Comparison of different quantile regression methods to estimate predictive hydrological uncertainty in the Upper Chao Phraya River Basin, Thailand-Reference-Cited by-同舟云学术

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Comparison of different quantile regression methods to estimate predictive hydrological uncertainty in the Upper Chao Phraya River Basin, Thailand

Published:2019-12-17 Issue:1 Volume:13 Page:
ISSN:1753-318X
Container-title:Journal of Flood Risk Management
language:en
Short-container-title:J Flood Risk Management

Author:

Acharya Suwash C.¹²^ORCID,Babel Mukand S.²,Madsen Henrik³,Sisomphon Piyamarn⁴,Shrestha Sangam²

Affiliation:

1. Department of Infrastructure EngineeringThe University of Melbourne Melbourne Australia

2. Water Engineering and ManagementAsian Institute of Technology Khlong Nueng Thailand

3. DHI Hørsholm Denmark

4. Hydro‐Informatics Institute Bangkok Thailand

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12585

Reference31 articles.

1. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game

2. The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting

3. Probabilistic Forecasts of Precipitation in Terms of Quantiles Using NWP Model Output

4. Ensemble flood forecasting: A review

5. Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments

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4. Evaluation of Future Streamflow in the Upper Part of the Nilwala River Basin (Sri Lanka) under Climate Change;Hydrology;2022-03-16

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