Publicação
Geospatial Technologies for Monitoring Carbon Sequestration and Assessing Nature Based Solution for Climate Change Mitigation
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Meyer, Hanna | |
| dc.contributor.advisor | Painho, Marco Octávio Trindade | |
| dc.contributor.advisor | Pla Bañón, Filiberto | |
| dc.contributor.author | Qasim, Muhammad | |
| dc.date.accessioned | 2025-03-18T10:48:08Z | |
| dc.date.available | 2025-03-18T10:48:08Z | |
| dc.date.issued | 2025-03-05 | |
| dc.description | Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies | pt_PT |
| dc.description.abstract | Industrial cities like Duisburg, Germany, face significant challenges in mitigating carbon emissions due to high industrial activity which exacerbate climate change, urban heat island effects, and air pollution. This research addresses the urgent need for localized, scalable solution by exploring the potential of urban afforestation as a nature-based strategy to enhance carbon storage greatest environmental and social benefits. 19.41 km² was classified as high-priority zones which can be a baseline to start implementation of NBS. High-priority areas are concentrated in industrial and densely populated regions, where greening interventions would provide co-benefits such as reduced heat stress, improved air quality, and enhanced flood resilience. The study highlights the importance of integrating nature-based solution into urban and enhance urban resilience. Using a geospatial technologies and process-based model, the study employs the InVEST Carbon Storage and Sequestration Model to quantify carbon storage potential and geospatial analyses to identifies suitable areas for afforestation through exclusion criterion (i.e., excluding landcover classes that are not suitable for afforestation). InVEST model incorporated landcover data and four carbom pools values i.e., Above Ground Biomass (AGB), Below Ground Biomass (BGB), Dead Carbon (C_Dead), Soil Organic Carbon (C_Soil). The results reveal that 44.23 km² (19% of Duisburg’s land area) is suitable for afforestation. Implementing afforestation in these areas could increase carbon storage by 120%, offsetting 22% (current carbon offsets are 9%) of city’s annual emissions (i.e., 24 million tons). Key indicators such as urban heat island effects, flood risk, air quality, population density, and accessibility to green spaces were integrated to prioritize areas where afforestation would yield the planning and recommends prioritizing high-impact zones for greening, adopting a phased implementation approach. This research aligns with key Sustainable Development Goals, including Good Health (SDG 3), Industry, Innovation and Infrastructure (SDG 9), Climate Action (SDG 13), and Sustainable Cities and Communities (SDG 11) contributing to global efforts to combat climate change, promote urban sustainability, restore ecosystems, and improve public health. This study offers actionable insights for policymakers and urban planners to enhance climate resilience in highly industrialized cities. | pt_PT |
| dc.identifier.tid | 203924096 | |
| dc.identifier.uri | http://hdl.handle.net/10362/180812 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Carbon Sequestration | pt_PT |
| dc.subject | InVEST | pt_PT |
| dc.subject | Nature Based Solution | pt_PT |
| dc.subject | Climate Mitigation | pt_PT |
| dc.subject | Afforestation | pt_PT |
| dc.subject | GIS | pt_PT |
| dc.subject | RS | pt_PT |
| dc.subject | SDG 3 - Good health and well-being | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.subject | SDG 11 - Sustainable cities and communities | pt_PT |
| dc.subject | SDG 13 - Climate action | pt_PT |
| dc.title | Geospatial Technologies for Monitoring Carbon Sequestration and Assessing Nature Based Solution for Climate Change Mitigation | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Tecnologias Geoespaciais | pt_PT |