Sustainable approaches for brownfield revitalisation & rehabilitation: a case in São Paulo

There is a necessity for sustainable solutions to meet the increasing demand for land in urban development. In this context, brownfields are known to be a viable alternative if characterized and remediated correctly. This study demonstrates the use of two methodologies, TRIAD, and high-resolution site characterization to assess the viability of rehabilitation of the site for new development. Given the conceptual uncertainties, a High-Resolution Site Characterization with the TRIAD approach was conducted to measure the environmental impact and update the conceptual site model of the studied area. The investigation plans were dynamically built with the use of real-time measurement tools. It was possible to measure the spatial distribution and the mass of contaminants still present in the area. Moreover, a more robust conceptual site model was developed to serve as the base for the remediation and rehabilitation strategies. The approach brought measurable financial benefits, an increase in 35% value of the property, as well as the permission to rebuild the area. The study highlights the significance of comprehensive investigations in the effective rehabilitation of impacted areas, while meeting the demands for sustainable urban development by providing a faster and more reliable field investigative campaign, with reduced levels of uncertainty.

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Publication Details

Journal
Environmental Geotechnics
Published
2024-12-13
DOI
https://doi.org/10.1680/jenge.21.00146
Citations
1
Primary Topic
Environmental Justice and Health Disparities
Type
article
Field-Weighted Citation Impact
1.13
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article

Sustainable approaches for brownfield revitalisation & rehabilitation: a case in São Paulo

Elisandra Hernandes da Fonseca, Carlos Cesar Malta-Oliveira, Sandro Souto de Souto, Taisi Marrone
1 citations
Environmental Geotechnics
Environmental Justice and Health Disparities
1.13
article

Sustainable approaches for brownfield revitalisation & rehabilitation: a case in São Paulo

Elisandra Hernandes da Fonseca, Carlos Cesar Malta-Oliveira, Sandro Souto de Souto, Taisi Marrone
article en
1 citations

Abstract

There is a necessity for sustainable solutions to meet the increasing demand for land in urban development. In this context, brownfields are known to be a viable alternative if characterized and remediated correctly. This study demonstrates the use of two methodologies, TRIAD, and high-resolution site characterization to assess the viability of rehabilitation of the site for new development. Given the conceptual uncertainties, a High-Resolution Site Characterization with the TRIAD approach was conducted to measure the environmental impact and update the conceptual site model of the studied area. The investigation plans were dynamically built with the use of real-time measurement tools. It was possible to measure the spatial distribution and the mass of contaminants still present in the area. Moreover, a more robust conceptual site model was developed to serve as the base for the remediation and rehabilitation strategies. The approach brought measurable financial benefits, an increase in 35% value of the property, as well as the permission to rebuild the area. The study highlights the significance of comprehensive investigations in the effective rehabilitation of impacted areas, while meeting the demands for sustainable urban development by providing a faster and more reliable field investigative campaign, with reduced levels of uncertainty.

Environmental GeotechnicsVol. 12(9)
Environmental Law Institute (US), Environmental and Water Resources Engineering (IL), Serviço Geológico do Brasil - CPRM (BR), Bühler (United Kingdom) (GB)
Sustainable cities and communities
Openalex Percentile: Top 14%
Environmental Justice and Health Disparities
1.13
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Sustainable approaches for brownfield revitalisation & rehabilitation: a case in São Paulo — Elisandra Hernandes da Fonseca, Carlos Cesar Malta-Oliveira, et al. · Environmental Geotechnics (2024) | TGRS Research Map | TGRS