Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field
(2022) In Agricultural and Forest Meteorology 326.- Abstract
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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2022-11-15
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- CoupModel, Mulch-irrigation, Parameter sensitivity analysis, Uncertainty analysis, Water-energy coupling
- in
- Agricultural and Forest Meteorology
- volume
- 326
- article number
- 109145
- publisher
- Elsevier
- external identifiers
-
- scopus:85139221925
- ISSN
- 0168-1923
- DOI
- 10.1016/j.agrformet.2022.109145
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: This work was financially supported by the National Natural Science Foundation of China ( 51879262 , 41901266 , 42111530184 ), the National Key Research and Development Program of China ( 2020YFA0607504 , 2016YFA0600204 ), and the Natural Science Foundation of Jiangsu Province ( BK20190317 ), M.W was also funded by the Fundamental Research Funds for the Central Universities ( 14380027 ). W. Z. was supported by the grants from Swedish Research Council VR 2020-05338 and Swedish National Space Agency 209/19. We wish to thank the staff of National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province. We greatly appreciate the careful and precise reviews by the anonymous reviewers. Their efforts considerably improved the manuscript and study. Publisher Copyright: © 2022
- id
- 698e6caf-f40a-4ab1-9056-6f896c240512
- date added to LUP
- 2022-10-27 22:45:02
- date last changed
- 2023-02-14 07:22:52
@article{698e6caf-f40a-4ab1-9056-6f896c240512, abstract = {{<p>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., i<sub>scovevap</sub>, 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 (R<sup>2</sup>) for measured and simulated soil temperature (T) and soil water content (SWC) was 0.79 and 0.60, respectively, and the R<sup>2</sup> 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.</p>}}, author = {{Wang, Chunyu and Li, Sien and Wu, Mousong and Jansson, Per Erik and Zhang, Wenxin and He, Hongxing and Xing, Xiuli and Yang, Danni and Huang, Siyu and Kang, Dekui and He, Yujiang}}, issn = {{0168-1923}}, keywords = {{CoupModel; Mulch-irrigation; Parameter sensitivity analysis; Uncertainty analysis; Water-energy coupling}}, language = {{eng}}, month = {{11}}, publisher = {{Elsevier}}, series = {{Agricultural and Forest Meteorology}}, title = {{Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field}}, url = {{http://dx.doi.org/10.1016/j.agrformet.2022.109145}}, doi = {{10.1016/j.agrformet.2022.109145}}, volume = {{326}}, year = {{2022}}, }