| Title |
Spatial analysis to quantify and localise the residual cardoon stem fibres as potential bio-reinforcements for building materials |
| ID_Doc |
25842 |
| Authors |
Parlato, MCM; Valenti, F; Lanza, EL; Porto, SMC |
| Title |
Spatial analysis to quantify and localise the residual cardoon stem fibres as potential bio-reinforcements for building materials |
| Year |
2022 |
| Published |
International Journal Of Sustainable Engineering, 15, 1 |
| DOI |
10.1080/19397038.2022.2042620 |
| Abstract |
Today in Europe building-sector is responsible for the 50% of air pollution and for 70% of waste production. For this reason, researchers' interest is focused on new eco-building materials that are sustainable, with low impact, renewable and recyclable. In this context, in the last few years, the use of cellulose-based fibres as potential reinforcements for bio-composite materials, instead of synthetic one, received worldwide growing attention. Among natural fibres, both cellulose and protein-based ones, in literature it was found that, due to its mechanical properties, artichoke fibre is suitable for this use. In this study, a Geographical Information System (GIS) - based model to locate and quantify the yearly amount of agricultural waste coming from Cynara cardunculus L. (CW) cultivation was put forward and was applied in a study area located in Southern Italy. As an additional protein-based fibre, sheep wool fibre was also taken into account due to the high presence of sheep. The estimated available amount of both considered fibres was reported in a GIS map in order to show their distribution at territorial level. The achieved results could represent basic information for both sustainable locating collection centre and analysing the environmental impact related to the logistics and supply phase. |
| Author Keywords |
Natural fibres; Cynara cardunculus L.; GIS-based model; circular economy; sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000759253700001 |
| WoS Category |
Green & Sustainable Science & Technology |
| Research Area |
Science & Technology - Other Topics |
| PDF |
https://www.tandfonline.com/doi/pdf/10.1080/19397038.2022.2042620?needAccess=true
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