An effective process-based modeling approach for predicting hypoxia and blue tide in Tokyo Bay
| Autor(en): |
Kangnian Wang
(Department of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan)
Yoshiyuki Nakamura (Faculty of Urban Innovation, Yokohama National University, Hodogaya, Yokohama, Japan) Jun Sasaki (Department of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan) Tetsunori Inoue (Marine Pollution Management Group, Port and Airport Research Institute, Yokosuka, Kanagawa, Japan) Hiroto Higa (Faculty of Urban Innovation, Yokohama National University, Hodogaya, Yokohama, Japan) Takayuki Suzuki (Faculty of Urban Innovation, Yokohama National University, Hodogaya, Yokohama, Japan) Muhammad Ali Hafeez (Marine Pollution Management Group, Port and Airport Research Institute, Yokosuka, Kanagawa, Japan) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Coastal Engineering Journal, Juli 2022, n. 3, v. 64 |
| Seite(n): | 1-19 |
| DOI: | 10.1080/21664250.2022.2119011 |
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Datenseite - Reference-ID
10693382 - Veröffentlicht am:
23.09.2022 - Geändert am:
18.11.2022
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