Assessments and application of low-cost sensors to study indoor air quality in layer facilities

IF 6.7 2区 环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Rowshon Afroz , Xinyang Guo , Chu-Wen Cheng , Sohaib Omar , V.L. Carney , Martin J. Zuidhof , Ran Zhao
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Abstract

Indoor poultry facilities often experience poor air quality due to intensive farming and restricted ventilation. Monitoring the air quality in these barns is crucial considering the health of both the birds and producers. Advancements in sensor technologies have led to the development of low-cost sensors (LCS) that can continuously monitor air pollutants. Even though most poultry facilities in Canada are indoors due to harsh winter weather conditions, there is a lack of indoor air quality (IAQ) studies. This study aimed to evaluate the field performance of the LCS network in a table egg farm in Canada, where the sensors were designed specifically for operating in dusty poultry facilities continuously. The LCS monitored IQA parameters such as particulate matter (PM), carbon dioxide (CO2), relative humidity, and temperature in real-time. By implementing a correction factor, the sensor data resulted in an agreement range of 80 ± 20% with a reference instrument. The study observed that PM concentration exceeded several thousand μg/m3, with PM10 at 5.5 × 104 ± 2.2 × 104 and PM2.5 at 6.3 × 103 ± 2.3 × 103, which was found to be most affected by the chicken activity and light regime. The IAQ parameters also exhibited a complex intercorrelation with each other, as well as the outdoor temperature and the building ventilation rate. Sensors were able to make observations that were found only with research-grade instruments in previous studies. Overall, the study showcases the potential of the LCS network as an affordable solution for environmental monitoring in poultry facilities.

Abstract Image

评估和应用低成本传感器研究层设施的室内空气质量
由于集约化养殖和通风受限,室内家禽设施的空气质量通常很差。考虑到禽类和生产者的健康,监测这些禽舍的空气质量至关重要。传感器技术的进步推动了可持续监测空气污染物的低成本传感器 (LCS) 的发展。尽管由于冬季气候条件恶劣,加拿大大多数家禽养殖设施都在室内,但却缺乏室内空气质量 (IAQ) 研究。本研究旨在评估 LCS 网络在加拿大一家餐桌蛋鸡养殖场的现场性能,该养殖场的传感器专为在多尘的家禽设施中连续运行而设计。LCS 实时监测微粒物质 (PM)、二氧化碳 (CO)、相对湿度和温度等 IQA 参数。通过使用校正因子,传感器数据与参考仪器的一致性范围为 80 ± 20%。研究发现,可吸入颗粒物的浓度超过几千克/米,其中可吸入颗粒物的浓度为 5.5 × 10 ± 2.2 × 10,可吸入颗粒物的浓度为 6.3 × 10 ± 2.3 × 10。室内空气质量参数之间以及与室外温度和建筑通风率之间也存在复杂的相互关系。传感器能够观测到以往研究中只有研究级仪器才能观测到的情况。总之,这项研究展示了 LCS 网络作为经济实惠的家禽设施环境监测解决方案的潜力。
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来源期刊
Environmental Technology & Innovation
Environmental Technology & Innovation Environmental Science-General Environmental Science
CiteScore
14.00
自引率
4.20%
发文量
435
审稿时长
74 days
期刊介绍: Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas. As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.
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