在弗林特山地区规定燃烧的最佳天气条件

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING Journal of the ASABE Pub Date : 2023-01-01 DOI:10.13031/ja.15422
D. S. Akinbile, Zifei Liu, Xiaomao Lin, Trisha L. Moore, Weixing Song
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引用次数: 0

摘要

在规定焚烧中,土地所有者的主观性受到太阳辐射和相对湿度的影响。土地所有者倾向于在云量较少的时候燃烧,这促进了臭氧的产生。建议的最佳天气条件将减少烟雾对臭氧的影响。摘要土地管理人员利用天气条件来确定什么时候气象条件和燃料条件适合规定的燃烧。本研究的目的是:1)表征气象参数的敏感性,识别与日常火灾活动相关的影响天气参数;2)确定最佳天气条件,以减轻弗林特山地区与规定火灾相关的烟雾影响。基于2003-2019年的历史数据,使用随机森林(RF)与Shapley加性解释(SHAP)值和Pearson相关性的机器学习技术来确定天气变量的相对重要性及其对弗林特山地区土地所有者焚烧决策的影响。结果表明,较少的云量在土地所有者对规定燃烧的决策中表现出优越的预测能力,并在很大程度上导致环境臭氧(O3)升高。我们发现,每个燃烧季节平均有6天提供了建议的最佳天气条件,云量从10%到55%不等。然而,在2003-2019年期间,62%的总燃烧面积发生在云量低于10%的情况下。通过将当前的燃烧情况改变为我们研究中提出的最佳天气条件,在大火天,70+ ppb O3发生的概率可以从35%降低到9%。关键词:云量,最佳天气条件,臭氧,规定燃烧
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Optimum Weather Conditions for Prescribed Burning in the Flint Hills Region
Highlights The subjectivity of landowner decisions in prescribed burning was influenced by solar radiation and relative humidity. Landowners preferred to burn when there was less cloud cover, which promoted O3 generation. Proposed optimum weather conditions will reduce the smoke impact on O3. Abstract. Land managers use weather conditions to determine when meteorological and fuel conditions are suitable for prescribed burning. The objectives of this study were: 1) to characterize meteorological parameters’ sensitivities and identify the influential weather parameters connected to daily fire activities; and 2) to identify optimum weather conditions that are practical for mitigating the smoke impact associated with prescribed fires in the Flint Hills region. Machine learning techniques using random forest (RF) with Shapley additive explanation (SHAP) values and Pearson correlation were used to identify the relative importance of weather variables and their impact on landowner burn decisions in the Flint Hills region based on historic data from 2003-2019. Results showed that less cloud cover demonstrated superior predictive power in landowner decisions for prescribed burning and largely resulted in elevated ambient ozone (O3). We found out that six days per burning season on average provided the proposed optimum weather conditions, where cloud cover ranged from 10+ to 55%. However, 62% of the total burned area occurred when the cloud cover was less than 10+% during 2003-2019. By changing the current burning occurrence to the proposed optimum weather conditions in our study, the probability of 70+ ppb O3 occurrence could be reduced from 35% to 9% on heavy fire days. Keywords: Cloud cover, Optimum weather conditions, Ozone, Prescribed burning.
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