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Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field
China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China.;Natl Field Sci Observat & Res Stn Efficient Water, Wuwei 733009, Peoples R China..
China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China.;Natl Field Sci Observat & Res Stn Efficient Water, Wuwei 733009, Peoples R China..
Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China..
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering.ORCID iD: 0000-0002-9727-4037
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2022 (English)In: Agricultural and Forest Meteorology, ISSN 0168-1923, E-ISSN 1873-2240, Vol. 326, article id 109145Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 326, article id 109145
Keywords [en]
Mulch -irrigation, CoupModel, Water -energy coupling, Parameter sensitivity analysis, Uncertainty analysis
National Category
Agriculture, Forestry and Fisheries
Identifiers
URN: urn:nbn:se:kth:diva-321400DOI: 10.1016/j.agrformet.2022.109145ISI: 000874891800001Scopus ID: 2-s2.0-85139221925OAI: oai:DiVA.org:kth-321400DiVA, id: diva2:1711145
Note

QC 20221116

Available from: 2022-11-16 Created: 2022-11-16 Last updated: 2025-02-07Bibliographically approved

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Jansson, Per-Erik

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