CD Disertasi
Model Distribusi Emisi Gas Buang Kendaraan Bermotor Dalam Persfektif Hukum Di Kota Pekanbaru
Air pollution will make the city environment unhealthy and can interfere with human health, therefore one must strive to not increase air pollution. One way to reduce air pollution in cities is to reduce carbon emissions and build Green Open Spaces (GOS). Therefore, the purpose of this study is to create a model for distribution of motor vehicle exhaust emissions in the city of Pekanbaru. Materials and Methods: Air pollution at a certain level can be a combination of one or more pollutants, either in the form of solids, liquids or incoming gases dispersed into the air and then spread to the surrounding environment. Further analysis of environmental factors in the form of socio-cultural, economic and ecological factors are explored in this study. Other important environmental parameters in pollutant studies are ecological factors as well. While the economic factors in question is the willingness to pay, it shows the minimum cost needed to anticipate the amount of exhaust emissions caused by motorized vehicles and calculate the economic value associated with public health. Results: The emission of gas produced by each vehicle is below the predetermined standard quality threshold, namely LH Regulation No. 12 of 2010. Although the measurement results in Table 1 do not exceed ambient air quality standards, but the increase in a trend that can cause air quality deterioration was detected. Conclusion: The results obtained from this study are a model of exhaust gas distribution in the form of gas emission distribution contours supported by ecological data (E), economics (E) and socio-cultural (S), especially in creating recommendation models in policy making both in the form of laws, government regulations or regional regulations, which is the simplest prerequisite for motor vehicle owners when the vehicle registration is extended. This model is better known as the E2S + H model
Keywords: Model, Gas Emission, Anomaly
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