A Pesticide Residue Pollution Evaluation Method Based on Multi-factor and AHP-E Model

Abstract

The invention discloses a multi-factor pesticide residue pollution comprehensive evaluation method based on the AHP-E model, which comprehensively detects the multi-attribute factors in the results to obtain the pesticide residue pollution degree of different agricultural products and different time periods; including: multiple data The set is pretreated; the analytic hierarchy process is used for comprehensive evaluation to obtain the pesticide residue pollution index of specific agricultural products; the entropy value method is used to comprehensively evaluate the pesticide residue pollution in each time period, and the pesticide residue pollution index in a specific time period is obtained. The method of the present invention can comprehensively detect the multi-attribute factors in the results, and comprehensively evaluate the pesticide residue pollution of various agricultural products and different time periods, highlight the sampling time period with abnormal pesticide residue pollution, and effectively highlight the pesticide residues in different time periods Differences in the degree of residual contamination.

Description

technical field [0001] The invention relates to the technical field of data analysis and pollution evaluation, in particular to a method for evaluating pesticide residue pollution based on multi-factor and AHP-E models. Background technique [0002] In the process of agricultural planting, in order to control diseases, insect pests and weeds and regulate plant growth rate, it is usually necessary to alternately apply multiple pesticides on agricultural products. Although the use of pesticides helps to increase production, if used in excess of the standard, it will pose a threat to human health and become a major hidden danger to food safety. In order to ensure food safety, control and standardize the rational use of pesticides, the governments of various countries have formulated the maximum residue limit (Maximum Residue Limit, MRL) standard according to the food safety standards of the International Codex Alimentarius (CAC) and the national conditions, and regularly check ...

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Problems solved by technology

This type of method has two shortcomings: ①Using single indicators such as the frequency of pesticide detection, the frequency of exceeding the standard, the detection rate, and the rate of exceeding the standard to evaluate the degree of pesticide residue pollution in agricultural products can only reflect the situation of pesticide residue pollution from a certain angle. Other attribute factors such as detected pesticide toxicity and other information are ignored, and it is impossible to comprehensively analyze and evaluate the pesticide residue pollution of agricultural products; In order to further discover the distribution and changes of time-series pesticide residue pollution, the detection rate, Exceeding the standard rate is used as the evaluation result of pesticide residue pollution in each time period, and it cannot highlight the impact of some agricultural products with abnormal pesticide residue detection in time series on the time series distribution and change process used to analyze pesticide residue pollution, and the impact of abnormal pesticide residue detection in time series. Sampling period for residual contamination

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