Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220756502> ?p ?o ?g. }
- W4220756502 endingPage "123880" @default.
- W4220756502 startingPage "123880" @default.
- W4220756502 abstract "Energy and water shortages are two major problems in the process of urban development, and meeting the demands for energy and fresh water has become the key to global sustainable development. In this study, we developed a structure-based singular value decomposition (SSVD) method through incorporating techniques of multi-regional input-output (MRIO), structural path analysis (SPA), and singular value decomposition (SVD) within a general framework. The SSVD method is used to explore and track the system properties and flow paths of energy-water nexus network in the Pearl River Delta urban agglomeration (PUA) from 2012 to 2015. Our main findings are: (i) the largest final demand of inducing energy-related water (E-water) and water-related energy (W-energy) is the exports; (ii) Shenzhen mainly depends on other cities for E-water and W-energy, and Huizhou is the provider of E-water and W-energy; (iii) we identified over 10,000 energy-water clusters and found that Guangzhou's electricity and equipment manufacture drive the largest energy-water clusters, respectively. Our findings suggest that monitoring key paths and clusters of major energy-water consumption in the supply chains of urban agglomerations can provide new insights into energy and water policies." @default.
- W4220756502 created "2022-04-03" @default.
- W4220756502 creator A5014308617 @default.
- W4220756502 creator A5024566781 @default.
- W4220756502 creator A5025600307 @default.
- W4220756502 creator A5059274907 @default.
- W4220756502 creator A5084900427 @default.
- W4220756502 creator A5086443172 @default.
- W4220756502 date "2022-07-01" @default.
- W4220756502 modified "2023-10-07" @default.
- W4220756502 title "Identifying critical energy-water paths and clusters within the urban agglomeration using machine learning algorithm" @default.
- W4220756502 cites W1975107174 @default.
- W4220756502 cites W2029831058 @default.
- W4220756502 cites W2034005691 @default.
- W4220756502 cites W2076116268 @default.
- W4220756502 cites W2105411277 @default.
- W4220756502 cites W2106100378 @default.
- W4220756502 cites W2154011501 @default.
- W4220756502 cites W2290239602 @default.
- W4220756502 cites W2315928218 @default.
- W4220756502 cites W2323325301 @default.
- W4220756502 cites W2328221411 @default.
- W4220756502 cites W2328405273 @default.
- W4220756502 cites W244587596 @default.
- W4220756502 cites W2504718064 @default.
- W4220756502 cites W2586544820 @default.
- W4220756502 cites W2587197564 @default.
- W4220756502 cites W2626972740 @default.
- W4220756502 cites W2754893443 @default.
- W4220756502 cites W2759153391 @default.
- W4220756502 cites W2801055359 @default.
- W4220756502 cites W2804413797 @default.
- W4220756502 cites W2883772681 @default.
- W4220756502 cites W2887428403 @default.
- W4220756502 cites W2898664146 @default.
- W4220756502 cites W2903979882 @default.
- W4220756502 cites W2905330770 @default.
- W4220756502 cites W2913727688 @default.
- W4220756502 cites W2917652429 @default.
- W4220756502 cites W2921908568 @default.
- W4220756502 cites W2934547291 @default.
- W4220756502 cites W2941920294 @default.
- W4220756502 cites W2946840187 @default.
- W4220756502 cites W2954626464 @default.
- W4220756502 cites W2963313965 @default.
- W4220756502 cites W2974663753 @default.
- W4220756502 cites W2984843338 @default.
- W4220756502 cites W2986414636 @default.
- W4220756502 cites W2998168109 @default.
- W4220756502 cites W2998525602 @default.
- W4220756502 cites W3002654057 @default.
- W4220756502 cites W3007096504 @default.
- W4220756502 cites W3009258923 @default.
- W4220756502 cites W3013109490 @default.
- W4220756502 cites W3013909215 @default.
- W4220756502 cites W3013910415 @default.
- W4220756502 cites W3039588230 @default.
- W4220756502 cites W3116487189 @default.
- W4220756502 cites W3154716969 @default.
- W4220756502 cites W3185572714 @default.
- W4220756502 cites W3201664861 @default.
- W4220756502 cites W3210711543 @default.
- W4220756502 doi "https://doi.org/10.1016/j.energy.2022.123880" @default.
- W4220756502 hasPublicationYear "2022" @default.
- W4220756502 type Work @default.
- W4220756502 citedByCount "6" @default.
- W4220756502 countsByYear W42207565022022 @default.
- W4220756502 countsByYear W42207565022023 @default.
- W4220756502 crossrefType "journal-article" @default.
- W4220756502 hasAuthorship W4220756502A5014308617 @default.
- W4220756502 hasAuthorship W4220756502A5024566781 @default.
- W4220756502 hasAuthorship W4220756502A5025600307 @default.
- W4220756502 hasAuthorship W4220756502A5059274907 @default.
- W4220756502 hasAuthorship W4220756502A5084900427 @default.
- W4220756502 hasAuthorship W4220756502A5086443172 @default.
- W4220756502 hasBestOaLocation W42207565022 @default.
- W4220756502 hasConcept C105795698 @default.
- W4220756502 hasConcept C113360713 @default.
- W4220756502 hasConcept C119599485 @default.
- W4220756502 hasConcept C127413603 @default.
- W4220756502 hasConcept C131850264 @default.
- W4220756502 hasConcept C134560507 @default.
- W4220756502 hasConcept C144133560 @default.
- W4220756502 hasConcept C148609458 @default.
- W4220756502 hasConcept C149207113 @default.
- W4220756502 hasConcept C149635348 @default.
- W4220756502 hasConcept C154611951 @default.
- W4220756502 hasConcept C162324750 @default.
- W4220756502 hasConcept C186370098 @default.
- W4220756502 hasConcept C18903297 @default.
- W4220756502 hasConcept C205649164 @default.
- W4220756502 hasConcept C206658404 @default.
- W4220756502 hasConcept C26271046 @default.
- W4220756502 hasConcept C26517878 @default.
- W4220756502 hasConcept C2780165032 @default.
- W4220756502 hasConcept C33923547 @default.
- W4220756502 hasConcept C38652104 @default.
- W4220756502 hasConcept C39432304 @default.