期刊
AGRICULTURAL AND FOREST METEOROLOGY
卷 326, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.agrformet.2022.109145
关键词
Mulch -irrigation; CoupModel; Water -energy coupling; Parameter sensitivity analysis; Uncertainty analysis
资金
- National Natural Science Foundation of China [51879262, 41901266, 42111530184]
- National Key Research and Development Program of China [2020YFA0607504, 2016YFA0600204]
- Natural Science Foundation of Jiangsu Province [BK20190317]
- Fundamental Research Funds for the Central Universities [14380027]
- Swedish Research Council [VR 2020-05338]
- Swedish National Space Agency [209/19]
- Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province
This study provided a clear simulation of water and energy fluxes in the IUM system, identified important parameters for characterizing the impacts of plastic mulching, and highlighted the strong coupling between water and energy processes in agricultural ecosystems.
Globally, water-saving irrigation plays a vital role in agricultural ecosystems to achieve sustainable food pro-duction under climate change. Irrigation under mulch (IUM) system has been widely used in modern agricultural ecosystems due to its high water use efficiency, but it remains unclear how each component of the water and energy processes responds to this agricultural management practice. Current modeling approaches are inade-quate in investigating the impacts of IUM management on water-energy balance, which have shown more complicated than non-mulched management. Therefore, this study provided an explicit simulation of water and energy fluxes in IUM system using a process-oriented ecosystem model-CoupModel and the three years of the eddy covariance (EC) measurements. Based on Monte Carlo and the multiple model performance evaluation criteria, most of the model sensitive parameters were well constrained and 32 potentially important parameters, e.g., iscovevap, the fraction of mulch coverage, were identified to characterize the impacts of plastic mulching on energy balance and water transport. After proper calibration, the coefficient of determination (R2) for measured and simulated soil temperature (T) and soil water content (SWC) was 0.79 and 0.60, respectively, and the R2 for T and SWC during the validation period were 0.91 and 0.71, respectively. Furthermore, we found that there was a strong coupling between the parameters of the water and energy processes, which would restrict the simulation results due to the correlation between the parameters and the evaluation indices. This study presented a sys-tematic model parameters calibration in the agricultural ecosystem implemented with IUM and provided with a more comprehensive understanding of the water and energy balance in cropland. These results would help agricultural model development with more detailed considerations of the water-saving management.
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