Soil Moisture and Crop Evapotranspiration Forecast for Winter Wheat Based on Weather Information in North China Plain
Zhandong Liu, Anzhen Qin, Aiwang Duan, Jiyang Zhang, Jingsheng Sun, Dongfeng Ning, Ben Zhao, Zhaorong Mi, Zugui Liu
Available Online March 2017.
- https://doi.org/10.2991/msam-17.2017.67How to use a DOI?
- irrigation forecast; prediction model; crop water requirement; precipitation
- Soil moisture and crop evapotranspiration (ETc) forecast based on weather information is a basis for realizing precise irrigation, which could be an innovative technique for water–saving strategy in irrigated district. Combined with long–term experimental data in People's Victory Canal irrigated district, we put forward a systematic soil moisture forecast method for winter wheat using related weather information. In this study, hourly soil moisture was automatically monitored by a soil moisture monitoring system. Weather information for the following two weeks was automatically acquired. Combined with ETc, soil moisture forecast can be used to predict irrigation time and amount which differs among growth stages of winter wheat. In particular, irrigation time can be decided by monitoring soil moisture when reaching to lower limit of soil moisture for winter wheat, and the irrigation amount can be determined by calculating soil water storage needed to meet planned wetting layer according to crop growth monitoring. Parameters in soil moisture and crop evapotranspiration forecast models were determined using Levenberg–Marquardt regression. Validation test suggests that the models we developed are reliable. We conclude that the models can serve as a useful tool for future irrigation forecast.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhandong Liu AU - Anzhen Qin AU - Aiwang Duan AU - Jiyang Zhang AU - Jingsheng Sun AU - Dongfeng Ning AU - Ben Zhao AU - Zhaorong Mi AU - Zugui Liu PY - 2017/03 DA - 2017/03 TI - Soil Moisture and Crop Evapotranspiration Forecast for Winter Wheat Based on Weather Information in North China Plain BT - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017) PB - Atlantis Press SP - 295 EP - 299 SN - 1951-6851 UR - https://doi.org/10.2991/msam-17.2017.67 DO - https://doi.org/10.2991/msam-17.2017.67 ID - Liu2017/03 ER -