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

Author:

Dang ChihengORCID,Zhang HongboORCID,Yao Congcong,Mu Dengrui,Lyu Fengguang,Zhang Yu,Zhang Shuqi

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference48 articles.

1. Prediction of the future impact of climate change on reference evapotranspiration in Cyprus using artificial neural network;Abdullahi;Procedia Comput. Sci.,2017

2. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300, D05109.

3. Impact of climate change on crop irrigation requirements in arid regions;Alotaibi;Water Resour. Manag.,2023

4. Net irrigation requirement under different climate scenarios using AquaCrop over Europe;Busschaert;Hydrol. Earth Syst. Sci.,2022

5. Factors affecting summer maize yield under climate change in Shandong Province in the Huanghuaihai Region of China;Chen;Int. J. Biometeorol.,2012

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