five

Replication data for: health and economic benefits of lowering Particulate Matter (PM) levels: scenarios for a Southern Brazilian metropolis

收藏
DataCite Commons2024-07-31 更新2025-04-17 收录
下载链接:
https://redu.unicamp.br/citation?persistentId=doi:10.25824/redu/QNNTZ3
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset compiles information on particulate matter (PM10 and PM2.5) concentrations in Florianópolis (SC) between 2018 and 2020. These data are derived from calculations performed using components from the MERRA-2 platform developed by NASA (GMAO, 2015). The equations used to calculate the pollutant concentrations are based on research conducted by Bali (2021) and Ryu and Min (2021). Based on these data, we conducted a Health Impact Assessment (HIA) in Florianópolis, as well as a health cost assessment. The spreadsheet includes a tab with raw data, including date of collection, particle size, and PM concentrations (µg/m³). Bali K, Dey S, Ganguly D (2021) Diurnal patterns in ambient PM2.5 exposure over India using MERRA-2 reanalysis data. Atmospheric Environment 248:118180. https://doi.org/10.1016/j.atmosenv.2020.118180 GMAO (Global Modeling and Assimilation Office) (2015) MERRA-2 tavg1_2d_aer_Nx: 2d,1-Hourly, Time-averaged, Single-Level, Assimilation, Aerosol Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/KLICLTZ8EM9D. Ryu Y-H, Min S-K (2021) Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations. Atmospheric Environment 246: 118062. https://doi.org/10.1016/j.atmosenv.2020.118062

本数据集汇编了2018至2020年间巴西弗洛里亚诺波利斯(SC)的颗粒物(PM10与PM2.5)浓度信息。 这些数据源自使用美国国家航空航天局(NASA)开发的MERRA-2平台组件进行的计算(GMAO,2015)。 计算污染物浓度所用的方程基于Bali(2021)以及Ryu和Min(2021)开展的研究。 基于这些数据,我们在弗洛里亚诺波利斯开展了健康影响评估(Health Impact Assessment, HIA)及健康成本评估。 该电子表格包含一个原始数据标签页,内容涵盖采集日期、颗粒物粒径及PM浓度(单位:µg/m³)。 Bali K、Dey S、Ganguly D(2021)。基于MERRA-2再分析数据的印度环境PM2.5暴露日变化模式。《大气环境》(Atmospheric Environment),248:118180。DOI:https://doi.org/10.1016/j.atmosenv.2020.118180 GMAO(全球建模与同化办公室,Global Modeling and Assimilation Office)(2015)。MERRA-2 tavg1_2d_aer_Nx:二维、逐小时、时间平均、单层次、同化、气溶胶诊断数据V5.12.4,美国马里兰州格林贝尔特,戈达德地球科学数据与信息服务中心(Goddard Earth Sciences Data and Information Services Center, GES DISC)。DOI:https://doi.org/10.5067/KLICLTZ8EM9D Ryu Y-H、Min S-K(2021)。韩国地区CAMS、TCR-2及MERRA-2大气成分再分析数据的长期评估:应用、意义与局限性洞察。《大气环境》,246:118062。DOI:https://doi.org/10.1016/j.atmosenv.2020.118180
提供机构:
Repositório de Dados de Pesquisa da Unicamp
创建时间:
2024-05-08
二维码
社区交流群
二维码
科研交流群
商业服务