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Time Series of Potential US Wildland Fire Smoke Exposures

机译：潜在的美国野蛮火灾烟雾曝光的时间序列

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As the threats of climate change become more immediate and persistent, there is a growing needfor datasets to document the burden of climate-related events and exposures on human healthover time. These data should be freely available, timely and long-running, spatially resolved, andconsistent. This data report presents a new dataset for understanding the potential burden ofsmoke related to wildland fires (wildfires) on communities across the United States since 2010.The dataset combines data from the National Oceanic and Atmospheric Administration’s (NOAA)Office of Satellite and Product Operations Hazard Mapping System’s Smoke Product (HMS Smoke)with United States Census Block Group Centers of Population to estimate potential exposures tolight, medium, and heavy categories of wildfire smoke. The result is a daily assignment of eachof the 220,334 2010 U.S Block Groups for each of the HMS Smoke categories and includes 2010Census population counts. This database can be used to identify populations potentially exposed towildfire smoke on a given day or to calculate the potential person-days of wildfire smoke exposurefor a specified period or spatial unit of interest. Using state, county or tract identifiers included inthe database, aggregation to these familiar units of the US Census topology can be accomplishedwithout the use of a geographic information system (GIS). This data report describes the datasetscombined to produce this potential wildfire exposure database and outlines some basic use casesand ideas for future work.
机译：随着气候变化的威胁变得更加立即和持续存在，数据集会越来越多，以记录与人类气候相关事件和暴露的气候相关事件的负担。这些数据应该是自由的，及时和长期运行，空间解决，和可信的。此数据报告提出了一个新的数据集，了解自2010年以来与美国社区上的社区相关的潜在负担。数据集将来自国家海洋和大气管理局（NOAA）卫星办公室办公室的数据结合了卫星和产品运营危险将系统的烟雾产品（HMS烟雾）与美国人口普查群集团人口中心估算潜在风险，中等和重型野火烟雾。结果是每个HMS冒烟类别的220,334 2010 U.S块组的每日分配。该数据库可用于识别群体在给定日期的潜在暴露的TowildFire烟雾或计算特定时期或空间单位的野火烟雾暴露的潜在人数。使用状态，县域或道路标识符包括Inthe数据库，可以通过使用地理信息系统（GIS）来完成对美国人口普查拓扑的这些熟悉单位的聚合。此数据报告描述了DataSetScombined以产生此潜在的野火曝光数据库，并概述了一些基本用例造成未来工作的思考。

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