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A tool to link agricultural activity data with the DNDC model to estimate GHG emission factors in Canada

机译:将农业活动数据与DNDC模型联系起来的工具,以估算加拿大的温室气体排放因子

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摘要

Research is ongoing to develop ways to reduce emissions of greenhouse gases (GHGs) from agricultural sources. A convenient technique to estimate emissions is to develop emission factors for a wide range of management practices. Default emission factors such as those given in the Intergovernmental Panel on Climate Change Tier I methodology are often used but these can result in substantial errors when applied to specific geographical regions. In this paper an interface was developed to link soil, climate and agricultural activity data in Canada with the DeNitrification and DeComposition (DNDC) model to create a modeling tool for estimating emission factors for changes in agricultural management. This tool was also designed to calculate country-specific IPCC Tier II emission factors for comparison against modeled results. The DNDC-Management Factor Tool (DNDC-MFT) was developed to automatically generate soil, climate and agricultural management model input data from national databases for estimating emissions factors for any of 462 ecodistricts across Canada. Six ecodistricts were selected across the major climatic regions to test the tool. The emission factors generated by the DNDC model were significantly different from Tier II values. Much variability in NO emission estimates exist, partly due to limitations in certain biophysical processes in the model and partly due to quality of input data. The DNDC model is very sensitive to climate, size of initial soil C levels, and fertilizer application rates. We should also keep in mind that there is uncertainly associated with Tier II emission factors. The combined NO and soil C factors estimated by the DNDC model are generally comparable to values that are being used to estimate Canada's national inventory (Tier II/III) but only the tillage factor was found to be statistically similar. The DNDC-MFT will be useful for testing the ability of the DNDC model to generate GHG emission factors for many management scenarios across varying climatic regions in Canada. The framework can be extended to include improved versions of DNDC and other ecosystem models.
机译:正在进行研究以开发减少农业来源温室气体(GHG)排放的方法。估算排放的一种便捷技术是为各种管理实践开发排放因子。经常使用默认排放因子,例如政府间气候变化专门委员会第I层方法中给出的排放因子,但是当应用于特定地理区域时,这些排放因子可能会导致重大错误。在本文中,开发了一个界面,以将加拿大的土壤,气候和农业活动数据与脱硝化和分解(DNDC)模型关联起来,以创建用于估算农业管理变化的排放因子的建模工具。该工具还旨在计算国家/地区特定的IPCC Tier II排放因子,以与建模结果进行比较。 DNDC管理因子工具(DNDC-MFT)的开发目的是自动从国家数据库中生成土壤,气候和农业管理模型的输入数据,以估算加拿大462个生态区中任何一个的排放因子。在主要气候区域选择了六个生态区来测试该工具。 DNDC模型生成的排放因子与Tier II值显着不同。 NO排放估算值存在很大差异,部分是由于模型中某些生物物理过程的局限性,另一部分是由于输入数据的质量。 DNDC模型对气候,初始土壤碳水平的大小和肥料施用率非常敏感。我们还应谨记,与Tier II排放因子相关的不确定性。 DNDC模型估算的NO和土壤C因子的总和通常与用于估算加拿大国家清单(Tier II / III)的值具有可比性,但仅耕种因子在统计上相似。 DNDC-MFT对于测试DNDC模型在加拿大不同气候区域的许多管理方案中生成温室气体排放因子的能力很有用。该框架可以扩展为包括DNDC和其他生态系统模型的改进版本。

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