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阿格里蒙尼亚：意大利伦巴第地区的牲畜、气象和空气质量数据集。

Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy.

机构信息

University of Bergamo, Dept. of Economics, Via dei Caniana 2, 24127, Bergamo, Italy.

University of Torino, Dept. of Economics and Statistics, Lungo Dora Siena 100A, 10153, Torino, Italy.

出版信息

Sci Data. 2023 Mar 18;10(1):143. doi: 10.1038/s41597-023-02034-0.

DOI:10.1038/s41597-023-02034-0
PMID:36934159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10024000/
Abstract

The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that the agricultural sector has a significant impact on air quality. To support studies quantifying the role of the agricultural and livestock sectors on the Lombardy air quality, this paper presents a harmonised dataset containing daily values of air quality, weather, emissions, livestock, and land and soil use in the years 2016-2021, for the Lombardy region. The daily scale is obtained by averaging hourly data and interpolating other variables. In fact, the pollutant data come from the European Environmental Agency and the Lombardy Regional Environment Protection Agency, weather and emissions data from the European Copernicus programme, livestock data from the Italian zootechnical registry, and land and soil use data from the CORINE Land Cover project. The resulting dataset is designed to be used as is by those using air quality data for research.

摘要

由于空气流通不畅和排放水平高，意大利伦巴第地区的空气质量是欧洲污染最严重的地区之一。科学界普遍认为，农业部门对空气质量有重大影响。为了支持量化农业和畜牧业部门对伦巴第空气质量影响的研究，本文提供了一个包含空气质量、天气、排放、牲畜以及土地和土壤利用的综合数据集，数据时间范围为 2016 年至 2021 年，覆盖伦巴第地区。该数据集的日尺度是通过平均每小时数据并对其他变量进行插值获得的。实际上，污染物数据来自欧洲环境署和伦巴第地区环境保护局，天气和排放数据来自欧洲哥白尼计划，牲畜数据来自意大利动物饲养登记处，土地和土壤利用数据来自 CORINE 土地覆盖项目。该数据集旨在供那些使用空气质量数据进行研究的人直接使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/4efcccb2b8fe/41597_2023_2034_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/d205d58519d6/41597_2023_2034_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/d476e6034e5d/41597_2023_2034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/1762524b739a/41597_2023_2034_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/c3378dd34233/41597_2023_2034_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/4efcccb2b8fe/41597_2023_2034_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/d205d58519d6/41597_2023_2034_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/b56870cf05e2/41597_2023_2034_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/9af3ee4965ab/41597_2023_2034_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/fd0db94773e6/41597_2023_2034_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/87c1af6c1a0c/41597_2023_2034_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/ad6342623637/41597_2023_2034_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/d476e6034e5d/41597_2023_2034_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/1762524b739a/41597_2023_2034_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/fd517f04e1b6/41597_2023_2034_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/c3378dd34233/41597_2023_2034_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9774/10024676/4efcccb2b8fe/41597_2023_2034_Fig12_HTML.jpg

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