The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
How to cite (IEEE):
S. Herho
"A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia," JOIV : International Journal on Informatics Visualization, vol. 6, no. 4, , pp. 862-868, Dec. 2022.
https://doi.org/10.30630/joiv.6.4.953
How to cite (APA):
Herho, S.
(2022).
A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia.
JOIV : International Journal on Informatics Visualization, 6(4), 862-868.
https://doi.org/10.30630/joiv.6.4.953
How to cite (Chicago):
Herho, Sandy.
"A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 4 (31 December 2022)
https://doi.org/10.30630/joiv.6.4.953
How to cite (Vancouver):
Herho S .
A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia.
JOIV : International Journal on Informatics Visualization [Online]. 2022 Dec;
6(4):862-868.
https://doi.org/10.30630/joiv.6.4.953
How to cite (Harvard):
Herho, S.
,2022.
A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia.
JOIV : International Journal on Informatics Visualization, [Online] 6(4), pp. 862-868.
https://doi.org/10.30630/joiv.6.4.953
How to cite (MLA8):
Herho, Sandy.
"A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia." JOIV : International Journal on Informatics Visualization [Online], 6.4 (2022): 862-868. Web. 2 Oct. 2023
, https://doi.org/10.30630/joiv.6.4.953
BibTex Citation Data :
@article{JOIV953,
author = {Sandy Herho},
title = {A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {6},
number = {4},
year = {2022},
keywords = {Hydrological extreme; change point detection; block maxima; MCMC; PELT.},
abstract = {Kali Kupang plays an important role in the life of the people of Pekalongan and its surrounding areas. However, until recently, not many hydrological studies have been carried out in this area. This study presents how Extreme Value Analysis (EVA) can predict future extreme hydrological events and how a dynamic-programming-based change point detection algorithm can detect the abrupt transition in discharge events variability. Using the annual block maxima, we can predict the upper extreme discharge probability from the generalized extreme value distribution (GEVD) that best fits the data by using the Markov Chain Monte Carlo (MCMC) algorithm as a distribution fitting method. Metropolis-Hasting (MH) algorithm with 500 walkers and 2,500 samples for each walker is used to generate random samples from the prior distribution. As a result, this discharge data can be categorized as a Gumbel distribution ( = 6.818, = 3.456, and = 0). The recurrence intervals (RI) for this discharge data can be calculated through this distribution. The changepoint location of the annual standard deviation of this discharge data in the mid-1990s is detected by using the pruned exact linear time (PELT) algorithm. Despite some shortcomings, this study can pave the way for using data-driven algorithms, along with more traditional numerical and descriptive approaches, to analyze hydrological time-series data in Indonesia. This is crucial, considering an increasing number of hydro climatological disasters in the future as a consequence of global climate change.},
issn = {2549-9904}, pages = {862--868}, doi = {10.30630/joiv.6.4.953},
url = {https://joiv.org/index.php/joiv/article/view/953}
}
Refworks Citation Data :
@article{{JOIV}{953}, author = {Herho, S.}, title = {A Univariate Extreme Value Analysis and Change Point Detection of Monthly Discharge in Kali Kupang, Central Java, Indonesia}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {6}, number = {4}, year = {2022}, doi = {10.30630/joiv.6.4.953}, url = {} }Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.