Masters Theses

Abstract

"The importance of indoor air quality (IAQ), especially concerning particulate matter (PM), has become increasingly recognized due to its substantial impact on public health. Individuals spend a significant portion of their time indoors, where PM concentrations can exceed that of outdoors, leading to potential adverse health effects ranging from immediate irritation to long-term respiratory and cardiovascular diseases. The dynamic nature of indoor environments, combined with the diversity of PM sources, presents considerable challenges for effective IAQ monitoring and management. Traditional approaches to IAQ assessment often fall short, lacking the granularity and immediacy required to address these challenges adequately.

This abstract proposes the development and deployment of advanced sensor networks as a transformative solution for real-time PM monitoring in indoor settings. These low-cost, high-sensitivity sensors enable continuous, high-resolution monitoring of PM concentrations, providing critical data for identifying pollution sources and taking timely action to mitigate exposure. The integration of sensor networks with building management systems allows for automated adjustments to ventilation and air purification strategies, directly responding to real-time IAQ data. Such an approach not only promises to enhance the health and well-being of indoor occupants by minimizing exposure to harmful PM but also contributes to energy efficiency by optimizing the operation of HVAC systems based on actual air quality conditions. Future advancements in sensor technology and smart building integration are anticipated to further refine IAQ monitoring capabilities, expanding the range of detectable pollutants, and improving accuracy" -- Abstract, p. iii

Advisor(s)

Wang, Yang

Committee Member(s)

Xu, Guang
Alsharoa, Ahmad

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Environmental Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2024

Pagination

vii, 60 pages

Note about bibliography

Includes_bibliographical_references_(pages 58-59)

Rights

©2024 Abdulrahman Bani , All Rights Reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12371

Electronic OCLC #

1460020814

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