Real-Time Data Assimilation for Improving Linear Municipal Solid Waste Prediction Model: A Case Study in Seattle
Autor(en): |
Jingwei Song
(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)
Jiaying He (Center for Geospatial Research, Dept. of Geography, Univ. of Georgia, Athens, GA 30602.) Jing Zhen (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) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Journal of Energy Engineering, Dezember 2015, n. 4, v. 141 |
Seite(n): | 05014002 |
DOI: | 10.1061/(asce)ey.1943-7897.0000217 |
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10588339 - Veröffentlicht am:
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08.03.2021