Evidence map›Paper›PMID 33167569›Full record

ArticleMethods and protocols2020

Sustainable Management of Organic Wastes in Sharjah, UAE through Co-Composting.

Md Maruf Mortula, Aqeel Ahmed, Kazi Parvez Fattah, Ghina Zannerni, Syed A Shah, Ahmed M Sharaby

Abstract read
In one paragraph

Article in Methods and protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Md Maruf MortulaDepartment of Civil Engineering, American University of Sharjah, Sharjah 26666, UAE.
Aqeel AhmedDepartment of Civil Engineering, American University of Sharjah, Sharjah 26666, UAE.
Kazi Parvez FattahDepartment of Civil Engineering, American University of Sharjah, Sharjah 26666, UAE.ORCID 0000-0002-9620-5910
Ghina ZannerniDepartment of Civil Engineering, American University of Sharjah, Sharjah 26666, UAE.
Syed A ShahCompost Plant, Sharjah Municipality, Sharjah 26666, UAE.
Ahmed M SharabyDepartment of Civil Engineering, American University of Sharjah, Sharjah 26666, UAE.

Funding

Gulf Ecosystems Research Center (GERC), Bee'ah. GER-14-10.
6 · The paper itself

Abstract

Daily human activities and vast green areas produce substantial amounts of organic wastes that end up in landfills with minimal treatment. In addition to the problems associated with landfills, disposal through this method is unsustainable in the long run and does not allow recovering materials from the waste. This paper focuses on the co-composting of different organic wastes produced in The Emirate of Sharjah, United Arab Emirates (UAE), to optimize mixing proportions of three different kinds of wastes-sewage sludge (SS), green waste (GW), and food waste (FW). All three organic wastes were analyzed to determine their chemical composition and the mixing proportions. Ten different mixing proportions as a function of carbon:nitrogen (C:N ratios) were determined and mixed in a NatureMill composter. Compost samples were tested for pH, salinity, conductivity, moisture content, organic matter, organic carbon, phosphorus, total nitrogen, and final C:N ratio after 6 weeks. Results indicate that a period of 5-6 weeks is sufficient for the compost to stabilize. The varying mixing proportions produced a good-quality compost (C:N up to 20:1) with high nutrient content. The study reaffirms that co-composting can be a potential sustainable organic waste management option for the United Arab Emirates.

Indexed as

co-compostingfood wastegreen wastenutrient recoveryorganic wastesewage sludgesustainable waste management

Identifiers

PMID33167569
PMCPMC7712295

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.