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从美国玉米带的多个农业生态系统中模拟的氧化排放,使用修改的SWAT-C模型

Kang Liang¹, Junyu Qi¹, Xuesong Zhang²

¹Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA.

Environmental pollution (Barking, Essex : 1987)

|September 14, 2023

概括

改善农业模式对氧化 (N2O) 排放至关重要. 该研究发现,去化过程对N2O排放有显著影响,基于CENTURY的算法在SWAT-C模型中最能代表这些影响.

科学领域:

环境科学环境科学
农业科学农业科学
气候科学气候科学

背景情况:

农业是大气氧化 (N2O) 排放的重要来源.
在规模上准确地建模农业保护实践中的N2O排放是具有挑战性的.
现有的基于过程的模型需要改进以有效地捕捉N2O动态.

研究的目的:

在土壤和水评估工具-碳 (SWAT-C) 模型中集成和评估多个N2O排放算法.
评估不同模型配置在不同玉米生产系统和保护实践下模拟N2O排放的性能.
确定最有效的算法来表示农业环境中的化和脱化过程.

主要方法:

将六个化和七个脱化N2O排放算法集成到SWAT-C模型中.
在美国中西部的五个地点使用14种实验性治疗和83个治疗年来评估模型的性能.
使用统计指标 (R2,NSE,BIAS) 来评估每日和年度平均N2O排放的模拟准确性.

主要成果:

根据SWAT-C模型显示,N2O排放模拟的显著变化取决于算法配置.
发现脱过程对N2O排放的影响比化更大.
基于CENTURY模型的算法,包括土壤pH值和呼吸,提供了最佳的模拟准确性,解释了63%的年度N2O变化 (NSE=0.60,BIAS=-0.033).

结论:

增强的SWAT-C模型,特别是基于CENTURY的算法,可以合理模拟农业保护实践对N2O排放的影响.
该研究强调了在N2O排放模型中准确地表示脱和土壤因素 (如pH和呼吸) 的重要性.
改进的SWAT-C模型为管理和减轻农业生态系统N2O排放提供了有价值的工具.

关键词:

农业生态系统农业生态系统农作物管理作物管理温室气体温室气体是一种温室气体.基于过程的建模.

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