Application of artificial neural networks for rainfall forecasting in Mumbai (Record no. 6477)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
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fixed length control field 110314s2009 th uu|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12092265
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.WM-08-05
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Badgujar, Girish
245 10 - TITLE STATEMENT
Title Application of artificial neural networks for rainfall forecasting in Mumbai
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. 2009
300 ## - PHYSICAL DESCRIPTION
Extent 66 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. WM-08-05
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 2009
520 ## - SUMMARY, ETC.
Summary, etc. Accurate forecast of both spatial and temporal distribution of rainfall is necessary for flood management in urban areas. Mumbai is one of the metropolitan cities in India. It receives high intensity rainfall during four monsoon months. High intensity rainfall and poor drainage system causes flooding in Mumbai almost every year. In the present study three different short term rainfall forecasting models were developed, using ANN, to forecast rainfall from 1 to 4-hr ahead at Santa Cruz station in Mumbai. The inputs for the first model, Model A, were rainfall time series at Santa Cruz station, The inputs for Model B were rainfall and other meteorological namely, temperature, atmospheric pressure, relative humidity and wind speed of Santa Cruz station. The inputs for Model C were selected using Mutual Information technique from rainfall and meteorological variables of Santa Cruz station and surrounding Colaba station. Continuous time series data from June to September was used for model development. 2 and 1 year data was used for training and cross validation while 1 year data used for testing. Normalized Mean Square Error (NMSE) was used to evaluate the performance of the developed models. For 1-h forecast, the least NMSE (0.65) was observed in Model C. For 2, 3 and 4-h forecasts model B gives lower NMSE. Model A always produced high NMSE. It was found that MI technique successfully identified input variables for 1-h forecasts. Moreover, the rainfall at Santa Cruz station cannot be forecasted by only using historical time series of rainfall data. Higher lead period forecasts were found to be dependent on target station input variables.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Rain and rainfall
Geographic subdivision India
-- Mumbai
General subdivision Forecasting
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Babel, Mukand Singh,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Clemente, Roberto S.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sutat Weesakul,
Relator term Examination committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Tawatchai Tingsanchali,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Thailand (HM King),
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-08-05
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B04300 ">http://203.159.5.9/ait-thesis/detail.php?q=B04300 </a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 110314
First date, FD (RLIN) m
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Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
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CREATED CREATED : 2014-03-31
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      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Thesis no.WM-08-05 30050120550396 17/08/2026 3 17/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Thesis no.WM-08-05 30050120233217 17/08/2026   17/08/2026 40-Archives
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