Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems
نویسندگان
چکیده
The traditional least squares method for the retrieval of CO2 emissions from emission sources is affected by nonlinear characteristics Gaussian plume model, which leads to optimal estimation easily falling into local minima. In this study, ACA–IPFM (ant colony algorithm and interior point penalty function) proposed remedy shortcomings method, makes full use global search property ant exact capability function make closer optimum. We evaluate errors several parameters that are most likely affect accuracy analyze these jointly. These include wind speed measurement error, direction concentration number measurements. When error less than 20%, inverse 1% uncertainty 3%, when 55 degrees, 10%, 3.3%, quantity higher 60, 3%. addition, we simulate observations on different paths under same conditions, invert based simulated values. Through results, caused measurements, have demonstrated resulting in inversion accuracies conditions end, can provide some reference actual route planning mobile system. Combined with agility system, extend monitoring a wider area.
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2022
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos13081249