Guimarães is a middle sized city and municipality located in northern Portugal.The municipality has committed to reducing the annual amount of undifferentiated municipal solid waste(MSW)from 371 kg/capita in 2021...Guimarães is a middle sized city and municipality located in northern Portugal.The municipality has committed to reducing the annual amount of undifferentiated municipal solid waste(MSW)from 371 kg/capita in 2021 to 120 kg/capita by 2030 under the Zero Waste Cities Certification process.In the municipality of Guimarães,one of the constant fractions of MSW composition is textile waste(TW),which the revised EU Waste Framework Directive requires separate collection by 1 January 2025.Therefore,two indicators of TW generation were analysed to identify waste collection routes with a high level of textile waste generation for the priority implementation of separate collection:TW composition in the undifferentiated MSW stream and TW generation per capita.Basic statistical analysis methods were used to process the source data of TW composition in the undifferentiated MSW stream.Cluster analysis was applied to the data set on TW generation per capita,considering the area typology(urban,rural or mixed)of collection routes.It was considered that 39%of the industrial sector of Guimarães consists of textile and clothing production and represents small-and medium-sized enterprises,which can affect TW generation in the undifferentiated MSW stream.Causal-comparative research was used to define the correlation between TW generation per capita and the economic activity of the textile and clothing industry in the municipality.As a result,applying a multi-disciplinary approach,a project of the Textile Waste Generation Map was presented.展开更多
Coastal wetlands are of paramount importance as major reservoirs of blue carbon(C),playing a crucial role in providing nature-based solutions to mitigate climatic changes.This research aimed to analyse the dynamics of...Coastal wetlands are of paramount importance as major reservoirs of blue carbon(C),playing a crucial role in providing nature-based solutions to mitigate climatic changes.This research aimed to analyse the dynamics of total blue C(TBC)and its components;viz.soil organic C(SOC),below ground C,and above ground C;as well how they are influenced by land use/land cover(LULC)categories and wetland situations.Subsequently,study were identified as one restored wetland and another degraded wetland in the Medinipur Coastal Plain,India.The LULC categories were analyzed using Pleiades 1A and 1B satellite imagery,corresponding to the restored and degraded wetland,respectively.The quantification of SOC was based on point-specific sample data collected from both wetlands(nr=250;nd=84).Above ground biomass(AGB)was appraised employing allometric relationships involving field-measured dendrometric variables.Below ground biomass values were calculated using indirect allometric equations that take into account the AGB values.Integrating all the components,TBC stock of the restored and degraded wetlands were estimated at 246710.91 Mg and 7865.49 Mg,respectively.In the restored wetland,dense mangrove and open mangrove exhibited higher concentrations of blue C components,while other LULC categories demonstrated moderate to low densities.In the degraded wetland,the open mangrove category rechigh densities of C pools,whereas herbaceous vegetation,bare earth and sand,and waterbody exhibited lower concentrations.The results portrayed significant disparities(P<0.05)in blue C pools among different LULC categories in both wetlands.Furthermore,it was evident that wetland type and LULC category had notable(P<0.001)impacts on TBC dynamics,both individually and in combination.Overall,this research may aid in effective management of coastal wetlands as blue C sinks,emphasizing their significance as essential elements of climate mitigation strategies.展开更多
文摘Guimarães is a middle sized city and municipality located in northern Portugal.The municipality has committed to reducing the annual amount of undifferentiated municipal solid waste(MSW)from 371 kg/capita in 2021 to 120 kg/capita by 2030 under the Zero Waste Cities Certification process.In the municipality of Guimarães,one of the constant fractions of MSW composition is textile waste(TW),which the revised EU Waste Framework Directive requires separate collection by 1 January 2025.Therefore,two indicators of TW generation were analysed to identify waste collection routes with a high level of textile waste generation for the priority implementation of separate collection:TW composition in the undifferentiated MSW stream and TW generation per capita.Basic statistical analysis methods were used to process the source data of TW composition in the undifferentiated MSW stream.Cluster analysis was applied to the data set on TW generation per capita,considering the area typology(urban,rural or mixed)of collection routes.It was considered that 39%of the industrial sector of Guimarães consists of textile and clothing production and represents small-and medium-sized enterprises,which can affect TW generation in the undifferentiated MSW stream.Causal-comparative research was used to define the correlation between TW generation per capita and the economic activity of the textile and clothing industry in the municipality.As a result,applying a multi-disciplinary approach,a project of the Textile Waste Generation Map was presented.
基金The Early Career Research Award(ECR/2017/003380)The Project of Science and Engineering Research Board,Department of Science and Technology,Government of India(DST-SERB).
文摘Coastal wetlands are of paramount importance as major reservoirs of blue carbon(C),playing a crucial role in providing nature-based solutions to mitigate climatic changes.This research aimed to analyse the dynamics of total blue C(TBC)and its components;viz.soil organic C(SOC),below ground C,and above ground C;as well how they are influenced by land use/land cover(LULC)categories and wetland situations.Subsequently,study were identified as one restored wetland and another degraded wetland in the Medinipur Coastal Plain,India.The LULC categories were analyzed using Pleiades 1A and 1B satellite imagery,corresponding to the restored and degraded wetland,respectively.The quantification of SOC was based on point-specific sample data collected from both wetlands(nr=250;nd=84).Above ground biomass(AGB)was appraised employing allometric relationships involving field-measured dendrometric variables.Below ground biomass values were calculated using indirect allometric equations that take into account the AGB values.Integrating all the components,TBC stock of the restored and degraded wetlands were estimated at 246710.91 Mg and 7865.49 Mg,respectively.In the restored wetland,dense mangrove and open mangrove exhibited higher concentrations of blue C components,while other LULC categories demonstrated moderate to low densities.In the degraded wetland,the open mangrove category rechigh densities of C pools,whereas herbaceous vegetation,bare earth and sand,and waterbody exhibited lower concentrations.The results portrayed significant disparities(P<0.05)in blue C pools among different LULC categories in both wetlands.Furthermore,it was evident that wetland type and LULC category had notable(P<0.001)impacts on TBC dynamics,both individually and in combination.Overall,this research may aid in effective management of coastal wetlands as blue C sinks,emphasizing their significance as essential elements of climate mitigation strategies.
