In this paper, the gas pollutants in motor vehicle exhaust are taken as the research object. The diagnostic index system of motor vehicle gas pollutants on environmental pollution is constructed, based on the environmental pollution caused by motor vehicle exhaust. The emission intensity of various types of vehicles was studied. The least-square method is used to construct the diagnostic functions of different types of vehicle gas pollutants; the vehicle emission factors of different types of motor vehicle gas pollutants are obtained. By exploring the spatial–temporal correlation of vehicle emissions under traffic conditions, uncertainty mathematical theory is used to establish a spatial–temporal diagnosis model of vehicle gas pollutants on environmental pollution, and multiple correlation coefficients are used to conduct accuracy test. The research results can not only determine the pollution problem of motor vehicle emissions to the environment but also effectively evaluate the emission level of gas pollutants in the exhaust gas of motor vehicles. The application results show that the spatial–temporal diagnostic model of vehicle gas pollutants for environmental pollution has better guiding significance and practical value in solving environmental pollution problems.

本文以机动车尾气中的气体污染物为研究对象。基于机动车尾气对环境的污染，建立了机动车气体污染物对环境污染的诊断指标体系。研究了各种类型车辆的排放强度。最小二乘方法用于构造不同类型的汽车气体污染物的诊断功能；获得了不同类型的机动车气体污染物的机动车排放因子。通过探索交通条件下车辆排放的时空相关性，运用不确定性数学理论建立了车用气体污染物对环境污染的时空诊断模型，并利用多个相关系数进行了准确性检验。研究结果不仅可以确定机动车尾气对环境的污染问题，而且可以有效地评价机动车尾气中气体污染物的排放水平。应用结果表明，车用气体污染物的时空诊断模型对解决环境污染问题具有较好的指导意义和实用价值。