In Nigeria, the Niger Delta region is faced with challenges
of oil and gas exploitation. These activities increasingly affect human,
aquatic life in the ocean, animals and the natural environment. Recent
advancements in technology have introduced unmanned aerial vehicles (UAVs),
commonly known as drones, as a viable and innovative solution to these
challenges. This study presents a novel approach for monitoring air pollution
with a drone and Internet of Things (IoT) technology. The specific objectives
include developing a drone-based system capable of capturing gas pollution
data, integrating various sensors to monitor environmental conditions and
detect air pollutants (harmful gases) and developing a communication system for
real-time data collection and dissemination. The design utilises sensors for
the detection of hazardous gases and an ESP8266 module for real-time data
transmission and cloud-based data presentation. The system facilitates
sustainable environmental studies by providing access to areas that are hard or
unsafe to reach, anytime. The research locations include Iko Town and
Ukpenekang communities in Eastern Obolo LGA, Akwa Ibom State, Nigeria. Data
collected during drone test flights was compared with traditional air quality
monitoring stations to evaluate accuracy. The results show an affordable method
for measurement of air quality in real time, especially in the challenging
areas that are affected by oil and gas exploration, production and refining
processes, such as the Niger Delta region of Nigeria. The findings demonstrate
the feasibility of using drones and IOT for real-time environmental monitoring
aimed at equipping researchers and policy makers with data to protect human
lives, public health and the environment. In the course of this study, minor
limitations were observed, including restricted flight duration and short
range. Future research will investigate advancements in long-range
communication protocols and the application of machine learning technology.
Author(s) Details
Bassey Okon
Department of Mechanical Engineering, Federal University of Technology,
Ikot Abasi, Nigeria.
Ubong Ukommi
Department of Electrical and Electronic Engineering, Akwa
Ibom State University, Ikot Akpaden, Nigeria.
Isaac Udoetor
Department of Electrical and Electronic Engineering, Akwa Ibom State
University, Ikot Akpaden, Nigeria.
Enobong Akanimo
Department of Electrical and Electronic Engineering, Akwa Ibom State
University, Ikot Akpaden, Nigeria.
Please see the book here :- https://doi.org/10.9734/bpi/erpra/v12/6960