Evidence map›Paper›PMID 41276606›Full record

ArticleScientific reports2025

A modelling approach to assess the impacts of climate dynamics and anthropogenic pressure on water yield in the Damodar River basin.

Jyoti Prakash Hati, Anirban Mukhopadhyay, Rituparna Acharyya, Halina Kaczmarek

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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
–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

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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

4 authors.

Jyoti Prakash HatiFaculty of Geographical Sciences, Kazimierz Wielki University, Bydgoszcz, Poland.
Anirban MukhopadhyayFaculty of Geographical Sciences, Kazimierz Wielki University, Bydgoszcz, Poland.
Rituparna AcharyyaFaculty of Geographical Sciences, Kazimierz Wielki University, Bydgoszcz, Poland.
Halina KaczmarekFaculty of Geographical Sciences, Kazimierz Wielki University, Bydgoszcz, Poland. halina.kaczmarek@ukw.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in climatic variables like precipitation and the rapid development of anthropogenic activities have the potential to affect both groundwater and surface water. It is specifically observable in the non-perennial river like the Damodar, where, despite the construction of dams, flooding is a recurring problem. This study aims to evaluate the changes in the annual water yield of the DRR using the 'annual water yield' module of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The inputs of the model were derived from different remote sensing datasets using the Google Earth Engine (GEE) platform. The results indicate a lower annual water yield in 2023 (mean 1036 mm) and a higher yield in 2013 (mean 1426 mm), compared to 2003 (mean 1219 mm). Reduced vegetation cover (reduced by 5500 km

Indexed as

Annual water yieldDamodar riverGray level co-occurrence matrixInVEST modelRandom forest

Identifiers

PMID41276606
PMCPMC12749323

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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.