Analysis of Rainfall Characteristics using Hydrognomon v.4.0 in Karangploso, Malang

Rainfall is hydrology event that occurred seasonal in every year. There are two seasons occurred in Indonesia, dry season and rainy season. The analysis of rainfall characteristics plays a significant role to predict the rainfall occurrence and probability of flash flood. In this paper, rainfall analysis using Hydrognomon v.4.0 will provide hydrology data information, such as rainfall intensity and time series. The highest maximum rainfall of 526 mm (in 2010) has a return period of about 11 years. This means that rainfall of this magnitude can be expected to occur once every 11 years. The maximum rainfall of 425 mm (2013) has a return period of about 5.5 years, indicating a more frequent occurrence than the highest rainfall. Thus, it makes data trend rainfall with higher values tends to have longer return periods, indicating infrequent intensity. However, rainfall with lower intensity tends to have shorter return periods and occurring more frequently.

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Journal
⁠International Journal of Sustainable Social Culture Science Technology Management and Law Humanities
Published
2024-12-20
DOI
https://doi.org/10.71131/887gae84
Primary Topic
Data Mining and Machine Learning Applications
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article
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article

Analysis of Rainfall Characteristics using Hydrognomon v.4.0 in Karangploso, Malang

Mahmud Mahmud, Indri Triawati, Atif Muhammad Ali, Retno Palupi et al.
⁠International Journal of Sustainable Social Culture Science Technology Management and Law Humanities
Data Mining and Machine Learning Applications
article

Analysis of Rainfall Characteristics using Hydrognomon v.4.0 in Karangploso, Malang

Mahmud Mahmud, Indri Triawati, Atif Muhammad Ali, Retno Palupi, Hendrik Richard, Agung Hariadi, Raditya Pratama, Novan Habiburrahman
article en

Abstract

Rainfall is hydrology event that occurred seasonal in every year. There are two seasons occurred in Indonesia, dry season and rainy season. The analysis of rainfall characteristics plays a significant role to predict the rainfall occurrence and probability of flash flood. In this paper, rainfall analysis using Hydrognomon v.4.0 will provide hydrology data information, such as rainfall intensity and time series. The highest maximum rainfall of 526 mm (in 2010) has a return period of about 11 years. This means that rainfall of this magnitude can be expected to occur once every 11 years. The maximum rainfall of 425 mm (2013) has a return period of about 5.5 years, indicating a more frequent occurrence than the highest rainfall. Thus, it makes data trend rainfall with higher values tends to have longer return periods, indicating infrequent intensity. However, rainfall with lower intensity tends to have shorter return periods and occurring more frequently.

⁠International Journal of Sustainable Social Culture Science Technology Management and Law HumanitiesVol. 1(2)
Hohai University (CN)
Openalex Percentile: Top 60%
Data Mining and Machine Learning Applications
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Analysis of Rainfall Characteristics using Hydrognomon v.4.0 in Karangploso, Malang — Mahmud Mahmud, Indri Triawati, et al. · ⁠International Journal of Sustainable Social Culture Science Technology Management and Law Humanities (2024) | TGRS Research Map | TGRS