Geospatial cluster analysis of the state, duration and severity of drought over Paraiba State, northeastern Brazil

被引:23
作者
Brasil Neto, Reginaldo Moura [1 ]
Guimaraes Santos, Celso Augusto [1 ]
da Silva, Richarde Marques [2 ]
Costa dos Santos, Carlos Antonio [3 ]
Liu, Zhong [4 ,5 ]
Quinn, Nevil Wyndham [6 ]
机构
[1] Univ Fed Paraiba, Dept Civil & Environm Engn, Joao Pessoa, Paraiba, Brazil
[2] Univ Fed Paraiba, Dept Geosci, Joao Pessoa, Paraiba, Brazil
[3] Univ Fed Campina Grande, Acad Unit Atmospher Sci, Campina Grande, Paraiba, Brazil
[4] George Mason Univ, Coll Sci, Ctr Spatial Informat Sci & Syst GSLSS, Fairfax, VA USA
[5] NASA Goddard Earth Sci Data & Informat Serv Ctr G, Greenbelt, MD USA
[6] Univ West England, Dept Geog & Environm Management, Bristol, Avon, England
关键词
SPI; Drought; Remote sensing; TMPA; Clusters; Semiarid region; PRECIPITATION ANALYSIS TMPA; MONTHLY RAINFALL; TEMPORAL VARIABILITY; TRMM SATELLITE; RIVER-BASIN; CHINA;
D O I
10.1016/j.scitotenv.2021.149492
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Droughts threaten water resources, agriculture, socio-economic activities and the population at the global and regional level, so identifying areas with homogeneous drought behaviors is an important consideration in improving the management of water resources. The objective of this study is to identify homogenous zones over Paraiba State in relation to the state, duration and severity of droughts that have occurred over the last 20 years (1998-2017) using hierarchical cluster analysis based on both gauge-measured and Tropical Rainfall Measuring Mission (TRMM) estimated rainfall data (TMPA 3B42). The drought series were calculated using the Standardized Precipitation Index (SPI) based on eight time scales and were grouped according to drought state, duration and severity time series. The integrated results of state, duration and severity of droughts indicate that there is a basis for dividing Paraiba State into two major regions (a) Zone I, formed by Mata Paraibana and Agreste Paraibano, and (b) Zone II, composed by Borborema and Sertao Paraibano. This division is evident when assessing short-term droughts, but in the case of long-term droughts, Paraiba State has a high similarity in terms of drought state, duration, and severity. Factors such as proximity to the ocean, active climatic systems, and the local relief configuration were identified as influencing the drought regime. Finally, it is concluded that TMPA rainfall estimates represent a valuable source of data to regionalize and identify drought patterns over this part of Brazil and that other studies of this type should be carried out to monitor these phenomena based on other satellite-based rainfall data, including the Global Precipitation Mission (GPM). (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:17
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