遇见数据集

data availability for international journal of environment research for public and health

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Mendeley Data2026-04-18 收录
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Data are fuel consumption, Municipal Solid Waste production, industrial production, population, Gross Domestic Product, number of motorized vehicles, SOx or SO2 emission factors, and the sulfur content in fuel. These data were gathered from the book of "Jakarta in figure", "Environment Statistics of Indonesia", "Statistical Year of Indonesia", “Energy Information Center Ministry of Energy and Mineral Resources, 2004”, “EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016”, “Handbook of energy & economic statistics of Indonesia”, the decree of general director of oil and gas of the Indonesia Republic, the web site of Downstream Regulatory Agency of Oil and Gas, the web site of Jakarta province official portal, the web site of Central Bureau of Statistics, Fifth edition of AP-42, request results data to the General Directorate of Oil and Gas of Indonesia Republic, request results data to the Jakarta Province's industry and energy department. To predict data from 2018 to 2050, the author uses data or SO2 emission as a function of time, population, or GDP. The author calculated SO2 emission from its source by using equations in the theoretical basic section. By multiplying the rate of activity with factor emission, anyone can get SO2 emission. Here, the activity rate is fuel consumption, and so on.

本数据集涵盖燃油消耗量、城市固体废物产生量、工业产值、人口、国内生产总值(Gross Domestic Product)、机动车保有量、硫氧化物(SOx)或二氧化硫(SO2)排放因子,以及燃料硫含量。相关数据来源于以下渠道:《雅加达数据图集》(Jakarta in figure)、《印度尼西亚环境统计年鉴》(Environment Statistics of Indonesia)、《印度尼西亚统计年鉴》(Statistical Year of Indonesia)、2004年印度尼西亚能源与矿产资源部能源信息中心资料、《EMEP/EEA空气污染物排放清单指南2016版——2016年11月更新》(EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016)、《印度尼西亚能源与经济统计手册》(Handbook of energy & economic statistics of Indonesia)、印度尼西亚共和国石油与天然气总局发布的法令、石油与天然气下游监管机构官方网站、雅加达省政府官方门户网站、印度尼西亚中央统计局官方网站、《AP-42第五版》(Fifth edition of AP-42),以及向印度尼西亚共和国石油与天然气总局、雅加达省工业与能源厅申请获取的相关数据。 为预测2018年至2050年的相关数据,研究者以时间、人口或国内生产总值为自变量,构建二氧化硫排放数据的函数模型。研究者依据理论基础章节中的公式,从排放源层面计算二氧化硫排放量:将活动水平与排放因子相乘,即可得到二氧化硫排放量,此处的活动水平即燃油消耗量等相关指标。

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2021-06-15
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