Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Nelitiarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Neliti
2014
Data sources: Neliti
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Aplikasi Model Mann-kendall dan Sen's (Makesens) untuk Mendeteksi Perubahan Iklim

Authors: I. Wayan Sutapa;

Aplikasi Model Mann-kendall dan Sen's (Makesens) untuk Mendeteksi Perubahan Iklim

Abstract

Various scientific studies illustrate that carbon dioxide (CO2) in the atmosphere layer that is a consequence of the result of the combustion of coal, timber, oil and gas, has increased by almost nearing 20 % since the start of the industrial revolution. Industrial area are built almost in the entire continent of the world has resulted in waste of “Greenhouse Gases (GHG) such as carbon dioxide (CO2), methane (CH4) and nitrousoksida (N2O) that caused the blanket effect. The purpose of this research was to detect the presence or absence of climate change and determine the projected climate change due to global warming. This research was conducted in the city of Palu, Central Sulawesi, using daily data and analyzed on a daily, monthly and yearly. Trend projections of climate change and changes in the method of analysis Makesens (Mann - Kendall and Sen 'S). The conclusion of this research is the change of climate in the city of Palu is characterized by slowly increasing temperature , increased precipitation and decreased evapotranspiration and the results of the calculation value of Z indicates Makesens method occurs climate trend, either positive direction (increasing) and negative (decreasing). Regression equation projected annual average temperature (as an example) is; f (year) = 0.018 (year - first year) + 26.931.

Country
Indonesia
Related Organizations
Keywords

climate change, Indonesia, Palu, Makesens

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average