A5012877728- Climate change impacts on agriculture
- Irrigation Practices and Water Management
- Plant Water Relations and Carbon Dynamics
- Greenhouse Technology and Climate Control
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Rice Cultivation and Yield Improvement
- Cryospheric studies and observations
Shanxi Agricultural University
2023-2024
Ministry of Agriculture and Rural Affairs
2023-2024
Aarhus University
2020-2023
Northwest A&F University
2018-2021
Shanxi Academy of Agricultural Sciences
2021
Crop model parameters usually vary with diverse field management and environment conditions, which hinder the calibration. Sensitivity analysis (SA) uncertainty (UA) for outputs are helpful calibrating crop under conditions. A global SA UA were used to determine maize sensitivity of AquaCrop different irrigation fertilizer i.e. none, slight, moderate stress pertaining water fertility. The results indicated that sensitive maximum above ground biomass (AGB) yield differed from those canopy...
The water-driven AquaCrop model is used extensively for simulating crop growth and water use. A three-year field experiment (2015–2017) of foxtail millet (Setaria italica) that was grown using plastic film mulching (PM) no (NM) conducted in a rain-fed region China to simulate canopy cover (CC), biomass, soil content (SWC), yield, evapotranspiration (ETc), use efficiency (WUE). year 2015 much drier warmer than the two other years. calibrated data from 2016 validated 2017. Simulations CC,...
Reference evapotranspiration (ET0), an essential variable used to estimate crop evapotranspiration, is expected change significantly under climate change. Detecting and attributing the trend in ET0 underlying drivers therefore important adoption of agricultural water management In this study, we focus on a typical region Fenwei Plain northern China use Mann–Kendall test contribution rate detect at annual seasonal scales determine major factors for baseline period (1985–2015) future...
Abstract Fast and efficient calibration is essential for the effective application of crop models. However, many formulas, parameters, nonlinear responses in models make difficult time consuming. Using an intelligent optimization algorithm to calibrate model has advantages global search ability, speed, automatic compared manual trial error method, although performance may depend strongly on objective function used. This study evaluated use improved genetic algorithm, namely elite (EGA), a...
Reference crop evapotranspiration (ET