Spatiotemporal Patterns of Agricultural Drought in Sri Lanka: 1881-2010

被引:36
|
作者
Gunda, Thushara [1 ]
Hornberger, George M. [1 ,2 ]
Gilligan, Jonathan M. [2 ]
机构
[1] Vanderbilt Univ, Vanderbilt Inst Energy & Environm, Dept Civil & Environm Engn, PMB 407702,2301 Vanderbilt Pl, Nashville, TN 37240 USA
[2] Vanderbilt Univ, Vanderbilt Inst Energy & Environm, Dept Earth & Environm Sci, Nashville, TN 37240 USA
基金
美国国家科学基金会;
关键词
Sri Lanka; drought; PDSI; SPI; PCA; wavelets; SOUTHERN-OSCILLATION PHENOMENON; SEVERITY INDEX; RAINFALL VARIATIONS; ANOMALIES; SENSITIVITY; TREND; ENSO;
D O I
10.1002/joc.4365
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A spatiotemporal analysis of two well-known agricultural drought indices, the Palmer Drought Severity Index (PDSI) and the Standardized Precipitation Index at a 9-month scale (SPI-9), is presented for Sri Lanka. The analysis was conducted based on monthly precipitation and temperature data from January 1881 to December 2010 using 13 stations distributed across the three climatic zones of the country. Principal component analysis shows that the first two principal components of PDSI and SPI-9 are spatially comparable and could physically represent the two main monsoons. A wavelet analysis of these principal components' scores for both indices indicates a stronger association between the Northeastern monsoon and El-Nino in recent decades. Correlation analysis with agricultural metrics suggests that different indices might be appropriate for each of the climatic zones in Sri Lanka. PDSI correlated best with the intermediate zone districts; SPI-9 correlated best with the dry zone districts; but neither index correlated well with the wet zone districts.
引用
收藏
页码:563 / 575
页数:13
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