Seasonal Variations in Water Quality Parameters of River Yamuna, India

Hassan, Taskeena; Parveen, Saltanat; Bhat, Bilal Nabi; Ahmad, Uzma

doi:10.20546/ijcmas.2017.605.079

Cited by 30 publications

(11 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Boron concentration in Yamuna water falls under category of slight to moderate restrictive use. These results are also in conformity with findings of many authors working on water quality of Yamuna or other rivers in Indian subcontinent (Hassan et al, 2017). In fact, higher concentration of nitrate in river water during rainy and post-rainy season over summers links to high runoff input from agricultural fields.…”

Section: Sar and Rscsupporting

confidence: 92%

Seasonal Variations in Physico-Chemical Properties of Yamuna Water and its Suitability for Irrigation

Pal¹,

Dubey²,

Dubey³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

Section: Sar and Rscsupporting

confidence: 92%

Seasonal Variations in Physico-Chemical Properties of Yamuna Water and its Suitability for Irrigation

Pal¹,

Dubey²,

Dubey³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

View full text Add to dashboard Cite

“…This rainfall-induced dilution of carbonate alkalinity can become a primary factor for the overestimation of pCO 2 at sites with low pH and alkalinity (Li et al, 2013;Manaka et al, 2015). In contrast, the increasing proportion of wastewater in the receiving river reaches during dry periods can increase the river water alkalinity due to the lack of dilution by rainwater (Hassan et al, 2017), resulting in relatively lower discrepancies between the calculated and measured pCO 2 values in the four large Asian rivers during dry periods compared to wet periods (Figure 4A). Small discrepancies between the calculated and measured values of pCO 2 during the cruise expedition along the Ganges and Mekong (Figure 8) also suggest that carbonate equilibriabased calculations can be reliably applied to large rivers to calculate pCO 2 from the usual ranges of pH and alkalinity under low-flow conditions.…”

Section: Discussionmentioning

confidence: 99%

Improving Carbonate Equilibria-Based Estimation of pCO2 in Anthropogenically Impacted River Systems

Nayna¹,

Begum²,

Ran³

et al. 2021

Front. Earth Sci.

View full text Add to dashboard Cite

Estimating riverine carbon dioxide (CO2) emissions has been constrained by lacking field measurements of the partial pressure of CO2 (pCO2) and inaccuracies in calculating pCO2 using carbonate equilibria-based models such as CO2SYS. To evaluate potential errors in applying the carbonate equilibria-based pCO2 calculation to river systems affected by monsoon rainfall and water pollution, we compared pCO2 values calculated using CO2SYS and those measured by headspace equilibration in five Asian rivers (Ganges, Mekong, Yangtze, Yellow, and Han rivers) undergoing various water pollution stages. Across the five rivers, calculated and measured pCO2 values exhibited larger discrepancies during the monsoon season, particularly in the low pH range, while in the Han River mismatches were also noticeable during the dry season. In the Han River, pH was negatively correlated with dissolved organic carbon (DOC) during the monsoon, indicating organic acids flushed from soils during rainfalls as a key factor for overestimated pCO2 at sites with low pH and alkalinity, whereas dry-season overestimation of pCO2 may be ascribed to non-carbonate alkalinity including organic acids and inorganic anions delivered by wastewater effluents or sporadic rainfalls. The four large rivers exhibited a positive correlation between pH and DOC in tributaries during the monsoon season, indicating that DOC flushed from soils may be diluted by monsoonal floods to such a degree as to exert little influence on pH and hence pCO2. Therefore, the monsoonal overestimation of pCO2 at sites with low pH and alkalinity warrants further investigation of other factors than non-carbonate alkalinity to explain the increased sensitivity of pCO2 to subtle changes in acidity and buffering. These results illustrate the importance of direct measurements of pCO2 in highly polluted rivers, especially during the monsoon season. For river systems lacking pCO2 measurements, we suggest that carbonate equilibria-based models be complemented with corrective measures: 1) presenting pCO2 values calculated from low pH values (pH < 6.5 for monsoon and pH < 6.3 for dry season) together with the pH range to warn potential overestimation; 2) using pre-established regressions between measured pCO2 and environmental variables to correct pCO2 values, particularly during wet periods when large changes in pH and acid buffering are expected.

show abstract

“…High values of this parameter in summer could be related to domestic and industrial sewage discharge, agricultural run-off, and organic matter, which in turn, increase the ionic concentration of Ca 2+ , Mg 2+ . and Cl- (Hassan, Parveen, Bhat, & Ahmad, 2017). Even though there is no maximum or minimum recommended value for this parameter, we observed that, as most of the pH data showed normal results according to the current Brazilian legislation, so, the electrical conductivity also exhibited values considered normal.…”

Section: Fig 2 -Space-time Distribution Of the Ph Values Obtained Along Peri River Pontal Do Paraná -Pr Data Expressed As Mean ± Standardmentioning

confidence: 65%

“…It is only detectable in anthropogenic-impacted rivers, once it is easily incorporated by the plants. Thus, its presence might be considered as a marker of pollution (Hassan et al, 2017). CONAMA's resolution established that the maximum threshold as 10 mg.L -1 for nitrate.…”

Section: Fig 5 -Space-time Distribution Of the Nitrate Concentrations Along The Peri River Data Expressed As Mean ± Standard Deviationmentioning

confidence: 99%

Physical-Chemical Characterization of Peri River, Pontal do Paraná, PR, Brazil

Singo¹,

Araújo-Ramos²,

Rocha³

2020

IJAERS

View full text Add to dashboard Cite

Rivers always went too utilized for the population's benefits, however, environmental impacts caused by humans have resulted in aquatic ecosystems degradation. This fact decreases biological diversity and impairs water availability. Amongst elements which could be quantified to evaluate the impact caused anthropically are phosphorus and nitrogen since the increase of their levels in rivers could result in artificial eutrophication. Thus, the aim of this work was to evaluate the Peri River (Pontal do Paraná -PR) in a spacetime perspective, between 2018 and 2019. It was measured the pH, dissolved oxygen, electric conductivity, total dissolved solids, turbidity, air and water temperature, phosphorus, nitrate, and ammonium in 8 samples points. The majority of the parameters got compatible values with the established with 357/2005 CONAMA's resolution, even the results of the ammonia ion in May 2019 in the points 1, 2, 3, and 4 have shown high values, likely as consequence as leachate from the dump. The parameter pH in point 8, localized in the river source has shown acid values due to soil leaching or the introduction of chemical substances adjacent to this place. As well as past studies, phosphorus has been showing elevated values, which in this set sample collections, data are 50 folds higher than to the established by the CONAMA's resolution, making the Peri River susceptible to eutrophication and environmental deterioration. We concluded that Peri River has been suffering gradually with anthropic impacts, thus, preventive and palliative actions must be taken immediately against the anthropic actions.

show abstract

Seasonal Variations in Water Quality Parameters of River Yamuna, India

Cited by 30 publications

References 26 publications

Seasonal Variations in Physico-Chemical Properties of Yamuna Water and its Suitability for Irrigation

Seasonal Variations in Physico-Chemical Properties of Yamuna Water and its Suitability for Irrigation

Improving Carbonate Equilibria-Based Estimation of pCO2 in Anthropogenically Impacted River Systems

Physical-Chemical Characterization of Peri River, Pontal do Paraná, PR, Brazil

Contact Info

Product

Resources

About