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/10.1088/1742-6596/423/1/012026Additional details
Identifiers
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