• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Mu, X. (Mu, X..) | Zhu, X. (Zhu, X..)

Indexed by:

Scopus PKU CSCD

Abstract:

Ecological network analysis can eliminate the “black box” problem in research on urban energy systems by examining the metabolic processes and pathways within these systems. This study analyzed and compared the general methods for analyzing urban energy metabolism and found that ecological network analysis was superior to other methods. We comprehensively summarized the main components of the ecological network analysis and systematically reviewed the application of this method to urban energy metabolism. Based on this analysis, we concluded that, in the future, ecological network analyses of urban energy metabolism could be improved in the following aspects: (1) expand the research scale; (2) strengthen the combination of ascendency analysis and network environ analysis; (3) compare the precision of different models. © 2019 Science Press. All rights reserved.

Keyword:

Ecological network analysis; Energy metabolism; Research progress; Urban

Author Community:

  • [ 1 ] [Mu, X.]Institute of Recycling Economy, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhu, X.]Institute of Recycling Economy, Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

  • [Zhu, X.]Institute of Recycling Economy, Beijing University of TechnologyChina

Show more details

Related Keywords:

Related Article:

Source :

Acta Ecologica Sinica

ISSN: 1000-0933

Year: 2019

Issue: 12

Volume: 39

Page: 4223-4232

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

Online/Total:1208/10606720
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.