干旱区生态环境知识资源中心(Arid): Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning

Arid

DOI	10.1016/j.agwat.2023.108653
	Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning
	Guo, Qinghua; Wu, Wenliang
通讯作者	Wu, WL
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2024
卷号	292
英文摘要	Excessive application of water and nitrogen fertilizer during farmland management practices leads to serious groundwater nitrate pollution. A field experiment was conducted during the spring maize growth period in Alxa, Inner Mongolia, China. The soil Water Heat Carbon Nitrogen Simulator (WHCNS) model was calibrated by the ensemble smoother method (ES(DL)) based on the field experiment. Then dynamics of soil water content, soil water percolation flux, soil nitrate concentration and soil nitrate leaching flux were simulated with the calibrated WHCNS model under different water and nitrogen fertilization treatments within the vadose zone. The main conclusions are as follows: ES(DL) is feasible for the calibration of the WHCNS model. RMSE_Maximum a pos-teriori (RMSE_MAP) of soil water content are 0.0301 cm3 cm-3 and 0.0302 cm3 cm-3 for model calibration and model validation, respectively. RMSE_MAP of soil nitrate concentration are 5.49 mg N kg-1 and 3.86 mg N kg-1 for model calibration and model validation, respectively. Both average soil nitrate concentration and average nitrate leaching flux increase with increasing irrigation amount under the same nitrogen fertilization level for the depths of 1.2 m and 1.8 m. However, average soil nitrate concentration decreased and leaching flux increased with increasing irrigation amount under the same nitrogen fertilization level for the depths of 10 m and 20 m. The study of nitrate dynamics in the deep vadose zone contributes to better understand the procedure of nitrate pollution in groundwater caused by excessive water and nitrogen application.
英文关键词	Deep learning Nitrate leaching WHCNS model Deep vadose zone
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:001165527600001
WOS关键词	LAND-USE CHANGE ; DESERT OASIS ; ACCUMULATION ; NITROGEN ; IRRIGATION ; MAIZE ; YIELD ; OPTIMIZATION ; GROUNDWATER ; MANAGEMENT
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402648
推荐引用方式 GB/T 7714	Guo, Qinghua,Wu, Wenliang. Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning[J],2024,292.
APA	Guo, Qinghua,&Wu, Wenliang.(2024).Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning.AGRICULTURAL WATER MANAGEMENT,292.
MLA	Guo, Qinghua,et al."Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning".AGRICULTURAL WATER MANAGEMENT 292(2024).