Skip to main content

Geospatial technology for prioritization of Koyna River basin of India based on soil erosion rates using different approaches

Abstract

The information about different morphometric parameters of any watershed is necessary for better watershed management and planning. This study aimed to investigate morphometric characteristics, to assess the soil erosion risk, and to prioritize different sub-watersheds of the Koyna River basin, India, with two different approaches using geospatial technology. Different linear, shape, and relief parameters of the basin were estimated and analyzed. The linear and shape parameters indicated that the basin has less flood hazard. The relief parameters indicated that the basin has moderate roughness and unevenness. The parallel drainage pattern is dominant inside the basin due to the highly elongated nature of the basin. The bifurcation ratio (Rb) indicated lithological and geological variations inside the basin. Two different approaches namely morphometric analysis and empirical Revised Universal Soil Loss Equation (RUSLE) method were applied for prioritization of different sub-watersheds. Rainfall, soil, digital elevation model (DEM), and normalized difference vegetation index (NDVI) data were used for identifying erosion-prone zones with RUSLE analysis. Based on RUSLE analysis, the entire study area was divided into five soil erosion risk classes namely very slight (80.43 %), slight (14.94 %), moderate (3.21 %), severe (0.79 %), and very severe (0.63%), respectively. Most of the study area was found to be under a very slight soil erosion vulnerability class based on the RUSLE approach. The conservation practices should be carried out as per the priority ranking of different sub-watershed based on soil erosion rates. The results found in this study can surely assist in the implementation of soil conservation planning and management practices to reduce soil loss in the Koyna River basin of India.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Data Availability

Not applicable

References

  • Adhikary PP, Dash CJ (2018) Morphometric analysis of Katra watershed of Eastern Ghats: a GIS approach. Int J Curr Microbiol App Sci 7:1651–1665

    Article  Google Scholar 

  • Aher PD, Adinarayana J, Gorantiwar SD (2014) Quantification of morphometric characterization and prioritization for management planning in semi-arid tropics of India: a remote sensing and GIS approach. J Hydrol 511:550–560

    Article  Google Scholar 

  • Ahmed SA, Chandrashekarappa KN, Raj SK, Nischitha V, Kavitha G (2010) Evaluation of morphometric parameters derived from ASTER and SRTM DEM - a study on Bandihole sub-watershed basin in Karnataka. J Indian Soc Remote Sens 38:227–238

    Article  Google Scholar 

  • Aparna P, Nigee K, Shimna P, Drissia TK (2015) Quantitative analysis of geomorphology and flow pattern analysis of Muvattupuzha River basin using Geographic Information System. Aquatic Proc 4:609–616

    Article  Google Scholar 

  • Balasubramanian A, Duraisamy K, Thirumalaisamy S, Krishnaraj S, Yatheendradasan RK (2017) Prioritization of subwatersheds based on quantitative morphometric analysis in lower Bhavani basin, Tamil Nadu, India using DEM and GIS techniques. Arab J Geosci. https://doi.org/10.1007/s12517-017-3312-6

  • Bharadwaj AK, Pradeep C, Thirumalaivasan D, Shankar CP, Madhavan N (2014) Morphometric analysis of Adyar watershed. IOSR J Mech Civil Eng 71-77

  • Biswas S, Sudhakar S, Desai VR (1999) Prioritisation of subwatersheds based on morphometric analysis of drainage basin: a remote sensing and GIS approach. J Indian Soc Remote Sens 27:155–166

    Article  Google Scholar 

  • Chadli K (2016) Estimation of soil loss using RUSLE model for Sebou watershed (Morocco). Model Earth Syst Environ 2:51

    Article  Google Scholar 

  • Chandrashekar H, Lokesh KV, Sameena M, Jyothi R, Ranganna G (2015) GIS-based morphometric analysis of two reservoir catchments of Arkavati River, Ramanagaram District, Karnataka. Aquatic Proc 4:1345–1353

    Article  Google Scholar 

  • Chougale SS, Jagdish BS (2017) Morphometric analysis of Kadvi River basin, Maharashtra using geospatial techniques. Curr World Environ 12:635–645

    Article  Google Scholar 

  • Das D (2014) Identification of erosion prone areas by morphometric analysis using GIS. J Inst Eng India Ser A 95:61–74

    Article  Google Scholar 

  • Faniran A (1968) The index of drainage intensity - a provisional new drainage factor. Aust J Sci 31:328–330

    Google Scholar 

  • Gajbhiye S, Mishra SK, Pandey A (2014) Prioritizing erosion-prone area through morphometric analysis: an RS and GIS perspective. Appl Water Sci 4:51–61

    Article  Google Scholar 

  • Ganasri BP, Ramesh H (2016) Assessment of soil erosion by RUSLE model using remote sensing and GIS – a case study of Nethravathi Basin. Geosci Front 7:953–961

    Article  Google Scholar 

  • Gelagay HS, Minale AS (2016) Soil loss estimation using GIS and remote sensing techniques: a case of Koga watershed, Northwestern Ethiopia. Int Soil Water Conserv Res 4:126–136

    Article  Google Scholar 

  • Hembram TK, Saha S (2020) Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India. Environ Dev Sustain 22(2):1241–1268

    Article  Google Scholar 

  • Horton RE (1932) Drainage basin characteristics. Trans Am Geophys Union 13:350–361

    Article  Google Scholar 

  • Horton RE (1945) Erosional development of streams and their drainage basins. Geol Soc Am Bull 56:275–370

    Article  Google Scholar 

  • Jain MK, Das D (2010) Estimation of sediment yield and areas of soil erosion and deposition for watershed prioritization using GIS and remote sensing. Water Resour Manag 24:2091–2112

    Article  Google Scholar 

  • Javed A, Khanday MY, Ahmed R (2009) Prioritization of sub-watersheds based on morphometric and land use analysis using remote sensing and GIS techniques. J Indian Soc Remote Sens 37:261–274

    Article  Google Scholar 

  • Johnwilson JS, Chandrasekar N, Magesh NS (2012) Morphometric analysis of major sub-watersheds in Aiyar and Karai Pottanar basin, Central Tamil Nadu, India using remote sensing and GIS techniques. Bonfring Int J Industr Eng Manag Sci 2:8–15

    Article  Google Scholar 

  • Kar G, Kumar A, Singh R (2009) Spatial distribution of soil hydro-physical properties and morphometric analysis of a rainfed watershed as a tool for sustainable land use planning. Agric Water Manag 96:1449–1459

    Article  Google Scholar 

  • Kaushal N, Singh S (2013) Quantitative analysis of drainage system is an important aspect of prioritisation of watersheds. Int J Sci Technol Manag 2:39–50

    Google Scholar 

  • Khare D, Mondal A, Kundu S, Mishra PK (2017) Climate change impact on soil erosion in the Mandakini River basin, North India. Appl Water Sci 7:2373–2383

    Article  Google Scholar 

  • Kibate G, Gessesse B (2018) Hydro-geomorphological characterization of Dhidhessa River basin, Ethiopia. Int Soil Water Conserv Res 6:175–183

    Article  Google Scholar 

  • Kouli M, Soupios P, Vallianatos F (2009) Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environ Geol 57:483–497

    Article  Google Scholar 

  • Lole AA, Koren SB, Sagar RS, Dhokare AS, Bagade AS, Londhe SS (2016) Morphometric analysis of Herle Nala basin, Kolhapur district, Maharashtra, India. Int Res J Eng Tech 3:1771–1775

    Google Scholar 

  • Malik A, Kumar A, Kandpal H (2019) Morphometric analysis and prioritization of sub-watersheds in a hilly watershed using weighted sum approach. Arab J Geosci 12:118

    Article  Google Scholar 

  • Melton MA (1957) An analysis of the relations among elements of climate, surface properties and geomorphology. Technical Report Number 11, Project NR 389-042, Columbia University, Department of Geology, Office of Naval Research, New York, USA

  • Meshram SG, Sharma SK (2017) Prioritization of watershed through morphometric parameters: a PCA-based approach. Appl Water Sci 7:1505–1519

    Article  Google Scholar 

  • Miller VC (1953) A quantitative geomorphic study of drainage basin characteristics in the Clinch Mountain area, Virginia and Tennessee. Technical Report Number 3, Project NR 389-402, Columbia University, Department of Geology, ONR, New York, USA

  • Muhammad T, Yogrema SP, Noorlaila H (2015) The utilization of global digital elevation model for watershed management a case study: Bungbuntu Sub Watershed, Pamekasan. Procedia Environ Sci 24:297–302

    Article  Google Scholar 

  • Nigam GK, Tripathi MP, Ambast SK, Kumar L, Khalkho D (2017) Morphometric analysis of drainage basin using aerial photographs: a case of Karun watershed of Seonath sub-basin of Chhattisgarh. Int J Adv Biotechnol Res 7:623–629

    Google Scholar 

  • Ostovari Y, Ghorbani-Dashtaki S, Bahrami H, Naderi M, Dematte JAM (2017) Soil loss estimation using RUSLE model, GIS and remote sensing techniques: a case study from the Dembecha Watershed, Northwestern Ethiopia. Geoderma Reg 11:28–36

    Article  Google Scholar 

  • Pareta K, Pareta U (2011) Quantitative morphometric analysis of a watershed of Yamuna basin, India using ASTER (DEM) data and GIS. Int J Geomatics Geosci 2:248–269

    Article  Google Scholar 

  • Pham TG, Degener J, Kappas M (2018) Integrated Universal Soil Loss Equation (USLE) and geographical information system (GIS) for soil erosion estimation in a Sap basin: Central Vietnam. Int Soil Water Conserv Res 6:99–110

    Article  Google Scholar 

  • Prasannakumar V, Vijith H, Abinod S, Geetha N (2012) Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geosci Front 3(2):209–215

    Article  Google Scholar 

  • Rawat KS, Singh SK (2018) Appraisal of soil conservation capacity using NDVI model-based C factor of RUSLE model for a semi arid ungauged watershed: a case study. Water Conserv Sci Eng 3:47–58

    Article  Google Scholar 

  • Rekha VB, George AV, Rita M (2011) Morphometric analysis and micro-watershed prioritization of Peruvanthanam sub-watershed, the Manimala River basin, Kerala, South India. Environ Res Eng Manag 3:6–14

    Google Scholar 

  • Renard KG, Foster GA, Weesies GA, McCool DK (1997) Predicting soil erosion by water: a guide to conservation planning with RUSLE. In: USDA, Agriculture Handbook No. 703, Washington, DC

  • Sahu N, Reddy GPO, Kumar N, Nagaraju MSS, Srivastava R, Singh SK (2016) Morphometric analysis in basaltic terrain of central India using GIS techniques: a case study. Appl Water Sci 7:2493–2499

    Article  Google Scholar 

  • Salvi SS, Mukhopadhyay SD, Ranade AR (2017) Morphometric analysis of river drainage basin/watershed using GIS and RS: a review. Int J Res Appl Sci Eng Technol 5:503–508

    Google Scholar 

  • Sangle AS, Yannawar PL (2014) Morphometric analysis of watershed using GIS and RS: a review. Int J Eng Res Technol 3:599–602

    Google Scholar 

  • Schumm SA (1956) Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Geol Soc Am Bull 67:597–646

    Article  Google Scholar 

  • Schumm SA, Dumont JF, Holbrook JM (2000) Active tectonics and alluvial rivers. Cambridge University Press, UK. https://doi.org/10.1002/jqs.698

    Book  Google Scholar 

  • Singh G, Rambabu VV, Chandra S (1981) Soil loss prediction research in India. ICAR Bullet, T12/D9, CS WCTRI, Dehradun

  • Strahler AN (1952) Hypsometric analysis of erosional topography. Geol Soc Am Bull 63:1117–1142

    Article  Google Scholar 

  • Strahler AN (1964) Quantitative geomorphology of drainage basin and channel network. Handbook of Applied Hydrology. McGraw Hill Book Company, New York, pp 39–76

    Google Scholar 

  • Surendra KC, Mitthan LK (2017) Prioritization of sub-watersheds based on morphometric analysis using geospatial technique in Piperiya watershed, India. Appl Water Sci 7:329–338

    Google Scholar 

  • Swatantra KD, Devesh S, Nitika M (2015) Morphometric analysis of the Banas River basin using the geographical information system, Rajasthan, India. Hydrol 3:47–54

    Article  Google Scholar 

  • Thakkar AK, Dhiman SD (2007) Morphometric analysis and prioritization of miniwatersheds in Mohr Watershed, Gujarat using remote sensing and GIS techniques. J Indian Soc Remote Sens 35:313–321

    Article  Google Scholar 

  • Turkan BA, Bekir NA (2011) Drainage morphometry and its influence on landforms in volcanic terrain, Central Anatolia, Turkey. Procedia Soc Behav Sci 19:732–740

    Article  Google Scholar 

  • Van der Knijff JM, Jone RJA, Montanarella L (1999) Soil erosion risk assessment in Italy. European Soil Bureau, Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  • Williams JR (1995) The EPIC model. In: Computer models of watershed hydrology. Water Resour Publ 25:909–1000

    Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook 282. USDA-ARS, USA

    Google Scholar 

  • Yahya F (2017) Morphometric assessment of Wadi Wala watershed, Southern Jordan using ASTER (DEM) and GIS. J Geogr Inf Syst 9:158–190

    Google Scholar 

  • Yahya F, Ali A, Omar E, Nisrin AS (2015) Quantitative analysis of geomorphometric parameters of Wadi Kerak, Jordan, using remote sensing and GIS. J Water Resour Prot 7:456–475

    Article  Google Scholar 

  • Zainab F (2018) Morphometric analysis of Khulgad watershed Almora, Uttarakhand. Int J Mod Trends Eng Res 5:162–173

    Google Scholar 

  • Zerihun M, Mohammedyasin MS, Sewnet D, Adem AA, Lakew M (2018) Assessment of soil erosion using RUSLE, GIS and remote sensing in NW Ethiopia. Geoderma Reg 12:83–90

    Article  Google Scholar 

  • Zhou ZC, Shangguan ZP, Zhao D (2006) Modeling vegetation coverage and soil erosion in the Loess Plateau area of China. Ecol Model 198(1-2):263–268

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve this manuscript further. This study was assisted by fellowship from Inspire Programme, Department of Science and Technology (DST), Government of India. We are also thankful to G. B. Pant University of Agriculture and Technology, Pantnagar, India, for providing the necessary computer laboratory facility.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, methodology, TSB; software, validation, formal analysis, investigation, TSB; writing—review and editing, TSB and PK; visualization, PK; supervision, PK.

Corresponding author

Correspondence to Tarate Suryakant Bajirao.

Ethics declarations

Ethics approval

The manuscript is not submitted to any other journal for simultaneous consideration. The work is original and not published elsewhere.

Consent to participate

Not applicable

Consent to publication

Not applicable

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Bajirao, T.S., Kumar, P. Geospatial technology for prioritization of Koyna River basin of India based on soil erosion rates using different approaches. Environ Sci Pollut Res 28, 35242–35265 (2021). https://doi.org/10.1007/s11356-021-13155-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-13155-7

Keywords

  • Morphometric analysis
  • Watershed management
  • WSA
  • RUSLE
  • Prioritization
  • Soil erosion