Modeling Emissions of Construction and Mining Equipment by Tracking Field Operations

摘要: Construction and mining industries are using more than 20% of all non-road engines listed as the third largest contributor to greenhouse gases (GHGs) emission globally. GHGs emitted from in construction sites have not been fully investigated yet. Normally, government agencies contractors estimate pollution approximately based on consumed fuel for tax purpose. Despite research conducted this area recent years, there is no accurate model measure different at operational level. This paper aims develop an integrated framework rates carbon monoxide (CO), dioxide (CO2) hydrocarbon (HC) machinery employed sites. Real-time engine data collected by Data Logger GPS/INS instruments analysed emissions. The results further validated comparing against outputs a portable measurement system (PEMS). Specific process was carried out synchronize raw three channels. also considers fuel-to-emission chemical relations, specifications effective factors pollutants rate. developed has through estimation with PEMS laboratory experiments. As show, correlation coefficient (R 2 ) ordinary least square (OLS) regression relations emissions higher 0.9. Also, SPSS Software show R load