Empirical and modeling approach for flash flood warning system at MaeSai, Thailand (Record no. 36732)

MARC details
000 -LEADER
fixed length control field 03619nas a2200361 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818095651.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250501s20249999th u ms t 000 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b1245509x
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.WM-24-16
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jirayuth Srisat
245 10 - TITLE STATEMENT
Title Empirical and modeling approach for flash flood warning system at MaeSai, Thailand
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 199 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Thesis;
Volume/sequential designation no. WM-24-16
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Water Engineering and Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Sc.) - Asian Institute of Technology, 2024
520 ## - SUMMARY, ETC.
Summary, etc. Mae Sai District, Chiang Rai located at border between Thailand and Myanmar, have the shared market with experiences recurrent flash flood. Main impact of the flash flood was property damage for business villagers. The present study aimed to analyze meteo hydrological conditions that cause flash floods. Then, develop empirical and modeling approach. Integrate the flood criteria, and finally propose flood warning framework. Rainfall data is limited and not available in Myanmar side. Eight rainfall stations and water level data from Thailand side were collected to analyze the rainfall, flood characteristics, and flood criteria. There are totally 13 flood events from years 2017 to 2022. Fieldwork and field investigation were carried out to have comprehensive information during the flood. The flood model is to use RRI model as a computational tool with Global Satellite Mapping of Precipitation NOW (GSMaP NOW) as satellite rainfall data. The results showed that the peak water level and 15-minute average weighted rainfall had the strongest correlation (0.73) among other meteo-hydrological parameters correlation, indicating that higher flood peak levels occur with heavier rainfall. However, flooding in the Mae Sai can occur even when rainfall is moderate because the initial water level in Sai River is high at the time. It was found that even 20 mm of rainfall within 24 hours could cause flooding at a high water level of 1.6 meters. Therefore, the flood is classified to the type of single and consecutive rainfall. Its criteria are based on rainfall and initial water level. For flood model calibration and validation, it provides 0.83 and 0.19 in terms of NSE respectively. A fieldwork and field investigation revealed that Mae Sai people need flood warnings 3-6 hours in advance, and flood warning using the public address speaker and broadcasting tower is the most required. Flood warning system framework was developed based on the present work both technical, management, and communication aspects.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Flood warning systems
Geographic subdivision Thailand
-- Mae Sai (Amphoe)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Flood forecasting
Geographic subdivision Thailand
-- Mae Sai (Amphoe)
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sutat Weesakul,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Babel, Mukand S.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Natthachet Tangdamrongsub,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element RTG Fellowships,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis;
Volume/sequential designation no. WM-24-16
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22097">http://203.159.5.9/ait-thesis/detail.php?q=B22097</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b1245509x
b mnarc
c a
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 250509
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 250507
First date, FD (RLIN) m
-- h
-- a
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2025-01-05
RECORD Id RECORD # : i13546004
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT Thesis no.WM-24-16 18/08/2026 1 18/08/2026 67-Electronic Resource
คัดลอกแล้ว!