Analysis of tailing pond contamination in Galicia using generalized linear spatial models
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional de Colombia
2015
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| _version_ | 1876422179541745664 |
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| author | Javier Taboada |
| author_facet | Javier Taboada |
| contents | Analysis of tailing pond contamination in Galicia using generalized linear spatial models Javier Taboada Ángeles Saavedra María Paz Fernando G. Bastante Leandro R. Alejano Ingeniería Tailings pond environmental risk spatial statistics Markovchain Monte Carlo generalized linear spatial model We statistically analysed the chemical components present in wa ste water from mines in Galicia (NW Spain). These elements pose a risk to public health and the environme nt, most particularly in the event of a failure in the contai nment structure of a pond or da m. The statistical processing of the data, which started with an a nalysis of the typical contamina nts present in mining ponds and dams, pointed to the potential limita tions of using nonspatial model s for spatially st ructured data. Our results indicate the greater potential of the generalized l inear spatial model over the generalized linear model for analy sis of spatially structured data. We also show h ow a misspecification of the mod el for analysing spatial data can lead to misleading conclusion s, which might lead, in turn, to poorly de signed protective or correctiv e measures. 2015 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49635366010 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.189 Vol.82 |
| format | Artículo científico |
| id | redalyc_49635366010 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Analysis of tailing pond contamination in Galicia using generalized linear spatial models Javier Taboada Ingeniería Tailings pond environmental risk spatial statistics Markovchain Monte Carlo generalized linear spatial model Analysis of tailing pond contamination in Galicia using generalized linear spatial models Javier Taboada Ángeles Saavedra María Paz Fernando G. Bastante Leandro R. Alejano Ingeniería Tailings pond environmental risk spatial statistics Markovchain Monte Carlo generalized linear spatial model We statistically analysed the chemical components present in wa ste water from mines in Galicia (NW Spain). These elements pose a risk to public health and the environme nt, most particularly in the event of a failure in the contai nment structure of a pond or da m. The statistical processing of the data, which started with an a nalysis of the typical contamina nts present in mining ponds and dams, pointed to the potential limita tions of using nonspatial model s for spatially st ructured data. Our results indicate the greater potential of the generalized l inear spatial model over the generalized linear model for analy sis of spatially structured data. We also show h ow a misspecification of the mod el for analysing spatial data can lead to misleading conclusion s, which might lead, in turn, to poorly de signed protective or correctiv e measures. 2015 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49635366010 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.189 Vol.82 |
| title | Analysis of tailing pond contamination in Galicia using generalized linear spatial models |
| topic | Ingeniería Tailings pond environmental risk spatial statistics Markovchain Monte Carlo generalized linear spatial model |
| url | https://www.redalyc.org/articulo.oa?id=49635366010 |