a mathematical model for reducing the composting time

Clicks: 276
ID: 148137
2014
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #3 of 23 articles by views in proceedings - 2017 2nd international conferences on information technology, information systems and electrical engineering, icitisee 2017

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract

The environment is still affected by the inappropriate use of organic matter waste, but a culture of recycling and reuse has been promoted in Ecuador to reduce carbon footprint. The composting, a technique to digest organic matter, which traditionally takes 16-24 weeks, is still inefficient to use. Therefore, this paper concerns the optimization of the composting process in both quality and production time. The variables studied were: type of waste (fruits and vegetables) and type of bioaccelerator (yeast and indigenous microorganisms). By using a full factorial random design 22, a quality compost was obtained in 7 weeks of processing. Quality factors as temperature, density, moisture content, pH and carbon-nitrogen ratio allowed the best conditions for composting in the San Gabriel del Baba community (Santo Domingo de los Colorados, Ecuador). As a result of this study, a mathematical surface model which explains the relationship between the temperature and the digestion time of organic matter was obtained.

Reference Key
larreategui2014enfoqutea Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Estefanía Larreategui;Carlos Banchón
Journal proceedings - 2017 2nd international conferences on information technology, information systems and electrical engineering, icitisee 2017
Year 2014
DOI
DOI not found
URL
http://ingenieria.ute.edu.ec/enfoqueute/index.php/revista/article/view/38
Keywords
digestion optimización civil engineering (general)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.