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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Main Author: Putri Minanda, Safinka
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
id id-itb.:82388
spelling id-itb.:823882024-07-08T09:54:24ZIDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS Putri Minanda, Safinka Indonesia Final Project Extreme precipitation, Climate change, Clustering. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/82388 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). text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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).
format Final Project
author Putri Minanda, Safinka
spellingShingle Putri Minanda, Safinka
IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
author_facet Putri Minanda, Safinka
author_sort Putri Minanda, Safinka
title IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
title_short IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
title_full IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
title_fullStr IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
title_full_unstemmed IDENTIFICATION OF FUTURE CHANGES IN INDONESIA'S EXTREME PRECIPITATION PATTERNS
title_sort identification of future changes in indonesia's extreme precipitation patterns
url https://digilib.itb.ac.id/gdl/view/82388
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