Evidence map›Paper›PMID 33511428›Full record

ArticleEnvironmental monitoring and assessment2021

Riverine landscape dynamics of the Upper Ganga River (Haridwar-Narora), India.

Satish Prasad, Ridhi Saluja, Varun Joshi, J K Garg

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2021. 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
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  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

4 authors at 1 institution in 2 countries.

Satish PrasadUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Delhi, India. satishve12@gmail.com.ORCID http://orcid.org/0000-0003-0246-3300
Ridhi SalujaUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Delhi, India.ORCID https://orcid.org/0000-0003-0696-2297
Varun JoshiUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Delhi, India.ORCID https://orcid.org/0000-0002-5543-6392
J K GargUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Delhi, India.ORCID https://orcid.org/0000-0002-9222-177X
Guru Gobind Singh Indraprastha University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earth observation data provides an exceptional opportunity to study the temporal dynamics of large rivers. The availability of spatially continuous, synoptic and temporally repetitive satellite data allows the reconstruction of historical dynamics of large rivers along with the identification of the causal factors. An absolute paucity of information on the effect of hydrogeomorphic processes on the dynamics of the Upper Ganga River (UGR), especially upon its entry in the plains, motivated this research. This study aims to analyse morphological changes in the river channel, map temporal changes in the land use/land cover (LULC) within the riverscape and thereby understand the landscape dynamics in the UGR (Haridwar to Narora) during 1993-2017 by means of earth observation data. The analysis showed that the river remains straight with a sinuosity index of < 1; however, the braiding increased considerably (from 3.79 to 4.53). Erosion being more prominent on the left bank in comparison to the right bank with 85.89 km

Indexed as

Environmental MonitoringRiversAgricultureIndiaBraidingErosion-depositionFRAGSTATSLULCRiver dynamicsSinuosity

Identifiers

PMID33511428
OpenAlexW3122045364

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.