scholarly journals Utilization of crop stubble as alternate source of electricity generation

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Sourabh Singh Chandel ◽  
Era Upadhyay

The states of India including Uttar Pradesh, Punjab, Haryana, Bihar, Madhya Pradesh, and Himachal Pradesh follow combine harvesting method followed by burning of crop stubble to clear the fields for next crop. Crop stubble burning is the reason of annual increment in pollution concentrations which lead to massive winter pollution in the region. However, several initiatives for its proper management have been taken up by various departments and institutions of the states’ government but still air pollution level is increasing. Instead of burning the crop residue, it can be used in other ways, which are beneficial to humanity. Keeping in view the increasing problems associated with the crop stubble burning in the state of Punjab, we have taken some steps towards exploring alternative uses of straw instead of burning. This study is an attempt to outline alternative use like use of rice straw for generation of electricity through microbial fuel cell. With the help of this crop stubble, electricity can be produced, and it can be used as a sustainable source of energy in the remote areas. This study underscores the importance of rice straw as a potential source of biomass for recovering energy through MFCs. It is also focused on suggesting policies to the government so that air pollution can be minimized in affected areas. 

Author(s):  
Rohit Rastogi ◽  
Devendra K. Chaturvedi ◽  
Mamta Saxena ◽  
Mayank Gupta ◽  
Parul Singhal ◽  
...  

We all are living in such a world where the pollution and global warming are threats. Every year in India, at the time of festival seasons of Dussehra and Deewali, the smog and pollution are so much that millions of people suffer from different health issues. Also, the farmers of Punjab and Hariyana burn the Parali of their crops due to less awareness, and it becomes a challenge in the national capital, Delhi, to breathe. The government invests resources and the vehicles are allowed as per their even odd numbers. The authors team, including government officials, educationists, academicians, and students, along with IT experts, performed significant experiments on the ancient Indian Vedic science of Yajna and Mantra, and they found surprising results in the reduction of pollution on respective days. The chapter is an effort to present that scientific study conducted in 2018 and 2019 in random days after doing Yajna, and it was found that the pollution level was drastically decreased.


2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Mukul Sain

India is the second-largest producer of rice, which plays an important role in the GDP of the nation, but the burning of rice straw is one of the most severe issues, which the country is facing. The government has tightly regulated this practice, and the farmers are usually advised to incorporate the residue in the soil, but this management option is minimal because of its slow degradation properties in the soil and may also foster rice diseases. A lot of lab-scale and commercial research studies have been conducted on rice straw-based nanocomposites, but rice straw-based bioplastic is a much superior latest technology that is not much explored. Only a few researchers have worked on making biodegradable bioplastic packaging materials from rice straw. The developed technology not only eradicates the pollution problems caused because of stubble burning but also resolves the problem of synthetic plastic packs, which is another major issue worldwide as 40% of the total plastic is used in food packaging. The current study is aimed to explore the feasibility of this agricultural residue to get converted into useful biodegradable packaging materials that can work for agroecological and sustainable development.


Author(s):  
Mohd Ashraf., Niket., Devender & Dr. Vinod Kumar

Air pollution is an issue that is out of the control of an average citizen. Controlling air pollution requires preventive and control measures on a large scale implemented by the government. However, what an individual can dois protect him/her from the harmful effects of pollution by taking precautions such as not going out in times of severe pollution or wearing an air mask when travelling out. It will be very helpful if a person is able to find out the pollution level around him. Government provides measures of pollution in terms of AIR QUALITY INDEX (AQI). However this is provided only at certain centre places. AQI may change drastically between these centres. In this report, an effort was made to solve this problem by enabling an individual to find an estimate of the Air Quality Index near them with their smartphone, even without an Internet connection, by simply clicking an image of their surroundings. Using this information a person can take preventive measures to take care of his health. This will not only spread awareness about air pollution but also protect people from the harmful effects of air pollution. We have used Machine Learning to achieve this goal. We prepared a dataset of images of sky and trained a model using several algorithms and compared them. We then used this model to recognise almost accurate AQI of the surroundings.


2017 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Papontee Teeraphan

Pollution is currently a significant issue arising awareness throughout the world. In Thailand, pollution can often be seen in any part of the country. Air pollution is pointed as an urgent problem. This pollution has not damaged only to human health and lives, it has destroyed environment, and possibly leading to violence. In Phattalung, air pollution is affecting to the residents’ lives. Especially, when the residents who are mostly agriculturists have not managed the waste resulted from the farm. In Phattalung, at the moment, there are many pig farms, big and small. Some of them are only for consuming for a family, some, however, are being consumed for the business which pigs will be later purchased by big business companies. Therefore, concerning pollution, the researcher and the fund giver were keen to focus on the points of the air pollution of the small pig farms. This is because it has been said that those farms have not been aware on the pollution issue caused by the farms. Farm odor is very interesting which can probably lead to following problems. The researcher also hopes that this research can be used as a source of information by the government offices in order to be made even as a policy or a proper legal measurement. As the results, the study shows that, first, more than half of the samples had smelled the farm odor located nearby their communities, though it had not caused many offenses. Second, the majority had decided not to act or response in order to solve the odor problem, but some of them had informed the officers. The proper solutions in reducing offenses caused by pig farm odor were negotiation and mediation. Last, the majority does not perceive about the process under the Public Health Act B.E. 2535.


2018 ◽  
Vol 24 (1) ◽  
Author(s):  
V. S. CHAUHAN ◽  
BHANUMATI SINGH ◽  
SHREE GANESH ◽  
JAMSHED ZAIDI

Studies on air pollution in large cities of India showed that ambient air pollution concentrations are at such levels where serious health effects are possible. This paper presents overview on the status of air quality index (AQI) of Jhansi city by using multivariate statistical techniques. This base line data can help governmental and non-governmental organizations for the management of air pollution.


2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Angelo Solimini ◽  
F. Filipponi ◽  
D. Alunni Fegatelli ◽  
B. Caputo ◽  
C. M. De Marco ◽  
...  

AbstractEvidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM10, PM2.5), after adjusting for relevant regional and country level covariates and spatial correlation. In total we collected 237,749 Covid-19 cases from 730 regions, 63 countries and 5 continents at May 30, 2020. A 10 μg/m3 increase of pollution level was associated with 8.1% (95% CI 5.4%, 10.5%) and 11.5% (95% CI 7.8%, 14.9%) increases in the number of cases in a 14 days window, for PM2.5 and PM10 respectively. We found an association between Covid-19 cases and air pollution suggestive of a possible causal link among particulate matter levels and incidence of COVID-19.


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