WATER & SOIL - These are not the droids you are looking for.
WATER & SOIL - These are not the droids you are looking for.
WATER & SOIL - These are not the droids you are looking for.
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ln <strong>the</strong> trials undertaken <strong>for</strong> <strong>the</strong> provisional regions<br />
shown dashed in Figure 4.9 both 13901 (Mangawhai) and<br />
15534 (Wairere) showed as outliers in <strong>the</strong> regions to which<br />
<strong>the</strong>y were initially assigned. As <strong>the</strong>y fitted best into <strong>the</strong><br />
adjacent pumice region, <strong>the</strong>y were placed <strong>the</strong>re <strong>for</strong> <strong>the</strong> final<br />
analysis. This required extension of <strong>the</strong> pumice region into<br />
<strong>the</strong> coastal Bay of Plenty <strong>are</strong>a; in terms of <strong>the</strong> hydrological<br />
regions of Toebes and Palmer (1969) it includes Tauranga<br />
and Opotiki regions. This assignment is tentative because<br />
<strong>the</strong> soils in <strong>the</strong>se catchments <strong>are</strong> <strong>not</strong> pumice to <strong>the</strong> extent of<br />
o<strong>the</strong>rs in <strong>the</strong> Rotorua/Taupo <strong>are</strong>a. Their better fit with <strong>the</strong><br />
pumice region could be <strong>the</strong> result of inaccurate rainfall intensity<br />
statistics.<br />
4.6.3 Final equations <strong>for</strong> North lsland<br />
Table 4.1O Stepwise regressions <strong>for</strong> final North lsland regions.<br />
After a number of trials, final equations were developed<br />
<strong>for</strong> <strong>the</strong> regions shown in Figure 4.10. The stepwise regression<br />
results <strong>are</strong> givern in Table 4. 10. In all but one case <strong>the</strong><br />
best fit equation includes AREA and one or two of <strong>the</strong><br />
rainfall statistics. The exception is <strong>the</strong> Manawatu/WairarapalWellington<br />
region were <strong>the</strong> equation including AREA,<br />
1224 and FOREST provides a very good fit. However,<br />
when MARAIN is substituted <strong>for</strong> FOREST in <strong>the</strong> equation<br />
it is almost as good; this is preferred as it should provide a<br />
more robust estimator. The table shows that <strong>for</strong> every region<br />
<strong>the</strong> accuracy of estimate can be improved by including<br />
a rainfall statistic in addition to AREA, and also, that o<strong>the</strong>r<br />
catchment parameters with <strong>the</strong> possible exception of FOR-<br />
EST in one region <strong>are</strong> <strong>not</strong> of importance. It is possible that<br />
FOREST does <strong>not</strong> directly influence flood size; ra<strong>the</strong>r it<br />
does so indirectly to <strong>the</strong> extent that correlations occur between<br />
FOREST and <strong>the</strong> rainfall statistics (Table 4.7). For<br />
<strong>the</strong> Manawatu/Wairarapa/Vr'ellington region where FOR-<br />
EST was most dominant in <strong>the</strong>se regional equations, <strong>the</strong><br />
Region<br />
Northland/<br />
Coromandel/<br />
East Cape<br />
{21 catchments}<br />
Pumice Land<br />
( 1 4 catchments)<br />
East Coast<br />
(1 1 catchments)<br />
Manawatu/<br />
Wairarapa/<br />
Wellington<br />
( 1 9 catchments)<br />
West Coast<br />
(25 catchments)<br />
Number Variable<br />
Varìables Name<br />
1<br />
2<br />
1<br />
2<br />
1<br />
2<br />
1<br />
2<br />
AREA<br />
AREA<br />
MARAIN<br />
AREA<br />
MARAIN<br />
ELEV<br />
AREA<br />
MARAIN<br />
ELEV<br />
LENGTH<br />
AREA<br />
AREA<br />
t224<br />
AREA<br />
t224<br />
MARAIN<br />
AREA<br />
t224<br />
MARAIN<br />
FOREST<br />
AREA<br />
AREA<br />
t224<br />
AREA<br />
AREA<br />
FOREST<br />
AREA<br />
FOREST<br />
t224<br />
AREA<br />
t224<br />
MARAIN<br />
AREA<br />
AREA<br />
t224<br />
AREA<br />
t224<br />
MARAIN<br />
AREA<br />
t224<br />
MARAIN<br />
FOREST<br />
Coef<br />
bl<br />
se<br />
of coef<br />
R2<br />
SE<br />
est<br />
o.70 0.06 10.8+ 0.927 0.86 0.237<br />
0.64 0.o3 19.5* 0.983 0.97 0.1 19<br />
2.33 0.31 7.6*<br />
0.62 0.o3 18.7* 0.986 0.97 0.1 10<br />
2.O1 0.33 6.2*<br />
o.22 0.11 2.O<br />
o.84 0.16 5.2* 0.988 0.98 0.107<br />
2.O3 0.32 6.4*<br />
o.21 0.11 2.O<br />
-o.39 0.28 -1.4<br />
Const Multipl¡er<br />
loga a<br />
0.807 6.42<br />
-6.66 2.18 x 10'+<br />
- 6.OB 8.24 x 'l O-7<br />
-6.06 8.71 x 1O'<br />
0.67 0.12 5.5* o.a44 0.71 0.348 0.0933 1.24<br />
0.83 0.06 13.5* O.971 O.94 O.161 -7.94 1.15x1O-8<br />
4.O2 0.60 6.7*<br />
o.74 o.06 12.2* 0.984 O.97 Oi2A - 10.51 3.Og x 'l O{1 +<br />
2.54 o.72 3.5*<br />
1.75 0.64 2.7 *<br />
O.88 O.O9 9.9* 0.989 O.98 O.111 -11.94 1.15x1O{'?<br />
3.16 0.70 4.5*<br />
1.80 0.56 3.2*<br />
-o.17 0.o9 -2.O<br />
o.80 0.o8 10.6*<br />
0.76 0.o3 27.4*<br />
2.24 0.29 7.8*<br />
0.90 0.1 3 6.9*<br />
o.72<br />
0.46<br />
o.82<br />
1.53<br />
o.94<br />
0.06 12.2*<br />
o.o5 8.9-<br />
o.74 0.o4 16.7*<br />
o.34 0.o5 6.7*<br />
1.22 0.33 3.7*<br />
o.o5 15.8*<br />
o.19 4.O*<br />
o.39 4.9*<br />
o.85 0.o8 1 1.3*<br />
o.az 0.o5 16.7*<br />
2.18 0.38 5.8*<br />
o.82 0.o5 17.7*<br />
1.67 0.44 3.8*<br />
0.78 0.39 1.9<br />
o.79 0.o5 16.1 *<br />
1.6'l O.42 3.8*<br />
0.80 0.37 2.1<br />
0.1 1 0.06 1.8<br />
0.963 0.93 0.227<br />
0.996 0.99 0.082<br />
o.858 0.74 0.341<br />
0.978 0.96 0.144<br />
0.988 0.98 0.107<br />
0.982 0.96 0.1 18<br />
o.974 0.95 0.157<br />
0.977 0.96 0.1 50<br />
0.296 1.98<br />
-4.O5 8.84 x 10{ +<br />
0.232 1.70<br />
o.1 58 1.44<br />
-2.O5 8.99 x 1O-"<br />
-5.51 3.12x10-6 +<br />
0.920 0.85 0.258 0j82 1.52<br />
0.969 O.94 O.1 67 - 3.83 1 .48 x 1O-1 +<br />
- 5.41 3.87 x 10-6<br />
-5.51 3.13x10-6<br />
* significant at 5olo level<br />
+ preferred equation<br />
Water & soil technical publication no. 20 (1982)<br />
69