Impact of COVID-19 Lockdown Measures on Air Quality in Khyber Pakhtunkhwa Province: A Google Earth Engine Based Study

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

Keywords

Related Articles

Recurrent Neural Network and Multi-Factor Feature Filtering for Ransomware Detection in Android Apps

The market is flooded with Android Software (apps), and at the same time that number is growing quickly, and so are the many security exploits that take advantage of such apps. The effectiveness of traditional defensiv...

AI-Driven Control and Processing System for Smart Homes with Solar Energy

In recent years, the utilization of solar energy has grabbed attention in the industrial and domestic zones. The existing systems to use the services of solar cells are conventional. These systems require parameters (...

Image Compression Exploration using Discrete Wavelets Transform Families and Level

This analysis paper is based on Discrete Wavelets Transform (DWT) for image compression using wavelets families and levels. The DW transforms the image or data into frequency components that match its resolution scale...

A Dynamic Architecture to Control Multi-Rotors Using Hand Gestures

Traditional methods for controlling multi-rotors typically involve joysticks, radio controllers, and mobile applications. However, these methods pose significant challenges, particularly for novice users like farmers,...

Bitcoin Price Forecasting: A Comparative Study of Machine Learning, Statistical and Deep Learning Models

Introduction/Importance of Study: Cryptocurrency price prediction is crucial for investors and researchers, given the market's nonlinear nature and the potential for significant financial implications. Novelty: This...

Download PDF file
  • EP ID EP760546
  • DOI -
  • Views 16
  • Downloads 0

How To Cite

Shehla Gul, Sumbel Hafeez, Shahla Nazneen, Eesha Afridi, Uzair Ahmad, Rafiq Ali Khan (2024). Impact of COVID-19 Lockdown Measures on Air Quality in Khyber Pakhtunkhwa Province: A Google Earth Engine Based Study. International Journal of Innovations in Science and Technology, 6(4), -. https://europub.co.uk./articles/-A-760546