Correlation Study on Physico‐Chemical Parameters and Quality Assessment of Kosi River Water, Uttarakhand

Bhandari, Narendra Singh; Nayal, Kapil

doi:10.1155/2008/140986

Cited by 59 publications

(42 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A significant correlation was observed between the water pollutants. This observation is in harmony with the previous studies (Bhandari and Nayal 2008;Waziri and Ogugbuaja 2010). The contrast of water pollutants in Teesta as compared to Rani Khola can be due to the construction of a number of small-to-medium hydel projects in Teesta such as in Dikchu area (DFEWM 2012).…”

Section: Discussionsupporting

confidence: 93%

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

2018

View full text Add to dashboard Cite

Spatial analysis of water quality impact assessment of highway projects in mountainous areas remains largely unexplored. A methodology is presented here for Spatial Water Quality Impact Assessment (SWQIA) due to highway-broadening-induced vehicular traffic change in the East district of Sikkim. Pollution load of the highway runoff was estimated using an Average Annual Daily Traffic-Based Empirical model in combination with mass balance model to predict pollution in the rivers within the study area. Spatial interpolation and overlay analysis were used for impact mapping. Analytic Hierarchy ProcessBased Water Quality Status Index was used to prepare a composite impact map. Model validation criteria, cross-validation criteria, and spatial explicit sensitivity analysis show that the SWQIA model is robust. The study shows that vehicular traffic is a significant contributor to water pollution in the study area. The model is catering specifically to impact analysis of the concerned project. It can be an aid for decision support system for the project stakeholders. The applicability of SWQIA model needs to be explored and validated in the context of a larger set of water quality parameters and project scenarios at a greater spatial scale.

show abstract

Section: Discussionsupporting

confidence: 93%

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

2018

View full text Add to dashboard Cite

show abstract

“…The significant difference ( < 0.01) in COD is due to the significantly higher values recorded in station 1 than in stations 2 and 3, meaning that there could be discharge of industrial effluents upstream of the river. For effective maintenance of water quality through appropriate control measures, continuous monitoring of a large number of quality parameters is essential, but since regular monitoring is a very difficult and laborious task, an alternative approach based on statistical correlation has been used to develop mathematical relationship for comparison of physical and chemical parameters in recent years [26,27]. The spatial variations in the level of significant correlation of the physical and chemical parameters among the stations and [28,29].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Ecological Impact of Human Settlement on the Water Quality of Lower Cross River, Nigeria

Oribhabor

Udoidiong

Udoh

et al. 2013

Journal of Ecosystems

View full text Add to dashboard Cite

The ecological impact of human settlement on the water quality of Lower Cross River, Nigeria was evaluated. The physical and chemical conditions of the river water were determined from January to August, 2011. Three stations comprising Itu in Akwa Ibom State with intense human activities (station 2), its upstream (without human settlement) at Cross River State (station 1) and the downstream (station 3) were sampled. The Parametric One Way Analysis of Variance (ANOVA) indicated that of the 17 physical and chemical parameters determined, only water level and COD were found to be significantly different ( < 0.01) among stations. The spatial variations in the level of significant correlation of the physical and chemical parameters among the stations and the higher level of interrelationship in downstream station 2 and 3 than station 1 could be attributed to inputs resulting from human settlement. Comparison between some parameters with Standard Organization of Nigeria, and World Health Organization maximum permitted levels for drinking water indicated that the water was not polluted. However, the BOD and COD concentrations of greater than 2 mg/L and 20 mg/L respectively were indicative of pollution.

show abstract

“…The statistical analysis has been carried out by Pearson's correlation coefficient between different pairs of water quality parameters of river water to develop the significant correlation among the parameters (Bhandari and Nayal 2008;Joshi et al 2009). The data analysis yielded an R-value, which is a correlation representing the linear relationship between the data pairs.…”

Section: Correlation Matrixmentioning

confidence: 99%

Water quality evaluation of Himalayan Rivers of Kumaun region, Uttarakhand, India

Seth¹,

Mohan²,

Singh³

et al. 2014

Appl Water Sci

View full text Add to dashboard Cite

Water quality of Himalayan rivers has been steadily deteriorating over several decades due to anthropogenic activities, dumping of treated or untreated effluents, poor structured sewerage and drainage system, etc. In the present study, the water quality of five important rivers namely, Gola, Kosi, Ramganga, Saryu and Lohawati rivers were investigated which flow through the different districts of Kumaun region of Uttarakhand Himalaya. The water of all these rivers serves as the major source for drinking and irrigation purposes in these districts of the Kumaun region of Uttarakhand. River water samples collected in premonsoon and post-monsoon seasons of the years 2011 and 2012 were analyzed for various water quality characteristics. Statistical analyses indicate positive correlation among most of the chemical parameters. Piper diagram illustrates that all the water samples fall in Ca-Mg-HCO 3 hydrochemical facies, Moreover, the suitability of water for drinking purposes determined by water quality index indicated that river water in both the seasons is unsuitable. Irrigation water quality of all the river water was found suitable during both the seasons according to the result of sodium adsorption ratio, sodium percentage and residual sodium carbonate. The present study revealed that major factors contributing to deterioration of water quality of all the rivers might be eutrophication, tourism, anthropogenic and geogenic processes. Therefore, to restore the vitality and water quality of all these rivers, proper water resource planning programme should be developed.

show abstract

Correlation Study on Physico‐Chemical Parameters and Quality Assessment of Kosi River Water, Uttarakhand

Cited by 59 publications

References 1 publication

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

Evaluation of the Ecological Impact of Human Settlement on the Water Quality of Lower Cross River, Nigeria

Water quality evaluation of Himalayan Rivers of Kumaun region, Uttarakhand, India

Contact Info

Product

Resources

About