A5077042002- Hydrology and Watershed Management Studies
- Air Quality and Health Impacts
- Land Use and Ecosystem Services
- Soil erosion and sediment transport
- Urban Transport and Accessibility
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Aeolian processes and effects
- Air Quality Monitoring and Forecasting
- Scientific Computing and Data Management
- Geological formations and processes
- Geographic Information Systems Studies
- 3D Modeling in Geospatial Applications
- Ecosystem dynamics and resilience
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Climate Change and Health Impacts
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Soil Moisture and Remote Sensing
- Water resources management and optimization
- Hydrological Forecasting Using AI
- Geological Modeling and Analysis
- Soil Geostatistics and Mapping
- Ecology and Vegetation Dynamics Studies
Utrecht University
2016-2025
University Medical Center Utrecht
2019-2022
Heidelberg University
2015
Altrecht GGZ
2014
Japan External Trade Organization
2013
University of Zurich
2001
Abstract. We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates use. Sector-specific demand, groundwater surface withdrawal, consumption, return flows are dynamically calculated at every time step interact directly with the simulated hydrology. 2 has been rewritten in Python PCRaster modular structure, allowing easier replacement, maintenance, development model components. implemented 5 arcmin...
Abstract. We evaluate the added value of assimilated remotely sensed soil moisture for European Flood Awareness System (EFAS) and its potential to improve prediction timing height flood peak low flows. EFAS is an operational forecasting system Europe uses a distributed hydrological model (LISFLOOD) predictions with lead times up 10 days. For this study, satellite-derived from ASCAT (Advanced SCATterometer), AMSR-E Microwave Scanning Radiometer - Earth Observing System) SMOS (Soil Moisture...
Abstract Large‐scale hydrological models are nowadays mostly calibrated using observed discharge. As a result, large part of the system, in particular unsaturated zone, remains uncalibrated. Soil moisture observations from satellites have potential to fill this gap. Here we evaluate added value remotely sensed soil calibration large‐scale by addressing two research questions: (1) Which parameters can be identified with moisture? (2) Does lead an improved compared based only on discharge...
An integrated, executable mathematical modelling language for environmental and ecological applications has been developed to create run Dynamic Models in a GIS. The is embedded the GIS, providing ability model complex space‐time systems free from technical burdens of database management algorithm optimization. spatial uses structured script, which illustrated here by an example plant dispersion.
Abstract. Accurate quantification of the amount and spatial variation evapotranspiration is important in a wide range disciplines. Remote sensing based surface energy balance models have been developed to estimate turbulent fluxes at different scales. The objective this study evaluate Surface Energy Balance System (SEBS) model on landscape scale, using tower-based flux measurements land cover units during an overpass ASTER sensor over SPARC 2004 experimental site Barrax (Spain). A...
The evidence from observational epidemiological studies of a link between long-term air pollution exposure and diabetes prevalence incidence is currently mixed. Some found the strongest associations with fine particles, other nitrogen dioxide some no associations.Our aim was to investigate multiple pollutants in large national survey Netherlands.We performed cross-sectional analysis using 2012 Dutch health 2009 annual average concentrations (PM10, PM2.5, PM10-2.5, PM2.5 absorbance, OPDTT,...
Canopy nitrogen (N) influences carbon (C) uptake by vegetation through its important role in photosynthetic enzymes. Global Vegetation Models (GVMs) predict C assimilation, but are limited a lack spatial canopy N input. Mapping has been done various ecosystems using remote sensing (RS) products, rarely considered environmental variables as additional predictors. Our research objective was to estimate patterns of European forests and investigate the degree which including among predictors...
Abstract Background Walkability indices have been developed and linked to behavioural health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed 1) develop a theory-based evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total purpose-specific walking behaviours of adults across socioeconomic (SES) urbanisation strata, 3) explore which components drive these associations. Methods Components index included: population...
Previous European land-use regression (LUR) models assumed fixed linear relationships between air pollution concentrations and predictors such as traffic land use. We evaluated whether including spatially-varying could improve LUR by using geographically weighted (GWR) random forest (RF). built separate for each year from 2000 to 2019 NO2, O3, PM2.5 PM10 annual average monitoring observations across Europe. Potential included satellite retrievals, chemical transport model estimates...
Abstract Existing assessments of biomass supply and demand their impacts face various types limitations uncertainties, partly due to the type tools methods applied (e.g., partial representation sectors, lack geographical details, aggregated technologies involved). Improved collaboration between existing modeling approaches may provide new, more comprehensive insights, especially into issues that involve multiple economic different temporal spatial scales, or impact categories. Model consists...
To improve streamflow predictions, researchers have implemented updating procedures that correct predictions from a simulation model using machine learning methods, in which simulated and meteorological data are used as predictors. Few studies however included an extensive set of hydrological state variables by the model. We developed evaluated Random Forests (RF)-based approach to global PCR-GLOBWB. From PCR-GLOBWB, input well its were predictors RF estimate errors PCR-GLOBWB then applied...
BackgroundDiabetes is a major health concern and influenced by lifestyle, which can be affected the neighbourhood environment. Specifically, fast-food environment influence eating behaviours thus diabetes prevalence. Therefore, our aim was to assess relationship between prevalence for urban rural environments in Netherlands, using multiple indicators buffer sizes.MethodsIn this cross-sectional study, data on nationwide sample of adults older than 19 years Netherlands were taken from 2012...
Annual average land-use regression (LUR) models have been widely used to assess spatial patterns of air pollution exposures. However, they fail capture diurnal variability in and consequently might result biased dynamic exposure assessments. In this study we aimed model hourly concentrations for two major pollutants, NO2 PM2.5, the Netherlands using LUR algorithm. We modelled variation years 2016-2019 combined, seasons, weekday types. Two modelling approaches were used, supervised linear...
The objective of this study was to map topographically contact areas and pressure distributions on the proximal articular surface (PAS) phalanx (PI) under various clinically relevant loading conditions. Left right forelimbs 13 mature horses were transected halfway down radius loaded in a position mimicking weightbearing attitude close midstance phase. Five loads used which corresponded with that can be expected different gaits or during athletic performance (stance: 1800 N, walk: 3600 trot:...
Abstract A three‐dimensional numerical model of sediment transport, erosion and deposition within a network channel belts associated floodplain is described. Sediment water supply are defined at the upstream entry point, base level downstream edge model. transported through channels according to diffusion equation, each has belt with width that increases in time. The evolves as result bifurcation abandonment (avulsion). timing location controlled stochastically function cross‐valley slope...
Biodiversity in wetlands is threatened by habitat loss and fragmentation, of which agricultural activities often are a cause. Dispersal plant seeds via wind ditches (water) may contribute to connecting remnant wetland populations modern landscapes, help maintain restore biodiversity. We developed spatially explicit model assess the relative importance dispersal water through drainage for two species landscapes: typical disperser water-disperser. Simulation results show that had much higher...
Abstract It is commonly recognized that large uncertainties exist in modelled biofuel‐induced indirect land‐use change, but until now, spatially explicit quantification of such by means error propagation modelling has never been performed. In this study, we demonstrate a general methodology to stochastically calculate direct and change ( dLUC iLUC ) caused an increasing demand for biofuels, with integrated economic – model. We use the global Computable General Equilibrium model MAGNET,...
Cohorts based on administrative data have size advantages over individual cohorts in investigating air pollution risks, but often lack in-depth information risk factors related to lifestyle. If there is a correlation between lifestyle and pollution, omitted variables may result biased estimates. Correlations can be induced by socio-economic status affecting both exposure.Our overall aim was assess potential confounding missing mortality The first associations long-term exposure several...