Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China

Fan, Yurui; Huang, Guohe; Zhang, Yin; Li, Yongping

doi:10.1016/j.eng.2018.06.006

Title: Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China

Full Record
Other Related Research

Authors:

Fan, Yurui; Huang, Guohe;

; Li, Yongping

Publication Date:: 2018-10-01

Sponsoring Org.:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI Identifier:: 1476937

Grant/Contract Number:: 2016YFC0502800

Resource Type:: Published Article

Journal Name:: Engineering

Additional Journal Information:: Journal Name: Engineering Journal Volume: 4 Journal Issue: 5; Journal ID: ISSN 2095-8099

Publisher:: Elsevier

Country of Publication:: China

Language:: English

Citation Formats


                    Fan, Yurui, Huang, Guohe, Zhang, Yin, and Li, Yongping. Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China.  China: N. p., 2018. 
Web.  doi:10.1016/j.eng.2018.06.006.

Copy to clipboard


                    Fan, Yurui, Huang, Guohe, Zhang, Yin, & Li, Yongping. Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China.  China.  https://doi.org/10.1016/j.eng.2018.06.006

Copy to clipboard


                    Fan, Yurui, Huang, Guohe, Zhang, Yin, and Li, Yongping. Mon .  
"Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China".  China.  https://doi.org/10.1016/j.eng.2018.06.006.

Copy to clipboard


                    
@article{osti_1476937,

  title        = {Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Gorges Reservoir Area in China},

  author       = {Fan, Yurui and Huang, Guohe and Zhang, Yin and Li, Yongping},

  abstractNote = {},

  doi          = {10.1016/j.eng.2018.06.006},

  journal      = {Engineering},

  number       = 5,

  volume       = 4,

  place        = {China},

  year         = {2018},

  month        = {10}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
https://doi.org/10.1016/j.eng.2018.06.006

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 1 work

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Antibiotic resistance gene abundances associated with heavy metals and antibiotics in the sediments of Changshou Lake in the three Gorges Reservoir area, China

Journal Article Lu, Lunhui ; Liu, Jie ; Li, Zhe ; ... - Ecological Indicators
https://doi.org/10.1016/j.ecolind.2020.106275
Impacts of climate warming on the frozen ground and eco-hydrology in the Yellow River source region, China

Journal Article Qin, Yue ; Yang, Dawen ; Gao, Bing ; ... - Science of the Total Environment

The Yellow River source region is located in the transition region between permafrost and seasonally frozen ground on the northeastern Qinghai-Tibet Plateau. The region has experienced severe climate change, especially air temperature increases, in past decades. In this study, we employed a geomorphology-based eco-hydrological model (GBEHM) to assess the impacts of climate change on the frozen ground and eco-hydrological processes in the region. Based on a long-term simulation from 1981 to 2015, we found that the areal mean maximum thickness of seasonally frozen ground ranged from 1.1–1.8 m and decreased by 1.2 cm per year. Additionally, the ratio of the permafrost areamore »« less
Cited by 19
https://doi.org/10.1016/j.scitotenv.2017.06.188

Full Text Available
China`s Three Gorges Dam: Mammoth opportunities - and risks

Journal Article Maize, K P - Electricity Journal

China is embarking on an infrastructure project of almost unimaginable proportions. If it succeeds, it will be one of the modern wonders of the world. If it fails, the Chinese government could be impoverished for a generation. The Three Gorges Dam represents an audacious gamble for infrastructure-starved China. Like some U.S. utilities in the 1970`s and 1980`s, China is taking a giant roll of the dice on a single generating project. If it succeeds, the dam will be one of the modern wonders of the world. If it fails, China`s government could be impoverished for a generation. The scope ofmore »« less
https://doi.org/10.1016/S1040-6190(96)80203-X
Effects of Three Gorges Dam operation on spatial distribution and evolution of channel thalweg in the Yichang-Chenglingji Reach of the Middle Yangtze River, China

Journal Article Lyu, Yiwei ; Zheng, Shan ; Tan, Guangming ; ... - Journal of Hydrology
https://doi.org/10.1016/j.jhydrol.2018.08.042
Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China

Journal Article Peng, Yang ; Shi, Yulong ; Yan, Hongxiang ; ... - Journal of Hydrologic Engineering

The coincidence of floods on the mainstream and its tributary may cause significant flood damages at downstream of the confluence. In this study, the coincidence risks of flood magnitudes and occurrence dates on Jinsha River and Min River, China were analyzed using multivariate copulas. The Pearson Type III (P-III) distribution and the Mixed von Mises distribution were selected to establish the marginal distributions of flood magnitude and occurrence date, respectively. The Clayton copula and Gumbel-Hougaard (GH) copula functions were then used to establish the joint probability distributions of flood magnitudes and occurrence dates of Jinsha River and Min River, respectively.more »« less
https://doi.org/10.1061/(ASCE)HE.1943-5584.0001744

Similar Records