Evidence map›Paper›PMID 34494185›Full record

ArticleEnvironmental science and pollution research international2022

Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh.

Md Abu Bakar Siddique, Abu Reza Md Towfiqul Islam, Md Saddam Hossain, Rahat Khan, Md Ahedul Akbor, Md Hasanuzzaman, Md Wasiq Mamun Sajid, Md Younus Mia, Javed Mallick, M Safiur Rahman and 2 more

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 51 citations in OpenAlex.

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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

12 authors at 7 institutions in 2 countries.

Md Abu Bakar Siddique *Institute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka, 1205, Bangladesh. sagor.bcsir@gmail.com.ORCID https://orcid.org/0000-0001-7947-1910
Abu Reza Md Towfiqul Islam *Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. towfiq_dm@brur.ac.bd.ORCID http://orcid.org/0000-0001-5779-1382
Md Saddam HossainDepartment of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh.
Rahat KhanInstitute of Nuclear Science and Technology, Bangladesh Atomic Energy Commission, Savar, Dhaka, 1349, Bangladesh.
Md Ahedul AkborInstitute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka, 1205, Bangladesh.
Md HasanuzzamanDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.
Md Wasiq Mamun SajidDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.
Md Younus MiaDepartment of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh.
Javed MallickDepartment of Civil Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61411, Saudi Arabia. jmallick@kku.edu.sa.ORCID https://orcid.org/0000-0002-6155-3720
M Safiur RahmanWater Quality Research Laboratory, Chemistry Division, Atomic Energy Center, Bangladesh Atomic Energy Commission, Dhaka, 1000, Bangladesh.
Md Mostafizur RahmanDepartment of Environmental Science, Jahangirnagar University, Savar, Bangladesh.
Md Bodrud-DozaClimate Change Programme, BRAC Centre, 75 Mohakhali, Dhaka, 1212, Bangladesh.
Begum Rokeya University · BDBangladesh Council of Scientific and Industrial Research · BDJahangirnagar University · BDMawlana Bhashani Science and Technology University · BDBangladesh Atomic Energy Commission · BDBRAC · BDKing Khalid University · SA

Funding

King Khalid University The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Research Group under grant number (R.G.P.2 /194/42).
6 · The paper itself

Abstract

Currently, a well-developed combination of irrigation water quality index (IWQIs) and entropy water quality index (EWQIs) for surface water appraisal in a polluted subtropical urban river is very scarce in the literature. To close this gap, we developed IWQIs by establishing statistics-based weights of variables recommended by FAO 29 standard value using the National Sanitation Foundation Water Quality Index (NSFWQI) compared with the proposed EWQIs based on information entropy in the Dhaleshwari River, Bangladesh. Fifty surface water samples were collected from five sampling locations during the dry and wet seasons and analyzed for sixteen variables. Principal component analysis (PCA), factor analysis (FA), Moran's spatial autocorrelation, and random forest (RF) model were employed in the datasets. Weights were allocated for primary variables to compute IWQI-1, 2 and EWQI-1, 2, respectively. The resultant IWQIs showed a similar trend with EWQIs and revealed poor to good quality water, with IWQI-1 for the dry season and IWQI-2 for the wet season is further suggested. The entropy theory recognized that Mg

Indexed as

RiversWater QualityBangladeshEntropyEnvironmental MonitoringBangladeshDhaleswari RiverEntropy theoryFactor analysisPrincipal component analysisSurface water quality index

Identifiers

PMID34494185
OpenAlexW3170406006

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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.