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Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil
The complex physical-chemical and microbiological composition of leachate in sanitary landfills sets the adequate treatment for different waste types. However, before the final disposal of wastes in receptor waterbodies, it is essential to use specific methods to quantitatively prevent internal flow...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879154/ https://www.ncbi.nlm.nih.gov/pubmed/36710870 http://dx.doi.org/10.7717/peerj.14686 |
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author | Reyes Flores, Carlos Armando Ferreira Albuquerque Cunha, Helenilza Cavalcanti da Cunha, Alan |
author_facet | Reyes Flores, Carlos Armando Ferreira Albuquerque Cunha, Helenilza Cavalcanti da Cunha, Alan |
author_sort | Reyes Flores, Carlos Armando |
collection | PubMed |
description | The complex physical-chemical and microbiological composition of leachate in sanitary landfills sets the adequate treatment for different waste types. However, before the final disposal of wastes in receptor waterbodies, it is essential to use specific methods to quantitatively prevent internal flows to find proper treatments. The aim of the present research is to use hydrological models to estimate monthly leachate flow generation in Macapá’s Municipal Sanitary Landfill (ASMM), Amapá State, Brazil. Disregarding the temporal trend bias, the average (0.45 m(3)s(−1)), minimum (0.07 m(3)s(−1)) and maximum (0.72 m(3)s(−1)) flows were estimated based on hydrological models in the literature (R(max) = 99%, p < 0.05). The results estimated from different hydrological gauges pointed towards significant spatial variations in final discharge. Thus, estimated flows worked as reference to calculate the loads of coproducts and nutrients concerning different operational stages in ASMM. Therefore, rain intensity estimates have pointed out precipitation variability, and it has significantly affected leachate flow. In conclusion, there would be a proportional increase in leachate flow during extreme maximum precipitation events; overflow would be the effect of such flows and it would assumingly have impact on its surrounding areas. It is also possible estimating some degree of rainfall impact over ASMM’s infrastructure in the long term (>10 years), since it could influence its lifespan. |
format | Online Article Text |
id | pubmed-9879154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98791542023-01-27 Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil Reyes Flores, Carlos Armando Ferreira Albuquerque Cunha, Helenilza Cavalcanti da Cunha, Alan PeerJ Ecohydrology The complex physical-chemical and microbiological composition of leachate in sanitary landfills sets the adequate treatment for different waste types. However, before the final disposal of wastes in receptor waterbodies, it is essential to use specific methods to quantitatively prevent internal flows to find proper treatments. The aim of the present research is to use hydrological models to estimate monthly leachate flow generation in Macapá’s Municipal Sanitary Landfill (ASMM), Amapá State, Brazil. Disregarding the temporal trend bias, the average (0.45 m(3)s(−1)), minimum (0.07 m(3)s(−1)) and maximum (0.72 m(3)s(−1)) flows were estimated based on hydrological models in the literature (R(max) = 99%, p < 0.05). The results estimated from different hydrological gauges pointed towards significant spatial variations in final discharge. Thus, estimated flows worked as reference to calculate the loads of coproducts and nutrients concerning different operational stages in ASMM. Therefore, rain intensity estimates have pointed out precipitation variability, and it has significantly affected leachate flow. In conclusion, there would be a proportional increase in leachate flow during extreme maximum precipitation events; overflow would be the effect of such flows and it would assumingly have impact on its surrounding areas. It is also possible estimating some degree of rainfall impact over ASMM’s infrastructure in the long term (>10 years), since it could influence its lifespan. PeerJ Inc. 2023-01-23 /pmc/articles/PMC9879154/ /pubmed/36710870 http://dx.doi.org/10.7717/peerj.14686 Text en ©2023 Reyes Flores et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Ecohydrology Reyes Flores, Carlos Armando Ferreira Albuquerque Cunha, Helenilza Cavalcanti da Cunha, Alan Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title | Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title_full | Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title_fullStr | Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title_full_unstemmed | Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title_short | Hydrometeorological characterization and estimation of landfill leachate generation in the Eastern Amazon/Brazil |
title_sort | hydrometeorological characterization and estimation of landfill leachate generation in the eastern amazon/brazil |
topic | Ecohydrology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9879154/ https://www.ncbi.nlm.nih.gov/pubmed/36710870 http://dx.doi.org/10.7717/peerj.14686 |
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