IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change

IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change

The phenomenon of climate change exerts a substantial influence on the water consumption patterns of agricultural crops, thereby affecting the overall demand for irrigation water and regional water security. The quantitative assessment of future changes in irrigation water requirements has great imp...

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Bibliographic Details
Main Authors:	Chiheng Dang, Hongbo Zhang, Congcong Yao, Dengrui Mu, Fengguang Lyu, Yu Zhang, Shuqi Zhang
Format:	Article
Language:	English
Published:	Elsevier 2024-02-01
Series:	Agricultural Water Management
Subjects:	Irrigation water requirement Bias correction ETo LSTM QTM
Online Access:	http://www.sciencedirect.com/science/article/pii/S0378377423005085

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