Evidence map›Paper›PMID 35112245›Full record

ArticleEnvironmental science and pollution research international2022

Changes in physico-chemical composition of wastewater by growing Phragmites australis and Typha latifolia in an arid environment in Saudi Arabia.

Abdulaziz S Alquwaizany, Ghulam Hussain, Abdullah I Al-Zarah

Abstract read
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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Abdulaziz S AlquwaizanyEnergy and Water Research Institute, King Abdulaziz City for Science and Technology (KACST), P. O. Box 6086, Riyadh, 11442, Kingdom of Saudi Arabia. aquwaizany@kacst.edu.sa.
Ghulam HussainEnergy and Water Research Institute, King Abdulaziz City for Science and Technology (KACST), P. O. Box 6086, Riyadh, 11442, Kingdom of Saudi Arabia.
Abdullah I Al-ZarahEnergy and Water Research Institute, King Abdulaziz City for Science and Technology (KACST), P. O. Box 6086, Riyadh, 11442, Kingdom of Saudi Arabia.
King Abdulaziz City for Science and Technology · SA

Funding

King Abdulaziz City for Science and Technology 31-499
6 · The paper itself

Abstract

The Kingdom of Saudi Arabia is facing an acute shortage of high-quality water, which is further aggravated due to inadequate and nonrenewable groundwater resources. Hence, it is crucial to explore other alternatives, such as natural wastewater treatment (phytoremediation), for water supplies that can both lower the dependence on groundwater resources and overcome the challenges and limitations associated with conventional wastewater treatment technologies. Therefore, the main objective of this research was to study the performance and efficiency of green plants such as Typha latifolia L. (T. latifolia) (broadleaf cattail) and Phragmites australis (Cav.) Train, ex Steud. (P. australis) (common reed) for wastewater treatment in eastern Saudi Arabia. The experiment was conducted in fiberglass tanks (each with a capacity of 4.0 × 7.0 × 0.5 m

Indexed as

TyphaceaeWater PollutantsBiodegradation, EnvironmentalOrganic ChemicalsPlantsPoaceaeSaudi ArabiaWastewaterWetlandsOrganic ChemicalsWastewaterWater PollutantsConstructed wetlandsMacrophytesNatural treatment systemPhragmites australisPhytoremediationPollutant removalTypha latifoliaWastewater treatment

Identifiers

PMID35112245
OpenAlexW4210784758

What OpenQuestion holds

Textmetadata
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.