Reservoir Evaporation Prediction Using Data-Driven Techniques-Reference-Cited by-同舟云学术

Reservoir Evaporation Prediction Using Data-Driven Techniques

Published:2013-01 Issue:1 Volume:18 Page:40-49
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Arunkumar R.¹,Jothiprakash V.²

Affiliation:

1. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India.

2. Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000597

Reference62 articles.

1. Evaporation rate at Wadi El-Rayan Lake, Egypt;Abd Ellah R. G.;World Appl. Sci. J.,2009

2. Evaporation Estimation for Lake Okeechobee in South Florida

3. Allen R. G. Pereira L. S. Raes D. and Smith M. (1998). “Crop evapotranspiration—Guidelines for computing crop water requirements.” FAO Irrigation and Drainage Paper 56 Food and Agriculture Organization Rome Italy.

4. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

5. Artificial Neural Networks in Hydrology. II: Hydrologic Applications

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