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首页> 外文期刊>Journal of occupational and environmental hygiene >Selecting a lead hazard control strategy based on dust lead loading and housing condition: I. Methods and results.
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Selecting a lead hazard control strategy based on dust lead loading and housing condition: I. Methods and results.

机译:根据粉尘铅的负荷和外壳状况选择铅危害控制策略:I.方法和结果。

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A methodology was developed to classify housing conditions and interior dust lead loadings, using them to predict the relative effectiveness of different lead-based paint hazard control interventions. A companion article in this issue describes how the methodology can be applied. Data from the National Evaluation of the HUD Lead Hazard Control Grant Program, which covered more than 2800 homes in 11 U.S. states, were used. Half these homes (1417) met the study's inclusion criteria. Interior interventions ranged from professional cleaning with spot painting to lead abatement on windows, and enclosure, encapsulation, or removal of other leaded building components. Modeling was used to develop a visual Housing Assessment Tool (HAT), which was then used to predict relative intervention effectiveness for a range of intervention intensities and baseline floor and windowsill dust lead loadings in occupied dwellings. More than 117,000 potential HATs were considered. To be deemed successful, potential HATs were required to meet these criteria: (1) the effect of interior strategy had to differ for HAT ratings of good vs. poor building condition and/or baseline dust lead loadings; (2) the HAT rating had to be a predictor of one year post-intervention loadings; (3) interior intervention strategy had to be a predictor of one-year loadings; (4) higher baseline loadings could not be associated with lower one-year loadings; and (5) neither exterior work nor site/soil work could result in higher predicted one-year loadings for either HAT rating. Of the 1299 HATs that met these criteria, one was selected because it had the most significant differences between strategy intensities when floors and sills were considered together. For the selected HAT, site/soil work was a predictor of one-year loadings for floors (p = 0.009) but not for sills (p = 0.424). Hazard control work on the building exterior was a predictor of both sill and floor one-year loadings (p = 0.004 and p < 0.001, respectively). Regardless of the type of interior intervention strategy, interior work was a predictor of both floor and sill one-year loadings (each p < or = 0.001).
机译:开发了一种方法来对房屋条件和室内粉尘铅含量进行分类,并使用它们来预测不同基于铅的油漆危害控制干预措施的相对有效性。本期的配套文章介绍了如何应用该方法。使用了来自HUD铅危害控制补助计划的国家评估的数据,该数据涵盖了美国11个州的2800多个房屋。这些房屋中有一半(1417)符合研究的纳入标准。内部干预的范围从专业清洁到点漆到在窗户上减少铅,封闭,封装或去除其他含铅建筑组件。该模型用于开发可视化房屋评估工具(HAT),然后用于预测一系列干预强度以及基线,地板和窗台灰尘铅在被占用住宅中的相对干预效果。考虑了超过117,000个潜在的HAT。为了被认为是成功的,需要满足这些标准的潜在的HAT:(1)室内策略的效果对于好与坏建筑条件和/或基线粉尘铅负荷的HAT等级必须有所不同; (2)HAT等级必须是干预后一年负荷的预测指标; (3)内部干预策略必须预测一年的负荷; (4)较高的基准负荷不能与较低的一年负荷相关联; (5)无论是外部工作还是现场/土壤工作都不会导致HAT等级的较高的预计一年负荷。在满足这些标准的1299个HAT中,选择一个是因为当同时考虑地板和窗台时,其策略强度之间存在最大差异。对于所选的HAT,工地/土壤工作量是地板一年荷载的预测因子(p = 0.009),而不是窗台(p = 0.424)。建筑物外部的危害控制工作既是门槛和地板一年负荷的预测指标(分别为p = 0.004和p <0.001)。无论内部干预策略的类型如何,内部工作都是地板和窗台一年负荷的预测指标(每个p <或= 0.001)。

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