Impact of COVID-19 Lockdown Measures on Air Quality in Khyber Pakhtunkhwa Province: A Google Earth Engine Based Study
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 4
Abstract
Air pollution poses a critical challenge to urban sustainability and public health. The COVID-19 lockdown created a unique opportunity to study the effects of reduced human and industrial activities on air quality. In rapidly urbanizing regions, such as Khyber Pakhtunkhwa, the concentration of pollutants like Carbon Monoxide (CO), Nitrogen Dioxide (NO2), and Sulfur Dioxide (SO2) has escalated, threatening public health. This study utilizes Google Earth Engine (GEE) and Sentinel-5P TROPOMI satellite data to assess changes in NO2, CO, and SO2 levels during Pakistan's nationwide COVID-19 lockdown. Results show a significant reduction in pollutant levels, offering insights for developing long-term air quality improvement strategies and policies to mitigate respiratory health risks.
Authors and Affiliations
Shehla Gul, Sumbel Hafeez, Shahla Nazneen, Eesha Afridi, Uzair Ahmad, Rafiq Ali Khan
Potential Challenges and Solutions for Implementing NOMA in Smart Grid
Efficient two-way communication is crucial for Smart Grid (SG) networks, enabling real-time monitoring, data collection, and control. This study introduces the novel integration of NonOrthogonal Multiple Access (NOMA)...
Applying Agile Principles and Methods in Industries Outside IT Landscape: A Systematic Literature Review
Agile methods have become increasingly popular in various industries because of many benefits over the common waterfall like methodologies. Whereas, there are still many issues and uncertainties faced by co-workers, or...
Physio-Mechanical and Petrographic Characteristics of Granitic Rocks from the Demote Valley, Gilgit, Pakistan: Implications for Strength and Bearing Capacity
The granitic rocks of the Damote Valley (Juglote Group, Kohistan Batholith) were evaluated for their physio-mechanical and petrographic properties to assess their suitability for construction, particularly as dimension...
Gender-Based Analysis of Employee Attrition Prediction Using Machine Learning
Employee turnover is a significant problem in organizations because it comes with productivity and cost implications. This paper focuses on predicting employee turnover using machine learning techniques that incorporat...
Codebook-Based Feature Engineering for Human Activity Recognition Using Multimodal Sensory Data
Recently, Human Activity Recognition (HAR) using sensory data from various devices has become increasingly vital in fields like healthcare, elderly care, and smart home systems. However, many existing HAR systems face...