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Academic literature on the topic 'Air quality modelling - Delhi NCR'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Air quality modelling - Delhi NCR"

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Chukkali, Surekha, Kritika Rastogi, Amritkant Mishra, Sonakshi Nayar, and Tanisha Gupta. "Impact of Urban Environmental Quality, Residential Satisfaction, and Personality on Quality of Life Among Residents of Delhi/NCR." ECS Transactions 107, no. 1 (April 24, 2022): 19875–87. http://dx.doi.org/10.1149/10701.19875ecst.

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Environmental quality and sustainability seek to preserve, enhance, and protect our environmental resources that directly aim at providing an amicable quality of life and sustainable development for the upcoming generations. Considering the hazardous environmental urban quality in Delhi NCR, air pollution is the topmost factor deteriorating the health of the population in general. The urban air database by WHO reports Delhi exceeding the maximum PM10 limit by almost 10-times at 292 μg/m3. Noticing that an individual's surroundings have an enormous value in human lives, the study aimed at understanding the impact of urban environmental quality, residential satisfaction, and personality on the quality of life among residents of Delhi NCR. In addition, we also track the environmental world views to attitudes on pro-environmental behavior in understanding sustainability. The results from the SEM model indicated that one index rise in RESS lead to a fall in quality of life by 0.029 point value, whereas one index rise in personality could enhance the quality of life by 0.15 point value. Pro-environmental behaviors and urban environmental factors did not showcase any significant impact on the quality of life.
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Kumar Gupta, Amit, Aashima Gupta, and Sunita Mahajan. "Air Pollution and Poor Air Quality in Delhi-NCR: Some Health Tips and Protective Measures." Acta Scientific Medical Sciences 3, no. 12 (November 13, 2019): 38–41. http://dx.doi.org/10.31080/asms.2019.03.0469.

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Garg, S., S. L. Sahdev, N. Mahajan, and N. Goel. "Driving through sustainable systems: a Study of Air Quality Index of Delhi during COVID-19 Pandemic." IOP Conference Series: Earth and Environmental Science 1084, no. 1 (October 1, 2022): 012018. http://dx.doi.org/10.1088/1755-1315/1084/1/012018.

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Abstract The impact of lockdown during covid-19 pandemic on air quality in terms of pollution was investigated in the Delhi/NCR region in this study. The National Air Quality Index (NAQI) uses air quality data for six pollutant measures (PM10, PM2.5, SO2, CO, NO2 and O3) from monitoring stations across the megacity to demonstrate the spatial pattern of air quality before and during the lockdown period due to pandemic. The objective of this study is to investigate the interrelationship among the various parameters the Pearson’s correlation analysis was conducted. The results found were able to demonstrate that during lockdown air quality was significantly improved. It was also found that among other pollutants, level of NO2 and CO have also declined during- lockdown phase. It was observed that during this period of lockdown, the air quality index on maximum number of days was found to be good and satisfactory in Delhi that was the clear indication of an improvement in air quality due to a reduction in pollution and emissions of vehicles and industries. It can be implemented to further work on parameters to improve the air quality in future.
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Chen, Ying, Oliver Wild, Edmund Ryan, Saroj Kumar Sahu, Douglas Lowe, Scott Archer-Nicholls, Yu Wang, et al. "Mitigation of PM<sub>2.5</sub> and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period." Atmospheric Chemistry and Physics 20, no. 1 (January 14, 2020): 499–514. http://dx.doi.org/10.5194/acp-20-499-2020.

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Abstract. Fine particulate matter (PM2.5) and surface ozone (O3) are major air pollutants in megacities such as Delhi, but the design of suitable mitigation strategies is challenging. Some strategies for reducing PM2.5 may have the notable side effect of increasing O3. Here, we demonstrate a numerical framework for investigating the impacts of mitigation strategies on both PM2.5 and O3 in Delhi. We use Gaussian process emulation to generate a computationally efficient surrogate for a regional air quality model (WRF-Chem). This allows us to perform global sensitivity analysis to identify the major sources of air pollution and to generate emission-sector-based pollutant response surfaces to inform mitigation policy development. Based on more than 100 000 emulation runs during the pre-monsoon period (peak O3 season), our global sensitivity analysis shows that local traffic emissions from the Delhi city region and regional transport of pollution emitted from the National Capital Region (NCR) surrounding Delhi are dominant factors influencing PM2.5 and O3 in Delhi. They together govern the O3 peak and PM2.5 concentration during daytime. Regional transport contributes about 80% of the PM2.5 variation during the night. Reducing traffic emissions in Delhi alone (e.g. by 50 %) would reduce PM2.5 by 15 %–20 % but lead to a 20 %–25 % increase in O3. However, we show that reducing NCR regional emissions by 25 %–30 % at the same time would further reduce PM2.5 by 5 %–10 % in Delhi and avoid the O3 increase. This study provides scientific evidence to support the need for joint coordination of controls on local and regional scales to achieve effective reduction in PM2.5 whilst minimising the risk of O3 increase in Delhi.
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Sharma, Nabin, Kalpana Patel, and Sarvan Kumar. "Comparison of the Air Quality within the Northern Region of India both During and After the Lockdown." Aug-Sept 2023, no. 35 (August 4, 2023): 1–6. http://dx.doi.org/10.55529/jeimp.35.1.6.

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The World Health Organization (WHO) declared COVID-19 a global pandemic due to the novel infectious coronavirus disease found in late 2019. Some positive impacts have been seen on the natural environment during the outbreak of COVID-19. In this study, we have tried to analyse the impact of lockdown on air quality at four major northern states of India (Delhi, Uttar Pradesh, Rajasthan, and Haryana) located in the National Capital Region (NCR). This study compared the variation in air pollutants during the first lockdown phase (25th March to 15th April) 2020 and after the lockdown phase (25th March to 15th April) 2022, including PM10, PM2.5, NO2, and SO2. The average concentration of PM10, PM2.5, NO2, and SO2 reduced by 70.43%, 64.7%, 66.37%, and 36.89% over National Capital Region (NCR) during the lockdown phase. A good pollution control plan can lead to significant improvements in air quality in the future, which should provide confidence to policymakers involved in developing air quality policies.
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Singh, Yogender, and Umesh Kulshrestha. "An Analysis of GRAP Task Force Directions for Improved AQI in Delhi during 2018." Current World Environment 15, no. 1 (March 23, 2020): 29–41. http://dx.doi.org/10.12944/cwe.15.1.06.

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Air quality has been a matter of public concern in Delhi. The concentration of Particulate Matters (PM2.5 and PM10) often surpasses the Indian National Ambient Air Quality Standards (NAAQS). This study is focused upon the evaluation of Environment Pollution (Prevention and Control) Authority (EPCAs) Graded Response Action Plan (GRAP) action during 2018 in terms of PM2.5 and NO2. In order to control air pollution sources in National Capital Region (NCR), the (EPCA) Environmental Pollution (Prevention and Control) Authority directed GRAP to advise the local industries and other sources of pollution to close their operations on particular dates whenever Air Quality Index (AQI) showed severe level. In this study, we have analyzed 24 hourly averaged Air Quality Index (AQI) data for the period September 2017 - January 2018 and September 2018 - January 2019 at two sites i.e. Delhi Technical University (DTU) and Income Tax Office (ITO) respectively. The GRAP results showed a significant decrease in AQI values of both after every order passed by GRAP task force. In general, the PM2.5 AQI values were always higher during year 2017-18 as compared to 2018-19 at both sites.
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Rastogi, Rohit, D. K. Chaturvedi, Mukund Rastogi, Saransh Chauhan, Vaibhav Aggarwal, Utkarsh Agarwal, and Richa Singh. "Surveillance of Air Quality and Measuring Effect of Homa Activity at Delhi, India." International Journal of Public and Private Perspectives on Healthcare, Culture, and the Environment 6, no. 1 (January 1, 2022): 1–19. http://dx.doi.org/10.4018/ijppphce.305451.

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The manuscript deals with the increasing pollution and vanishing of AQI in NCR region of India due to many factors like Parali (stubble) burning, traffic and pollution caused by factories to generate electricity by thermal power combustion. The Manuscript discusses the statistical effects of Indian Homa and Yajna process and its effect on curbing the pollution and improving AQI. It has been found that Yajna helps in purification of the environment and different AQI factors are improved by its continuous exercise for long time at a particular place. The python based data analysis has been presented to justify the problem statement and gadget and sensor based readings are produced in evidences. This paper is an attempt to convert the belief of one hundred thirty-eight crores Indians into practical and an evolutionary step towards Vedic sciences and natural prevention of Air-Pollutions. This is an effort to draw the attention of the masses and to bring into notice and consideration of this wonderful technique in front of the whole world.
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Krishan, Mrigank, Srinidhi Jha, Jew Das, Avantika Singh, Manish Kumar Goyal, and Chandrra Sekar. "Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India." Air Quality, Atmosphere & Health 12, no. 8 (April 17, 2019): 899–908. http://dx.doi.org/10.1007/s11869-019-00696-7.

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Sahu, Saroj Kumar, Poonam Mangaraj, and Gufran Beig. "Decadal growth in emission load of major air pollutants in Delhi." Earth System Science Data 15, no. 7 (July 26, 2023): 3183–202. http://dx.doi.org/10.5194/essd-15-3183-2023.

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Abstract. The Indian capital megacity of Delhi is reeling under deteriorating air quality, and control measures are not yielding any significant changes, mainly due to a poor understanding of sources of emissions; hence, priority option in mitigation planning is lacking. In this paper, we have made an attempt to develop a spatially resolved technological high-resolution gridded (∼0.4km×0.4km) emission inventory for eight major pollutants of the Delhi region where high-resolution activity data of all possible major and unattended minor sources are generated by organizing a mega-campaign involving hundreds of volunteers. It is for the first time that we are able to estimate the decadal growth in emissions of various pollutants by comparing newly developed 2020 emissions with SAFAR (System of Air Quality and Weather Forecasting and Research) emissions of 2010 using the identical methodology and quantum of activity data. The estimated annual emissions for PM2.5, PM10, CO, NOx, VOC, SO2, BC, and OC over the Delhi National Capital Region (NCR) are estimated to be 123.8, 243.6, 799.0, 488.9, 730.0, 425.8, 33.6, and 20.3 Gg yr−1, respectively, for the year 2020. The decadal growth (2010–2020) in PM2.5 and PM10 is found to be marginal at 31 % and 3 %, respectively. The maximum growth is found to be in the transport sector followed by the industrial and other sectors. Maximum decadal growth found for the pollutants BC, OC, and NOx is 57 %, 34 %, and 91 %, respectively. The decadal shift of sectorial emissions with changing policies is examined. The complete dataset is available on Zenodo at https://doi.org/10.5281/zenodo.7715595 (Sahu et al., 2023).
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Abdullah, Omar, Tahir Sufi, and Sanjeev Kumar. "Impact of Food and Beverage Quality and Service Quality Towards Customer Satisfaction and Customer Retention, A Study of Five-Star Hotels." International Journal of Professional Business Review 8, no. 5 (May 15, 2023): e01994. http://dx.doi.org/10.26668/businessreview/2023.v8i5.1994.

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Purpose: The objective of this study is to examine how customer happiness at five-star hotels is impacted by the quality of the F&B they receive and the services they receive, which in turn affects retention. Design/methodology/approach: A convenience sampling strategy was utilized to distribute a self-administrated survey to 386 guests who used the F&B services of five-star hotels in Delhi-NCR. The model and study's hypotheses were evaluated in this study using a structural assessment modelling methodology, with AMOS 20.0 serving as the evaluation tool. Findings: The outcomes of the study show that CS and its impact on customer retention are significantly and favorably influenced by quality of the cuisine and beverages, as good as the service. Theoretical framework: This study recognizes the magnitude of numerous customer satisfaction metrics from a managerial perspective to predict customer retention or re- purchase plans in the standpoint of a five-star eatery in Delhi. Managers should use this to assess their performance and gain a better grasp of the standard of F&B services. Research Implications: Since the current study was restricted to the capital city of India and because the responses may have been subjective, it cannot be said to be completely conclusive. The study shows, from a practitioner's perspective, that the F&B services departments of five-star hotels in New Delhi, India, have performed notably well in terms of the quality of their services and to categorize the regions of difference in provision and F&B product quality. Originality/Value: This study fills a research gap on customers' opinions on the provision of food and beverages in the food and beverage division of five-star hotels. It also advances knowledge of visitors' expectations and perceptions of the value of the F&B services.
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Book chapters on the topic "Air quality modelling - Delhi NCR"

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Gulia, Sunil, S. K. Goyal, and Rakesh Kumar. "Air Pollution Episode Analysis and Qualitative Evaluation of Proposed Control Measures in Delhi City." In Urban Air Quality Monitoring, Modelling and Human Exposure Assessment, 225–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5511-4_16.

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Arif, Mohammad, Rajesh Kumar, Shagufta Parveen, Kamlesh Kumar Singh, and Jagvir Singh. "Reduction in Environmental Pollution Due to Lockdown in the COVID-19 Pandemic." In Advances in Human Services and Public Health, 239–55. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7495-9.ch015.

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The Indian government imposed a countrywide lockdown on 25 March 2020 to contain the COVID-19 virus. The lockdown has led to a tremendous economic loss because of the closing of all industries and other activities. However, it has brought a brighter side to environmental quality improvement. This study assesses the influence of lockdown on Delhi-NCR's air and water quality. The earth system rejuvenated during the lockdown. An effort is made to understand the water quality of the Yamuna River in Delhi and the air quality of the Delhi-National Capital Region (Delhi NCR) during the lockdown. In the Yamuna River surrounding Delhi, a reduction of 1-10%, 33-66%, 51%, 45-90%, and 33-82%, respectively, in pH, EC, DO, BOD, and COD has been observed compared to the pre-lockdown. Similarly, the particulate matter concentration reduced by 31-53% in PM10 and 22-48% in PM2.5 during the lockdown of 2020 in comparison to the earlier years (2018 and 2019). Hence, the periodic lockdown has positively impacted the air and water quality in Delhi NCR.
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Conference papers on the topic "Air quality modelling - Delhi NCR"

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Goyal, Pramila, Dhirendra Mishra, and Anikender Kumar. "Air Quality Forecasting through Coupled Model over Delhi." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.802-010.

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