Author(s): Heri Sulistiyono; Eko Pradjoko; Syamsidik
Linked Author(s):
Keywords: Coastal wind; Climate change; Slope-correlation; Trend; Regression
Abstract: In case of inadequate or unavailable wave data in the coastal disaster risk studies, one can rely on the techniques of utilizing wind data to estimate wave. Under the consensus of climate change, it is suggested to include climate change phenomena in the study of coastal disaster risks. In this paper, the relationship between climate change variables and the historical coastal wind was studied. The wind data of Selaparang Airport station, Mataram Indonesia from 1988 to 2011 and climate change variables from IPCC data were used in this study. The slope-correlation, trend, non-stationary, and regression analyses were utilized in this study. Slope-correlation was used to understand the relationship between climate change variables and historical local wind data. The value of slope-correlation was also used to develop the regression model. Trend and non-stationary analyses were used to determine the slope and the residuals of a regression model. The case study results show that a positive trend occurred in the Selaparang wind data. The positive trend raises suspicions of a correlation between climate change and wind data. In this paper, the positive correlation between climate change phenomena and local wind data was successfully studied. It was found that the increasing average of wind by 3 knots per-100 years happens in the future.
Year: 2018