High-resolution emission inventory of full-volatility organic from cooking souce in China during 2015-2021
收藏Figshare2023-07-14 更新2026-04-08 收录
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https://figshare.com/articles/dataset/High-resolution_emission_inventory_of_full-volatility_organic_from_cooking_souce_in_China_during_2015-2021/23537673/1
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资源简介:
We have compiled high-resolution emission inventory of full-volatility organic from cooking souce in mainland China from 2015 to 2021. This dataset provides multi-dimensional, multi-resolution emissions for anaylsis and application. First, the dataset provide provincial-level emissions by year, province, subsectors and volatility bin in the xlsx file. - The emissions are all in kt/y. - The years include every year from 2015-2021. - The provinces cover all 31 provinces of mainland China. - The subsectors include cuisine-specific commercial cooking (The nine cuisines are home-style cuisine, Chinese fast food and snacks, hotpot, barbecue, Sichuan-Hunan cuisine, Guangdong-Fujian cuisine, Jiangsu-Zhejiang cuisine, other Chinese cuisines and non-Chinese cuisines.), home cooking, and canteen cooking. -The volatility range is expressed as log10<em>C</em>* (μg/m3), with values of ≤-2, -1,0,1,2,3,4,5,6,≥7. For the commercial cooking emissions with point-source resolution, the dataset report the emission amount by volatility bin, location (longitude and latitude), cuisine type and province of every commercial restaurant in China in 2021 in the csv file. To meet the requirements of the atmospheric chemical transport model, we also provide gridded emissions in China in 2021, at a resolution of 27 km × 27 km, by four volatility ranges and three types of cooking sources, in the txt files. Each column represents one of the cooking sources, and each row represents a grid. The grids are arranged in a row-base order starting at the left-bottom corner of the mesh (i.e. the first row in the file represents the grid emissions of the first row and first column in the south-west corner, the second row in the file represents the grid emissions of the first row and second column, and so on). The emissions are all in t/km2/yr. The file GRIDCRO2D_cn27 provide the geographic information of the grid. This file is generated by MCIP based on WRF simulation.
本数据集编译了2015至2021年中国大陆地区餐饮源全挥发性有机物的高分辨率排放清单。本数据集提供多维度、多分辨率的排放数据,用于分析与应用。
其一,XLSX格式文件中包含按年份、省份、子行业及挥发性区间划分的省级尺度排放数据:
- 排放单位均为千吨每年(kt/y);
- 时间跨度覆盖2015至2021年全部年份;
- 省份涵盖中国大陆全部31个省级行政区;
- 子行业包含:针对特定菜系的商业餐饮(九大类菜系分别为家常菜、中式快餐与小吃、火锅、烧烤、川湘菜、闽粤菜、江浙菜、其他中餐菜系及非中餐菜系)、家庭烹饪及食堂烹饪;
- 挥发性区间以log₁₀C* (μg/m³)表示,区间取值为≤-2、-1、0、1、2、3、4、5、6及≥7。
其二,针对具有点源分辨率的商业餐饮排放,CSV格式文件提供了2021年中国大陆境内每家餐饮门店按挥发性区间、地理位置(经纬度)、菜系类型及所属省份划分的排放量数据。
为满足大气化学传输模型的使用需求,本数据集同时提供2021年中国大陆地区的网格化排放数据,分辨率为27 km × 27 km,按四类挥发性区间及三类餐饮源类型划分,存储于TXT格式文件中。其中,每一列对应一类餐饮源,每一行对应一个网格单元。网格采用从网格左下角(即西南角)开始的行优先排列规则:文件第一行对应网格第一行第一列(西南角)的排放数据,第二行对应网格第一行第二列的排放数据,依此类推。所有网格化排放数据单位均为吨每平方公里每年(t/km²/yr)。
文件GRIDCRO2D_cn27包含该网格化数据的地理信息,该文件由MCIP基于WRF模拟生成。
提供机构:
Li, Zeqi; Chang, Xing; Huang, Lyuyin; Liang, Chengrui; Wang, Xiaochun; Zheng, Haotian; Zhang, Fenfen; Huang, Guanghan; Song, Qian; Wang, Shuxiao; zhu, yun; Wu, Qingru; Zhao, Bin; Li, Shengyue
创建时间:
2023-07-14



