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WATER & SOIL - These are not the droids you are looking for.

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I ]n<br />

e<br />

d qgoinst CATCHMENT AREA <strong>for</strong> South Istond x<br />

64<br />

x+O<br />

¡XOs<br />

Xt<br />

x<br />

o<br />

74314 Toieri<br />

1é<br />

x V,/est CoqsT<br />

+ Eqst Coost<br />

O Intond Morlborough/<br />

Conterbury<br />

O Mqckenzie, Inlqnd Ofogo,<br />

Southlond<br />

10<br />

Iotch me n I<br />

100<br />

A¡e u (kmz)<br />

1000 10000<br />

Fþure 4.3 O vs AREA, South lsland catchments.<br />

<strong>the</strong> inland hill country of Marlborough and Canterbury.<br />

The sou<strong>the</strong>rn part includes <strong>the</strong> Waitaki River basin, inland<br />

Otago and most of Southland. This division is made on <strong>the</strong><br />

basis that with <strong>the</strong> exception of coastal Southland, <strong>the</strong><br />

sou<strong>the</strong>rn part is a low rainfall <strong>are</strong>a <strong>for</strong> which Q rvas overestimated<br />

by <strong>the</strong> equation.<br />

The regional division is evident in Figure 4.3. When <strong>the</strong><br />

catchments were identified according to <strong>the</strong> region including<br />

<strong>the</strong>m, it was found that data <strong>for</strong> West and East Coast<br />

regions tend to lie in an upper band. Those <strong>for</strong> Inland Ma¡lborough/Canterbury<br />

tend to lie in a central band, whereas<br />

those <strong>for</strong> Inland Otago and Southland tend to lie in a lower<br />

band.<br />

The data were grouped according to <strong>the</strong>se regions and regional<br />

stepwise regressions were calculated (Table 4.5). In<br />

all cases AREA is <strong>the</strong> most important variable, although in<br />

all regions additional variation in log Q is explained by<br />

o<strong>the</strong>r variables. In <strong>the</strong> West Coast, and Inland Otago and<br />

Southland, rainfall intensity (I2Z)'signifïcantly improves<br />

<strong>the</strong> fit of <strong>the</strong> estimating equations.<br />

For <strong>the</strong> East Coast, MARAIN is <strong>the</strong> second most important<br />

variable. The reason this is more important than I2Z is<br />

<strong>the</strong>re<strong>for</strong>e preferred.<br />

Water & soil technical publication no. 20 (1982)<br />

<strong>not</strong> obvious. It naay be that, because <strong>the</strong> East Coast catchments<br />

<strong>are</strong> relatively small (<strong>the</strong> largest, Station 64301 is<br />

464 km'z), <strong>the</strong> 2-hour storm intensity may be more important<br />

than <strong>the</strong> Z4-hour figure used. However, such in<strong>for</strong>mation<br />

was <strong>not</strong> generally available. The appropriateness of<br />

annual rainfall <strong>for</strong> estimating a flood parameter is open to<br />

question, but it is supported by Figure 4.5. This figure<br />

shows that, with <strong>the</strong> exception of Station 65Ð2, <strong>the</strong>re appearsto<br />

be a linear relationship between log MARAIN and<br />

<strong>the</strong> residual of log Q, after <strong>the</strong> effect of AREA is removed.<br />

This is <strong>the</strong> justification <strong>for</strong> including MARAIN in <strong>the</strong> estimating<br />

equation.<br />

For Inland Marlborough/Canterbury FOREST appears<br />

as significant in <strong>the</strong> best-fit equation. However, this is a little<br />

deceptive since only 4 of <strong>the</strong> 15 of <strong>the</strong> catchments in this<br />

region <strong>are</strong> more than l09o <strong>for</strong>ested and <strong>the</strong> ma¡

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