Short-Term Predictions of Hydrological Events on an Urbanized Watershed Using Supervised Classification-Reference-Cited by-同舟云学术

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Short-Term Predictions of Hydrological Events on an Urbanized Watershed Using Supervised Classification

Published:2016-07-05 Issue:12 Volume:30 Page:4329-4343
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Erechtchoukova M. G.,Khaiter P. A.,Saffarpour S.

Funder

Mitacs (CA)

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-016-1423-6.pdf

Reference40 articles.

1. Aqil M, Kita I, Yano A (2007) Neural networks for real time catchment flow modeling and prediction. Water Resour Manag 21:1782–1796

2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000) Artificial neural networks in hydrology. I: preliminary concepts. J Hydrol Eng 5(2):115–123

3. Athanasiadis IN, Mitkas PA (2007) Knowledge discovery for operational decision support in air quality management. J Environ Inform 9(2):100–107

4. Bhattacharya B, Solomatine DP (2005) Neural networks and M5 model trees in modelling water level-discharge relationship. Neurocomputing 63:382–396

5. Birant D (2011) Comparison of decision tree algorithms for predicting potential air pollutant emissions with data mining models. J Environ Inform 17(1):46–53

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