scholarly journals Performance Evaluation of Extended Aeration-Based Sewage Treatment Plants at NCT of Delhi, India

2021 ◽  
Vol 23 (05) ◽  
pp. 515-525
Author(s):  
SK Singh ◽  
◽  
Vasudev Kapoor ◽  
Karan Siriya ◽  
Mehak Vashisth ◽  
...  

Due to urbanization and industrialization huge amount of wastewater is being generated, which is causing water pollution. Nowadays water pollution is a serious problem. The present study has been carried out to evaluate the efficiency of a waste water treatment plants with Extended Aeration Sludge Process (EASP). This has been done by examining the various physiochemical characteristics of wastewater (BOD, COD, TSS & PO4), including a comparison of these characteristics at inlet and outlets of wastewater treatment plants and their variance over time. The examination of the competency of a technology is necessary for further optimization of the treatment units whilst complying with the Central Pollution Control Board (CPCB) requirements. In New Delhi’s Extended Aeration Plants are not working to their peak potential, but have still been able to treat the significant wastewater effectively. The study implies that the effluent released into the Yamuna River would not contribute to the river’s level of pollution.

2018 ◽  
Vol 64 (4) ◽  
pp. 645-663 ◽  
Author(s):  
Prakash Chand

Since independence, Indian policymakers have attempted to address environmental problems by passing a number of rules and regulations as per the vision of the constitution and in response to the requirement of time. However, due to the prevalent poverty and the developmental compulsions of the nation, environment and its protection was not a priority of the government till the end of the 1960s. But, the 1972 Stockholm Conference on Human Environment brought a marked shift in India’s approach to environmental issues. The conference proved to be a turning point in India’s perception on environment and facilitated the creation of the National Committee on Environmental Planning and Co-ordination (NCEPC) in 1972. The NCEPC triggered a rise in environmental legislation, beginning with the Water (Prevention and Control of Pollution) Act of 1974, which provided for the creation of Pollution Control Boards for the control of water pollution at national and state levels and empowered them to enforce the law. The boards were later empowered to deal with air pollution by Air (Prevention and Control of Pollution) Act of 1981 and acted as regulatory mechanisms to environmental protection. This article primarily deals with the role of the Central Pollution Control Board as a regulatory authority to environmental protection and regulations in India.


2020 ◽  
Vol 21 (3) ◽  
pp. 177-185
Author(s):  
P. Chaturvedi ◽  
Kajal S. Rathore ◽  
Mayank Chaturvedi ◽  
Shiv Om Singh

The aim of present study was to compare the air quality before and during lockdown due to COVID-19 pandemic at selected metro cities of India (Delhi, Kolkata, Bangalore, and Mumbai). The data of the selected parameters (Particulate Matter having diameter equal to or less than 2.5micron (PM2.5), Particulate Matter having diameter equal to or less than 10micron (PM10), Nitrogen oxides (NO2), Ammonia (NH3), Sulphur oxides (SO2) Carbon monoxides (CO), and Ozone (O3) for the present study was collected from the official website of Central pollution Control Board (CPCB) and analyzed by calculating mean, standard deviation, total variance, and correlation coefficient. Dendrogram analysis was also performed site wise. The concentration of all the parameters except ozone was found highest at Delhi among all the sites. Ozone values were found highest at Bangalore. A strong correlation was observed between PM10 and PM2.5 at all the sites during the study period. A great change in the values of all the studied parameters was observed before and during the lockdown periods. In metro cities values of PM2.5 was found higher than PM10 except at Bangalore where values of PM2.5 was found lower than PM10. Among all the studied metro cities, Delhi was found highly polluted before and during the lockdown period while Bangalore was found least polluted.


2019 ◽  
Vol 7 (5) ◽  
pp. 1231-1237 ◽  
Author(s):  
Gulbir Singh ◽  
Gautam Kumar ◽  
Vivek Bhatnagar ◽  
Animesh Srivastava ◽  
Kumari Jyoti

Purpose of Study: In this age where population and industrialization have extended exponentially, contamination is a noteworthy emergency looked by humanity and essential measures ought to be taken to control it quickly. High levels of pollutants in the atmosphere, which are responsible for causing pollution that causes human heart problems, breathing and other all health problems to our society. This paper focused to provide a substantial solution to pollution in our society as a result of which major social, personal health and environmental pollution problems can be monitored and by taking effective steps they can be reduced. Methodology: The proposed framework is an IOT unit for handling these issues, including powerful use of the different sensor, to capture the estimations of various sorts of toxins in the earth and show insights on a site which can be gotten to by all clients for nothing. The research data is collected from the different sensors installed at different locations in our surroundings. After collecting data from sensors, a comparative study of data is carried out with the standards provided by the Central Pollution Control Board (CPCB). Results: The proposed system helps to reduce the pollution in our environment and as a result of which pollution can be reduced by taking major steps towards it. Application/Implications: The framework we are proposing is a propelled answer for observing the ecological contamination at a specific spot and make data available for each person. Novelty/originality of the study: Our proposed system ensures that pollution which ultimately causes health, environmental and other social problems can be tracked from time to time and each and every person in the society can track and check pollution level in their surroundings.  


2015 ◽  
Vol 10 (1) ◽  
pp. 338-342 ◽  
Author(s):  
P Kumar ◽  
M Pacha

The present study was intended to determine the concentrations of phenolic compounds in surface waters of Godavari canal by molecular spectrophotometry. Samples were collected from fifteen sampling stations using grab sampling method for a period of four months (from November to February) at 10 day intervals. Total phenols in water samples were determined using molecular spectrophotometry after distillation, complexation with 4-aminoantipyrine and extraction into chloroform. The concentration of phenolic compounds was reported in the range of 80-179 mg/lit, well within the limits considering the earlier reports in the literature and the standards prescribed by Central Pollution Control Board (CPCB) of India. Relatively higher levels of phenolic compounds (100-179 mg/lit) were reported in nine out of fifteen sampling locations. Statistical analysis showed that there is a significant difference in the concentrations of phenolic compounds in the month of November with respect to January (at p = 0.05) and November with respect to February (at p < 0.05).


2020 ◽  
Vol 8 ◽  
Author(s):  
Rohit Sharma ◽  
Raghvendra Kumar ◽  
Suresh Chandra Satapathy ◽  
Nadhir Al-Ansari ◽  
Krishna Kant Singh ◽  
...  

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yamuna river in Dehradun is polluted due to exceptional tourist activity, poor sewage facilities, and insufficient wastewater management amenities. The measurement of the quality can be done by water quality assessment. In this study, the water quality index has been calculated for the Yamuna river at Dehradun using monthly measurements of 12 physicochemical parameters. Trend forecasting for river water pollution has been performed using different parameters for the years 2020–2024 at Dehradun. The study shows that the values of four parameters namely, Temperature, Total Coliform, TDS, and Hardness are increasing yearly, whereas the values of pH and DO are not rising heavily. The considered physicochemical parameters for the study are TDS, Chlorides, Alkalinity, DO, Temperature, COD, BOD, pH, Magnesium, Hardness, Total Coliform, and Calcium. As per the results and trend analysis, the value of total coliform, temperature, and hardness are rising year by year, which is a matter of concern. The values of the considered physicochemical parameters have been monitored using various monitoring stations installed by the Central Pollution Control Board (CPCB), India.


2012 ◽  
Vol 260-261 ◽  
pp. 659-662
Author(s):  
Jun Pan ◽  
Hong Xue Li ◽  
Chang Hong Li

Through to analysis the influence of the effluent from the sewage treatment plant to the river water quality of Fangshen-Habaqi stream segment in lower reaches comprehensively, in order to achieve water pollution control and water function zone protection. This paper use QUAL2K model to simulate the influence to lower reaches water quality, and the simulation factor is BOD. The result showed that the downstream BOD concentration cannot reach the water quality standards Ⅲ. This paper provides some corresponding control measures, so as to provide the scientific basis of the water pollution control planning research.


Author(s):  
Mohd Abul Hasan

Abstract The treatment of wastewater is an essential factor in preventing pollutants and promoting the quality of the water. The inherent complexity, influential impact and the solid waste infrastructure lead to confusion and variance in the primary clarifier for wastewater. These inconsistencies lead to variations in the purity and capacity constraints of wastewater and the existential impact of water receipt. The water treatment is a complicated task that has means of chemical, technical & biochemical influences. A credible ANN method is necessary for another waste water treatment plant to prevent the breakdown of the processes. Virtual reality seems to have become a strong solution for preventing waste management uncertainties and problems. This is not only due to high deformations but also to significant external disturbances that water systems are controlling challenges. Climate is among the most significant of such disturbances. Various environmental conditions actually include different influx frequencies and levels of substances. Water contamination has become one of the extremely serious growing conservation; sewage treatment plant identification is a key major issue here and the agencies enforce tighter requirements for the operating of wastewater software systems. This article plans to create models of achievement and prospects for the possible future guidance of recent research borders for the use of artificial intelligence in wastewater treatment plants which concurrently deal with pollutants. This study has shown us that the composite ANN provides a greater level of competence in plant prediction and systemization. Highlight Systematize of Wastewater Utilization Plants, Artificial Neural Networks, artificial intelligence, Prediction Analysis, Reliability.


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