The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON FLUID MECHANICS
Transactions ID Number: 27-727
Full Name: Sarintip Tantanee
Position: Associate Professor
Age: ON
Sex: Female
Address: Engineering Faculty, Naresuan University, Muang, Phitsanulok 65000
Country: THAILAND
Tel: 55 261061 ext. 4063, 4003
Tel prefix: 66
Fax: +66 55 261062
E-mail address: sarintipt@nu.ac.th
Other E-mails: stantanee@yahoo.com
Title of the Paper: using gis buffer technique to improve rainfall-radar reflectivity relationship estimation
Authors as they appear in the Paper: Sarintp Tantanee, Saman Prakarnrat
Email addresses of all the authors: sarintipt@nu.ac.th, saman@metnet.tmd.go.th
Number of paper pages: 10
Abstract: In Past decade, Thailand has regularly faced the problem of flash flood and landslides, especially over the lower Northern part of the country. This area is mountainous area where there is the problem of raingage scarcity and absence. In order to construct the effective warning system, the appropriate rainfall estimation should be first developed. Thus, this research was implemented based on the concept of using information from radar to detect rainfall in order to solve the problem of information lacking over ungaged area. This research was setup under the collaboration among Naresuan University, Thai Meteorological Department and Royal Irrigation Department. The objective of the research is to estimate the rainfall (R) from Z-R relationship by using the measured reflectivity (Z) from radar station located at the middle of flash flood risky area in Lower Northern Thailand. Coupling GIS technique with probability matching, the Spatial Probability Technique (SPT) a!
nd Buffer Probability Technique (BPT) were developed to evaluate the appropriate Z-R pair for Z-R relationship analysis. From both techniques, the obtained Z-R relationship can be expressed in form of , where are Function Parameters, as the previous studies. Comparing between these two techniques on rainfall detecting from reflectivity, the obtained R2 from both processes are slightly difference, whereas, BPT provided less standard error of estimation. However, this study emphasized only on the Z-R relationship, the further study should be done with the other parameters to support the disaster warning system in the future.
Keywords: Rainfall, Radar, Reflectivity, Z-R Relationship, Buffer, Spatial, Ungauged area
EXTENSION of the file: .pdf
Special (Invited) Session: Estimation of rainfall-radar reflectivity relationship using buffer probability technique (BPT)
Organizer of the Session: 588-307
How Did you learn about congress: wuruya@engr.tu.ac.th
IP ADDRESS: 58.147.74.4
