M.Tech

Soil erosion IS a complex phenomenon involving the detachment and
transport of soil particles, storage and runoff of rainwater and infiltration. Soil
erosion depends on several factors such as climate, soil type, topography,
cropping and land management practices, the antecedent conditions and the size
of the area under consideration.
The present study was carried out in the lateritic terrain of KCAET campus,
Tavanur, Malappuram District. This study was aimed at developing a rainfall
simulator and studying the performance of the developed rainfall simulator, the
effect of rainfall on soil loss, the effect of rainfall on runoff and developing a soil
erosion model.
A rainfall simulator was fabricated to study the erosion processes. Rainbird
12115118 Van Pop up sprinkler heads were used as the drop formers. The
simulator evaluated for its performance. The soil was reddish brown and belonged
to the textural class of sandy loam. It belonged to the Naduvattom series. The
experimental set up consisted of three units viz., the runoff plot, the rainfall
simulator and the runoff-sediment collection unit. Twelve runoff plots with twelve
different slopes of 1.5, 2.0, 2.6, 3.0, 3.2, 4.0, 5.0, 6.0, 9.0, 10, 12 and 13 per cent
in different locations, each plot with a size of2 x 1.5 m were prepared.
The fabricated rainfall simulator could produce rainfall intensities varying
from 8.16 to 8.80 ern/h. The uniformity of rainfall varied from 89.01 to 92.70 per
cent and the average drop size varied from 1.5 to 2.8 mm. A relationship between
supply pressure and intensity of rainfall as well as intensity and uniformity of
rainfall was developed.
Studies were conducted on soil loss and runoff at different land slopes under
simulated rainfall conditions. The soil loss and runoff was found to increase with
increase in rainfall intensity and land slopes and there were no much variations on
runoff and soil loss at 6 to 10 per cent land slopes.

A linear multiple regression analysis and 3D surface plot analysis was used
to incorporate slope and rainfall intensities into a single prediction equation of soil
loss and runoff using SPSS software and MATLAB package.
The linear equations developed by the regression analysis are as follows:



Q = 38.9451 - 11.606 S - 126.391
E = 124.356 1 - 0.807 S -951.420


(R2 = 0.649)
(R 2 = 0.307)



The quadratic equations developed by the 3D surface plot analysis are as
follows:
Q = 130.8 - 28.72 S + 48.12 1 + 2.11 S2 - 1.544 S 1
E = - 647.4 - 49.261 + 86.94 S - 0.3206 12 +6.296 S I
As the variants explained were satisfactory enough to explain the runoff and
soil loss, it may be concluded that the causative factors namely slope and intensity
are bearing directive impact on soil erosion.
A canonical analysis was worked out to determine the effect on runoff and
soil loss by the vector of parameters u ing slope and intensity. Canonical R was
computed and the same was 0.82034 and it is significant at 1 per cent level. Hence
it may be concluded that the vector of process 'including slope and intensity as
parameters together navigates the ultimate impact namely runoff and soil loss.