Published April 10, 2013 | Version v1
Journal article

Identification of Climate Change with Generalized Extreme Value (GEV) Distribution Approach

Creators

  • 1. Department of Statistics, Bina Nusantara University Jalan KH. Syahdan No. 9 Palmerah, Jakarta 11480 (Indonesia)

Description

Some events are difficult to avoid and gives considerable influence to humans and the environment is extreme weather and climate change. Many of the problems that require knowledge about the behavior of extreme values and one of the methods used are the Extreme Value Theory (EVT). EVT used to draw up reliable systems in a variety of conditions, so as to minimize the risk of a major disaster. There are two methods for identifying extreme value, Block Maxima with Generalized Extreme Value (GEV) distribution approach and Peaks over Threshold (POT) with Generalized Pareto Distribution (GPD) approach. This research in Indramayu with January 1961-December 2003 period, the method used is Block Maxima with GEV distribution approach. The result showed that there is no climate change in Indramayu with January 1961-December 2003 period.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/423/1/012026

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
423
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
2013 international conference on science and engineering in mathematics, chemistry and physics
Acronym
ScieTech 2012
Dates
24-25 Jan 2013
Place
Jakarta (Indonesia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44119192
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCIDENTS; CLIMATIC CHANGE; DISTRIBUTION; ENVIRONMENT; HAZARDS; HUMAN POPULATIONS; NATURAL DISASTERS; WEATHER
Descriptors DEC
POPULATIONS