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The Load-based Nutrient Delivery Ratio model reduces the amount of nutrient leaving a functional unit (FU) in the quick flow as a function of the amount of load generated in the FU, similar to the Load-based Sediment Delivery Ratio. Constituents in the slow flow remain unchanged.

This model is applied at the functional unit scale, but can have catchment-wide effects. The model assumes a daily time-step.

Cooperative Research Centre for Catchment Hydrology. The model was originally developed for EMSS (Hairsine 2001).

Source v2.10

Load-based Nutrient Delivery Ratio is automatically installed with Source.

For nutrient trapping, the approach is similar to that of the load-based sediment delivery ratio model, with some allowance for enrichment due to factors such as the differential attachment to different particle sizes. The Nutrient Delivery Ratio (NDR) varies from 0 to 1, depending on loading (t/km/yr) as shown in Figure 98. More details are provided in Hairsine (2001).

The sediment loading rate threshold (SLRT) is the threshold below which everything is trapped. The Sediment Loading Rate at Sill (SLRS) is the maximum loading rate above which nothing is trapped.

The filter model is constrained by the proportion of the total stream length that is covered by a riparian zone.

The relationship between the nutrient delivery ratio as a function of the sediment loading rate (SLR) and the two thresholds is described by a quadratic function:

Figure 94

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That function is defined by specifying the nutrient delivery ratio at SLR50 = 0.5 • (SLRT + SLRS), from which a unique function is defined.

This function satisfies the following three constraints:

• NDR = 0 when SDR = 0
• NDR = 1 when SDR = 1
• NDR > SRD when 0 < SDR < 1

From the first constraint:

Figure 77

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so that:

Figure 96

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From the second constraint:

Figure 79

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A further constraint needs to be introduced to solve for a, b and c. Let K be a matching value so that 0.5<K<1 in the following expression:

Figure 81

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K in Equation 369 effectively describes the shape of the curve in Figure 99.

Combining Equation 367 and Equation 368 gives:

Table 9

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or:

Equation 154

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Combining Equation 367 and Equation 369 gives:

Equation

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Substituting equation Equation 371 into Equation 372 gives:

Figure 87

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or

Figure 85

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The constant b can be obtained by substituting equation Equation 374 into equation Equation 371.

Evaluating a, b and c using initial estimates of K

Taking the initial estimates of:

• SLRT=0.1 tonnes/kilometre/year
• SLRS=10 tonnes/kilometre/year
• SLR50=5.05 tonnes/kilometre/year

and the initial estimates of K(total phosphorus)=0.8 and K(total nitrogen) =0.7 in equation Equation 374:

b•(TP)= 0.225

b•(TN)= 0.183

Thus from equation Equation 371:

a•(TP)= -1.228e-2

a•(TN)= -8.118e-3

and from equation Equation 367:

c•(TP)= -0.0224

c•(TN)= -0.0183

These initial estimate functions are plotted in Figure 100 and Figure 101.

Data for the SLRT, SLRS, SLR50 values are required, for which the model linearly interpolates between these values to determine the output loading rate.

Image Modified Sediment and nutrient loading rates will be catchment specific and depend on the load generated. Therefore it is recommended that you examine the typical loads generated for the reach of interest prior to applying the filter model. This will enable you to establish sensible average annual load rates per km of riparian filter..

The model is constrained by the proportion of the total stream length that is covered by a riparian zone. (ie. stream riparian proportion / stream length in metres).

Model parameters are summarised in Table 78.

A time series of nutrient or solute load.

Hairsine, P 2001, Notes on the EMSS Riparian zone model for sediment and nutrient delivery, unpublished Notes, CSIRO Land and Water.

Herron, NF & Hairsine PB 1998, ‘A scheme for evaluating the effectiveness of riparian zones in reducing overland flow to streams’, Australian Journal of Soil Research, vol. 36, no. 4, pp. 683-98.

Karssies L, & Prosser, IP 2001, ‘Designing grass filter strips to trap sediment and attached nutrient’, Proceedings of third Australian Stream Management Conference, CRC for Catchment Hydrology, pp. 349-353.

Dillaha, TA, Reneau RB, Motaghimi, S & Lee D 1989, ‘Vegetative filter strips for agricultural nonpoint source pollution control’, Transactions ASAE, vol. 32, pp. 513-519.