使用无人机系统测量弗林特山地区规定的牧场燃烧产生的烟雾排放

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
Zifei Liu, Carolyn Baldwin, Douglas Watson, Jayson Prentice, Travis Balthazor, Md Ariful Haque
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引用次数: 0

摘要

在牧场规定的燃烧过程中使用UAS收集的烟雾样本用于开发牧场火灾的代表性烟雾排放因子。pm2.5和nox的头部火灾排放因子符合文献中火焰排放因子范围的低端。高温和高绝对湿度的结合导致烟雾中pm2.5和o3的含量更高。摘要规定焚烧是维持和改善牧场生态系统的重要生态过程。与规定燃烧有关的烟雾影响一直是激烈讨论和公众辩论的主题。本研究的目的是使用无人机系统(UAS)收集准确的烟雾排放数据,并利用这些数据开发堪萨斯州和俄克拉荷马州高草草原弗林特丘陵地区规定的牧场火灾的烟雾排放因子。发射因子将用于改进烟雾建模工具中使用的输入参数。在本研究中,我们选取了四种不同烧伤单位的烧伤处方。采用碳质量平衡法测定了烟气排放因子。头部火灾的平均排放因子为:PM 2.5, 11.3±10.8g/kg燃料;NO x为NO, 1.4±0.9 g/kg燃料;二氧化碳1569±28 g/kg燃料;ch4, 6.8±4.3 g/kg燃料;NMHC作为丙烷,3.3±2.5 g/kg燃料;VOC为丙烷,4.5±3.5 g/kg燃料。与顶火相比,背火产生的PM 2.5排放量更低,但nox和VOC排放量更高。与4月份的火灾相比,9月份生长季节火灾期间出现的绿色、高湿度植被导致了更大的头部火灾PM 2.5排放因子。一般来说,高气温和高绝对湿度的组合导致烟雾中的PM 2.5和o3高。在空气温度较低和绝对湿度较低的条件下进行规定的火灾,可以减少烟雾中PM 2.5和o3的产生,只要这些条件落在规定的燃烧范围内。关键词:碳质量平衡,无人机,火,草,臭氧,牧场,规定燃烧,牧场管理,牧场,烟雾排放因子,高草草原,无人机系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Smoke Emissions from Prescribed Rangeland Burning in the Flint Hills Region Using Unmanned Aircraft Systems
Highlights Smoke samples collected with UAS during rangeland prescribed burns were used to develop representative smoke emission factors for rangeland fires. The head fire emission factors of PM 2.5 and NO x were consistent with the low end of the range of flaming emission factors in the literature. The combination of high air temperatures and high absolute humidity resulted in higher levels of PM 2.5 and O 3 in smoke. Abstract. Prescribed burning is an ecological process critical to maintaining and improving rangeland ecosystems. Smoke impacts related to prescribed burning have been the subject of intense discussion and public debate. The objectives of this study were to collect accurate smoke emissions data using unmanned aircraft systems (UAS) and use the data to develop smoke emission factors representative of prescribed rangeland fires in the tallgrass prairie Flint Hills region of Kansas and Oklahoma. The emission factors will be used to improve the input parameters used in smoke modeling tools. Four prescribed burns on unique burn units were sampled for this study. Smoke emission factors were determined using the carbon mass balance method. Average emission factors for head fires were: PM 2.5 , 11.3±10.8g/kg fuel; NO x as NO, 1.4±0.9 g/kg fuel; CO 2 , 1569±28 g/kg fuel; CH 4 , 6.8±4.3 g/kg fuel; NMHC as propane, 3.3±2.5 g/kg fuel; and VOC as propane, 4.5±3.5 g/kg fuel. Compared with head fires, back fires tended to produce lower emissions of PM 2.5 but higher emissions of NO x and VOC. Green, high-moisture vegetation present during the growing season fires in September resulted in a larger head fire PM 2.5 emission factor compared to April fires. Generally, the combination of high air temperature and high absolute humidity resulted in high PM 2.5 and O 3 in smoke. Conducting prescribed fires under conditions of cool air temperature and low absolute humidity can reduce the generation of PM 2.5 and O 3 in smoke, as long as these conditions fall within the prescribed range for the burn. Keywords: Carbon mass balance, Drone, Fire, Grass, Ozone, Pasture, Prescribed burning, Rangeland management, Rangelands, Smoke emission factor, Tallgrass prairie, Unmanned aircraft system.
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