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| Main Authors: | , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2013
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| Online Access: | https://doi.org/10.1594/PANGAEA.817327 |
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| _version_ | 1867170032045260800 |
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| author | Stezar, Ileana Codruta Pizzol, Lisa Critto, Andrea Ozunu, Alexandru Marcomini, Antonio |
| author_facet | Stezar, Ileana Codruta Pizzol, Lisa Critto, Andrea Ozunu, Alexandru Marcomini, Antonio |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Brownfield rehabilitation is an essential step for sustainable land-use planning and management in the European Union. In brownfield regeneration processes, the legacy contamination plays a significant role, firstly because of the persistent contaminants in soil or groundwater which extends the existing hazards and risks well into the future; and secondly, problems from historical contamination are often more difficult to manage than contamination caused by new activities. Due to the complexity associated with the management of brownfield site rehabilitation, Decision Support Systems (DSSs) have been developed to support problem holders and stakeholders in the decision-making process encompassing all phases of the rehabilitation. This paper presents a comparative study between two DSSs, namely SADA (Spatial Analysis and Decision Assistance) and DESYRE (Decision Support System for the Requalification of Contaminated Sites), with the main objective of showing the benefits of using DSSs to introduce and process data and then to disseminate results to different stakeholders involved in the decision-making process. For this purpose, a former car manufacturing plant located in the Brasov area, Central Romania, contaminated chiefly by heavy metals and total petroleum hydrocarbons, has been selected as a case study to apply the two examined DSSs. Major results presented here concern the analysis of the functionalities of the two DSSs in order to identify similarities, differences and complementarities and, thus, to provide an indication of the most suitable integration options. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_817327 |
| institution | PANGAEA |
| language | en |
| publishDate | 2013 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | SADA and DESYRE DSSs descriptive classification criteria (main issues related to DSS's) Stezar, Ileana Codruta Pizzol, Lisa Critto, Andrea Ozunu, Alexandru Marcomini, Antonio Brownfield rehabilitation is an essential step for sustainable land-use planning and management in the European Union. In brownfield regeneration processes, the legacy contamination plays a significant role, firstly because of the persistent contaminants in soil or groundwater which extends the existing hazards and risks well into the future; and secondly, problems from historical contamination are often more difficult to manage than contamination caused by new activities. Due to the complexity associated with the management of brownfield site rehabilitation, Decision Support Systems (DSSs) have been developed to support problem holders and stakeholders in the decision-making process encompassing all phases of the rehabilitation. This paper presents a comparative study between two DSSs, namely SADA (Spatial Analysis and Decision Assistance) and DESYRE (Decision Support System for the Requalification of Contaminated Sites), with the main objective of showing the benefits of using DSSs to introduce and process data and then to disseminate results to different stakeholders involved in the decision-making process. For this purpose, a former car manufacturing plant located in the Brasov area, Central Romania, contaminated chiefly by heavy metals and total petroleum hydrocarbons, has been selected as a case study to apply the two examined DSSs. Major results presented here concern the analysis of the functionalities of the two DSSs in order to identify similarities, differences and complementarities and, thus, to provide an indication of the most suitable integration options. |
| title | SADA and DESYRE DSSs descriptive classification criteria (main issues related to DSS's) |
| topic | |
| url | https://doi.org/10.1594/PANGAEA.817327 |