{"title":"工业区域气味时空分布及热点定位——以移动微传感车识别潜在排放源为例","authors":"Yu-Lun Tseng , Chung-Shin Yuan , Chiu-Ying Pan , Wen-Hsi Cheng","doi":"10.1016/j.apr.2025.102542","DOIUrl":null,"url":null,"abstract":"<div><div>This study utilized a micro-sensing device to identify the spatiotemporal distribution of sulfide (H<sub>2</sub>S), ammonia (NH<sub>3</sub>), and total volatile organic compounds (TVOCs) in an industrial park located at southern Taiwan. These devices were installed on a mobile vehicle and integrated with geographic information systems (GIS) and global positioning systems (GPS) for real-time environmental monitoring. The monitoring data were used to plot concentration contours with a SURFER mapping software for tracking emission sources. There was a composting facility to the northwest and two livestock farms to the north of the industrial park, which were estimated to be the sources of the high concentrations of H<sub>2</sub>S (360–600 ppb) and NH<sub>3</sub> (840–1500 ppb) in the northeastern region of the industrial area. Additionally, two large solvent recovery treatment factories in the northwest are emitting VOCs (180–1200 ppb), contributing to the odorous source of organic pollutants. The results successfully confirmed that the locations of odor complaints were highly correlated with the odor detection hotspots. Therefore, the mobile intelligent vehicle equipped with micro-sensing device can accurately position the locations of odor pollution and further assist environmental inspection agencies for pollution prevention.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102542"},"PeriodicalIF":3.9000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal distribution and hotspot positioning of odors in an industrial area: A case study on identifying potential emission sources using a mobile micro-sensing vehicle\",\"authors\":\"Yu-Lun Tseng , Chung-Shin Yuan , Chiu-Ying Pan , Wen-Hsi Cheng\",\"doi\":\"10.1016/j.apr.2025.102542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study utilized a micro-sensing device to identify the spatiotemporal distribution of sulfide (H<sub>2</sub>S), ammonia (NH<sub>3</sub>), and total volatile organic compounds (TVOCs) in an industrial park located at southern Taiwan. These devices were installed on a mobile vehicle and integrated with geographic information systems (GIS) and global positioning systems (GPS) for real-time environmental monitoring. The monitoring data were used to plot concentration contours with a SURFER mapping software for tracking emission sources. There was a composting facility to the northwest and two livestock farms to the north of the industrial park, which were estimated to be the sources of the high concentrations of H<sub>2</sub>S (360–600 ppb) and NH<sub>3</sub> (840–1500 ppb) in the northeastern region of the industrial area. Additionally, two large solvent recovery treatment factories in the northwest are emitting VOCs (180–1200 ppb), contributing to the odorous source of organic pollutants. The results successfully confirmed that the locations of odor complaints were highly correlated with the odor detection hotspots. Therefore, the mobile intelligent vehicle equipped with micro-sensing device can accurately position the locations of odor pollution and further assist environmental inspection agencies for pollution prevention.</div></div>\",\"PeriodicalId\":8604,\"journal\":{\"name\":\"Atmospheric Pollution Research\",\"volume\":\"16 7\",\"pages\":\"Article 102542\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1309104225001448\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104225001448","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatiotemporal distribution and hotspot positioning of odors in an industrial area: A case study on identifying potential emission sources using a mobile micro-sensing vehicle
This study utilized a micro-sensing device to identify the spatiotemporal distribution of sulfide (H2S), ammonia (NH3), and total volatile organic compounds (TVOCs) in an industrial park located at southern Taiwan. These devices were installed on a mobile vehicle and integrated with geographic information systems (GIS) and global positioning systems (GPS) for real-time environmental monitoring. The monitoring data were used to plot concentration contours with a SURFER mapping software for tracking emission sources. There was a composting facility to the northwest and two livestock farms to the north of the industrial park, which were estimated to be the sources of the high concentrations of H2S (360–600 ppb) and NH3 (840–1500 ppb) in the northeastern region of the industrial area. Additionally, two large solvent recovery treatment factories in the northwest are emitting VOCs (180–1200 ppb), contributing to the odorous source of organic pollutants. The results successfully confirmed that the locations of odor complaints were highly correlated with the odor detection hotspots. Therefore, the mobile intelligent vehicle equipped with micro-sensing device can accurately position the locations of odor pollution and further assist environmental inspection agencies for pollution prevention.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.