Monitoring of Drought Events in Gorontalo Regency

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Koem, S.^1 ; Rusiyah^1

Department of Earth Science and Technology, Universitas Negeri Gorontalo, Gorontalo

96128, Indonesia^1

关键词: Arcgis softwares;    Different time scale;    Drought analysis;    Drought severity;    Meteorological disasters;    Spatial analysis;    Spatial distribution map;    Standardized precipitation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012053/pdf
DOI  :  10.1088/1755-1315/98/1/012053

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Gorontalo Regency is a region vulnerable to drought. Drought is one of meteorological disaster because it tends to bring negative impact on various sectors. This study used rainfall data from 1981 to 2016 (35 years). The research employed Standardized Precipitation Index (SPI) to monitor and calculate the level of drought from the duration, intensity, and frequency in different time scales. The SPI value was calculated using the DrinC and ArcGIS software is used to create drought spatial distribution maps. The mean intensity of drought simultaneously followed the drought magnitude in Bilato station. The peak of drought in SPI-3 occurs in 1982, 2009 and 2016. In 1982, about 76.5% of the stations showed that the peak of drought events for SPI-3 in October to December. Moreover, 94% of the stations reveals that the peak of drought events for SPI-6 occur in July to December 1982. This shows that drought in 1982 was more severe than other years in the last three decades. Linear trends of drought for the period of 1981 to 2016 in most stations show an increasing trend, hence, it can be concluded that Gorontalo Regency experienced an increase in the wet period. Changes in time-scale caused the tendency for a high number of dry period frequencies. Drought spatial distribution could be used to determine the priority plans in finding the solutions due to droughts that occur in drought-vulnerable areas. Drought analysis using SPI could contribute to the decision-making in the future as an effort to minimize the impact of drought.