Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field
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Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field. / Wang, Chunyu; Li, Sien; Wu, Mousong; Jansson, Per Erik; Zhang, Wenxin; He, Hongxing; Xing, Xiuli; Yang, Danni; Huang, Siyu; Kang, Dekui; He, Yujiang.
I: Agricultural and Forest Meteorology, Bind 326, 109145, 2022.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field
AU - Wang, Chunyu
AU - Li, Sien
AU - Wu, Mousong
AU - Jansson, Per Erik
AU - Zhang, Wenxin
AU - He, Hongxing
AU - Xing, Xiuli
AU - Yang, Danni
AU - Huang, Siyu
AU - Kang, Dekui
AU - He, Yujiang
N1 - CENPERM[2022]. Publisher Copyright: © 2022
PY - 2022
Y1 - 2022
N2 - Globally, water-saving irrigation plays a vital role in agricultural ecosystems to achieve sustainable food production 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 inadequate 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 systematic 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.
AB - Globally, water-saving irrigation plays a vital role in agricultural ecosystems to achieve sustainable food production 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 inadequate 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 systematic 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.
KW - CoupModel
KW - Mulch-irrigation
KW - Parameter sensitivity analysis
KW - Uncertainty analysis
KW - Water-energy coupling
U2 - 10.1016/j.agrformet.2022.109145
DO - 10.1016/j.agrformet.2022.109145
M3 - Journal article
AN - SCOPUS:85139221925
VL - 326
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
SN - 0168-1923
M1 - 109145
ER -
ID: 325375156