Evidence map›Paper›PMID 34063998›Full record

ArticleMembranes2021

Study of the Ecological Footprint and Carbon Footprint in a Reverse Osmosis Sea Water Desalination Plant.

Federico Leon, Alejandro Ramos-Martin, Sebastian Ovidio Perez-Baez

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Federico LeonProcess Engineering Department, Universidad de las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain.ORCID 0000-0003-2284-8400
Alejandro Ramos-MartinProcess Engineering Department, Universidad de las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain.ORCID 0000-0001-5759-4469
Sebastian Ovidio Perez-BaezProcess Engineering Department, Universidad de las Palmas de Gran Canaria, 35001 Las Palmas de Gran Canaria, Spain.
Universidad de Las Palmas de Gran Canaria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The water situation in the Canary Islands has been a historical problem that has been sought to be solved in various ways. After years of work, efforts have focused on desalination of seawater to provide safe water mainly to citizens, agriculture, and tourism. Due to the high demand in the Islands, the Canary Islands was a pioneering place in the world in desalination issues, allowing the improvement of the techniques and materials used. There are a wide variety of technologies for desalination water, but nowadays the most used is reverse osmosis. Desalination has a negative part, the energy costs of producing desalinated water are high. To this we add the peculiarities of the electricity generation system in the Canary Islands, which generates more emissions per unit of energy produced compared to the peninsular generation system. In this study we have selected a desalination plant located on the island of Tenerife, specifically in the municipality of Granadilla de Abona, and once its technical characteristics have been known, the ecological footprint has been calculated. To do this we have had to perform some calculations such as the capacity to fix carbon dioxide per hectare in the Canary Islands, as well as the total calculation of the emissions produced in the generation of energy to feed the desalination plant.

Indexed as

carbon footprintdesalinationecological footprintreverse osmosis

Identifiers

PMID34063998
PMCPMC8224056
OpenAlexW3164235941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.