IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
Indonesia has a tropical climate and geographical location that makes the region vulnerable to extreme precipitation that can trigger hydrometeorological disasters such as floods. Information on extreme precipitation patterns is essential for flood early warning, infrastructure planning and disas...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/82388 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia has a tropical climate and geographical location that makes the region
vulnerable to extreme precipitation that can trigger hydrometeorological disasters
such as floods. Information on extreme precipitation patterns is essential for flood
early warning, infrastructure planning and disaster management. Therefore, this
study aims to identify changes in Indonesia's extreme precipitation frequency
patterns in the future.
The research method includes the calculation of extreme precipitation with a return
period of 2 years using the Generalized Extreme Value (GEV) type I distribution,
calculation of extreme precipitation frequency, grouping regions based on extreme
precipitation frequency patterns using the clustering method, and identification of
changes in extreme precipitation patterns. The data used is a climate model sourced
from the Coupled Model Intercomparison Project 6 (CMIP6).
The results of this study indicate that there are changes in extreme precipitation
patterns in Indonesia with changes in the area of each type. The majority of the
largest changes occur in the far-future period with the SSP2-4.5 scenario. There is
also a significant change in the mean annual cycle of extreme precipitation
frequency, with the highest change in the far-future period using the SSP5-8.5
scenario. Type A experienced a decrease in area of 16.6%. Meanwhile, Type B
experienced an increase in area of 15%. Then, Type C also experienced an increase
in area of 1.6%. The change in the average annual cycle of extreme precipitation
frequency is smallest for Type C (2.3 days), followed by Type A (3.2 days) and Type
B (4.0 days). |
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