دانلود مقاله ISI انگلیسی شماره 88065
ترجمه فارسی عنوان مقاله

وارد کردن داده های از دست رفته در سری های زمانی غیر قابل تجدید قدرت از مشاهدات نور شبانه

عنوان انگلیسی
Imputing missing data in non-renewable empower time series from night-time lights observations
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
88065 2018 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Ecological Indicators, Volume 84, January 2018, Pages 106-118

ترجمه کلمات کلیدی
ظهور پایگاه داده در حال ظهور، بخش سری زمانی، اطلاعات خراب چندین معامله، جغرافیای ترمودینامیکی،
کلمات کلیدی انگلیسی
emergy; emergy database; time series cross section; missing data; multiple imputation; thermodynamic geography;
پیش نمایش مقاله
پیش نمایش مقاله  وارد کردن داده های از دست رفته در سری های زمانی غیر قابل تجدید قدرت از مشاهدات نور شبانه

چکیده انگلیسی

Emergy is an environmental accounting tool, with a specific set of indicators, that proved to be highly informative for sustainability assessment of national economies. The empower, defined as emergy per unit time, is a measure of the overall flow of resources used by a system in order to support its functioning. Continuous time-series of empower are not available for most of the world countries, due to the large amount of data needed for its calculation year by year. In this paper, we aim at filling this gap by means of a model that facilitates reconstruction of continuous time series of the non-renewable component of empower for a set of 57 countries of the world from 1995 to 2012. The reconstruction is based on a 3 year global emergy dataset and on the acknowledged relationships between the use of non-renewables, satellite observed artificial lights emitted at night, and Gross Domestic Product. Results show that this method provides accurate estimations of non-renewable empower at the country scale. The estimation model can be extended onward and backward in time and replicated for more countries, also using higher-resolution satellite imageries newly available. Besides representing an important advancement in emergy theory, this information is helpful for monitoring progresses toward Sustainable Development and energy use international goals.