Analysis and Forecasting of Wetness-Dryness Encountering of a Multi-Water System Based on a Vine Copula Function-Bayesian Network
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analysis and Forecasting of Wetness-Dryness Encountering of a Multi-Water System Based on a Vine Copula Function-Bayesian Network
Authors
Keywords
-
Journal
Water
Volume 14, Issue 11, Pages 1701
Publisher
MDPI AG
Online
2022-05-31
DOI
10.3390/w14111701
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Safety Design for Water-carrying Lake Flood Control Based on Copula Function: A Case Study of the Hongze Lake, China
- (2021) Yun Luo et al. JOURNAL OF HYDROLOGY
- Joint probability of drought encounter among three major grain production zones of China under nonstationary climate
- (2021) Ruxin Zhao et al. JOURNAL OF HYDROLOGY
- Dynamic long-term streamflow probabilistic forecasting model for a multisite system considering real-time forecast updating through spatio-temporal dependent error correction
- (2021) Ran Mo et al. JOURNAL OF HYDROLOGY
- Multi-Objective Optimal Allocation of River Basin Water Resources under Full Probability Scenarios Considering Wet–Dry Encounters: A Case Study of Yellow River Basin
- (2021) Xike Guan et al. International Journal of Environmental Research and Public Health
- Multiple-risk assessment of water supply, hydropower and environment nexus in the water resources system
- (2020) Lu Chen et al. JOURNAL OF CLEANER PRODUCTION
- Vine copula selection using mutual information for hydrological dependence modeling
- (2020) Lingling Ni et al. ENVIRONMENTAL RESEARCH
- Reservoir Inflow Synchronization Analysis for Four Reservoirs on a Mainstream and its Tributaries in Flood Season Based on a Multivariate Copula Model
- (2020) Wu Zening et al. WATER RESOURCES MANAGEMENT
- Study of the Allocation of Regional Flood Drainage Rights in Watershed Based on Entropy Weight TOPSIS Model: A Case Study of the Jiangsu Section of the Huaihe River, China
- (2020) Kaize Zhang et al. International Journal of Environmental Research and Public Health
- Introducing entropy-based Bayesian model averaging for streamflow forecast
- (2020) Pedram Darbandsari et al. JOURNAL OF HYDROLOGY
- Exceedance probability of precipitation for the Shuhe to Futuan Water Transfer Project in China
- (2019) Huihua Du et al. Environmental Earth Sciences
- Probabilistic long‐term hydrological drought forecast using Bayesian networks and drought propagation
- (2019) Ji Yae Shin et al. METEOROLOGICAL APPLICATIONS
- Monthly Streamflow Simulation for the Headwater Catchment of the Yellow River Basin With a Hybrid Statistical‐Dynamical Model
- (2019) Wenzhuo Wang et al. WATER RESOURCES RESEARCH
- Bivariate frequency analysis of low flow using copula functions (case study: Dez River Basin, Iran)
- (2018) Farshad Ahmadi et al. Environmental Earth Sciences
- Risk analysis of flood control reservoir operation considering multiple uncertainties
- (2018) Kangdi Huang et al. JOURNAL OF HYDROLOGY
- Assessment of the joint impact of extreme rainfall and storm surge on the risk of flooding in a coastal area
- (2018) Bouchra Zellou et al. JOURNAL OF HYDROLOGY
- Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China
- (2018) Yang Peng et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Streamflow forecast uncertainty evolution and its effect on real-time reservoir operation
- (2016) Lu Chen et al. JOURNAL OF HYDROLOGY
- Coincidence probability of precipitation for the middle route of South-to-North water transfer project in China
- (2013) Baowei Yan et al. JOURNAL OF HYDROLOGY
- Water management with water conservation, infrastructure expansions, and source variability in Jordan
- (2008) David E. Rosenberg et al. WATER RESOURCES RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now