Gray Models for Real-Time Groundwater-Level Forecasting in Irrigated Paddy-Field Districts-Reference-Cited by-同舟云学术

Gray Models for Real-Time Groundwater-Level Forecasting in Irrigated Paddy-Field Districts

Published:2016-01 Issue:1 Volume:142 Page:04015036
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Kang Min Goo¹,Maeng Seung Jin²

Affiliation:

1. Research Fellow, Future Resources Institute, Woolim Lions Valley C-405, 371-28 Gasan-dong, Geumcheon-gu, Seoul 153-786, Republic of Korea (corresponding author).

2. Professor, Dept. of Agricultural and Rural Engineering, College of Agriculture, Life and Environment Sciences, Chungbuk National Univ., Cheongju 362-763, Republic of Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IR.1943-4774.0000940

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2. Modular neural networks to predict the nitrate distribution in ground water using the on-ground nitrogen loading and recharge data

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5. Artificial neural network modeling of water table depth fluctuations

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