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poster - International Conference of Agricultural Engineering

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show that Extvalue and Logistic distribution are most appropriate in compared with other<br />

distributions (Fig 1).<br />

(a) distributions <strong>of</strong> K (b) distributions <strong>of</strong> K<br />

oc<br />

FIGURE 1: Estimated probability density functions <strong>of</strong> input data<br />

Fig. 2 shows the results <strong>of</strong> probabilistic analysis for contaminant concentration-distance<br />

pr<strong>of</strong>iles with the elapse time <strong>of</strong> 800 days by MCS with a sample size <strong>of</strong> 100,000.<br />

(a) distributions by Chi-square test (b) distributions by Hermite polynomials<br />

FIGURE 2: Pr<strong>of</strong>iles <strong>of</strong> concentration-distance for distributions <strong>of</strong> random variables<br />

Although the average pr<strong>of</strong>iles <strong>of</strong> concentration-distance are almost same, range <strong>of</strong><br />

probabilistic concentration is different for the same distance. The probability <strong>of</strong> concentraion<br />

<strong>of</strong> greater than 1 mg/L at distance 80, 90, 100 m and elapsed time <strong>of</strong> 800 days are shown in<br />

Table 3.<br />

MCS<br />

MLS-RSM<br />

TABLE 3: Comparison <strong>of</strong> results by estimation method <strong>of</strong> PDF<br />

The probability <strong>of</strong> concentration<br />

Method<br />

<strong>of</strong> greater than 1 mg/L (%)<br />

80 m 90 m 100 m<br />

Chi-square test 44.9 26.4 13.4<br />

Hermite polynomials 48.6 29.5 14.6<br />

Chi-square test 44.6 26.6 13.5<br />

Hermite polynomials 48.8 29.8 14.5

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