Investigating the applicability and assumptions of the regression relationship between flow discharge and nitrogen concentrations for load estimation.

Jung-Hun Song, Younggu Her, Youn Shik Park, Kwangsik Yoon, Hakkwan Kim

Open access · goldAbstract read

In one paragraph

Article in Heliyon, 2024. 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

0.1field-weighted citation impact, top 52% 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 5 institutions in 2 countries.

Jung-Hun SongInstitute of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Republic of Korea.

Younggu HerDepartment of Agricultural and Biological Engineering & Tropical Research and Education Center, University of Florida, Homestead, FL 33031, USA.

Youn Shik ParkDepartment of Rural Construction Engineering, Kongju National University, Yesan 32439, Republic of Korea.

Kwangsik YoonDepartment of Rural and Biosystems Engineering & Education and Research Unit for Climate-Smart Reclaimed Tideland Agriculture (BK21 four), Chonnam National University, Gwangju 61186, Republic of Korea.

Hakkwan KimGraduate School of International Agricultural Technology and Institutes of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Republic of Korea.

Chonnam National University · KRKongju National University · KRSeoul National University · KRSeoul National University of Science and Technology · KRUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regression relationship between water discharge rates and nutrient concentrations can provide a quick and straightforward way to estimate nutrient loads. However, recent studies indicated that the relationship might produce large biases in load estimates and, therefore, may not be applicable in certain types of cases. The goal of this study is to explore the theoretical reasons behind the selective applicability of the regression relationship between flow rates and nitrate + nitrite concentrations. For this study, we examined daily flow and nitrate + nitrite concentration observations made at the outlets of 22 watersheds monitored by the Heidelberg Tributary Loading Program (HTLP). The statistical relationship between the flow rates and concentrations was explored using regression equations offered by the LOAD ESTimator (LOADEST). Results demonstrated that the use of the regression equations provided nitrate + nitrite load estimates at acceptable accuracy levels (

Indexed as

Flow dischargeLOADESTnitrate+nitriteRegression modelSupply-limitedTransport-limited

Identifiers

PMID38226232

DOI10.1016/j.heliyon.2023.e23603

PMCPMC10788450

OpenAlexW4389956258

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.