Abstract
Floods and drought are two events that can have a negative impact on human survival. In addition, the impact of these two events can also affect agriculture, fisheries, tourism, housing, transportation and others. Trend analysis is an analysis that can be used to identify extreme rainfall events such as floods and drought. The results of the trend analysis can be useful for water resource planning and management. Therefore, the aim of this study is to obtain an overview of the annual maximum precipitation trend in Gowa Regency. The study uses the daily precipitation data from the Sungguminasa and Bonto Sallang Stations of Gowa Regency for 31 years (1988 – 2018). The data was obtained from the Water Resources, Human Settlements, Spatial Planning and Development Office of South Sulawesi Province. The method used is the Mann-Kendall test, Theil-Sen approach, and innovative trend analysis. The results of a lag-one serial correlation test found that all stations are serially independent. Based on the MK method that both stations show negative trend, but significant only at Sungguminasa station at the 95% confidence level. The results of the ITA method show that all stations are significant negative trends at the 95% level. One of advantages of the ITA method is the ability to detect the significant hidden trends in time series.
Highlights
Monitoring and handling of extreme rainfall events, such as floods and droughts, are still a major concern for researchers and managers of water sources
The aim of this study is to obtain an overview of the annual maximum precipitation trend in Gowa Regency
The results of a lag-one serial correlation test found that all stations are serially independent
Summary
Monitoring and handling of extreme rainfall events, such as floods and droughts, are still a major concern for researchers and managers of water sources. Because the negative impact of these extreme climate events can affect the community, water sources, ecosystems and the economy of a region [1]. Precipitation as a climate variable is a major component of the water cycle and its variability is related to flooding and drought. Analyzing long-term trends and rainfall variability is essential for the sustainable management of water sources. The study of precipitation trends has enormous benefits for researchers to describe the spatial and temporal variability [2]. The results of trend analysis are important in assessing the impact of climate change on water resources management and planning [3]. Several methods have been developed to analyze trends for rainfall time series data such as regression analysis, the Mann-Kendall (MK) test, and the Theil-Sein approach (TSA) [4],[5],[6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
