An approach to characterise spatio-temporal drought dynamics

被引:62
|
作者
Diaz, Vitali [1 ,2 ]
Perez, Gerald A. Corzo [1 ]
Van Lanen, Henny A. J. [3 ]
Solomatine, Dimitri [1 ,2 ,4 ]
Varouchakis, Emmanouil A. [5 ]
机构
[1] IHE Delft Inst Water Educ, Hydroinformat Chair Grp, NL-2601 DA Delft, Netherlands
[2] Delft Univ Technol, Water Resources Sect, Delft, Netherlands
[3] Wageningen Univ, Hydrol & Quantitat Water Management Grp, Wageningen, Netherlands
[4] Russian Acad Sci, Water Problems Inst, Moscow, Russia
[5] Tech Univ Crete, Sch Environm Engn, Khania, Greece
基金
俄罗斯科学基金会; 欧盟地平线“2020”;
关键词
Spatio-temporal drought analysis; Drought tracking; Drought dynamics; Drought monitoring; Drought characterisation; 2ND-HALF; MODELS;
D O I
10.1016/j.advwatres.2020.103512
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The spatiotemporal monitoring of droughts is a complex task. In the past decades, drought monitoring has been increasingly developed, while the consideration of its spatio-temporal dynamics is still a challenge. This study proposes a method to build the spatial tracks and paths of drought, which can enhance its monitoring. The steps for the drought tracks calculation are (1) identification of spatial units (areas), (2) centroids localisation, and (3) centroids linkage. The spatio-temporal analysis performed here to extract the areas and centroids builds upon the Contiguous Drought Area (CDA) analysis. The potential of the proposed methodology is illustrated using grid data from the Standardized Precipitation Evaporation Index (SPEI) Global Drought Monitor over India (1901-2013), as an example. The method to calculate the drought tracks allows for identification of drought paths delineated by an onset and an end in space and time. Tracks, severity and duration of the drought are identified, as well as localisation (onset and end position), and rotation. The response of the drought tracking method to different combinations of parameters is also analysed.
引用
收藏
页数:21
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