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Real-Time Data Assimilation for Improving Linear Municipal Solid Waste Prediction Model: A Case Study in Seattle

Author(s): (Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Rd., Haidian, Beijing 100094, China; and Graduate School, Chinese Academy of Sciences, No. 19A Yuquan Rd., Beijing)
(Center for Geospatial Research, Dept. of Geography, Univ. of Georgia, Athens, GA 30602.)
(Research Assistant, Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Rd., Haidian, Beijing 100094, China; and Graduate School, Chinese Academy of Sciences, No. 19A)
Medium: journal article
Language(s): English
Published in: Journal of Energy Engineering, , n. 4, v. 141
Page(s): 05014002
DOI: 10.1061/(asce)ey.1943-7897.0000217

Geographic Locations

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ey.1943-7897.0000217.
  • About this
    data sheet
  • Reference-ID
    10588339
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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