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The impact of <strong>in</strong>tensive water harvest<strong>in</strong>g<br />
along dra<strong>in</strong>age l<strong>in</strong>es on tank <strong>in</strong>flows was<br />
estimated us<strong>in</strong>g a simple “bucket-type” water<br />
balance model. The ma<strong>in</strong> aim of this model be<strong>in</strong>g<br />
to assess the affects of the additional storage<br />
created by new water harvest<strong>in</strong>g structures and<br />
the relationship between runoff attenuation and<br />
different patterns of ra<strong>in</strong>fall. Dur<strong>in</strong>g the Water<br />
Audit, runoff analysis was carried out us<strong>in</strong>g data<br />
from five representative tank catchment areas <strong>in</strong><br />
southern Andhra Pradesh and north-eastern<br />
Karnataka. Runoff estimates were made us<strong>in</strong>g a<br />
version of the SCS method that has been<br />
modified for Indian conditions (see Box 7).<br />
The ma<strong>in</strong> f<strong>in</strong>d<strong>in</strong>gs of this analysis were crosschecked<br />
aga<strong>in</strong>st the perceptions and knowledge<br />
of villagers and NGO staff liv<strong>in</strong>g and work<strong>in</strong>g<br />
near to the five tank systems that were studied <strong>in</strong><br />
detail. Subsequent to the Water Audit the model<br />
was ref<strong>in</strong>ed by the WHiRL Project and an<br />
Excel-based version was developed based on a<br />
daily time step. This model was then used to<br />
analyse the affects of water harvest<strong>in</strong>g on patterns<br />
and availability of runoff <strong>in</strong> the catchment areas<br />
of an additional six tanks <strong>in</strong> Kalyandurg.<br />
Leak<strong>in</strong>g taps <strong>in</strong> Kocheruvu village, Dhone<br />
Box 7. Runoff estimation us<strong>in</strong>g<br />
the SCS method<br />
The SCS method for estimat<strong>in</strong>g runoff<br />
can be applied to small agricultural<br />
catchments. Although it was<br />
developed orig<strong>in</strong>ally us<strong>in</strong>g data<br />
obta<strong>in</strong>ed <strong>in</strong> the US, the method has<br />
been modified to suit Indian<br />
conditions (e.g. S<strong>in</strong>gh et al., 1990).<br />
The equation govern<strong>in</strong>g the relations<br />
between ra<strong>in</strong>fall and runoff used <strong>in</strong><br />
the study <strong>report</strong>ed here was:<br />
Q = (P – I a<br />
) 2 / (P – I a<br />
) + S<br />
Where,<br />
Q = actual runoff (mm)<br />
P = run-off generat<strong>in</strong>g ra<strong>in</strong>fall<br />
(mm)<br />
S = maximum potential ra<strong>in</strong>fall<br />
retention (mm)<br />
I a<br />
= Initial abstraction (0.1S and<br />
0.2S for black and red soils<br />
respectively)<br />
The maximum potential ra<strong>in</strong>fall<br />
retention was calculated by the<br />
equation:<br />
S = (25400 / CN) -254<br />
Where,<br />
CN is the curve number taken from<br />
S<strong>in</strong>gh et al (1990). (CN falls <strong>in</strong><br />
the range 1-100. When CN = 100<br />
all the ra<strong>in</strong> runs off and S = 0 and<br />
P = Q).<br />
Runoff generat<strong>in</strong>g ra<strong>in</strong>fall was<br />
calculated us<strong>in</strong>g the follow<strong>in</strong>g<br />
equation:<br />
P = 0.7R – 21.2<br />
Where,<br />
R = daily ra<strong>in</strong>fall (mm).<br />
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