Giulia Guerri, Alfonso Crisci, Valerio Capecchi, Michela Bonafede, Alessandro Marinaccio, Marco Morabito
{"title":"全国与热有关的可操作性损失和适应措施:开发地理空间工具,以支持热条件下的工作管理。","authors":"Giulia Guerri, Alfonso Crisci, Valerio Capecchi, Michela Bonafede, Alessandro Marinaccio, Marco Morabito","doi":"10.2486/indhealth.2025-0031","DOIUrl":null,"url":null,"abstract":"<p><p>Heat reduces labor productivity, leading employers to adjust work schedules. However, no international climate service exists for managing heat-related productivity losses. This study estimated summer workability loss (WL) across Italy for various 8-hr work shifts and integrated the data into a WebGIS tool providing municipal-level insights. Global ERA5 climatological data (2009-2017) was downscaled to a 2.5 km grid over Italy and the workability equation calculated WL for different shifts (5am-1pm, 6am-2pm, 7am-3pm, 8am-4pm, 9am-5pm). The data was integrated into the Google Earth Engine (GEE) App for improved visualization. Compared to WL for workers performing high metabolic rate tasks in the sun, WL decreased significantly (p<0.01) for moderate metabolic rate tasks in the sun (60%) and for high metabolic rate tasks in the shade (over 90%). Starting shifts earlier than 9am reduced WL: by 4% starting 1 hour earlier and nearly halving WL starting 4 hr earlier (5am). The GEE \"Worklimate 2.0 App\" (https://ee-worklimate.projects.earthengine.app/view/workabilityloss) visualizes these findings. This study shows that rescheduling work hours and providing shade can significantly reduce WL in Italy, though additional heat adaptation strategies are needed to fully mitigate WL. The GEE App is the first international climate service for analyzing heat-related WL across working shifts.</p>","PeriodicalId":13531,"journal":{"name":"Industrial Health","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nationwide heat-related workability loss and adaptation measures: development of a geospatial tool to support work management in heat conditions.\",\"authors\":\"Giulia Guerri, Alfonso Crisci, Valerio Capecchi, Michela Bonafede, Alessandro Marinaccio, Marco Morabito\",\"doi\":\"10.2486/indhealth.2025-0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Heat reduces labor productivity, leading employers to adjust work schedules. However, no international climate service exists for managing heat-related productivity losses. This study estimated summer workability loss (WL) across Italy for various 8-hr work shifts and integrated the data into a WebGIS tool providing municipal-level insights. Global ERA5 climatological data (2009-2017) was downscaled to a 2.5 km grid over Italy and the workability equation calculated WL for different shifts (5am-1pm, 6am-2pm, 7am-3pm, 8am-4pm, 9am-5pm). The data was integrated into the Google Earth Engine (GEE) App for improved visualization. Compared to WL for workers performing high metabolic rate tasks in the sun, WL decreased significantly (p<0.01) for moderate metabolic rate tasks in the sun (60%) and for high metabolic rate tasks in the shade (over 90%). Starting shifts earlier than 9am reduced WL: by 4% starting 1 hour earlier and nearly halving WL starting 4 hr earlier (5am). The GEE \\\"Worklimate 2.0 App\\\" (https://ee-worklimate.projects.earthengine.app/view/workabilityloss) visualizes these findings. This study shows that rescheduling work hours and providing shade can significantly reduce WL in Italy, though additional heat adaptation strategies are needed to fully mitigate WL. The GEE App is the first international climate service for analyzing heat-related WL across working shifts.</p>\",\"PeriodicalId\":13531,\"journal\":{\"name\":\"Industrial Health\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2486/indhealth.2025-0031\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2486/indhealth.2025-0031","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Nationwide heat-related workability loss and adaptation measures: development of a geospatial tool to support work management in heat conditions.
Heat reduces labor productivity, leading employers to adjust work schedules. However, no international climate service exists for managing heat-related productivity losses. This study estimated summer workability loss (WL) across Italy for various 8-hr work shifts and integrated the data into a WebGIS tool providing municipal-level insights. Global ERA5 climatological data (2009-2017) was downscaled to a 2.5 km grid over Italy and the workability equation calculated WL for different shifts (5am-1pm, 6am-2pm, 7am-3pm, 8am-4pm, 9am-5pm). The data was integrated into the Google Earth Engine (GEE) App for improved visualization. Compared to WL for workers performing high metabolic rate tasks in the sun, WL decreased significantly (p<0.01) for moderate metabolic rate tasks in the sun (60%) and for high metabolic rate tasks in the shade (over 90%). Starting shifts earlier than 9am reduced WL: by 4% starting 1 hour earlier and nearly halving WL starting 4 hr earlier (5am). The GEE "Worklimate 2.0 App" (https://ee-worklimate.projects.earthengine.app/view/workabilityloss) visualizes these findings. This study shows that rescheduling work hours and providing shade can significantly reduce WL in Italy, though additional heat adaptation strategies are needed to fully mitigate WL. The GEE App is the first international climate service for analyzing heat-related WL across working shifts.
期刊介绍:
INDUSTRIAL HEALTH covers all aspects of occupational medicine, ergonomics, industrial hygiene, engineering, safety and policy sciences. The journal helps promote solutions for the control and improvement of working conditions, and for the application of valuable research findings to the actual working environment.