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Title: A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach

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Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
Grant/Contract Number:
FC02-07ER64494; KP1601050; 20469-19145
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Environmental Modelling and Software
Additional Journal Information:
Journal Volume: 88; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-12-01 09:39:04; Journal ID: ISSN 1364-8152
Country of Publication:
United Kingdom

Citation Formats

Xu, Xingya, Zhang, Xuesong, Fang, Hongwei, Lai, Ruixun, Zhang, Yuefeng, Huang, Lei, and Liu, Xiaobo. A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach. United Kingdom: N. p., 2017. Web. doi:10.1016/j.envsoft.2016.11.010.
Xu, Xingya, Zhang, Xuesong, Fang, Hongwei, Lai, Ruixun, Zhang, Yuefeng, Huang, Lei, & Liu, Xiaobo. A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach. United Kingdom. doi:10.1016/j.envsoft.2016.11.010.
Xu, Xingya, Zhang, Xuesong, Fang, Hongwei, Lai, Ruixun, Zhang, Yuefeng, Huang, Lei, and Liu, Xiaobo. Wed . "A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach". United Kingdom. doi:10.1016/j.envsoft.2016.11.010.
title = {A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach},
author = {Xu, Xingya and Zhang, Xuesong and Fang, Hongwei and Lai, Ruixun and Zhang, Yuefeng and Huang, Lei and Liu, Xiaobo},
abstractNote = {},
doi = {10.1016/j.envsoft.2016.11.010},
journal = {Environmental Modelling and Software},
number = C,
volume = 88,
place = {United Kingdom},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.envsoft.2016.11.010

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Cited by: 1work
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