Abstract
The realization of really working, on-line system for evaluation of pollution of water processes requires to represent the complexity of such phenomenon. The multi-layered structure of distributed information systems under different responsibilities identify some problems for developing of an adequate decision support system (DSS) working on-line. The aim of this research is to develop the interoperable infrastructure of multi-dimensional data warehouses working on-line for integration of monitoring data, enabling the conditions for more adequate decisions. The design approach includes the constructions of the knowledge base with some layers of representation, including the domain specific ontology, which are needful for evaluation of impacts of water pollution. The results are integrated with the structures of the ISMA database, EuroWaterNet, Water Resource Management Information System – WRMIS, following the requirements of EU Water Framework Directive (2004). The presented results on integration of information sources and collaboration workflows help in searching of suitable indicators for revealing the situations of water pollution from wastewater bodies and can help to retrieve the main objects which influence the monitoring of effluxes in the Baltic Sea.
Highlights
The some scientific problems are arising in the development of big data warehouses, such as the ensuring of the interoperability of multi-dimensional data structures, which maintain data flows from different data sources in accounting of water management sector; developing of adequate decision support models; synchronization of real data streams (Kadadi et al, 2014; Khouri et al, 2012; Dzemydienė et al, 2016)
The results show the examples of designing of meta-data models of the repositories of the data warehouses by integration of some kinds of workflow models of processes
The presented results show the picture of complex problems under consideration
Summary
The some scientific problems are arising in the development of big data warehouses, such as the ensuring of the interoperability of multi-dimensional data structures, which maintain data flows from different data sources in accounting of water management sector; developing of adequate decision support models; synchronization of real data streams (Kadadi et al, 2014; Khouri et al, 2012; Dzemydienė et al, 2016). The developing of adaptable DSS by integrating all working information systems (ISs) will be proposed for water sector by paying more attention to wastewater pollution evaluation processes Such efforts are backgrounded under the achieving of the common goals of the Helsinki Convention adopted in 1994 (HELCOM, 1994) for countries which are responsible to preserve and restore the ecosystems of the Baltic Sea. The complexity of assessment of the environmental pollution situations has straight relation with the evaluation criteria, classification of water resources, dynamicity of sewage contamination processes, and right treatment of pollution factors of all environmental points. The aim of this research concerns the development of infrastructure of framework with integration possibilities of some kinds of heterogeneous points for monitoring data, and analyzing the influence of factors to the evaluation of processes of assessment of the quality of water in some regions of Baltic Sea. We assume, that creation of the domain specific ontology can help in water treatment processes and became an important instrument for achieving the interoperability of distributed data warehouses. Journal of Environmental Engineering and Landscape Management, 2021, 29(1): 9–20
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