Seasonal variations in water quality and major threats to Nellore Cheruvu (tank), Nellore district, India

Sreenivasulu, K.; Hossain, Kaizar; Damodharam, T.

doi:10.3126/ije.v3i2.10502

Cited by 8 publications

(5 citation statements)

References 3 publications

(1 reference statement)

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“…The geology of the Began and Rupa basins is characterized by an intermontane fluvial basin. The basins consist of loamy to sandy gravel, silt, and clay deposits of quaternary age brought from the Annapurna mountain range [28,29]. Precambrian to Palaeozoic talc-rich red phyllite, schist, limestone, quartzite, gneiss, and carbonaceous conglomerate with inter-bedded schist are the major geological formations in the region.…”

Section: Study Areamentioning

confidence: 99%

Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake, Gandaki Province, Nepal

et al. 2021

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Contamination of the trace elements (TEs) in the freshwater ecosystems is becoming a worldwide problem. This study was carried out to investigate the TEs contamination, and their associated health risk in Begnas Lake and Rupa Lake, Gandaki Province, Nepal. A total of 30 water samples were collected from both lakes during the pre-monsoon season in 2016. The samples were analyzed for the TEs including copper (Cu), lead (Pb), zinc (Zn), nickel (Ni), cobalt (Co), chromium (Cr), cadmium (Cd), manganese (Mn), cesium (Cs), and arsenic (As) using inductively coupled plasma mass spectrometry. The results exhibited that the mean concentrations of all the TEs were higher in Rupa Lake as compared to Begnas Lake except Pb. Principal component analysis and cluster analysis revealed that both the geogenic and anthropic sources were the major contributors of TEs in the lake water. Anthropic activities were considered to contribute the TEs like Zn and Mn in lake water mainly via agricultural runoff, while evaluating the risk of TEs on human health all the elements showed HQ < 1 and CR < 10−4 indicating currently very low health risk concerns. In good agreement with above, the water quality index (WQI) of the Begnas Lake and Rupa Lake was 2.67 and 5.66, respectively, specifying the lake water was safe for drinking and public health concern. This appraisal would help the policymakers and concerned stakeholders for the sustainable management of Ramsar listed freshwater lakes in the Himalayas.

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Section: Study Areamentioning

confidence: 99%

Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake, Gandaki Province, Nepal

et al. 2021

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“…The rock distribution in the watershed is predominated by sedimentary and metamorphic rocks, whereas igneous rock has a limited distribution. The watershed consists of geological features of lesser Himalayan rocks, i.e., slate, dolomite, limestone, siltstone, quartzite, schist, muscovite, and carbonaceous shale (Dhital, 2015). The soils in the basin are mostly formed from the lacustrine deposit, including parent rock weathering with medium to high organic matter contents (Khadka & Ramanathan, 2013).…”

Section: Study Areamentioning

confidence: 99%

Water quality and land use/cover changes in the Phewa Watershed, Gandaki Province, Nepal

Bishwakarma

Pant

Pal

et al. 2019

Nep Jnl Environ Sci

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Knowledge and understanding of land use and water quality nexus is an important precursor for assessing the human-water interactions and sustainable freshwater management. In this study, the land use/cover change (LUCC) and water quality assessment with respect to drinking and irrigational purposes were carried out in Phewa Lake, Nepal. A total of 20 water samples were collected during the winter and summer seasons in 2017 and were analysed for major hydrochemical variables. The water quality index of Phewa Lake was found to be 5.15 and 2.57 during the winter and summer, respectively, indicating the suitability of water for drinking purposes. The results revealed that the electrical conductivity, sodium percentage, and sodium adsorption ratio were found to be 38.80 µS/cm, 16.99, and 0.10, respectively in the summer and 85.06 µS/cm, 14.68, and 0.15, respectively in the winter. Similarly, permeability index, Kelly’s ratio, magnesium hazard, cation ratio of soil structural stability, and Wilcox diagram exhibited that the water was suitable for irrigation in both seasons with relatively better quality in the summer. The dynamic pattern of LUCC in the Phewa watershed exhibited an increase in the spatial extent of forest, shrub-land, grassland, and built-up area, whereas decreasing trend of agricultural land, barren land, and water bodies. Irrespective of the seasonality, the LUCC-water quality nexus showed elevated concentrations in the proximity of the urban settlements. The present study could be helpful for the restoration of water quality by sustainable land-use practices in the Himalayan region.

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“…This is much higher that the tolerance limit of maximum 20 mg/l for class-A purpose suggested by the Bureau of Indian Standards (IS: 2296(IS: -1982. The high value of nitrate is linked to run-off of the organic matter from the agricultural land located at the bank of river and impeded microbial and bacterial activities (Soni and Thomas, 2013;Sreenivasulu et al, 2014). The presence of excess nitrate causes health hazards to humans.…”

Section: Physical and Chemical Characteristicsmentioning

confidence: 99%

“…So instead of monitoring ten sites, only three sites could be selected in future spatial sampling strategy without affecting the result. The reduction in sampling sites in the monitoring network will be more economical without losing any significance of the outcome (Bajpai et al, 2013;Vishnu et al, 2014;Sreenivasulu et al, 2014).…”

Section: Cluster Analysismentioning

confidence: 99%

Assessment of surface water quality using hierarchical cluster analysis

Dabgerwal

Tripathi

2016

Int. J. Environ.

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This study was carried out to assess the physicochemical quality river Varuna in Varanasi, India.Water samples were collected from 10 sites during January-June 2015. Pearson correlation analysis was used to assess the direction and strength of relationship between physicochemical parameters. Hierarchical Cluster analysis was also performed to determine the sources of pollution in the river Varuna. The result showed quite high value of DO, Nitrate, BOD, COD and Total Alkalinity, above the BIS permissible limit. The results of correlation analysis identified key water parameters as pH, electrical conductivity, total alkalinity and nitrate, which influence the concentration of other water parameters. Cluster analysis identified three major clusters of sampling sites out of total 10 sites, according to the similarity in water quality. This study illustrated the usefulness of correlation and cluster analysis for getting better information about the river water quality.

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Seasonal variations in water quality and major threats to Nellore Cheruvu (tank), Nellore district, India

Cited by 8 publications

References 3 publications

Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake, Gandaki Province, Nepal

Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake, Gandaki Province, Nepal

Water quality and land use/cover changes in the Phewa Watershed, Gandaki Province, Nepal

Assessment of surface water quality using hierarchical cluster analysis

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