alexa
Reach Us +441414719275
Development Of Stage-discharge Relationship Using Simple Rating Curve, ANN And Data Transformation Techniques | 9264
ISSN: 2157-7587

Hydrology: Current Research
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

2nd International Conference on Hydrology & Groundwater Expo

Ashu Jain and Harendra Kumar Gupta
ScientificTracks Abstracts: Hydrol Current Res
DOI: 10.4172/2157-7587.S1.008
Abstract
Successful implementation of any hydrologic model relies on the availability of complete and good quality data. There are often missing data (called gaps) in hydrological records. While stage is measured directly, discharge value is calculated from measurements of flow velocity, depth and channel cross-section dimensions. Continuous measurement of flow past a river section is expensive as well as time consuming. The use of traditional methods of stage-discharge (SD) relationship is popular to fill the gaps in the streamflow data. This study is intended to investigate the applicability of Artificial Neural Networks (ANNs) and square root data transformation technique in modeling SD relationships. Three different techniques such as conventional rating curve (RC) method, feed forward neural networks trained using back-propagation (BP) algorithm and radial basis function (RBF) networks were used, where ANN models were developed on the raw and transformed data. The data from the basin of the Maneru River, a tributary of the Godavari River in Andhra Pradesh, India were employed. The SD relationships were developed considering long duration data sets and also considering short duration data sets. The results obtained from the SD relationships suggest that the ANN models developed on the transformed data performed better than the ANN models developed on the raw data. Among the three modeling techniques, RBF models were found to be better than the others. In some cases, models developed on the long duration data sets performed better and in some other cases, models developed on the short duration data sets performed better.
Biography
Ashu Jain is a Professor of civil engineering at IIT Kanpur. He obtained his doctorate from University of Kentucky in 1994. He is a recipient of Endeavour Executive Award 2009 by Ministry of Education, Australia, was awarded International Centre of Excellence in Water Resources Management Fellowship 2008 to visit University of Adelaide, Australia, and Royal Society Fellowship 2005-06 to visit University of Leeds, UK. He is a fellow of Indian Water Resources Society and Indian Society for Hydraulics. His research interests include modeling of hydrologic systems using conceptual and soft computing approaches, and knowledge extraction from trained ANN models.
image PDF   |   image HTML
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2019-20
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri and Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]ne.com

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

ankara escort

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

pendik escort

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2019 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version