Search Results - subject:"Rainfall forecasting"

Coupling typhoon rainfall forecasting with overland-flow modeling for early warning of inundation

Pan, Tsung-Yi; Chang, Lung-Yao; Lai, Jihn-Sung; Chang, … - In: Natural Hazards 70 (2014) 3, pp. 1763-1793

Taiwan suffers from an average of three or four typhoons annually, and the inundation caused by the heavy precipitation that is associated with typhoons frequently occurs in lowlands and floodplains. Potential inundation maps have been widely used as references to set up non-structural...

Persistent link: https://www.econbiz.de/10010846325

A Wavelet-Based Second Order Nonlinear Model for Forecasting Monthly Rainfall

Maheswaran, R; Khosa, Rakesh - In: Water Resources Management 28 (2014) 15, pp. 5411-5431

<Para ID="Par1">In this article, a rainfall forecasting model using monthly historical rainfall data and climate … forecast model. The proposed multivariate wavelet nonlinear rainfall forecasting method is examined with over three places in …

Persistent link: https://www.econbiz.de/10011151735

Development of Nonlinear Model Based on Wavelet-ANFIS for Rainfall Forecasting at Klang Gates Dam

Akrami, Seyed; Nourani, Vahid; Hakim, S. - In: Water Resources Management 28 (2014) 10, pp. 2999-3018

Rainfall is one of the most complicated effective hydrologic processes in runoff prediction and water management. Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit...

Persistent link: https://www.econbiz.de/10010998016

Potential assessment of the support vector regression technique in rainfall forecasting

Hong, Wei-Chiang; Pai, Ping-Feng - In: Water Resources Management 21 (2007) 2, pp. 495-513

Forecasting and monitoring of rainfall values are increasingly important for decreasing economic loss caused by flash floods. Based on statistical learning theory, support vector regression (SVR) has been used to deal with forecasting problems. Performing structural risk minimization rather than...

Persistent link: https://www.econbiz.de/10010794687

The Potential of Fuzzy Multi-objective Model for Rainfall Forecasting from Typhoons

Yu, Pao-Shan; Chen, Shien-Tsung; Chen, Chia-Jung; Yang, … - In: Natural Hazards 34 (2005) 2, pp. 131-150

This study applies the fuzzy multi-objective approach to forecast short-term (around 24 h) typhoon rainfall, which can be implemented without much background meteorological knowledge. The physical characteristics of 40 typhoons, including route, central pressure, central velocity and cyclonic...

Persistent link: https://www.econbiz.de/10010846828

A Probability-Based Renewal Rainfall Model for Flow Forecasting

Yu, Pao-Shan; Yang, Tao-Chang - In: Natural Hazards 15 (1997) 1, pp. 51-70

-based rainfall forecasting model, based on Markov chain, was proposed in this study. The rainfall can be forecast one to three hours …, was taken as a dominant variable parameter. The accuracy of rainfall forecasting one to three hours in advance is … from a transfer function was further applied in unison with this rainfall forecasting model to forecast flows one to four …

Persistent link: https://www.econbiz.de/10010758908