3 results match your criteria: "India. sarbani.roy@jadavpuruniversity.in.[Affiliation]"
Spatial and seasonal association study between and related contributing factors in India.
Environ Monit Assess
November 2024
Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India.
Article Synopsis
- Global environmental pollution and climate change are pressing issues, with significant variations in pollution levels noted due to industrialization, urbanization, and seasonal festivities.
- The study focuses on understanding the relationship between particulate matter (PM) and various factors like socio-demographics, meteorological conditions, and other air pollutants using advanced statistical models.
- Key findings reveal a strong negative correlation between forest coverage and PM pollution in northern India, particularly highlighting increasing PM levels during colder seasons in regions like Delhi and Haryana over the year studied.
Pollutant specific optimal deep learning and statistical model building for air quality forecasting.
Environ Pollut
May 2022
Department of Computer Science and Engineering, Jadavpur University, India. Electronic address:
Poor air quality is becoming a critical environmental concern in different countries over the last several years. Most of the air pollutants have serious consequences on human health and wellbeing. In this context, efficient forecasting of air pollutants is currently crucial to predict future events with a view to taking corrective actions and framing effective environmental policies.
View Article and Find Full Text PDFGeographically varying relationships of COVID-19 mortality with different factors in India.
Sci Rep
April 2021
Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India.
COVID-19 is a global crisis where India is going to be one of the most heavily affected countries. The variability in the distribution of COVID-19-related health outcomes might be related to many underlying variables, including demographic, socioeconomic, or environmental pollution related factors. The global and local models can be utilized to explore such relations.
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