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在环境处理设施中用于监测氨气、硫化氢和总挥发性有机化合物以及估计气味强度的经济高效传感器的现场应用。

Field application of cost-effective sensors for the monitoring of NH, HS, and TVOC in environmental treatment facilities and the estimation of odor intensity.

作者信息

Joo HungSoo, Han Sang-Woo, Lee Chun-Sang, Jang Hyun-Seop, Kim Sung-Tae, Han Jin-Seok

机构信息

Department of Environmental Engineering, Anyang University, Anyang-si, Gyeonggi-do, Korea.

Zero Emission Center, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Korea.

出版信息

J Air Waste Manag Assoc. 2023 Jan;73(1):50-64. doi: 10.1080/10962247.2022.2131652. Epub 2022 Nov 30.

Abstract

Odor is usually a complex mixture of various compounds. In many countries, odor complaints have been addressed using the air dilution olfactory method (ADOM) to reduce their malodor complaint. In this study, continuous monitoring of ammonia, hydrogen sulfide, and total volatile organic compounds (TVOC) using sensors was conducted in facilities for municipal and livestock wastewater treatment (LWT), and for food waste composting (FWC). Odor intensity was modeled by multivariate linear regression using sensor monitoring data with air dilution measured by the ADOM. In testing the performance of sensors in the lab, all three sensors showed acceptable values for linearity, accuracy, repeatability, lowest detection limit, and response time, so the sensors were acceptable for application in the field. In on-site real-time monitoring, the three sensors functioned well in the three environmental facilities during the testing period. Average ammonia and hydrogen sulfide concentrations were high in the LWT facility, while TVOC showed the highest concentration in the FWC facility. A longer sampling time is necessary for ammonia monitoring. Odor intensity from individual sensor data correlated well to complex odor measured by the ADOM. Finally, we suggest a protocol for field application of sensor monitoring and odor data reproduction.: We suggest a protocol for the field application of sensor monitoring and odor data estimation in this study. This study can be useful to a policy maker and field operator to reduce odor emission through the determination of a more effective treatment technology and removal pathway for individual odorants.

摘要

气味通常是各种化合物的复杂混合物。在许多国家,已采用空气稀释嗅觉法(ADOM)来处理气味投诉,以减少恶臭投诉。在本研究中,使用传感器对市政和畜禽废水处理(LWT)设施以及食物垃圾堆肥(FWC)设施中的氨、硫化氢和总挥发性有机化合物(TVOC)进行了连续监测。利用传感器监测数据和通过ADOM测量的空气稀释,通过多元线性回归对气味强度进行建模。在实验室测试传感器性能时,所有三种传感器在线性度、准确性、重复性、最低检测限和响应时间方面均显示出可接受的值,因此这些传感器可用于现场应用。在现场实时监测中,在测试期间,这三种传感器在三个环境设施中运行良好。LWT设施中的氨和硫化氢平均浓度较高,而FWC设施中的TVOC浓度最高。氨监测需要更长的采样时间。来自单个传感器数据的气味强度与通过ADOM测量的复杂气味相关性良好。最后,我们提出了传感器监测现场应用和气味数据再现的方案:在本研究中,我们提出了传感器监测现场应用和气味数据估计的方案。这项研究对于政策制定者和现场操作人员通过确定更有效的处理技术和针对单个气味剂的去除途径来减少气味排放可能是有用的。

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