Abstract
In the context of the complexity of the environmental system, this paper addresses the problem of environmental modeling,
considering the global aspects of sustainability as well as the linkage between environmental and economic issues. The survey on
integrated modeling highlights that the complexity of the environmental problems should be approached on the basis of multidisciplinary
cooperation and studies. Furthermore, the European environmental standards and products quality standards impose
to various actors and stakeholders rethinking their policies, as well as upgrading their production technologies to offer a number
of competitive advantages, especially in foreign markets. Therefore, the present work analyses the integrated modeling of
economic and environmental problems associated with difficulties of a long transition to a sustainable, smart and inclusive
economy, which should contribute decisively to the development of new decision-making approaches and supports necessary for
decision and policy making. The environmental modeling context is addressed by considering the system under study as a whole,
including organically the interaction between constituent parts when quantitative processing is applied, just as it actually
corresponds to actual behaviour. Also, integrated environmental modeling is discussed in the largest context of environmental and
economic decision making and policies.
Some problems associated to modelling in pollution prevention and control are analyzed, considering the modelling of pollutants
fate and dispersion in the environment, environmental impact of production and consumption, modelling in environmental
remediation and clean-up, as well as modelling approaches on the relationship between economic development, pollution control
and costs and benefits in environmental purification. It is highlighted that models offer a support for understanding environmental
behavior and forecasting the effects of actions developed for environmental remediation and pollution mitigation. The main
upshot is that the translation of results in practice as support for decision and policies making in socio-economic, social and
environmental systems should be an intrinsic part of the modeling process, instead of being separated from it.