Deltares
Deltares
39 Projects, page 1 of 8
assignment_turned_in Project2022 - 2024Partners:Deltares, DeltaresDeltares,DeltaresFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 2022.021Within the FutureMARES project, Deltares will use a 3D model representing the water levels and flows, as well as water quality and ecology in the North Sea to predict the effects of large-scale cultivation of seaweed and mussels and native flat oyster restoration. This will be done for different future scenarios of combined socio-economic and climate changes, up to 2100. The results will help evaluating if these activities are viable in such contexts, what their effects will be on the North Sea ecology and if/how they can help adapting to- or mitigating climate change.
more_vert assignment_turned_in Project2010 - 2016Partners:NWO-institutenorganisatie, Dalhousie University, Department of Oceanography, National Oceanography Centre, Southampton, Research Vessel Services, Universiteit Utrecht, Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Geochemie +7 partnersNWO-institutenorganisatie,Dalhousie University, Department of Oceanography,National Oceanography Centre, Southampton, Research Vessel Services,Universiteit Utrecht,Universiteit Utrecht, Faculteit Geowetenschappen, Departement Aardwetenschappen, Geochemie,Dalhousie University,NWO-institutenorganisatie, NIOZ - Koninklijk Nederlands Instituut voor Onderzoek der Zee,Deltares,National Oceanography Centre, Southampton,NWO-institutenorganisatie, NIOZ - Koninklijk Nederlands Instituut voor Onderzoek der Zee, NIOZ-Yerseke,NWO-institutenorganisatie, NIOZ - Koninklijk Nederlands Instituut voor Onderzoek der Zee, Biologische Oceanografie (BIO),Deltares, Zee- en KustsystemenFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 839.10.500Fossil fuel use, land use change and cement production have perturbed the global carbon cycle and have led to the accumulation of carbon dioxide in the atmosphere. This has two major consequences, namely global warming and ocean acidification (?the other CO2 problem?). Sea surface water pH has decreased already by 0.1 unit since pre-industrial time, and based on atmospheric CO2 scenarios, it is projected to further decline by 0.0015-0.002 unit per year over the coming century. However, observations on the Washington coast and in the North Sea (Rijkswaterstaat monitoring) show stronger decreases of 0.045 and 0.02 unit per year, respectively. The North Sea is apparently acidifying 10 times faster than global ocean model predictions. Here we propose a detailed investigation of the spatial and temporal patterns of pH in the North Sea at a basin-wide scale using the high quality methodology in use by the international CO2 research community. This will generate the needed data to see whether the acidification of the North Sea is indeed occurring at such high pace. In addition, we will also elucidate the biogeochemical mechanisms governing the pH in North Sea waters, in particular the balance between production and respiration and the generation of alkalinity. As part of this investigation, we will apply a recently developed modelling technique to attribute pH changes to changing environmental parameters.
more_vert assignment_turned_in Project2017 - 2022Partners:University of Reading, University of London, School of Oriental and African Studies (SOAS), School of Finance and Management, Deltares, Shanghai Normal University, Met Office Hadley Centre +12 partnersUniversity of Reading,University of London, School of Oriental and African Studies (SOAS), School of Finance and Management,Deltares,Shanghai Normal University,Met Office Hadley Centre,Met Office Hadley Centre,Shanghai Climate Centre,Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Hydraulic Engineering, Hydraulic Structures and Flood Risk,Technische Universiteit Delft,University of London,Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen,Shanghai Normal University,Deltares,East China Normal University,University of Reading, Department of Meteorology, Centre for Global Atmospheric Modelling,East China Normal University,Shanghai Climate Centre, Shanghai Meteorological Service (SMS)Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: ALWSD.2016.007An integrated flood risk modelling framework was developed to determine how climate change and sea level rise will influence typhoon flood risk in Shanghai, and resulting damages to residents, businesses, and industries, as well as to investigate the effect of proposed infrastructure and adaptation measures on the reduction of this flood risk. The team found that flood risk increases in general due to sea level rise, while the geographic location of heaviest flood risk moves northward as typhoon tracks shift. This leads to a shift in risk distribution between domestic vs. foreign-owned businesses due to their geographic settings.
more_vert assignment_turned_in Project2012 - 2013Partners:Innovatieplatform, Universiteit Twente, Faculty of Engineering Technology (ET), Department of Civil Engineering & Management (CEM), Deltares, Innovatieplatform, Deltares +2 partnersInnovatieplatform,Universiteit Twente, Faculty of Engineering Technology (ET), Department of Civil Engineering & Management (CEM),Deltares,Innovatieplatform,Deltares,Universiteit Twente, Faculty of Engineering Technology (ET), Department of Civil Engineering & Management (CEM), Water Engineering and Management (WEM),Universiteit TwenteFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 036.002.164more_vert assignment_turned_in ProjectFrom 2023Partners:Deltares, Mpumalanga Department of Health, Erasmus MC, Erasmus MC, Maatschappelijke Gezondheidszorg, University of KwaZulu-Natal +11 partnersDeltares,Mpumalanga Department of Health,Erasmus MC,Erasmus MC, Maatschappelijke Gezondheidszorg,University of KwaZulu-Natal,Deltares,University of Venda for Sciences and Technology (UNIVEN),University of Cape Town,University of Cape Town,IHE Delft Institute for Water Education,Mpumalanga Department of Health,IHE Delft Institute for Water Education,Inkomati Usuthu Catchment Management Agency,University of Venda (UNIVEN),University of KwaZulu-Natal,Inkomati Usuthu Catchment Management AgencyFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 482.22.106CONNEXION identifies and addresses critical connections between water management and human health in the Inkomati-Usuthu water management area (South Africa). We combine disease and water-energy-food (WEF) interaction models to better understand these connections. We visualise results in a dashboard for decision making, supporting WEF and health managers in their policy and daily practice. Our consortium includes a broad team of researchers and practitioners in WEF, nutrition, and infectious diseases, who will work together with various local stakeholders to co-create potential scenarios and recommendations. CONNEXION will contribute to improved resilience, community livelihoods, health, and wellbeing in the research area and beyond.
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