Evidence map›Paper›PMID 35154292›Full record

ArticleJournal of mountain science2022

Hydrochemical characterization and irrigation suitability of the Ganges Brahmaputra River System: review and assessment.

Kiran Bishwakarma, Guan-Xing Wang, Fan Zhang, Subash Adhikari, Kabita Karki, Archana Ghimire

Abstract read
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Article in Journal of mountain science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Kiran BishwakarmaState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Chinese Academy of Sciences, Beijing, 100101 China.ORCID https://orcid.org/0000-0002-0947-4697
Guan-Xing WangState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Chinese Academy of Sciences, Beijing, 100101 China.ORCID https://orcid.org/0000-0002-3946-609X
Fan ZhangState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Chinese Academy of Sciences, Beijing, 100101 China.ORCID https://orcid.org/0000-0002-6714-9534
Subash AdhikariProvincial Policy and Planning Commission, Gandaki Province, Pokhara, 33700 Nepal.ORCID https://orcid.org/0000-0003-1116-5161
Kabita KarkiState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Chinese Academy of Sciences, Beijing, 100101 China.ORCID https://orcid.org/0000-0002-9307-4310
Archana GhimireUniversity of Chinese Academy of Sciences, Beijing, 100049 China.ORCID https://orcid.org/0000-0002-3706-613X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hydrochemical characterization and irrigation suitability assessment of the Ganges-Brahmaputra River System (GBRS) has immense importance for the livelihoods of people and ecosystem sustainability in the region. This study aims to assess the hydrochemical characteristics and evaluate the irrigation suitability of water in the GBRS by reviewing published literature of the major tributaries. The studied rivers were categorized into two groups namely Group-1 and Group-2 considering the similarities of climatic patterns, hydrochemical attributes, and drainage characteristics. The hydrochemistry of the river water was characterized by the Piper diagram, Gibbs plot, mixing plots, and ionic ratios. Furthermore, irrigation water qualities were evaluated by electrical conductivity (EC), sodium percentage (Na%), sodium adsorption ratio (SAR), magnesium hazard (MH), and Wilcox diagram. The results indicated that the hydrochemistry of the GBRS was slightly alkaline to alkaline (7.42-8.78) in nature. The average concentrations of most of the chemical attributes showed higher in Group-1, whereas the average concentrations of K

Indexed as

Ganges-Brahmaputra River SystemHydrochemical characterizationIrrigation suitability assessmentMajor ions

Identifiers

PMID35154292
PMCPMC8819201

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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.