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Analysis of Rainfall Characteristics using Hydrognomon v.4.0 in Karangploso, Malang Triawati, Indri; Ali, Atif Muhammad; Palupi, Retno; Richard, Hendrik; Hariadi, Agung; Mahmud, Mahmud; Pratama, Raditya; Habiburrahman , Novan
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 1 No. 2 (2024)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/887gae84

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.
Frequency Analysis for Rainfall Design in Medan North Sumatra Indonesia Indri Triawati; Haishen Lü; Ali, Atif Muhammad; Habiburrahman, Novan; Palupi, Retno
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 2 No. 1 (2025)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/99e9b754

Abstract

Rainfall is an essential component of climatology that should be consistently analyzed over extended periods. Availability of complete rainfall data is one of the most important parts in relation to Hydrology and Water Resources. The ideal data is  that in accordance with what is needed. However, in practice, incomplete records are often encountered, this can be caused by several things, including equipment damage, employee negligence, equipment replacement, and natural disaster. This situation causes certain parts of the time series data to contain empty data, it is necessary to pay attention to the pattern of the distribution of rain and the surrounding stations. In this paper, there are three rainfall stations analyzed, these are BBMKG Region I, Sampali station, and Belawan station. Unfortunately, there are two missing rainfall data in 2001 and 2006 in Belawan station. Therefore, this paper uses the Normal Ratio Method and the Inversed Square Distance Method to complete the rainfall data and compare the two methods. From the result, there are different values from the two methods, the value is smaller using the Normal Ratio Method. It can be caused by the influence of distance factors on inversed square distance.