Neural network models for forecasting hourly water levels and discharges of Chao Phraya River at Bangkok Memorial Bridge (Record no. 80498)

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035 ## - SYSTEM CONTROL NUMBER
System control number .b11803022
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.WM-99-1
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Chayanis Manusthiparom
245 10 - TITLE STATEMENT
Title Neural network models for forecasting hourly water levels and discharges of Chao Phraya River at Bangkok Memorial Bridge
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2000
300 ## - PHYSICAL DESCRIPTION
Extent 131, A3, B9 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. WM-99-1
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 2000
520 ## - SUMMARY, ETC.
Summary, etc. Hourly flow forecasting is necessary in coastal rivers and estuaries for the purposes of flood control and mitigation, because the water level is greatly affected by the movement of the tidal waves that continually fluctuate and the upland flood discharge as well as local inflows. The interference of the tidal backwater with the upstream flow of the river increases higher flood stages that enlarge flood plain inundation areas and increase potential flood damages. A Neural Network Model known as Back-Propagation algorithm (BP) is presented for forecasting hourly water levels and discharges in the Chao Phraya River at Bangkok Memorial Bridge (Station C4, km 48), Thailand for one, two and three hours in advance. The model considers the river reach from the river mouth at Fort Chula to Bang Sai, a reach length of 112 km. The river flows is influenced by the effects of upstream discharge at Bang Sai (km 112), the tide levels at Fort Chula (km I) and the local inflow along the river reach. The neural network is calibrated and verified based on the observed data and computed results of the MIKE-I I HD model. It was found that the combination of BPNN model and AR(3) model yields even better results of forecasting in this study. However, the comparison of BPNN model with NN model (early stopped by setting target error=0.20)+AR model shows that for the same initial weights and the same output accuracy, the NN+AR model consumes much less computation time especially the node numbers in the neural network model is large.
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Flood forecasting
General subdivision Chao Phraya River
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tawatchai Tingsanchali,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huynh, Ngoc Phien,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name MBabel, Mukand Singh,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element The STARR Foundation,
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-99-1
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B06608">http://203.159.5.9/ait-thesis/detail.php?q=B06608</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 000825
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120592463
CREATED CREATED : 2014-03-20
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CREATED CREATED : 2016-03-22
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.WM-99-1 30050120592463 18/08/2026 3 18/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no.WM-99-1 30050160043013 18/08/2026   18/08/2026 40-Archives
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