Damage to agriculture due to water shortage
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Damage to agriculture due to water shortage. Wouter Vanneuville 24-06-2010 Maastricht. Brief overview. Inventory of stakeholders Interviews Workshops Analysis of measures Social acceptance Quantitative analysis Cost-benefit analysis Low water strategy

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Damage to agriculture due to water shortage

Damage to agriculture due to water shortage

  • Wouter Vanneuville

  • 24-06-2010

  • Maastricht


Brief overview

Brief overview

  • Inventory of stakeholders

    • Interviews

    • Workshops

  • Analysis of measures

    • Social acceptance

    • Quantitative analysis

    • Cost-benefit analysis

  • Low water strategy

    • Juridical and technical feasibility


Model instruments

Water chain

Model instruments

Water request

2002

shipping

model

agriculture

model

Qualitative

Consequences

(not able to quantify)

damage

model

Water balance

model

Meteorological

model

Water supply

1976, 2003

Water system


Model instruments1

Model instruments

Water input in a 50% dry year


Model instruments2

Model instruments


Model instruments3

Model instruments

  • 9 strategies are worked out, based on:

  • Costs

  • Water savings

  • Need of different sectors

  • Different weightings


Water use by farm crops

Water use by farm crops

  • Project done by “Bodemkundige Dienst van België”

  • Goal: estimation (time) of water demand (based on water gift) in agriculture (grassland, maize, wheats, potatoes, sugar beet, poplar, vegetables, fruit trees, ornamental plant cultivation and tree nursery)

  • Geographic: alongCampine canals, Albert canal (alsodone for Ghent area)


Based on soil association map

Gentse Kanaalzone

Kempische zone

Based on soil association map


Soil campine area

Soil (Campine area)

L: heavy clay, S: loamy sand


Damage to agriculture due to water shortage

Soil

  • Moisture retention characteristics based on texture and average carbon grade

    • example: L (cultivation layer, Campine area)

  • Capilar subsequent delivery (Stikoba, based on texture)


Land use areas cultivation

Land use (areas, cultivation)

  • Recordings in manure database on parcel level (GIS) for most of the crops

  • Other based on NIS-data (tree nursery, ornamental plant cultivation) or separate data layers (forest)

  • Soil combinations (land use and soil association)

    • example: Maaseik(zone 5, in ha)


Climatology for 2 typical years

Climatology (for 2 typical years)


Rainfall

Rainfall

  • Reliable rainfall: expectable rainfall summation on a given day

  • Cultivation simulation over 46 years, check for typical years


Climatology definition of typical years

Climatology: definition of typical years

Based on 10-day values (correction for run-off and evaporation) >>

Tuning of correction factors


Maximum moisture request

Maximum moisture request

  • ETo x Kc = ETm (Kc : crop factors)

    • mostly: Kc = 1.2 (not for trees: Kc = 1)

  • Actual moisture demand (ETa) based on model simulations

    • Inputs: climatologic typical years (20% dry year, mediumyear)

    • Cultivation characteristics andsoil combinations


Water demand for irrigation and sprinkling

Water demand for irrigation and sprinkling

  • Distinction between intensive (most) and extensive (trees) agriculture

  • Based on several premises (e.g. sub-areas are historically hydromorph and independent of additional water input)


Results

Results


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