scholarly journals Rainfall-runoff forecast model based on robust correction of soil moisture:Design and application in an experimental basin

2017 ◽  
Vol 29 (6) ◽  
pp. 1510-1519
Author(s):  
SHEN Dandan ◽  
◽  
BAO Weimin ◽  
JIANG Peng ◽  
ZHANG Yang ◽  
...  
Keyword(s):  
Forecast Model ◽  
Rainfall Runoff ◽  
Model Based ◽  
Runoff Forecast ◽  
Experimental Basin

Development of rainfall-runoff forecast model

2011 ◽  
Vol 8 (2) ◽  
Author(s):  
EO Oyebode ◽  
KO Adekalu ◽  
SA Akinboro
Keyword(s):  
Forecast Model ◽  
Rainfall Runoff ◽  
Runoff Forecast

scholarly journals Multi-Objective Model-Based Assessment of Green-Grey Infrastructures for Urban Flood Mitigation

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 110
Author(s):  
Carlos Martínez ◽  
Zoran Vojinovic ◽  
Arlex Sanchez
Keyword(s):  
Green Infrastructure ◽  
Overland Flow ◽  
Flood Damage ◽  
Optimal Number ◽  
Rainfall Runoff ◽  
Urban Catchment ◽  
Model Based ◽  
Model Domain ◽  
Infiltration Processes ◽  
2D Model

This paper presents the performance quantification of different green-grey infrastructures, including rainfall-runoff and infiltration processes, on the overland flow and its connection with a sewer system. The present study suggests three main components to form the structure of the proposed model-based assessment. The first two components provide the optimal number of green infrastructure (GI) practices allocated in an urban catchment and optimal grey infrastructures, such as pipe and storage tank sizing. The third component evaluates selected combined green-grey infrastructures based on rainfall-runoff and infiltration computation in a 2D model domain. This framework was applied in an urban catchment in Dhaka City (Bangladesh) where different green-grey infrastructures were evaluated in relation to flood damage and investment costs. These practices implemented separately have an impact on the reduction of damage and investment costs. However, their combination has been shown to be the best action to follow. Finally, it was proved that including rainfall-runoff and infiltration processes, along with the representation of GI within a 2D model domain, enhances the analysis of the optimal combination of infrastructures, which in turn allows the drainage system to be assessed holistically.

Ionospheric TEC forecast model based on support vector machine with GPU acceleration in the China region

2021 ◽  
Author(s):  
Guozhen Xia ◽  
Yi Liu ◽  
Tongfeng Wei ◽  
Zhuangkai Wang ◽  
Weiquan Huang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Forecast Model ◽  
Gpu Acceleration ◽  
Support Vector ◽  
Model Based ◽  
China Region

A Statistical Extended-Range Tropical Forecast Model Based on the Slow Evolution of the Madden–Julian Oscillation

1999 ◽  
Vol 12 (7) ◽  
pp. 1918-1939 ◽  
Author(s):  
Duane E. Waliser ◽  
Charles Jones ◽  
Jae-Kyung E. Schemm ◽  
Nicholas E. Graham
Keyword(s):  
Forecast Model ◽  
Madden Julian Oscillation ◽  
Model Based ◽  
Extended Range ◽  
Slow Evolution

The Research of Railway Passenger Flow Prediction Model Based on BP Neural Network

2012 ◽  
Vol 605-607 ◽  
pp. 2366-2369 ◽  
Author(s):  
Yao Wang ◽  
Dan Zheng ◽  
Shi Min Luo ◽  
Dong Ming Zhan ◽  
Peng Nie
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Forecast Model ◽  
Good Effect ◽  
Passenger Flow ◽  
Model Based ◽  
Flow Prediction ◽  
Transport Organization ◽  
Railway Passenger ◽  
Short Time

Based on analyzing the principle of BP neural network and time sequence characteristics of railway passenger flow, the forecast model of railway short-term passenger flow based on BP neural network was established. This paper mainly researches on fluctuation characteristics and short-time forecast of holiday passenger flow. Through analysis of passenger flow and then be used in passenger flow forecasting in order to guide the transport organization program especially the train plan of extra passenger train. And the result shows the forecast model based on BP neural network has a good effect on railway passenger flow prediction.

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