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Why water accounting ?
Wim Bastiaanssen
• UNESCO Chair for Global Water Accounting
• Professor at Delft University of Technology
Developments and trends
• Growing population
• Expanding cities
• Increase food production
• Deforestation
• Wetland degradation
• Leisure
• Climate change
www.wateraccounting.org
Different professional languages
in water and environmental decision making processes
Objectives WA+
Operationalize a standard reporting system on water resources
conditions in river basins, including hydrology, water
management, land use and the services from consumptive use
based on open access data sources, and with a standard
terminology. Both current and future conditions can be assessed
sheets tables
maps
Why is ET so important ?
• The second largest component of the water balance
(after rainfall)
• Plants cannot live without ET (food, pastures, nature,
parks etc.)
• ET is consumptive use of water
Development of remote sensing technologies
Temperature
Models for crop production
Measured by satellites
Principles of water accounting
River basin management options
• Modify water flows
• Modify land use practices
Protected Land Use Utilized Land Use
Modified Land Use Managed Water Use
Protected Land Use Utilized Land Use
Modified Land Use Managed Water Use
Data sources will never be complete and made
fully accessible, especially when competition
on water resources increases
Ideal
data
Real
data
WA+ is mainly based on accessible satellite data
Eyeinthesky
Six key data sets from remote sensing
•Digital Elevation Model
•Land use
•Precipitation
•Evapotranspiration
•Net radiation
•Biomass production
In near future:
•Water levels
•Groundwater changes
Accounting sheets
WA+ Ca Basin
Digital Elevation Model - Ca Basin
Land use map - Ca Basin
Validation of different remotely sensed rainfall products against rain gauges
CHIRPS is our favorite
Yearly rainfall maps Ca Basin
Monthly validation
Yearly water yield (P – ET) maps – Ca basin
Monthly water yield maps (P – ET) – Ca basin
Monthly river flow in Ca basin at 6 gauging station
Examples ecosystem services
The Day Sub-basin
Evapotranspiration Red River
Courtesy: Gijs Simons
`Day Basin
Day Basin
Day Basin
Day Basin
Day Basin
Day Basin
Supporting slides
Provisioning services Technology Regulating services Technology
Fresh water yield - surface water Water balance from rainfall, ET
and soil moisture
Prevention of water erosion Surface runoff, green cover and
geographical information
Fresh water yield - groundwater Water balance from rainfall, ET
and soil moisture
Groundwater recharge Fraction of rainfall surplus in the
soil water balance
Water for irrigation Blue water consumption Water flow maintenance Baseflow in the soil water balance
Water for hydropower Blue water consumption Shift to drought resilient
agriculture
Difference actual and potential
crop transpiration
Water for wetlands Blue water consumption Nutritionally complete production Nitrogen levels taken up by crops
Water for groundwater dependent
ecosystems
Blue water consumption Carbon storage and sequestration
(incl. blue carbon)
NPP and land use
Crop yield (food) NPP and land use Reduction of greenhouse gas
emissions
Land use and soil moisture (i.e.
inverse aeration)
Crop yield (feed) NPP and land use Enhancing micro- and regional
climate cooling
Sensible and latent heat flux
Crop yield (fiber, fuel, other) NPP and land use Vector-borne water diseases Stagnant water bodies
Crop residues NPP and land use Reduce flood risk in populated
areas
Measuring flooded areas
Timber (forest plantations) NPP and land use Enhance floods in wetlands and
inundation areas
Measuring flooded areas
Reduce sedimentation in reservoirs Total suspended matter
Fuelwood (savannah) NPP and land use Reduce eutrophication in water Inverse modelling of spectral
reflectance
Improved natural livestock feed
production
NPP and land use Habitat quality including
agrobiodiversity
Heterogeneity of canopy cover and
spatial connectivity
Evaporation recycling and rainfall production
Atmospheric moisture recycling within basins is
scientifically proven
Van der Ent et al. (2012)
Components carbon pool
(Mton/ha)
LULC_name LULC C_above C_below C_soil C_dead
Paddy 1 2.6 0.7 54.0 0.5
Grass 2 8.0 8.0 25.0 3.0
Annual Crop 3 3.0 0.7 57.0 0.1
Perennial crops 4 10.0 0.7 65.0 0.1
Industrial tree 5 38.5 7.5 276.2 1.0
Orchard 6 125.0 5.0 115.0 1.0
Forest 7 200.0 100.0 318.2 65.0
Aquaculture 8 0.0 0.0 0.0 0.0
Saltmarsh 9 0.0 0.0 0.0 0.0
Resident 10 75.0 50.0 75.0 1.0
Buildup - resident area 11 3.0 0.7 57.0 0.0
River - canal 12 0.0 0.0 0.0 0.0
Loss of food production Eastern China
Poor practise
Good practise
Provisioning services Ground data Remote sensing Hydr. Modeling Unit Tools
1 Crop yield (food) X kg/ha NPP, Land use
2 Crop yield (feed) X kg/ha NPP, Land use
3 Crop yield (other) X kg/ha NPP, Land use
4 Timber (forest plantations) X kg/ha NPP, Land use
5 Aquaculture (ponds and cages) X kg/ha FAOSTAT
6 Crop residues X kg/ha NPP, Land use
7 Inland capture fishery X kg/ha FAOSTAT
8 Fuelwood X kg/ha NPP, Land use
9 Natural livestock feed production X kg/ha NPP, Land use
10 Water for irrigation X m3/ha SEB, Land use
11 Water for industry & domestic use X m3/ha FAOSTAT
12 Water for livestock X m3/unit SWAT groundwater
13 Water for hydropower X X m3/Kwh Water depth, lake area
Regulating services
14 Maintenance of baseflow (X) X m3/s SWAT
15 Groundwater recharge (X) X m3/ha SWAT
16 Meeting environmental flow requirements (X) X m3/s SWAT
17 Carbon sequestration X kg C/ha NPP, Land use
18 Greenhouse Gas Emissions X kg C/ha Land use
19 Micro-climate cooling X C SEB
20 Enhanced atmospheric moisture recycling (X) X m3/ha Van der Ent model
21
Mitigation extreme flood risk populated
areas
X X m3 m3 MIKE
22
Avoiding crop/livestock losses from water
stress
X kg/ha
SEB
23 Storage capacity X (X) X m3/m3
SWAT, water depth,
area
24 Reduce eutrophication in water X (X) % Chlorophyll model
25 Prevention of water erosion X (X) X kg soil/ha Vegetation cover, SWAT
Habitat services
26 Flora diversity X X No./ha Surveys, LAI
Cultural services
27 Leisure X No./ha Surveys?
www.wateraccounting.org
Qsw outlet
Surface water flow diagram
Why water accounting?
Why water accounting?
Why water accounting?
Why water accounting?

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Why water accounting?

  • 1. Why water accounting ? Wim Bastiaanssen • UNESCO Chair for Global Water Accounting • Professor at Delft University of Technology
  • 2.
  • 3. Developments and trends • Growing population • Expanding cities • Increase food production • Deforestation • Wetland degradation • Leisure • Climate change
  • 5.
  • 6. Different professional languages in water and environmental decision making processes
  • 7.
  • 8. Objectives WA+ Operationalize a standard reporting system on water resources conditions in river basins, including hydrology, water management, land use and the services from consumptive use based on open access data sources, and with a standard terminology. Both current and future conditions can be assessed sheets tables maps
  • 9. Why is ET so important ? • The second largest component of the water balance (after rainfall) • Plants cannot live without ET (food, pastures, nature, parks etc.) • ET is consumptive use of water
  • 10.
  • 11. Development of remote sensing technologies Temperature
  • 12. Models for crop production Measured by satellites
  • 13. Principles of water accounting
  • 14. River basin management options • Modify water flows • Modify land use practices Protected Land Use Utilized Land Use Modified Land Use Managed Water Use
  • 15. Protected Land Use Utilized Land Use Modified Land Use Managed Water Use
  • 16. Data sources will never be complete and made fully accessible, especially when competition on water resources increases Ideal data Real data
  • 17. WA+ is mainly based on accessible satellite data Eyeinthesky
  • 18. Six key data sets from remote sensing •Digital Elevation Model •Land use •Precipitation •Evapotranspiration •Net radiation •Biomass production In near future: •Water levels •Groundwater changes
  • 22. Land use map - Ca Basin
  • 23. Validation of different remotely sensed rainfall products against rain gauges CHIRPS is our favorite
  • 26. Yearly water yield (P – ET) maps – Ca basin
  • 27. Monthly water yield maps (P – ET) – Ca basin
  • 28. Monthly river flow in Ca basin at 6 gauging station
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 37. Evapotranspiration Red River Courtesy: Gijs Simons `Day Basin
  • 44. Provisioning services Technology Regulating services Technology Fresh water yield - surface water Water balance from rainfall, ET and soil moisture Prevention of water erosion Surface runoff, green cover and geographical information Fresh water yield - groundwater Water balance from rainfall, ET and soil moisture Groundwater recharge Fraction of rainfall surplus in the soil water balance Water for irrigation Blue water consumption Water flow maintenance Baseflow in the soil water balance Water for hydropower Blue water consumption Shift to drought resilient agriculture Difference actual and potential crop transpiration Water for wetlands Blue water consumption Nutritionally complete production Nitrogen levels taken up by crops Water for groundwater dependent ecosystems Blue water consumption Carbon storage and sequestration (incl. blue carbon) NPP and land use Crop yield (food) NPP and land use Reduction of greenhouse gas emissions Land use and soil moisture (i.e. inverse aeration) Crop yield (feed) NPP and land use Enhancing micro- and regional climate cooling Sensible and latent heat flux Crop yield (fiber, fuel, other) NPP and land use Vector-borne water diseases Stagnant water bodies Crop residues NPP and land use Reduce flood risk in populated areas Measuring flooded areas Timber (forest plantations) NPP and land use Enhance floods in wetlands and inundation areas Measuring flooded areas Reduce sedimentation in reservoirs Total suspended matter Fuelwood (savannah) NPP and land use Reduce eutrophication in water Inverse modelling of spectral reflectance Improved natural livestock feed production NPP and land use Habitat quality including agrobiodiversity Heterogeneity of canopy cover and spatial connectivity
  • 45.
  • 46.
  • 47. Evaporation recycling and rainfall production
  • 48. Atmospheric moisture recycling within basins is scientifically proven Van der Ent et al. (2012)
  • 49.
  • 50. Components carbon pool (Mton/ha) LULC_name LULC C_above C_below C_soil C_dead Paddy 1 2.6 0.7 54.0 0.5 Grass 2 8.0 8.0 25.0 3.0 Annual Crop 3 3.0 0.7 57.0 0.1 Perennial crops 4 10.0 0.7 65.0 0.1 Industrial tree 5 38.5 7.5 276.2 1.0 Orchard 6 125.0 5.0 115.0 1.0 Forest 7 200.0 100.0 318.2 65.0 Aquaculture 8 0.0 0.0 0.0 0.0 Saltmarsh 9 0.0 0.0 0.0 0.0 Resident 10 75.0 50.0 75.0 1.0 Buildup - resident area 11 3.0 0.7 57.0 0.0 River - canal 12 0.0 0.0 0.0 0.0
  • 51. Loss of food production Eastern China Poor practise Good practise
  • 52. Provisioning services Ground data Remote sensing Hydr. Modeling Unit Tools 1 Crop yield (food) X kg/ha NPP, Land use 2 Crop yield (feed) X kg/ha NPP, Land use 3 Crop yield (other) X kg/ha NPP, Land use 4 Timber (forest plantations) X kg/ha NPP, Land use 5 Aquaculture (ponds and cages) X kg/ha FAOSTAT 6 Crop residues X kg/ha NPP, Land use 7 Inland capture fishery X kg/ha FAOSTAT 8 Fuelwood X kg/ha NPP, Land use 9 Natural livestock feed production X kg/ha NPP, Land use 10 Water for irrigation X m3/ha SEB, Land use 11 Water for industry & domestic use X m3/ha FAOSTAT 12 Water for livestock X m3/unit SWAT groundwater 13 Water for hydropower X X m3/Kwh Water depth, lake area Regulating services 14 Maintenance of baseflow (X) X m3/s SWAT 15 Groundwater recharge (X) X m3/ha SWAT 16 Meeting environmental flow requirements (X) X m3/s SWAT 17 Carbon sequestration X kg C/ha NPP, Land use 18 Greenhouse Gas Emissions X kg C/ha Land use 19 Micro-climate cooling X C SEB 20 Enhanced atmospheric moisture recycling (X) X m3/ha Van der Ent model 21 Mitigation extreme flood risk populated areas X X m3 m3 MIKE 22 Avoiding crop/livestock losses from water stress X kg/ha SEB 23 Storage capacity X (X) X m3/m3 SWAT, water depth, area 24 Reduce eutrophication in water X (X) % Chlorophyll model 25 Prevention of water erosion X (X) X kg soil/ha Vegetation cover, SWAT Habitat services 26 Flora diversity X X No./ha Surveys, LAI Cultural services 27 Leisure X No./ha Surveys?
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.