Framework for Assessing the Impact of Salinity on Productivity Amy Cheung University of New South...
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Transcript of Framework for Assessing the Impact of Salinity on Productivity Amy Cheung University of New South...
Framework for Assessing the Impact of Salinity on Productivity
Amy CheungUniversity of New South WalesWorkshop: “Policy Choices for Salinity Mitigation: Bridging the Disciplinary Divides”1-2 February 2007
1. Introduction
Salinity: mobilisation of salt in soil due to rising watertables from increased leakages into groundwater system
No fundamental difference in the hydrologic process: whether this rise was caused by reduction in deep-rooted native vegetation, or by natural means
1. Introduction
Salinity becomes problematic: damage to built and natural assets (roads, buildings, agricultural production, biodiversity, rivers and water supplies)
Threatens sustainability of productive agriculture areas and natural resources
Estimates of total cost and impact of salinity varies partly due complexity of the salinity problem, thus reliability of estimates
1. Introduction
No single solution can be applied to vastly different conditions across Australia: regional variations in hydrogeology, soil characteristics, climate
Effects of salinity:- not felt most severely in immediate vicinity of
the activity which generates the degradation- spread throughout the catchment area of a
given stream, termed “externalities” or off-site effects
1. Introduction
Aim: build a framework for assessing impact of salinity on farm productivity
That is, the effect this externality (salt) has on farm productivity
Large literature devoted to farm productivity – but production inputs are treated as either discretionary or non-discretionary
Salinity is an interesting case: located in between the two cases
2. Formulating the problem
Salinity: a bundled input with clean catchment water.
Salt + clean catchment water = saline water, z
Impact of applying this z to production on three farms, located from upstream to downstream
Effect of z on productivity – expect reduction in productivity as quality of water decreases
2. Formulating the problem
E.g. Same volume of z on two identical farms, situated upstream and downstream respectively, will not produce the same amount of output.
Quality of water deteriorates over time (unless with engineering intervention).
The movement of z units of water can be formulated into a network.
Begin with figure 1:
2. Formulating the problem
Figure 1
3
1
2
Upstream
Downstream
z
z
12z
23z
13z
2. Formulating the problem
Shows how much saline water z moves from each farm
Farm 1 passes saline water to farm 2, and farm 2 passes saline water to farm 3
Farm 1 can pass saline water to farm 3
2. Formulating the problem
z varies in quality as it moves from farm to farm
To show quality change, denoting: s = the quality of saline water (the amount of
“salt” in the water) v = the quantity of saline water (the volume of
water moved), z=f(v, s) Figure 2 illustrates the change in the quantity
and quality of saline water in the catchment.
2. Formulating the problem
Figure 2
3
1
2
Upstream
Downstream
z
z
12 12,v s
23 23,v s
13 13,v s
2. Formulating the problem
Accommodate this “saline water” z variable into formulation
(i) Consider including z as discretionary inputs:
Then z can be treated as other inputs (x) to produce output (y), that farmer can control over the amount of z into production.
2. Formulating the problem
True that farmer i has discretion over the quantity of water applied onto farm
But may not be possible to reduce the amount of salt in the water
(ii) Perhaps may be better to treat z as a non-discretionary variable since:
Farmer can’t alter the quality of the water
2. Formulating the problem
Ambiguous direction: z bundles “productive” water and “counter-productive” salt
Further complication arises: a multi-period case where the quality of z deteriorates over time (water quality not uniform)
Consideration of a network model:
3. Salinity as a network problem Formulate the three farms over time as a
network. Begin with attaching a cost c with each
movement of z c = combine cost of transporting water and
the cost of the change in quality in the water (e.g. cost on the farmer) as it moves from one farm to the next.
3. Salinity as a network problem Assume: c of moving increasing saline water
increases from one farm to the next Assuming in any one period, Figure 3 illustrates the different cost across
the three farms.
1 3 1 2 23c c c
Figure 3
3. Salinity as a network problem In the next period, accumulation of salt in the
water affects the farms. E.g. Assume the same amount of water
passes through the system over three periods, illustrated in figure 4:
3 t-1
1 t-1
2t-1
z
3t
1t
2t
3t+1
1t+1
2t+1
z
c3c2
c1
c4
c8
c7
c9
c5
c11
c12
c13
c6
c10
c14
c15
Figure 4
3. Salinity as a network problem Each node (e.g. 1t ) represents a farm in a
certain period cn is the cost of farm (due to salinity)
3. Salinity as a network problem Addition of time interdependence allows the
model to potentially assess the effectiveness of different policy options over time.
E.g. test policy via experiments, simulations Inclusion of uncertainty, such as the weather,
water reliability, extent of salt mobilisation in a given catchment
3. Salinity as a network problem ci=f(vi,xi, si ,i, ,)
yi=g(ci)
vi , xi discretionary variable
si ,i, = non-discretionary variable
4. Data requirement
To test this framework, the following data may be required:Value of farm produce:
Prices, quantitiesFarm inputs:
Land, Labour, CapitalWater input:
v = records of water usage s = the quality (EC levels)
4. Data requirement
Type of industry/crops across a catchment Salt tolerance of these crops:
At which point will saline water begin to reduce, stun, and terminates growth?
e.g. Change plant at times where c for a farm reaches some level to adapt to water quality changes
5. Summary
Salinity: a bundled input with clean catchment water.
Consideration of a network model: Assume: c of moving increasing saline water
increases from one farm to the next Addition of time interdependence allows the
model to potentially assess the effectiveness of different policy options over time.