its Response to Meteorological Drought: A Drought Event-Based Perspective
    Wang, Fei
    Lai, Hexin
    Men, Ruyi
    Wang, Zipeng
    Li, Yanbin
    Qu, Yanping
    Feng, Kai
    Guo, Wenxian
    Jiang, Yunzhong
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (12)
  • [27] Three-dimensional linkage between meteorological drought and vegetation drought across China
    Weng, Zhen
    Niu, Jun
    Guan, Huade
    Kang, Shaozhong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 859
  • [28] Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China
    Ding, Yibo
    Gong, Xinglong
    Xing, Zhenxiang
    Cai, Huanjie
    Zhou, Zhaoqiang
    Zhang, Doudou
    Sun, Peng
    Shi, Haiyun
    AGRICULTURAL WATER MANAGEMENT, 2021, 255 (255)
  • [29] Propagation and dynamic change of meteorological drought to hydrological drought in different seasons
    Liu Y.
    Huang S.
    Fang W.
    Ma L.
    Zheng X.
    Huang Q.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2021, 52 (01): : 93 - 102
  • [30] Comparison of seven meteorological indices for drought monitoring in Iran
    Morid, S
    Smakhtin, V
    Moghaddasi, M
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2006, 26 (07) : 971 - 985