Linear Regression Analysis Using Log Transformation Model for Rainfall Data in Water Resources Management Krueng Pase, Aceh, Indonesia

Abstract

Climate changes are one crucial factor that influenced water availability at one location since they affected the environmental, social, and agricultural systems. The study observed the agent factors that influenced the rainfall changes at Krueng Pasee Aceh watershed, Indonesia. The method used in this research is a linear regression with a log transformation approach on predictor variables. The data used in this study consisted of rainfall, a total of rainy days, temperature, humidity, duration of irradiation, and wind speed in the period ranging from 1992 to 2020. Results showed that the agent factors had not distributed normally. The regression model produced after log transformation had met the classical assumptions and can be used to predict the rainfall at R-quare 24.61% with an RMSE value of 57.676. From all factors studied, the wind speed should be excluded. Further study is recommended to use the nonlinear method to improve the model for rainfall prediction.

Analysis of Rainfall, Wind Speed and Streamflow Trends and Their Relationships in the Klip River Catchment, Alfred Duma Municipality, South Africa

“…Figure 3 displays the results of an analysis of average annual streamflow, wind speed and rainfall analysis. As seen in the figure, the highest average annual streamflow of 21.72 m 3 /s was recorded in 1996, the second highest of 14.88 m 3 /s in 1987, followed by 13.46 m 3 The results of the Mann-Kendall test for monthly streamflow, wind speed, and rainfall trends are shown in Table 2. As seen in the table, rainfall showed a decreasing trend between February and July months, with a significant decrease except for the February month recorded lowest decreasing value of -0.83 mm.…”

“…According to Camera et al [2], climate change could have a major impact on the availability of water in the catchment area's rivers. Ramli et al [3] stated that meteorological variables, such as rainfall, air temperature, humidity, air pressure, and wind speed, speed can be utilized to characterize climate change. Changes in rainfall, depending on its intensity, short-term or long-term rainfall can cause flooding, while long periods without rainfall can cause drought [4].…”

Spatial Analysis of Flood Vulnerability Base on Biophysics Factor the Krueng Baro Watershed in Flood Mitigation Efforts at Aceh, Indonesia

“…Changes in land use related to urban development also impact flood risk and influence on rainfall [25]. In urban areas, much of the permeable land is replaced by waterproof infrastructure such as roads and buildings, reducing its capacity to absorb rainfall and water [8] ; [26].…”

Transformation of land use and land cover and its implication to the local climate in Aceh Besar District, Aceh, Indonesia

“…It can lead to LULC changes in practices, such as shifting from water-intensive crops to more drought-resistant ones. The Krueng Aceh Watershed, as part of Aceh Besar District, is an area of water and mountains where there is an increase in temperature and changes in cropping patterns [17]. An increase in air temperature in the highlands also occurs [18].…”