Peter Vos

ORCID: 0000-0003-2108-1623
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Wind and Air Flow Studies
  • Land Use and Ecosystem Services
  • Air Quality and Health Impacts
  • Innovative Approaches in Technology and Social Development
  • Environmental Conservation and Management
  • Advanced Numerical Methods in Computational Mathematics
  • Urban Green Space and Health
  • Sustainability and Climate Change Governance
  • Urban Heat Island Mitigation
  • Numerical methods in engineering
  • Vehicle emissions and performance
  • Electromagnetic Simulation and Numerical Methods
  • Probabilistic and Robust Engineering Design
  • Noise Effects and Management
  • Scientific Research and Discoveries
  • Structural Health Monitoring Techniques
  • Evaluation and Performance Assessment
  • demographic modeling and climate adaptation
  • Lattice Boltzmann Simulation Studies
  • Coastal and Marine Management
  • Computational Fluid Dynamics and Aerodynamics
  • Smart Cities and Technologies
  • Conservation, Ecology, Wildlife Education
  • Vibration and Dynamic Analysis
  • Building Energy and Comfort Optimization

ICLEI - Local Governments for Sustainability
2023

Flemish Institute for Technological Research
2010-2015

University of Antwerp
2011-2012

Imperial College London
2008-2011

Delft University of Technology
2006-2008

Mainstreaming nature-based solutions in cities has grown scale and magnitude recent times but is still considered to be the main challenge for transitioning our their communities more climate resilient liveable: environmentally, economically, socially.Furthermore, taking next level, scaling them out all urban contexts achieve a greater impact, proving slow often conflicts with other initiatives such as energy generation, mobility transport initiatives, infilling combat sprawl.So, task...

10.1016/j.nbsj.2023.100060 article EN cc-by-nc-nd Nature-Based Solutions 2023-03-30

Time-stepping algorithms and their implementations are a critical component within the solution of time-dependent partial differential equations (PDEs). In this article, we present generic framework – both in terms that allows an almost seamless switch between various explicit, implicit implicit–explicit (IMEX) time-stepping methods. We put particular emphasis on how to incorporate boundary conditions, issue goes beyond classical ODE theory but which plays important role PDEs arising...

10.1080/10618562.2011.575368 article EN International journal of computational fluid dynamics 2011-03-01

Abstract This paper explores the institutional mainstreaming of nature-based solutions (NBS) to advance a process-based understanding about how strategically develop governance capacities needed for systemic, localised and inclusive NBS. To this end, it reports policy officers in ten European cities have started mainstream NBS by interacting with changing incumbent arrangements when experimenting novel processes mechanisms plan, deliver steward Based on these activities officers, analysis...

10.1038/s42949-023-00134-9 article EN cc-by npj Urban Sustainability 2023-11-08

Abstract This paper identifies and examines the strategies governance conditions by which ten European cities have started mainstreaming nature-based solutions (NBS) as innovative systemic in urban planning. The three sets of focus on how teams policy entrepreneurs within experimented with processes mechanisms to strategically develop procedures, knowledge, skills, relationships integrate (a) a systems’ approach link NBS policies, regulations, departments across goals sectors, (b) inclusive...

10.21203/rs.3.rs-2876567/v1 preprint EN cc-by Research Square (Research Square) 2023-05-11

Conventional generalized polynomial chaos is known to fail for long time integration, loosing its optimal convergence behaviour and developing unacceptable error levels. The reason this loss of the assumption that probability density function constant in time. By allowing a evolve properties are retrieved without resorting high degrees.This time‐dependent approach applied system coupled non‐linear differential equations. These results compared conventional solutions Monte Carlo simulations.

10.1063/1.2990897 article EN AIP conference proceedings 2008-01-01
Coming Soon ...