Comparison of United States and Russian complex terrain diffusion models developed for regulatory applications

Genikhovich, Eugene; Schiermeier, Francis A.

doi:10.1016/1352-2310(95)00053-2

Cited by 12 publications

(3 citation statements)

References 14 publications

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“…This type of models was discussed in this paper too, but it is obvious that they are "skewed" in the average sense and should be characterized using different indicators of performance. Additional discussion of this problem can be found, for example, in Genikhovich, Schiermeier (1995).…”

Section: Resultsmentioning

confidence: 99%

Indicators of performance of dispersion models and their reference values

Genikhovich

2003

IJEP

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INTRODUCTIONModern approaches to validation of dispersion models upon experimental data are usually based on calculation of different indicators of performance of the models (see for example Ohlesen, 1997). The aforementioned indicators can be considered as certain metrics invented for evaluating the measure of closeness of model predictions and measurements. The procedure of validation starts with generation of the model set of data called "predictions", which mimics a set of data of measurements called "measurements". Then one can use any kind of the concurrent analysis to evaluate the measure of closeness of these two sets or, in other words, to estimate the performance of the model in question.

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Section: Resultsmentioning

confidence: 99%

Indicators of performance of dispersion models and their reference values

Genikhovich

2003

IJEP

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“…Monitoring and improving air quality in built environment and cities are of crucial importance in the Russian Federation and all over the world (Franco et al, 2016;Genikhovich and Sciermeier, 1995;Genikhovich et al, 2002;Jain and Tiwari, 2016;Khreis et al, 2018;Lehtomäki et al, 2018;Lozhkin et al, 2013;Ni et al, 2018;Silva and Mendes, 2012;Singh et al, 2014;Taha, 2015;Zachariadis and Kouvaritakis, 2003;Yumino et al, 2015). Having ratified the Kyoto Protocol, the Convention on Long-Range Transboundary Air Pollution (CLRTAP) and other international acts, the Russian Federation confirmed its adherence to the concept of sustainable development and its intention to produce a considerable reduction in air pollutants and greenhouse gas (GHG) emissions.…”

Section: Introductionmentioning

confidence: 99%

Estimation and Prediction of the Effect of Alternative Engine Technologies and Policy Measures on the Air Quality in St. Petersburg in 2010–2030

Lozhkina¹,

Lozhkin

Ntziachristos

2018

AEJ

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Problems related to the quality of life in big cities are increasingly relevant, especially with regard to environmental issues. Motor transport is responsible for pollutant emissions and noise that decisively affect life in modern cities. In this context, evaluating, monitoring and forecasting urban environmental quality in short-term and long-term perspective has become an important issue for decision making and planning of sustainable cities. Computational model COPERT was applied in the study to obtain long-term projections of road transport-related emission rates for pollutants and greenhouse gases. Three scenarios for St. Petersburg considering the population size, vehicle fleet structure, travel behavior, and fuel consumption are developed. It is shown that the greatest effect in emission reduction can be achieved through modernization of the vehicle fleet. Additional environmental protection measures such as an increase in the share of alternative fuels and promotion of public transportation are expected to result in an additional decline of pollutants and GHG emissions by 7-20% and 5-7%, respectively, in comparison with the Basic Scenario.

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“…A very large amount of literature is available concerning for air compartment [5], surface waters [6], underground water and soil [7] models; these models have different complexity levels and different capacities to correspond to different phenomena, and also to different territorial situations; some difficulties arise when choosing the most suitable model, its validation with reference to the particular system we are interested in and above all the definition of kinetic parameters that are considered as variables in any model.…”

Section: Environmental Impact Map Of Created Concentrationsmentioning

confidence: 99%

Methodological approach for the assessment of technological structure impact and risk

Genon¹,

Brizio²

2007

WIT Transactions on Ecology and the Environment, Vol 102

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The environmental sustainability of technological plants, which is a fundamental requirement for territorial planning, needs the development of different widening moments. First, of all it is necessary to consider the plant as a potential source of pollutant emissions and to verify that the best technologies have been used to limit these fluxes, taking into account economic restraints. Second, the effect of the release on air quality modification should be established, with reference to air quality in particular, in order to be able to make suitable comparisons with recognized standards. Finally, it is necessary to evaluate the pollutant dose that has an impact on the exposed subjects, and the risk that arises from this impact, taking into account both toxicological and epidemiological considerations. The description of this path, with reference to some real cases of substantial impact and public concern, can be considered a methodological outline for the required compatibility assessment.

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Comparison of United States and Russian complex terrain diffusion models developed for regulatory applications

Cited by 12 publications

References 14 publications

Indicators of performance of dispersion models and their reference values

Indicators of performance of dispersion models and their reference values

Estimation and Prediction of the Effect of Alternative Engine Technologies and Policy Measures on the Air Quality in St. Petersburg in 2010–2030

Methodological approach for the assessment of technological structure impact and risk

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