Method and device for estimating nitrous oxide greenhouse gas emissions from farmland soil

Abstract

The present invention is a method and device for estimating greenhouse gas emissions of nitrous oxide from farmland soil, the method comprising the following steps: S1, running the SWAT semi-distributed hydrological model, and simulating and obtaining soil environmental parameters at different spatial locations; S2, using literature and measured data Collect and construct soil physical and chemical properties and corresponding N 2 O emissions database, build soil N 2 O emissions - the nonlinear model of soil environmental parameters; S3, using the Python language to couple the parameters in step S1 with the nonlinear model of step S2, the soil N of the whole watershed 2 Dynamic calculation of O emission flux; S4, use Python language to realize soil N 2 O automatic display of temporal and spatial changes in emissions; S5, use Python language to realize soil N under different scenarios 2 Automated comparative analysis of O emissions; this method not only ensures calculation accuracy, but also can quickly and effectively measure soil N in the whole watershed. 2 O emissions assessment.

Description

technical field [0001] The invention belongs to the technical field of soil nitrogen loss simulation, and relates to a simple and quick method and device for estimating agricultural non-point source nitrogen loss, in particular to a method and device for estimating nitrous oxide greenhouse gas emissions from farmland soil. Background technique [0002] Soil N 2 Excessive discharge of O can cause soil nitrogen loss and cause serious pollution to the atmospheric environment. What is currently known about soil N 2 The production process of O mainly includes: nitrification and denitrification microbial processes, etc. This process is mainly affected by factors such as soil temperature, water content, and soil nitrogen content. Climate, soil physical and chemical properties, and agricultural management measures can affect soil N alone or interact together. 2 O emission, resulting in soil N 2 O emissions have complex emission patterns and large spatiotemporal variability. For...

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Problems solved by technology

However, the mechanism model is often difficult to operate due to the large number of parameters required and the long-term measured values

[0005] To sum up, the single statistical model or the mechanism process model has the problem of large uncertainty of the statistical model and the problem of the verification of the mechanism process model that requires a large amount of measured data. These two types of models have their own advantages and disadvantages. How to effectively integrate various Advantages of the method, fast and effective realization of soil N in the whole watershed 2 O emission simulation has become one of the technical problems to be solved urgently by those skilled in the art

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