Ni in PM₁₀ can contribute to health problems such as cardiovascular mortality at low ambient concentrations, and in the UK is measured through the Heavy Metals Network. Localised concentrations of nickel in PM₁₀ have resulted in a Sheffield air quality monitoring station exceeding the EU target value of 20 ng/m³. Two localised sources of nickel have been identified; one relating to point source emissions, and one relating to fugitive dust emissions. Fugitive dust emissions from a Sheffield steelworks have therefore been assessed using a novel approach, with six months of sticky pad and PM₁₀ dust monitoring, and subsequent elemental characterisation of dust and control samples using ICP-OES and ICP-MS used to inform dust dispersion modelling. Three new fugitive dust source areas on-site were identified from the dust monitoring and characterisation results. Emission rates of Ni were estimated from each source, with adjustments made based on the dust monitoring and characterisation results. Dispersion modelling was undertaken using the new and existing Ni dust sources and results compared favourably to the previous study. Source apportionment of measured concentrations was investigated with regard to the modelling and characterisation results and showed that on-site fugitive dust sources were not significantly different to a fugitive nickel source identified in previous research. However, both source apportionment results and dust monitoring results show that Ni concentrations at the local monitoring station were not increased when fugitive emissions from the study site were highest, or when the winds from the south were most frequent, indicating that fugitive dust emissions that caused increased concentrations throughout this study period were derived from sources in the area other than the study site.

PM _10中的Ni可能会导致健康问题，例如在低环境浓度下导致心血管疾病的死亡，在英国，它是通过重金属网络进行测量的。PM ₁₀中镍的局部浓度导致Sheffield空气质量监测站超过了欧盟目标值20 ng / m ³。已经确定了两种镍的局部来源。一种与点源排放有关，另一种与扬尘排放有关。因此，使用一种新方法评估了谢菲尔德钢铁厂的逸散性粉尘，使用了六个月的粘垫和_10号纸使用ICP-OES和ICP-MS进行粉尘监测，以及随后对粉尘和控制样品进行元素表征，从而为粉尘扩散建模提供依据。从粉尘监测和表征结果中确定了三个新的逃逸粉尘现场来源区域。估计了每种来源的Ni排放率，并根据粉尘监测和表征结果进行了调整。使用新的和现有的镍粉尘源进行了色散建模，其结果与以前的研究相比具有优势。关于建模和表征结果，对所测量浓度的源分配进行了调查，结果表明，现场逸散粉尘源与先前研究中确定的逸散镍源没有显着差异。然而，