Extreme Drought Assessment in Sumatra-Indonesia Using SPI and EDI

Q2 Pharmacology, Toxicology and Pharmaceutics Science and Technology Indonesia Pub Date : 2023-10-01 DOI:10.26554/sti.2023.8.4.691-700
Suhadi Suhadi, Iskhaq Iskandar, Supari Supari, Muhammad Irfan, Hamdi Akhsan
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Abstract

Even though Sumatra is very vulnerable to the effects of drought, research identifying drought on this island is very limited, especially extreme drought. This research was conducted to identify extreme drought in Sumatra using the Standardized Precipitation Index (SPI) and the Effective Drought Index (EDI). This study uses precipitation data from the Indonesian Meteorology, Climatology and Geophysics Agency (BMKG) and Global Precipitation Climatology Center (GPCC) reanalysis data. The composite indices were conducted to discover some phenomena that cause the drought based on El Niño and positive Indian Ocean Dipole (IOD) events. The results showed that the El Niño and positive IOD phenomena were more likely to influence extreme droughts. However, the droughts in 2014 and 2008 tended to be influenced by the negative Sea Surface Temperature anomaly (SSTA). The spatial analysis results show that the areas that experience extreme drought more often are the west coast of Sumatra (except Aceh province), especially based on SPI12 and EDI. The composite indices results show that the drought that occurred in Aceh province was more influenced by the El Niño phenomenon in the December-January-February (DJF) period and the positive IOD in the June-July-August (JJA) – September-October-November (SON) period. In addition, Aceh province is an area that is not affected by El Niño-positive IOD, especially during the SON-DJF period. These results can be used to mitigate drought, especially when El Niño-positive IOD phenomena cause it.
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基于SPI和EDI的苏门答腊-印度尼西亚极端干旱评估
尽管苏门答腊岛非常容易受到干旱的影响,但对该岛干旱的研究非常有限,尤其是极端干旱。利用标准化降水指数(SPI)和有效干旱指数(EDI)对苏门答腊岛极端干旱进行了识别。本研究利用印度尼西亚气象、气候和地球物理局(BMKG)和全球降水气候学中心(GPCC)的降水再分析数据。利用El Niño和印度洋正偶极子(IOD)事件的综合指数发现了引起干旱的一些现象。结果表明,El Niño和正IOD现象更有可能影响极端干旱。然而,2014年和2008年的干旱倾向于受负海温距平的影响。基于SPI12和EDI的空间分析结果表明,极端干旱发生频次最高的地区为苏门答腊岛西海岸(亚齐省除外)。综合指数结果表明,亚齐省发生的干旱主要受12 - 1 - 2月(DJF)期El Niño现象和6 - 7 - 8月(JJA) - 9 - 10 - 11月(SON)期正IOD的影响。此外,亚齐省是一个不受Niño-positive IOD影响的地区,特别是在SON-DJF期间。这些结果可用于缓解干旱,特别是当El Niño-positive IOD现象引起干旱时。
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来源期刊
Science and Technology Indonesia
Science and Technology Indonesia Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
72
审稿时长
8 weeks
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