[APRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”. Hyderabad, India,2002
The results are presented in the form of map showing various
ranges of soil loss (Figure 4).
Figure 4. Soil Loss Map of the Study Area
It is noted that the erosion rate in the forest area is significantly
less (1.27 tons/ha/year and 0.86 tons/ha/year) as compared to
other three types of land covers in both the method of soil loss
estimation. The variation in average annual soil loss is between
0.42 tons/ha/year to 1.82 tons/ha/year. This indicates the
management activities taking place in the forest area as well
morphological variations in the catchment area. In the
catchment about 20% is covered by shrubs and the average soil
erosion estimated is 3.37 tons/ha/year. This is quite higher than
the forested belt. Similarly, in the case of agriculture land soil
erosion varies between 9 tons/ha/year to 16 tons/ha/year with
an average annual loss of 12.37 tons/ha/year. This high rate of
erosion in the Malaprabha sub-basin is very significant. The
major reason for this could be due to the alarming rate of forest
degradation accompanied by conversion of forest land to
agriculture land, which give rise high soil erosion. Further, the
cropping pattern, which plays a considerable role in soil
erosion also lead to, enhanced erosion. A study carried out by
Purandara (1997) using WEPP model indicated the role of
cropping pattern on soil erosion. The study reported that Jowar
and ground nut is the major contributor soil erosion as
compared to other crops. In the study area, only 1.15 sq. km
area is covered by barren land and the average soil loss
estimated for the barren land is 3.57 tons/ha/year. Therefore, it is
necessary to take appropriate steps to improve the land conditions
through selective afforestation activities. A study conducted by
Purandara et al (2000) showed considerable decrease in soil hydraulic
properties (particularly infiltration and hydraulic conductivity in the
study area) which is one of the major cause for high soil erosion rate
under barren land and scrubs.
4. CONCLUSIONS
The present study indicated two significant results in the catchment.
The foremost is that the conversion of forest land to agriculture land
leads to severe erosion which is about 10 times more than the erosion
observed in forested area and 4 times more than in scrubs and barren
lands. Therefore, it is important to consider the land management
activities with due importance soil erosion and sedimentation
problems. The second fact which is observed through the study is the
application of GIS technique for the estimation of soil erosion in
place of conventional method of soil loss calculation which gave a
close proximity to the one estimated through GIS technique (ILWIS
package). Therefore, this method can be adopted as an alternative
technique for faster and better results.
S. REFERENCES
Purandara, B. K., 1997. Application of WEPP, WATBAL and
WATSED Model to Malaprabha Sub-basin. UNDP Training Report,
IND/90/003, NIH, Roorkee.
Purandara, B. K., Kumar, C. P., Venkatesh, B. and P. R. S. Rao,
2000. Spatial Variation of Soil and Hydrological Characteristics of
Selected Watersheds in Hard Rock Region. NIH Technical Report
CS/AR-5/1999-2000.
Singh, G., Ram Babu and Subhash Chandra, 1981. Soil Loss
Prediction Research in India. CSWCRTI, Dehradun. Bulletin no. T-
12/D-9.
Wischmeier , W. H. and Smith, D. D., 1958. Rainfall Energy and Its
Relationship to Soil Loss. Trans Am. Geophys. Union, (39), pp.285-
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