Agricultural residue resource potential assessment method

Abstract

The invention relates to an agricultural residue resource potential assessment method, which comprises the following steps: a) determining the type and parameters of input natural resource big data, the type and parameters being agricultural products and the number of the agricultural products; b) combining an RS-GIS analysis and statistical analysis method to build an agricultural residue resource potential assessment model, the RS-GIS specifically being a remote sensing-geoscience information system; c) running the model on an arcgis platform; d) outputting an agricultural residue resource potential evaluation result with the resolution of 1 kilometer; and e) further calibrating the model according to an input result to improve the accuracy of a model output result. According to the agricultural residue resource potential assessment method provided by the invention, the agricultural residue resource potential assessment precision is improved, crop types in agricultural residue resource potential assessment are enriched, the assessment year span is increased, and an estimation reference is provided for future agricultural residue utilization.

Description

technical field [0001] The invention relates to the field of potential evaluation of agricultural residue resources, in particular to a method for evaluating the potential of agricultural residue resources. Background technique [0002] Biomass resources refer to all kinds of organic matter formed through photosynthesis, which have industrial, agricultural and ecological purposes such as energy production, feed, and fertilizer. Among them, the proportion of agricultural residues composed of agricultural straw and agricultural product residues to biomass resources It is considerable, rich in resources, convenient to collect, and highly available; biomass energy is a carbon-neutral non-fossil energy that plays an important role in CO2 net zero emissions and negative emissions; according to the prediction of my country's biomass resource theory The amount of exploitable resources is 360GWh, but the exploited amount is only 14%. Therefore, identifying the potential of China's high...

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Problems solved by technology

[0003] However, the imprecise potential of agricultural residue resources, unclear spatial distribution, and unclear future potential are important reasons for restricting the energy conversion of agricultural residue biomass resources; through literature review, the evaluation methods of agricultural residue resource potential can be divided into statistical methods and There are two types of RS-GIS (Remote Sensing-GeoInformation system, remote sensing-geoinformation system) methods: the former refers to the use of statistical data such as land area and agricultural production to evaluate the resource potential of biomass history or current status, which is the resource potential evaluation of agricultural residues. The method with the earliest application time and the widest application range has the advantages of simplicity, ease of implementation, good reproducibility, and low cost; the disadvantage is that it is impossible to predict the potential of agricultural residue resources in the future; the current evaluation of the potential of agricultural residue biomass resources has the following problems: insufficient:

[0004] (1) Lack of current assessment of the potential of China's high-resolution agricultural residue resources: Constrained by the incomplete accounting data of agricultural residue resources at the provincial, municipal, and county levels, the current assessment results are not enough to support agricultural residues Effective utilization of resources and precise implementation of biomass energy planning;

[0005] (2) The spatial distribution of different types of crops and the grass-to-grain ratio (i.e. the ratio between the amount of crop stalks and the yield) were not considered in the assessment process: due to the fact that there are many kinds of crops in the same spatial area, and the yields of different types of crops are different 1. Grass-to-grain ratio is different, so the yield per unit area of ​​agricultural residues of different crops is different, which makes the current evaluation results biased;

[0006] (3) The evaluation process does not fully consider the types of crops: there are dozens of crops in the statistical yearbook, but the current evaluation method only considers several major crops such as wheat, corn, and rice, which may seriously underestimate the existing evaluation results. The potential of material resources, and to a certain extent, limit the resource and energy utilization of agricultural residues

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