Improved Medium- and Long-Term Runoff Forecasting Using a Multimodel Approach in the Yellow River Headwaters Region Based on Large-Scale and Local-Scale Climate Information-Reference-Cited by-同舟云学术

Improved Medium- and Long-Term Runoff Forecasting Using a Multimodel Approach in the Yellow River Headwaters Region Based on Large-Scale and Local-Scale Climate Information

Published:2017-08-15 Issue:8 Volume:9 Page:608
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Chu Haibo,Wei Jiahua,Li Jiaye,Qiao Zhen,Cao Jiongwei

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/8/608/pdf

Reference35 articles.

1. Runoff Simulation of the Headwaters of the Yellow River Using The SWAT Model With Three Snowmelt Algorithms1

2. Impacts of Climatic Change on Hydrological Regime in the Three-River Headwaters Region, China, 1960-2009

3. Runoff forecasting for an asphalt plane by Artificial Neural Networks and comparisons with kinematic wave and autoregressive moving average models

4. Recognition method for mid- to long-term runoff forecasting factors based on global sensitivity analysis in the Nenjiang River Basin

5. Assessing potential climate change impacts on the seasonality of runoff in an Alpine watershed

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