1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m12.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZGivnJRY/KU9yN |
Repository | sid.inpe.br/mtc-m12@80/2006/04.28.18.38 (restricted access) |
Last Update | 2006:12.19.16.21.23 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m12@80/2006/04.28.18.38.18 |
Metadata Last Update | 2018:06.05.00.40.45 (UTC) administrator |
Secondary Key | INPE-14457-PRE/9527 |
ISSN | 0022-1694 |
Citation Key | PereiraFoSant:2006:MoDeUr |
Title | Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data |
Year | 2006 |
Month | Fev. |
Access Date | 2024, May 13 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 513 KiB |
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2. Context | |
Author | 1 Pereira Filho, Augusto José 2 Santos, Cláudia Cristina dos |
Group | 1 2 DSR-INPE-MCT-BR |
Affiliation | 1 Universidade de São Paulo 2 Instituto Nacional de Pesquisas Espaciais |
Journal | Journal of Hydrology |
Volume | 317 |
Number | 1-2 |
Pages | 31-48 |
History (UTC) | 2006-04-28 18:38:18 :: claudia -> marciana :: 2006-05-16 12:09:09 :: marciana -> administrator :: 2006-08-02 21:31:31 :: administrator -> marciana :: 2006-08-02 22:08:49 :: marciana -> administrator :: 2006-09-03 21:43:56 :: administrator -> marciana :: 2007-04-20 14:45:15 :: marciana -> administrator :: 2009-08-12 01:08:39 :: administrator -> marciana :: 2011-05-23 01:04:43 :: marciana -> administrator :: 2018-06-05 00:40:45 :: administrator -> marciana :: 2006 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | GEOCIENCIAS Geosciences models rainfall-runoff urban hydrology artificial neural network weather radar nowcasting |
Abstract | Artificial neural networks (ANN) are widely used in a myriad of fields of research and development, including the predictability of time series. This work is concerned with one of such applications to simulate and to forecast stage level and streamflow at the Tamanduatei river watershed, one of the main tributaries of the Alto Tiete river watershed in Sao Paulo State, Brazil. This heavily urbanized watershed is within the Metropolitan Area of Sao Paulo (MASP) where recurrent flash floods affect a population of more than 17 million inhabitants. Flash floods events between 1991 and 1995 were selected and divided up into three groups for training, verification and forecasting purposes. Weather radar rainfall estimation and telemetric stage level and streamflow data were input to a three-layer feed forward ANN trained with the Linear Least Square Simplex training algorithm (LLSSIM) by Hsu et al. [Hsu, K.L., Gupta, H.V., Sorooshian, S., 1996. A superior training strategy for three-layer feed forward artificial neural networks. Tucson, University of Arizona. (Technique report, HWR no. 96-030, Department of Hydrology and Water Resources)]. The performance of the ANN is improved by 40% when either streamflow or stage level were input together with the rainfall. The ANN simulated flood waves tend to be dominated by phase errors. The ANN showed slightly better results then a multi-parameter auto-regression model and indicates its usefulness in flash flood forecasting. (C) 2005 Elsevier B.V. All rights reserved. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Modeling a densely... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | pereira filho - modeling.pdf |
User Group | administrator claudia marciana |
Visibility | shown |
Copy Holder | SID/SCD |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel documentstage doi e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype |
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7. Description control | |
e-Mail (login) | marciana |
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