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使用脱和分解模型模拟土地应用生物固体和肥料的碳分解和排放的新框架

Ruth Sitienei¹, Zhiming Qi², Brian Grant³

¹Department of Bioresource Engineering, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada; Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, Ontario K1A 0C6, Canada.

The Science of the total environment

|February 26, 2025

概括

改进的脱和分解 (DNDC) 模型准确模拟生物固体和肥应用的二氧化碳排放. 改进改善了对作物产量,土壤状况和碳分解的预测,以改善农业管理.

科学领域:

农业科学农业科学
环境科学环境科学
土壤科学土壤科学

背景情况:

准确估计二氧化碳 (CO2) 排放的土地应用的生物固体和便对环境管理至关重要.
现有的模型需要改进,以有效模拟这些排放及其对土壤有机物的影响.

研究的目的:

增强脱和分解模型 (DNDC) 以改善生物固体和肥应用的二氧化碳排放模拟.
通过使用来自不同农业场所和土壤修改类型的数据来验证增强的DNDC模型.

主要方法:

修改了DNDC模型,将一个独特的肥碳池纳入其中,以区分肥分解与土壤有机物.
改进了模型对土壤温度对有机物分解的影响的模拟.
对加拿大多个地点的作物产量,土壤温度,土壤水分和二氧化碳流量的现场数据验证了增强的DNDC模型.

主要成果:

改进的DNDC模型准确地模拟了所有测试地点的作物产量 (rRMSE 4.1-30.1%).
与默认版本 (0.61 ≤ d ≤ 0.9) 相比,改进的模型在模拟二氧化碳流 (0.78 ≤ d ≤ 0.93) 中表现出更好的性能.
该模型有效地模拟了土壤温度 (d ≥ 0.88) 和湿度 (0.53 ≤ d ≤ 0.91),在特定生物固体处理过程中显著改善了CO2排放时间和精度.

结论:

增加一个单独的肥料碳池和改进的温度功能显著提高了DNDC模拟土壤碳分解和二氧化碳排放的能力.
增强的DNDC模型为评估综合作物-牲畜-肥系统的最佳管理实践提供了有价值的工具.
这种改进的建模能力可以帮助减少对合成肥的依赖,并优化农业中的营养管理.

关键词:

的二氧化碳排放量.农作物产量增加农作物产量增加在 DNDCDC 中,您可以使用 DNDC.分解分解是什么意思用于肥的应用.市政生物固体市政生物固体

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