Abstract
Water is a key environmental factor for the life of humans, animals, and plants representing an indispensable resource for the economy. The state of water resources is important both in terms of quantity and quality. To use and effectively protect water resources and ecosystems of Europe against pollution, climate change and marine waste, it requires coordinated action at European Union (EU) level. In this respect, the EU has established a community framework for the protection of water resources management by developing water directives. An important step to develop sustainable management plans of surface and groundwater resources is forecast of their quality evolution. To achieve this, it requires modeling the phenomena that occur in surface and groundwater (viz. hydrodynamic modeling and propagation of various substances which pollute water with diffuse and/or point pollution sources and due to various accidents), which is possible using advanced hydroinformatic modeling tools with satisfactory precision. The detailed results obtained from modeling increase general understanding of the evolution of water quality and support authorities to act (in time and space), in case of pollution, according to the management plans, based on plans risk management of pollution of water resources. This chapter shows the necessity and usefulness of advanced hydroinformatics tools in modeling of the evolution of water quality. We present several modelling tools, such as MODFLOW—with ASMWIN and PMWIN variants; MIKE BY DHI and FEFLOW. In the last section, we present some examples of application of these softwares.
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Acknowledgements
For the examples from points 3.5 and 3.6, the MIKE 11 program was acquired through projects LLP-LdV-ToI-2011-RO-002/2011-1-RO1-LEO05-5329 and POSCCE—ACTEX ID1827/SMIS48741 was applied.
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Beilicci, E., Beilicci, R., Visescu, M. (2021). Modeling the Evolution of Surface and Groundwater Quality. In: Vaseashta, A., Maftei, C. (eds) Water Safety, Security and Sustainability. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-76008-3_30
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DOI: https://doi.org/10.1007/978-3-030-76008-3_30
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