scholarly journals Correlation Study For the Assessment of Water Quality and Its Parameters of Ganga River, Kanpur, Uttar Pradesh, India

2013 ◽  
Vol 5 (3) ◽  
pp. 80-90 ◽  
Author(s):  
Naseema Khatoon ◽  
2021 ◽  
Vol 24 (2) ◽  
pp. 43-51
Author(s):  
Atul K. Singh ◽  
Sharad C. Srivastava ◽  
Pushpendra Verma

Abstract In order to assess the distribution pattern and understand the prevailing factors for predicting further expansion of an exotic fish Oreochromis niloticus, this study was undertaken in the Ganga river flowing through the state of Uttar Pradesh using MaxEnt model. The authors report the distribution pattern of O. niloticus and prevailing causative factors mounting the expansion of O. niloticus in the Ganges based on MaxEnt modeling technique. The presence only occurrence data-set for this invasive species was prepared from the field data and also from data collated from the authenticated publications of different fisheries researchers. The data-set was analyzed with environmental and topographical variables typically incorporating seasonal and temporal variability using MaxEnt, a maximum entropy algorithm which showed that the area under curve was much closer to 1 ( 0.999). The model predicted elevation as the most influential predictor variable with permutation importance of 69.2% followed by slope_steepness (10.1%), Tmax_1 (7.3%) and Srad_5 (6.8%). The findings from the results suggest that invasive O. niloticus tend to spread in rivers where elevation is lower as well as slope_steepness of the river is higher and thus indicated that invasion might be higher in the downstream of the river. The model suggests that topography and its derived variable are the most significant predictors for distribution of invasive O. niloticus. The results of this study also confirm that the water qualities of the Ganga river are suitable for O. niloticus and if the model is supplemented with water quality variables data, the influential predictor variable in water quality can be well investigated with permutation importance.


2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.


2003 ◽  
Vol 38 (4) ◽  
pp. 607-626 ◽  
Author(s):  
Vinod Tare ◽  
Purnendu Bose ◽  
Santosh K. Gupta

Abstract In India, the implementation of river-cleaning operations through River Action Plans (RAPs) conventionally focuses on a reduction in concentrated or point sources of organic loading to the river, and is assessed by monitoring the consequent improvement in river water quality. However, in the case of Indian rivers or river stretches having substantial background pollution due to distributed or non-point loading of organic matter and nutrients, elimination of point sources of pollution may not substantially impact or improve river water quality. It is suggested that implementation of River Action Plans in India under such circumstances must be conducted using a multi-tier approach. The initial emphasis in such cases should be on the selection of priority stretches of the river, where pollution control will have maximum beneficial impact on the citizens, and interception and diversion of all concentrated or point loads of pollution from these stretches. In addition, measures to minimize non-point pollution and visible pollution to the river and initiation of riverfront restoration and development projects are necessary in these priority stretches. Such measures would result in aesthetic improvements, increase the beneficial uses of the river and its surroundings, and generate favorable public perception towards RAPs, though they may not be sufficient to enhance the river water quality to the desired levels. However, as a result of the above actions, public support for funding more expensive and longer-term river cleaning schemes, resulting in comprehensive reduction in organic and nutrient loading to the river from point and non-point sources all along its length, may be generated. The need for this alternative methodology for implementation and assessment of RAPs in India has been illustrated by taking the example of the Ganga Action Plan (GAP) and assessment of its implementation near the city of Kanpur in the state of Uttar Pradesh, India, as a test case.


Author(s):  
Sadhna Sharma ◽  
Sona Ahuja ◽  
Deepika Satsangee

The present empirical study was designed to study the correlation between the academic achievement and consciousness at two different educational levels of the university. The study was a non-experimental correlation study which was conducted on 150 students (75 graduates, 75 post graduates) of Faculty of Education, Dayalbagh Educational Institute, Agra, Uttar Pradesh, India. The number of male and female students was in the ratio of 65:35. A willing participation of the students in the study was sought. Consciousness Quotient Inventory by Brazdau (2008) was used to assess consciousness quotient of the university students at two different educational levels (i.e. graduation and post-graduation). To measure the academic achievement of the students, students' scores of internal and external assessment at the university were considered. Pearson's Product Moment Correlation was used to find out correlation between the scores of Academic achievement and consciousness quotient. Results indicated a significant positive correlation between academic achievement and Consciousness of the students at the two educational levels at the university. Moreover, results indicated the rise in consciousness level with the rise in the educational level at the University. At the end of the paper, educational implications of the study are provided for the teachers, educators, administrators and other people associated with the field of education.


2021 ◽  
Author(s):  
Sneha Santy ◽  
Pradeep Mujumdar ◽  
Govindasamy Bala

<p>High industrial discharge, excessive agricultural activities, untreated sewage disposal make the Kanpur region one of the most contaminated stretches of the Ganga river. This study analyses water quality for the combined future climate change and land use land cover scenarios for mid-century for a 238km long Kanpur stretch of Ganga river. Climate change projections from 21 General Circulation Models for the scenarios of RCP 4.5 and RCP 8.5 are considered and Land use Land Cover (LULC) projections are made with QGIS software. Streamflow and water temperature are modelled using the HEC-HMS model and a Water-Air temperature regression model, respectively. Water quality analysis is simulated using the QUAL2K model in terms of nine water quality parameters, dissolved oxygen, biochemical oxygen demand (BOD), ammonia nitrogen, nitrate nitrogen, total nitrogen, organic phosphorus, inorganic phosphorus, total phosphorus and faecal coliform. Climate change impact alone is projected to result in degraded water quality in the future. Combined climate change and LULC change may further degrade water quality, especially at the study area's critical locations. Our study will provide guidance to policymakers to safeguard the Ganga river from further pollution.</p>


2014 ◽  
Vol 13 (3) ◽  
pp. 200-202
Author(s):  
Bhupendra Kumar Sing ◽  
Saurabh Singh ◽  
Vandana Srivastava ◽  
D.N. Shukla

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