Evidence map›Paper›PMID 38910171›Full record

ArticleScientific reports2024

Evaluation of agricultural non-point source pollution using an in-situ and automated photochemical flow analysis system.

Yongqi Chen, Muhammad Awais, Junfeng Wu, Zhenfeng Li, Syed Muhammad Zaigham Abbas Naqvi, Mukhtar Iderawumi Abdulraheem, Hao Zhang, Ling Wang, Wei Zhang, Vijaya Raghavan and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

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

11 authors.

Yongqi ChenDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Muhammad AwaisDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Junfeng WuDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Zhenfeng LiDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Syed Muhammad Zaigham Abbas NaqviDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Mukhtar Iderawumi AbdulraheemDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Hao ZhangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Ling WangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Wei ZhangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
Vijaya RaghavanDepartment of Bioresource Engineering, Faculty of Agriculture and Environmental Studies, McGill University, Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada.
Jiandong HuDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China. jdhu@henau.edu.cn.

Funding

Henan Center for Outstanding Overseas Scientists GZS2021007Henan Provincial Important Project 221100320200National Key Technologies R & D Program of China 2021YFD1700904
6 · The paper itself

Abstract

Off-line leachate collection from agricultural landscapes cannot guarantee precise evaluation of agricultural non-point source (ANPS) due to geospatial variations, time, and transportation from the field to the laboratory. Implementing an in-situ nitrogen and phosphorous monitoring system with a robust photochemical flow analysis is imperative for precision agriculture, enabling real-time intervention to minimize non-point source pollution and overcome the limitations posed by conventional analysis in laboratory. A reliable, robust and in-situ approach was proposed to monitor nitrogen and phosphorous for determining ANPS pollution. In this study, a home-made porous ceramic probe and the frequency domain reflectometer (FDR) based water content sensors were strategically placed at different soil depths to facilitate the collection of leachates. These solutions were subsequently analyzed by in-situ photochemical flow analysis monitoring system built across the field to estimate the concentrations of phosphorus and nitrogen. After applying both natural and artificial irrigation to the agricultural landscape, at least 10 mL of soil leachates was consistently collected using the porous ceramic probe within 20 min, regardless of the depth of the soil layers when the volumetric soil water contents are greater than 19%. The experimental results showed that under different weather conditions and irrigation conditions, the soil water content of 50 cm and 90 cm below the soil surface was 19.58% and 26.08%, respectively. The average concentrations of NH

Indexed as

Agricultural non-point source pollution (ANPS)Automatic photochemical flow analysisFDR soil water content sensorPorous ceramic probeSampling well

Identifiers

PMID38910171
PMCPMC11194265

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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.