|
|
|
|
|
Albert Larson, Abdeltawab Hendawi, Thomas Boving, Soni M. Pradhanang and Ali S. Akanda
The impact of climate change continues to manifest itself daily in the form of extreme events and conditions such as droughts, floods, heatwaves, and storms. Better forecasting tools are mandatory to calibrate our response to these hazards and help adapt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Robert Szczepanek
Streamflow forecasting in mountainous catchments is and will continue to be one of the important hydrological tasks. In recent years machine learning models are increasingly used for such forecasts. A direct comparison of the use of the three gradient bo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tze Huey Tam, Muhammad Zulkarnain Abd Rahman, Sobri Harun, Muhammad Nassir Hanapi and Ismaila Usman Kaoje
The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cristian Guevara Ochoa, Ignacio Masson, Georgina Cazenave, Luis Vives and Gabriel Vázquez Amábile
Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eatemad Keshta, Mohamed A. Gad and Doaa Amin
This study develops a response-based hydrologic model for long-term (continuous) rainfall-runoff simulations over the catchment areas of big rivers. The model overcomes the typical difficulties in estimating infiltration and evapotranspiration parameters...
ver más
|
|
|
|
|
|
|
|
|
|
|
Minxue He, Mitchel Russo, Michael Anderson, Peter Fickenscher, Brett Whitin, Andrew Schwarz and Elissa Lynn
This study presents a comprehensive trend analysis of precipitation, temperature, and runoff extremes in the Central Valley of California from an operational perspective. California is prone to those extremes of which any changes could have long-lasting ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dachen Li, Simin Qu, Peng Shi, Xueqiu Chen, Feng Xue, Jianfeng Gou and Wenhao Zhang
To date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin?anjiang (XAJ) model is the most widely use...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shanhu Jiang, Shuya Liu, Liliang Ren, Bin Yong, Linqi Zhang, Menghao Wang, Yujie Lu and Yingqing He
Satellite precipitation products (SPPs) are critical data sources for hydrological prediction and extreme event monitoring, especially for ungauged basins. This study conducted a comprehensive hydrological evaluation of six mainstream SPPs (i.e., TMPA 3B...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jonathan T. Barge and Hatim O. Sharif
This study focused on employing Linear Genetic Programming (LGP), Ensemble Empirical Mode Decomposition (EEMD), and the Self-Organizing Map (SOM) in modeling the rainfall?runoff relationship in a mid-size catchment. Models were assessed with regard to th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chun-tian Cheng, Wen-jing Niu, Zhong-kai Feng, Jian-jian Shen and Kwok-wing Chau
Accurate daily runoff forecasting is of great significance for the operation control of hydropower station and power grid. Conventional methods including rainfall-runoff models and statistical techniques usually rely on a number of assumptions, leading t...
ver más
|
|
|
|
|
|