Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1230
PIRA download icon_1.1View/Download Full Text
Title: A Web-based flood forecasting system for Shuangpai region
Authors: Li, XY
Chau, KW 
Cheng, C
Li, YS 
Issue Date: Mar-2006
Source: Advances in engineering software, Mar. 2006, v. 37, no. 3, p. 146-158
Abstract: Traditional flood forecasting and operation of reservoirs in China are based on manual calculations by hydrologists or through standalone computer programs. The main drawbacks of these methods are long forecasting time due to time-consuming nature, individual knowledge, lack of communication, absence of experts, etc. A Web-based flood forecasting system (WFFS), which includes five main modules: real-time rainfall data conversion, model-driven hydrologic forecasting, model calibration, precipitation forecasting, and flood analysis, is presented in this paper. The WFFS brings significant convenience to personnel engaged in flood forecasting and control and allows real-time contribution of a wide range of experts at other spatial locations in times of emergency. The conceptual framework and detailed components of the proposed WFFS, which employs a multi-tiered architecture, are illustrated. Multi-tiered architecture offers great flexibility, portability, reusability and reliability. The prototype WFFS has been developed in Java programming language and applied in Shuangpai region with a satisfactory result.
Keywords: Flood forecasting
Web
Multi-tiered
Rainfall-runoff model
Component
Publisher: Elsevier
Journal: Advances in engineering software 
ISSN: 0965-9978
DOI: 10.1016/j.advengsoft.2005.05.006
Rights: Advances in Engineering Software © 2005 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
AES3.pdfPre-published version500.96 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

168
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

336
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

38
Last Week
0
Last month
0
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

30
Last Week
0
Last month
1
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.