Evidence map›Paper›PMID 28940082›Full record

ArticleEnvironmental science and pollution research international2017

Applicability and efficacy of diatom indices in water quality evaluation of the Chambal River in Central India.

Prateek Srivastava, Sarika Grover, Jyoti Verma, Ambrina Sardar Khan

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Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4 citing papers in PubMed.

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4 authors.

Prateek SrivastavaAmity Institute of Environmental Sciences, Amity University Uttar Pradesh, Sector-125, Noida, 201303, India. psrivastava3@amity.edu.
Sarika GroverAmity Institute of Environmental Sciences, Amity University Uttar Pradesh, Sector-125, Noida, 201303, India.
Jyoti VermaDepartment of Zoology, University of Allahabad, Allahabad, 211002, India.
Ambrina Sardar KhanAmity Institute of Environmental Sciences, Amity University Uttar Pradesh, Sector-125, Noida, 201303, India.

Funding

Science and Engineering Research Board (SERB), Department of Science & Technology, Government of India SB/YS/LS-188/2013
6 · The paper itself

Abstract

Diatom indices have gained considerable popularity in estimation of the trophic state and degree of pollution in lotic ecosystems. However, their applicability and efficacy have rarely been tested in Indian streams and rivers. In the present study, benthic diatom assemblages were sampled at 27 sites along the Chambal River in Central India. PCA revealed three groups of sites, namely, heavily polluted (HVPL), moderately polluted (MDPL), and least polluted (SANT). A total of 100 diatom taxa belonging to 40 genera were identified. Brachysira vitrea (Grunow) was the most abundant species recorded from the least polluted sites with an average relative abundance of 29.52. Nitzschia amphibia (Grunow) was representative of heavily polluted sites (average relative abundance 31.71) whereas moderately polluted sites displayed a dominance of Achnanthidium minutissimum (Kϋtzing) with an average relative abundance of 26.33. CCA was used to explore the relationship between diatom assemblage composition and environmental variables. Seventeen different diatom indices were calculated using diatom assemblage data. The relationship between measured water quality variables and index scores was also investigated. Most of the diatom indices exhibited strong correlations with water quality variables including BOD, COD, conductivity, and nutrients, particularly phosphate. Best results were obtained for TDI and IPS indices which showed a high level of resolution with respect to discrimination of sites on the basis of pollution gradients. Water quality maps for the Chambal River were hence prepared in accordance with these two indices. However, satisfactory results with respect to water quality evaluation were also obtained by the application of EPI-D and IGD indices. The present study suggests that TDI and IPS are applicable for biomonitoring of rivers of Central India. Diatom indices, which are simpler to use such as IGD, may be considered, at least for a coarser evaluation of water quality.

Indexed as

Environmental BiomarkersWater QualityDiatomsEnvironmental MonitoringIndiaRiversWater Pollutants, ChemicalEnvironmental BiomarkersWater Pollutants, ChemicalBiomonitoringCanonical correspondence analysisChambal RiverDiatom indicesOMNIDIAWater quality

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