Spatial and temporal variation of cooking-emitted particles in distinct zones using scanning mobility particle sizer and a network of low-cost sensors

Rubal Dhiman , Rajat Sharma , Akshat Jain , Anirudha Ambekar , Thaseem Thajudeen , Sarath K. Guttikunda
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Abstract

Exposure to ambient and household fine-particulate matter is identified as a substantial contributor to premature mortality in India, according to the Global Burden of Disease Studies. This study examines the impacts of typical Indian cooking practices on indoor air quality characteristics by monitoring the evolution of fine and ultrafine particle (UFP) concentration in the dining facility of a residential educational institute in India. The monitoring area was spread across the kitchen (zone 1) and the dining hall (zone 2). A combination of validated low-cost PM sensors (LCS), DustTrak8433, and Scanning Mobility Particle Sizer (SMPS) was utilized for real-time data acquisition while using Liquefied Petroleum Gas (LPG) as the cooking fuel. PM2.5 and UFP concentrations were monitored at 1.3 m and 1.8 m from the floor to assess the vertical variation of pollutants during cooking activities, including breakfast, lunch, and dinner, and processes such as preheating, reheating, stir-frying, and deep-frying. It was found that the prolonged cooking durations involved in high-heat cooking methods like stir-frying and deep-frying resulted in a rise in coarser UFP (300–550 nm) and PM2.5, causing a higher exposure to PM and UFP concentration. PM2.5 levels are higher at upper heights during typical cooking processes because of temperature-driven convection currents and hygroscopic growth of particles due to high humidity levels. Air exchange rates (AER) considerably varied by using chimneys and were low during the controlled (closed doors) compared to mixed ventilation (opened doors) conditions. The maximum AER was obtained during lunch (4.3–9.9 h−1) compared to breakfast (-7.8–6.8 h−1) and dinner (0.55–7.9 h−1). The decrement rate of PM2.5 inside zone 1 was highest during lunch (126 µgm−3 h−1), coinciding with the highest AER during mixed ventilation. It is recommended that improving ventilation and better design of the kitchen can reduce the exposure of PM and UFP in commercial and rural area kitchens.

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利用扫描流动粒子测定仪和低成本传感器网络测定不同区域烹饪排放粒子的时空变化
根据全球疾病负担研究(Global Burden of Disease Studies),暴露于环境和家庭细颗粒物被认为是导致印度人过早死亡的一个重要因素。本研究通过监测印度一所寄宿教育机构餐饮设施中细微和超细颗粒物(UFP)浓度的变化,研究了典型的印度烹饪方法对室内空气质量特性的影响。监测区域分布在厨房(1 区)和餐厅(2 区)。在使用液化石油气(LPG)作为烹饪燃料的同时,利用经过验证的低成本可吸入颗粒物传感器(LCS)、DustTrak8433 和扫描移动式颗粒测定仪(SMPS)进行实时数据采集。在距离地面 1.3 米和 1.8 米处监测 PM2.5 和 UFP 浓度,以评估烹饪活动(包括早餐、午餐和晚餐)以及预热、加热、炒菜和油炸等过程中污染物的垂直变化。研究发现,炒、炸等高热烹饪方法所涉及的烹饪持续时间较长,导致较粗的超细颗粒物(300-550 纳米)和 PM2.5 上升,使人们接触到更高浓度的可吸入颗粒物和超细颗粒物。在典型的烹饪过程中,由于温度驱动的对流和高湿度导致的颗粒吸湿性增长,上层高度的 PM2.5 水平较高。空气交换率(AER)因使用烟囱而有很大不同,与混合通风(开门)条件相比,控制通风(关门)条件下的空气交换率较低。与早餐(-7.8-6.8 h-1)和晚餐(0.55-7.9 h-1)相比,午餐(4.3-9.9 h-1)时的空气交换率最大。1 区内 PM2.5 的下降率在午餐期间最高(126 µgm-3 h-1),与混合通风期间的最高空气吸收率相吻合。建议改善厨房的通风和设计可以减少商业和农村地区厨房的 PM 和 UFP 暴露。
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