Abstract

The purpose of this research is the developing of decision support system (DSS) by integrating all working information systems (ISS) for wastewater pollution evaluation processes by contributing in achieving the common goal of the Helsinki Convention (HELCOM) for countries to preserve and restore the ecosystems of the Baltic Sea. Research methodology based on design approach for the development of DSS as a multi-layered system with the multi–componential, interoperable structure of databases (DBs), data warehouses, and IS, which are under the responsibility of different public administration institutions. Findings – 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 objects in districts of Lithuania and the effluxes in the Baltic Sea. Research limitations – the complexity of pollution processes and the multi-layered structure of distributed ISs under different responsibilities identify problems and requirements for adequate DSS working online. Practical implications – the results will help for influencing the decisions provided for responsible institutions of Lithuania and other members of the HELCOM, responsible for the protection of the marine environment of the Baltic Sea. Originality/Value intend to assess the sustainability requirements in the wastewater sector, by providing integrated collaboration of ISs.

Highlights

  • The main scientific problem aroused in the sustainable development research area is the complexity of assessment of the environmental pollution situations related to the management of water resources and sewage contamination

  • New 17 Sustainable Development Goals (SDGs) and 169 targets we found in the Agenda for Sustainable Development of Transforming our World until the 2030 year, which adopted on 25 September 2015 by Heads of States and Governments at a special UN Summit (Agenda 2030, 2015)

  • The results presented in this paper describe the framework of information infrastructure for evaluation of water resources, allowing the integration of different data warehouses and databases which are distributed by different responsibilities of institutions

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Summary

Introduction

The main scientific problem aroused in the sustainable development research area is the complexity of assessment of the environmental pollution situations related to the management of water resources and sewage contamination. Research in this field is intended to assess the feasibility of sustainable development requirements in the sewage management sector. As related works in the area of development of (DSS) can be mentioned some works proposed by (Baltrėnas, Januševičius, & Chlebnikovas, 2017) in the area of air pollution, (Marčiulaitienė, Šerevičienė, Baltrėnas, & Baltrėnaitė, 2016) in the pollution of Baltic Sea region, and others by (Mysiak, Giupponi, & Rosato, 2005) in the area of environment protection under the MULINO project for water resources management. The research in the area of on-line monitoring networking developments with artificial intelligence properties can help to eliminate such limitations for developing the adaptable DSS in the future

The context of decisions providing for water protection requirements
The infrastructure of information systems in the wastewater treatment sector
Findings
Conclusions
Full Text
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