Evidence map›Paper›PMID 39487294›Full record

ArticleScientific reports2024

A hybrid technique to enhance the rainfall-runoff prediction of physical and data-driven model: a case study of Upper Narmada River Sub-basin, India.

Sachin Kumar, Mahendra Kumar Choudhary, T Thomas

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sachin KumarDepartment of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India. 203111003@stu.manit.ac.in.
Mahendra Kumar ChoudharyDepartment of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, India.
T ThomasNational Institute of Hydrology, Bhopal, 462003, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate streamflow prediction is crucial for effective water resource management and planning. This study aims to enhance streamflow simulation accuracy in the data-scarce Upper Narmada River Basin (UNB) by proposing a novel hybrid approach, ANN

Indexed as

Data-driven models – ANNNovel aproach - ANNHybridPhysical models – WEAPRainfall-runoffSensitivity analysis

Identifiers

PMID39487294
PMCPMC11530657

What OpenQuestion holds

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Registered trials

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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.