scholarly journals Ecological risk assessment in surface water quality of River Ganga System using HPI vis-à-vis PTEs toxicity

2020 ◽  
Vol 58 (4) ◽  
pp. 267-275
Author(s):  
Gagan Matta ◽  
Avinash Kumar ◽  
Anjali Nayak ◽  
Pawan Kumar
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Surface Water ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Surface Water Quality ◽  
River Ganga

scholarly journals Evaluation of surface water quality indices and ecological risk assessment for heavy metals in scrap yard neighbourhood

SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Olusheyi Z. Ojekunle ◽  
Olurotimi V. Ojekunle ◽  
Azeem A. Adeyemi ◽  
Abayomi G. Taiwo ◽  
Opeyemi R. Sangowusi ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Risk Assessment ◽  
Surface Water ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Surface Water Quality ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals Surface water quality and health risk assessment of Kameng river (Assam, India)

2020 ◽  
Vol 15 (4) ◽  
pp. 1190-1201
Author(s):  
Kunwar Raghvendra Singh ◽  
Ankit Pratim Goswami ◽  
Ajay S. Kalamdhad ◽  
Bimlesh Kumar
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Surface Water ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Sampling Site ◽  
Human Health Risk ◽  
Surface Water Quality ◽  
Agricultural Runoff

Abstract Present study evaluated the surface water quality of Kameng River (Assam, India). Kameng River is the tributary of the river Brahmaputra, having its confluence at its north bank. Water samples were collected from 9 different locations along the stretch and 24 parameters were analysed. Water quality at all sampling sites was expressed in terms of overall index of pollution (OIP). The OIP of all sampling sites varied between 1.30 and 1.74. Principal component analysis (PCA) was used to identify the latent factors influencing the water quality of the river. PCA revealed that domestic wastewater and agricultural runoff were the leading sources causing adulteration of the river's water quality. The degree of contamination of each sampling site due to heavy metals was calculated by the contamination index and an associated human health risk assessment was done by computing average daily intake and Hazard quotient (HQ). The HQ of all sampling sites varied from 0.14 to 1.21. This work presents the reliability and practicability of the integrated use of these approaches in river water quality monitoring and assessment. These methods will be very useful for policy makers for assessing the cause and effect of pollution of water bodies and implementing policies to keep pollution under check.

scholarly journals Water quality assessment using NSFWQI, OIP and multivariate techniques of Ganga River system, Uttarakhand, India

2020 ◽  
Vol 10 (9) ◽  
Author(s):  
Gagan Matta ◽  
Anjali Nayak ◽  
Avinash Kumar ◽  
Pawan Kumar
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Resources ◽  
River Water ◽  
Fresh Water ◽  
Surface Water Quality ◽  
Ganga River ◽  
Multivariate Techniques ◽  
River Ganga

Abstract Ganga River water is very much stressed with the rapidly increasing population, climate change and water pollution that increase domestic, agricultural and industrial needs. This study assesses the surface water quality of the River Ganga in India, using NSFWQI, OIP and multivariate techniques. During the current study, water samples from Ganga River were collected for the assessment of 19 physico-chemical determinants from 20 sampling locations. Water quality indices (WQIs) is used to classify the overall impact of different variables of water. Multivariate techniques were utilized to assess the water conditions for productive management of fresh water quality. The WQI results showed that surface water quality varied at the selected sampling sites among medium and good categories. The PCA generates the 6 principle components which highly contributes (80.3%) in influencing the hydro-chemistry of river water. Agricultural waste runoff, untreated effluents and many other anthropogenic activities were identified as main contributor in decreasing the water quality of the River Ganga. To maintain and protect this fresh water resources against contamination, the usage of stringent policies and rules are expected to preserve fresh water resources for people in the future.

scholarly journals Dynamics of changes in surface water quality indicators of the Western Bug River basin within Ukraine using GIS technologies

2019 ◽  
Vol 42 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Igor Gopchak ◽  
Tetiana Basiuk ◽  
Ihor Bialyk ◽  
Oleg Pinchuk ◽  
Ievgenii Gerasimov
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Environmental Assessment ◽  
Land Surface ◽  
Surface Water Quality ◽  
Ecological Condition ◽  
Toxic Substances ◽  
Ecological Index ◽  
Gis Technologies

Abstract The environmental assessment of the surface water quality of the Western Bug River has been made using the system of classification quality of land surface water of Ukraine in accordance with the approved methodology, which allows comparing water quality of separate areas of water objects of different regions. The calculation of the environmental assessment of water quality has been carried according to three blocks: block of salt composition, block of trophic and saprobic (ecological and sanitary) indicators and block of indicators of content of specific toxic substances. The results are presented in the form of a combined environmental assessment, based on the final conclusions of the three blocks and consists in calculating the integral ecological index. Comprehensive studies of changes in the water quality of the Western Bug River have been conducted within the territory of Ukraine for a long-term period. The water quality of the river on the final values of the integral indicators of the ecological condition corresponded mainly to 4nd category of the 3rd class – the water is “satisfactory” by condition and “little polluted” by degree of purity (except for points of observation that located within the Volyn region, where the water quality corresponded to 3rd category and the 2nd class. It is “good” by condition and “fairly clean” by the degree of purity). Visualization and part of the analysis are performed using GIS technologies in the software of the ArcGIS 10.3.

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