Ann van Griensven amp Hichem Sahli Vrije Universiteit Brussel Toward an Open Resources Using Services Torus project meeting June 610 Ferrara Italy 3 full time professors 3 parttime professors 10 ID: 799018
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Slide1
Water Productivity using ET estimations from Remote Sensing and Hydrological Models
Ann van Griensven & Hichem SahliVrije Universiteit Brussel
Toward
an
OpenResourcesUsingServices
Torus project meeting, June 6-10, Ferrara, Italy
Slide23 full time professors / 3 part-time professors (10%)
3
Post-Doctoral
Researchers
~20 PhD ResearchersHYDR: Large group of international researchers
Slide3Where do we want to make a difference
Hydrological
modelling
using field and remote sensing data
Model developments using open source softwareWETSPA-pythonSWAT…
Slide4Research in water across scales and disciplines
Scale
Services
Urban drainage
Brussels
Ecosystems
Bierbza
, Poland
Food security
Ethiopia
Flooding
Nete
basin, Belgium
Slide523 countries
>160 million people
>2.2 million km
2
FP7:FP7: EnviroGRIDSBuilding Capacity for a Black Sea Catchment
Observation and Assessment System
supporting Sustainable Development
Slide6Yalew
, S.G., van Griensven, A. Kokoszkiewicz
L.,
Ray N.,
Betrie G. D. (2013). Parallel computing of large scale SWAT models, Environmental Modelling and Software, 41, 223-230.
Slide7Estimation of Agricultural
Water Productivity
Ecosystem Services
Irrigation
Domestic Use EnergyIndustry
Slide8What is Water Productivity?
“Crop yield per unit water”
– cultivated areas
“Ecosystem services per unit water”
– natural areas
Slide9From
Efficiency to Water Productivity
Crop
yield
Slide10Doode
Bemde Wetland - Land Surface Temperature | pag. 10
ET can be derived from Temperature
LOW ET - HIGH T° HIGH ET - LOW T°DRY WET
Slide11Development
of remote sensing technologies
Temperature
Slide12Coupled Water-Energy Balance
Watershed mass-balanceP = Q + E + DS/Dt
Surface energy-balance
R
n = H + lvE + G + DS/Dt
Slide13Improved spatial pattern
of water balance models13
Remote sensing ensemble
Original SWAT
SWAT-RS
Slide14Tools
Remote Sensing (RS) and ENERGY BALANCE MODELS eg Landsat images and SEBAL
Hydrological models: eg
SWAT/WETSPA modelsCROP MODELS
: eg AQUACROP modelsModelling techniques: Sensitivity analysis, autocalibration, uncertainty analysis, data assimilation
Slide15Collaborations ?
We welcome collaborations for work within this project for catchments in Asia AND
Cloud computing for processiong
of remote sensing, hydrological models, sensitivity analysis, calibration, uncertainty, data assimiliation
ANDWorkshops & Conferences in Brussels
Slide16OpenWater
conferences2011, Delft, Netherlands2013, Brussels, Belgium2015, Addis Ababa, Ethiopia 2017, Rabat, MoroccoiEMSs conference Toulouse, July 2016
Torus conference in Brussels 2017?
Conferences
Slide17www.openwaterjournal.com