Evidence map›Paper›PMID 30778936›Full record

ArticleEnvironmental science and pollution research international2019

Release characteristics of nitrogen and phosphorus from sediments formed under different supplemental water sources in Xi'an moat, China.

Pan Fan, Yi Wang, Wen-Huai Wang, Bao-Hua Chai, Xin-Xin Lu, Jing-Chan Zhao

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Article in Environmental science and pollution research international, 2019. 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
–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

3 citing papers in PubMed.

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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.

Pan FanSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Beilin District, Xi'an, Shaanxi, China.
Yi WangSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Beilin District, Xi'an, Shaanxi, China. wangyi1003@sina.com.
Wen-Huai WangSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Beilin District, Xi'an, Shaanxi, China.
Bao-Hua ChaiSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Beilin District, Xi'an, Shaanxi, China.
Xin-Xin LuSchool of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No. 13 Yanta Road, Beilin District, Xi'an, Shaanxi, China.
Jing-Chan ZhaoCollege of Chemistry & Materials Science, Northwest University, Xi'an, 710069, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endogenous release of nutrients from sediments contributes to the eutrophication of landscape water to a certain degree, which depends on the characteristics of sediments. The study explored the characteristics of nitrogen (N) and phosphorus (P) released from two different sediments, which were deposited from reclaimed water (SRW) or surface water (SSW) respectively in Xi'an moat. This paper aimed to compare the effects of nutrient release from SRW and SSW on the water quality. Results showed that the maximum increase rates reached 1.21 mg TN/(L·day) and 0.11 mg TP/(L·day), respectively, in the overlying water of SRW, which were 1.6 and 2.8 times those of SSW. The released amounts of SRW were 0.192 mg TN/g and 0.038 mg TP/g, which were 4.1 and 12.7 times those of SSW. Meanwhile, the densities of benthic algae in SRW and SSW were 5.605 × 10

Indexed as

Water QualityChinaEutrophicationFresh WaterGeologic SedimentsNitrogenOxygenPhosphorusWater Pollutants, ChemicalNitrogenOxygenPhosphorusWater Pollutants, ChemicalBenthic algaeEndogenous pollutionLandscape waterNutrient releaseReclaimed waterSediment

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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.