Particulate Concentration Associated with Multiple Burn Units in Complex Terrain: A Numerical Study

This is the companion dataset for the &lt;a href="https://www.sciencedirect.com/journal/atmospheric-pollution-research"&gt;Atmospheric Pollution Research&lt;/a&gt; manuscript "Particulate Concentration Associated with Multiple Burn Units in Complex Terrain: A Numerical Study" (see "Related Publication" in Metadata). The contents of the dataset are described in detail in the document "00_README_master" and in the metadata below. The manuscript abstract is as follows: &lt;blockquote&gt; Smoke from low-intensity prescribed fires jeopardizes the health and safety of both on-the-ground fire personnel and nearby communities, mainly through compromised air quality and reduced visibility. Accurate prediction of smoke dispersion is crucial to prevent unintended, potentially hazardous smoke intrusions into populated areas. This work addresses three specific knowledge gaps that limit smoke prediction accuracy: (i) the influence of complex terrain on smoke behavior, (ii) the effects of multiple active burn units, and (iii) the role of buoyant plume rise. A previously-validated Lagrangian particle dispersion model is employed to simulate particle dispersion in and around a river gap through an eastern Pennsylvania ridgeline. A series of idealized simulations is conducted in which particles are released within five 1-km x 1-km release zones, with fifteen combinations of release zones and release depths (chosen to roughly represent the impact of hypothetical fires of increasing intensity on buoyant plume rise and plume height). Results show that particle concentration magnitude and distribution downwind of the river gap are nonlinearly related to the number and location of release zones. Furthermore, the relative contribution from an individual source to downstream concentration may vary depending on whether buoyant plume rise is substantial enough to distribute particles throughout or above the mixed layer or is negligible with only near-surface distribution of particles. Overall, the results suggest that downstream smoke concentration magnitude and distribution are linked to both the spatial arrangement of sources and the plume characteristics, highlighting the need for consideration of these factors in smoke management strategies. &lt;/blockquote&gt;本数据集为<a href="https://www.sciencedirect.com/journal/atmospheric-pollution-research">《Atmospheric Pollution Research》（大气污染研究）</a>期刊手稿《复杂地形下多焚烧单元关联颗粒物浓度：一项数值研究》（详见元数据中的"相关出版物"）的配套数据集。数据集的详细说明收录于文档"00_README_master"以及下述元数据内容中。该手稿的摘要如下： <blockquote> 低强度计划性受控焚烧产生的烟雾，主要通过恶化空气质量、降低能见度，威胁一线消防作业人员与周边社区的健康与安全。精准预测烟雾扩散过程，是防范烟雾意外侵入人口密集区域、规避潜在危险的关键。本研究针对三类制约烟雾预测精度的知识缺口展开探讨：其一，复杂地形对烟雾扩散行为的影响；其二，多个焚烧单元的作用；其三，浮力羽流抬升（buoyant plume rise）的角色。本研究采用经前期验证的拉格朗日粒子扩散模型（Lagrangian particle dispersion model），模拟宾夕法尼亚州东部山脊间河谷通道内及周边区域的粒子扩散过程。研究开展了一系列理想化模拟试验：在五个1千米×1千米的释放区域内释放粒子，并设置15种释放区域与释放深度的组合方案，该方案旨在近似表征不同强度假想火灾对浮力羽流抬升及羽流高度的影响。结果表明，河谷通道下游的颗粒物浓度量级与分布特征，与释放区域的数量及位置呈非线性相关关系。此外，单个排放源对下游浓度的相对贡献，可能取决于浮力羽流抬升是否足够显著——即能否将粒子扩散至混合层（mixed layer）全域或其上方，抑或仅能使粒子局限于近地表区域。整体而言，研究结果显示下游烟雾浓度的量级与分布，既与排放源的空间排布相关，也受羽流特性影响，这凸显了在烟雾管控策略中纳入上述两类因素的必要性。 </blockquote>