Artificial neural network modeling for identification of unknown pollution sources in groundwater with partially missing concentration observation data

Author： Singh Raj   Datta Bithin  

Publisher： Springer Publishing Company

ISSN： 0920-4741

Source： Water Resources Management, Vol.21, Iss.3, 2007-03, pp. : 557-572

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation

By Trichakis Ioannis  

Water Resources Management, Vol. 25, Iss. 4, 2011-03 ,pp. : 1143-1152

Springer Publishing Company

Access to resources Recommend Favorite

Modelling nitrate pollution of groundwater using artificial neural network and genetic algorithm in an arid zone

By Eslamian Saeid   Lavaei Niloufar  

International Journal of Water, Vol. 5, Iss. 2, 2009-09 ,pp. : 194-203

Inderscience Publishers

Access to resources Recommend Favorite

Identification of Pollution Sources in Transient Groundwater Systems

By Mahar P.S.  

Water Resources Management, Vol. 14, Iss. 3, 2000-06 ,pp. : 209-227

Springer Publishing Company

Access to resources Recommend Favorite

Efficient Identification of Unknown Groundwater Pollution Sources Using Linked Simulation-Optimization Incorporating Monitoring Location Impact Factor and Frequency Factor

By Datta Bithin   Prakash Om   Campbell Sean   Escalada Gerry  

Water Resources Management, Vol. 27, Iss. 14, 2013-11 ,pp. : 4959-4976

Springer Publishing Company

Access to resources Recommend Favorite

Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India

By Mohanty Sheelabhadra  

Water Resources Management, Vol. 24, Iss. 9, 2010-07 ,pp. : 1845-1865

Springer Publishing Company

Access to resources Recommend Favorite