کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8075689 | 1521465 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A dual strategy for controlling energy consumption and air pollution in China's metropolis of Beijing
ترجمه فارسی عنوان
یک استراتژی دوگانه برای کنترل مصرف انرژی و آلودگی هوا در کلان شهر چین در پکن
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کلمات کلیدی
کاهش تلفات، تجزیه تجزیه ساختاری، رانندگان اجتماعی آلودگی هوا، کلمبیا،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
It is critical to alleviate problems of energy and air pollutants emissions in the metropolis because these areas serve as economic engines and have large and dense populations. Drivers of fossil fuel use and air pollutants emissions were analyzed in metropolis of Beijing during 1997-2010. The analyses were conducted from both a bottom-up and a top-down perspective based on the sectoral inventories and structural decomposition analysis (SDA). From a bottom-up perspective, the key energy-intensive industrial sectors directly caused the variations in Beijing's air pollution by means of a series of energy and economic policies. From a top-down perspective, variations in production structures caused increases in most materials during 2000-2010, but there were decreases in PM10 and PM2.5 emissions during 2005-2010. Population growth was found to be the largest driver of energy consumption and air pollutants emissions during 1997-2010. This finding suggests that avoiding rapid population growth in Beijing could simultaneously control energy consumptions and air pollutants emissions. Mitigation policies should consider not only the key industrial sectors but also socioeconomic drivers to co-reduce energy consumption and air pollutions in China's metropolis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 81, 1 March 2015, Pages 294-303
Journal: Energy - Volume 81, 1 March 2015, Pages 294-303
نویسندگان
Yanxia Zhang, Haikun Wang, Sai Liang, Ming Xu, Qiang Zhang, Hongyan Zhao, Jun Bi,