Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method
Automatic Rainfall Recorder (ARR) has not been widely available in Indonesia, so data of rainfall is available in the form of daily rainfall. To know the pattern of rainfall distribution in a watershed, there are two methods, they are the observational and empirical method. the Observational Method...
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EDP Sciences
2019-01-01
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doaj-d0b077c0f40043eda4972c50289be3d12021-02-02T02:03:41ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012800500510.1051/matecconf/201928005005matecconf_icsbe2019_05005Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical MethodAnggraheni Dinia0Gustoro Dimas1Department of Civil Engineering, Faculty of Civil Engineering and Planning, Islamic University of IndonesiaDepartment of Civil Engineering, Faculty of Civil Engineering and Planning, Islamic University of IndonesiaAutomatic Rainfall Recorder (ARR) has not been widely available in Indonesia, so data of rainfall is available in the form of daily rainfall. To know the pattern of rainfall distribution in a watershed, there are two methods, they are the observational and empirical method. the Observational Method can be done if it has automatic rainfall data minimal hourly-time in a long period. Meanwhile, the empirical method will be used when data is very limited. So in this research, there were two methods to develop the rainfall distribution pattern in Progo Watershed. The data were used by the observational method is from 2013 to 2015. There were two empirical methods which are used namely Alternating Block Method (ABM) and Modified Mononobe Method. The results show that heavy rainfall in Progo watershed is dominated by 7-hourly rainfall distribution. The empirical rainfall distribution pattern that is more suitable with the observation method is Modified Mononobe method than ABM method.https://www.matec-conferences.org/articles/matecconf/pdf/2019/29/matecconf_icsbe2019_05005.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anggraheni Dinia Gustoro Dimas |
spellingShingle |
Anggraheni Dinia Gustoro Dimas Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method MATEC Web of Conferences |
author_facet |
Anggraheni Dinia Gustoro Dimas |
author_sort |
Anggraheni Dinia |
title |
Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method |
title_short |
Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method |
title_full |
Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method |
title_fullStr |
Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method |
title_full_unstemmed |
Rainfall Distribution Pattern of Progo Watershed in Observational and Empirical Method |
title_sort |
rainfall distribution pattern of progo watershed in observational and empirical method |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2019-01-01 |
description |
Automatic Rainfall Recorder (ARR) has not been widely available in Indonesia, so data of rainfall is available in the form of daily rainfall. To know the pattern of rainfall distribution in a watershed, there are two methods, they are the observational and empirical method. the Observational Method can be done if it has automatic rainfall data minimal hourly-time in a long period. Meanwhile, the empirical method will be used when data is very limited. So in this research, there were two methods to develop the rainfall distribution pattern in Progo Watershed. The data were used by the observational method is from 2013 to 2015. There were two empirical methods which are used namely Alternating Block Method (ABM) and Modified Mononobe Method. The results show that heavy rainfall in Progo watershed is dominated by 7-hourly rainfall distribution. The empirical rainfall distribution pattern that is more suitable with the observation method is Modified Mononobe method than ABM method. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2019/29/matecconf_icsbe2019_05005.pdf |
work_keys_str_mv |
AT anggrahenidinia rainfalldistributionpatternofprogowatershedinobservationalandempiricalmethod AT gustorodimas rainfalldistributionpatternofprogowatershedinobservationalandempiricalmethod |
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