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https://hdl.handle.net/10216/153099| Autor(es): | Lia Duarte Ana Teodoro Santos, P de Almeida, CR Cardoso-Fernandes, J Flores, D |
| Título: | An Interactive WebGIS Integrating Environmental Susceptibility Mapping in a Self-Burning Waste Pile Using a Multi-Criteria Decision Analysis Approach |
| Data de publicação: | 2022 |
| Resumo: | Mining activities promote resulting wastes, so coal mines are prone to release contaminants to the environment, namely to the soil and water. Therefore, the analysis of this type of risk is crucial in waste pile management. The Sao Pedro da Cova (Porto, Portugal) coal waste pile has been studied in recent years, with several data acquired from 2019-2021 under a research project using distinct methodologies. These results are now combined in a multi-approach method to estimate the environmental impacts of the waste pile and identify the contamination. With the integration of all the data in a Geographical Information System (GIS) environment, and to fulfill a scientific gap, this study aims: (i) to create a susceptibility map of contamination in the areas surrounding the self-burning coal waste pile in Sao Pedro da Cova, using Analytical Hierarchy Process (AHP) and Fuzzy AHP approaches; and (ii) to develop a webGIS application incorporating all the information acquired that can be useful for the residents of Sao Pedro da Cova and also to the decision-making public entities and researchers. The results obtained show that the contamination susceptibility is higher surrounding the abandoned mine, particularly along the waste piles and the corresponding runoff areas, which can be especially sensitive. |
| DOI: | 10.3390/geosciences12100352 |
| URI: | https://hdl.handle.net/10216/153099 |
| Tipo de Documento: | Artigo em Revista Científica Internacional |
| Condições de Acesso: | openAccess |
| Aparece nas coleções: | FCUP - Artigo em Revista Científica Internacional |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 581006.pdf | Artigo em revista internacional | 5.54 MB | Adobe PDF | ![]() Ver/Abrir |
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