Dataset used in the study "Nationwide heat-related workability loss and adaptation measures: development of a geospatial tool to support work management in heat conditions"

This directory includes codes, input and output data of the study entitled “Nationwide heat-related workability loss and adaptation measures: development of a geospatial tool to support work management in heat conditions”. The attached code allows to calculate the workability loss occurred in Italy for workers performing different metabolic rate tasks (moderate and high) in summer (from June to August) during the period 2007-2019. According to the methodology implemented by Bröde et al. (2018), the workability loss was calculated in shade and sun conditions using hourly Wet Bulb Globe Temperature (WBGT) data obtained from downscaled procedure developed for Italy at 2.5 km spatial resolution (Capecchi et al., 2023). The average workability loss was obtained within each Italian plain municipality areas filtered by elevation data (under 300 m a.s.l.), combining several information about geographical areas (northern, central, southern and island municipalities) and the distance from the coastline. The input data are polygonal features (shapefile) of the Italian municipalities from the National Institute of Statistics (ISTAT, source: https://www.istat.it/en/). The output data are the municipality datasets, including the geographical classification and the workability loss information averaged on a ten-day basis (decade) for various 8-hour working time slots (5am-1pm; 6am-2pm; 7am-3pm; 8am-4pm; 9am-5pm): For further information about the output data structure, please read the “description_output_data.pdf” file in the output data folder. This work was funded by INAIL Research Plan 2022–2024 (ID 05), under Project WORKLIMATE 2.0 (Prot. N. 115715, April 18, 2023). Contacts Scientific coordinator, PhD Marco Morabito, e-mail: [e-mail] References Bröde, P., Fiala, D., Lemke, B., Kjellstrom, T. Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric. Int J Biometeorol. 62(3):331-345 (2018). https://doi.org/10.1007/s00484-017-1346-9 Capecchi, V., Pasi, F., Gozzini, B., Brandini, C. A convection-permitting and limited area model hindcast driven by ERA5 data: precipitation performances in Italy. Climate Dynamics 61, 1411-1437 (2023). https://doi.org/10.1007/s00382-022-06633-2本数据集目录包含题为《全国性热相关作业能力损失与适应措施：开发支持高温环境作业管理的地理空间工具》的研究代码、输入与输出数据。 附带代码可用于计算2007—2019年夏季（6—8月）意大利境内执行不同代谢率任务（中等与高强度）的劳动者的作业能力损失情况。 依据Bröde等人（2018年）提出的研究方法，本研究采用空间分辨率为2.5 km、专为意大利开发的降尺度数据集所提供的逐小时湿球黑球温度（Wet Bulb Globe Temperature, WBGT）数据，分别计算遮阳与日照环境下的作业能力损失（Capecchi等，2023）。 本研究基于经海拔数据筛选、海拔低于300米的意大利平原市镇区域，结合地理分区（北部、中部、南部及岛屿市镇）与距海岸线距离等多源信息，得到平均作业能力损失结果。 输入数据为意大利国家统计局（ISTAT）提供的意大利市镇多边形要素矢量文件（shapefile），数据源地址：https://www.istat.it/en/。 输出数据为市镇级数据集，包含地理分类信息，以及针对不同8小时作业时段（5:00—13:00；6:00—14:00；7:00—15:00；8:00—16:00；9:00—17:00）的旬均作业能力损失信息。 如需进一步了解输出数据结构，请查阅输出数据文件夹中的"description_output_data.pdf"文件。 本研究由INAIL研究计划2022—2024（项目编号05）资助，依托WORKLIMATE 2.0项目（文件编号：115715，2023年4月18日）完成。 联系方式 科学协调人：Marco Morabito博士，电子邮箱：[e-mail] 参考文献 Bröde, P., Fiala, D., Lemke, B., Kjellstrom, T. 热应激评估指标选择对温暖户外环境作业能力估算的影响. 国际生物气象学杂志, 62(3):331-345 (2018). https://doi.org/10.1007/s00484-017-1346-9 Capecchi, V., Pasi, F., Gozzini, B., Brandini, C. 基于ERA5数据驱动的对流显式有限区域模式后报：意大利区域降水性能评估. 气候动力学, 61, 1411-1437 (2023). https://doi.org/10.1007/s00382-022-06633-2