Full text: Technical Commission VIII (B8)

     
   
    
   
    
  
  
   
    
  
  
   
    
   
   
   
     
   
     
    
    
   
    
   
    
   
  
  
  
  
   
  
> XXXIX-B8, 2012 
nd in upstream of the 
itersheds as shown in 
rshed is calculated. 
  
  
ivati basin 
s in Indravathi basin 
… As per the model 
b-watershed number 
b-watershed number 
ub-watersheds of 
| « &: Slight (P6) 
| 5- 10: Moderate (P5) 
| 10 - 20: High (P4) 
| 20 - 40: Very High (P3 
| 40 - 80: Severe (P2) 
| 80: Very Severe (P1) 
  
EH-CH-H — — HEN 
) 60 km 
  
  
Sub-Watersheds in 
intensity. From the 
' watersheds falls in 
class; P1) is 11. It is 
itersheds falls in P2, 
115 respectively. 
(P1) are found in 
9ss from these sub- 
e sub-watersheds in 
in upstream of the 
-watersheds is 18.87 
s» that though the 
'ones is 9.88, but it 
asin. Therefore, it is 
hese two zones. The 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
area that falls under third priority zone (P3) is 20.52 % and it 
contributes 30.88 % of total soil loss. It is found that forth, fifth 
and sixth priority zones together contribute 69.59 % of total 
area and soil loss from these three zones is 33.59 % of total soil 
loss. 
5. CONCLUSION 
A quantitative assessment of soil loss is made using Universal 
Soil Loss Equation for Indravati catchment. All the thematic 
layers of R, K, LS and C are integrated to generate erosion risk 
map to find out spatial distribution of soil loss within the GIS 
environment. Since the USLE model does not take into account 
transportation and deposition, the actual sediment yield at the 
outlet is likely to be less than the estimated. Generated soil loss 
map is also able to indicate high erosion risk area which is 
useful to soil conservationist and decision makers. Prioritization 
of all 424 sub-watersheds in the Indravathi basin is carried out 
according to soil loss intensity for soil conservation purpose. 
References 
Ashish Pandey., Chowdary, V.M. and Mal, B.C. 2007. 
Identification of critical erosion prone areas in the small 
agricultural watershed using USLE, GIS and remote sensing, 
Water Resour Manage , 21, pp. 729—746. 
Balakrishnan, P., 1986. Issues in water resources development 
and management & the role of remote sensing, Technical report 
of ISRO, India, No.ISRO-NNRMS- TR. pp.67-87 
Chisci, G., and Morgan, R.P.C., 1988. Modelling soil erosion 
by water: Why and how, In: Morgan RPC, Rickson RJ (eds) 
Erosion assessment and modelling, Commission of the 
European communities report no. EUR 10860 EN, pp. 121-146 
Fistikoglu, O., and Harmancioglu, N.B., 2002. Integration of 
GIS with USLE in assessment of soil erosion. Kluwer 
Academic Publishers. Water Resources Management 16, pp. 
447-467 
Jain, S.K., 1994. Integration of GIS and remote sensing in soil 
erosion studies, Report No. CS(AR)-186, National Institute of 
Hydrology, Roorkee, India. 
Jain, S.K., Kumar, S. andVarghese, J., 2001. Estimation of soil 
erosion for a Himalayanwatershed using GIS technique. Kluwer 
Academic Publishers. Water Resources Management 15, 
pp.41-54 
McCool, D.K., Foster, G.R., Mutchler, C.K., and Meyer, L.D., 
1987. Revised slope steepness factor for the universal Soil Loss 
Equation. Trans of ASAE 30(5), pp.1387-1396. 
Meijerink, A.M.J., and Lieshout, A.M.V., 1996. Comparison of 
approaches for erosion modelling using flow accumulation with 
GIS. HydroGIS 235,pp. 437-444. 
Morgan, R. P. C., and Davidson, D. A., 1991. Soil Erosion and 
Conservation, Longman Group, U.K. 
Onyando, J.O., Kisoyan, P., and Chemelil, M.C., 2005. 
Estimation of Potential Soil Erosion for River Perkerra 
Catchment in Kenya. Water Resources Management 19, pp. 
133-143 
Pimentel David., 1993. World soil erosion and conservation 
(Edited), Cambridge University Press, U.K. 
Rao, V.V., Chakravarty, A.K., and Sharma. U., 1994. 
Watershed prioritization based on sediment yield modeling and 
IRS-1A LISS data, Asian-pacific Remote Sensing Journal, 6(2), 
pp. 59-65 
Shrestha, D.P., 2000. Aspects of erosion and sedimentation in 
the Nepalese Himalaya: Highland- Lowland relations. PhD 
thesis, Ghent University, Ghent 
Singh, G., Babu, R., narain, P., Bhusan, L.S., and Abrol, 
I.P.,1992. Soil erosion rates in India. J Soil and water cons, 
47(1). Pp. 97-99. 
Williams, J.R., and Berndt, H.D., 1972. Sediment yield 
computed with universal equation. J Hydrol Div, ASCE 98(12), 
pp. 2087-2098. 
Van der Knijff, J.M., Jones, R.J.A., and Montanarella, L., 2000 
Soil erosion risk assessment in Italy, European Soil Bureau, 
EUR 19044 EN. 
    
     
     
  
  
  
  
  
  
  
  
  
   
    
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.