AIMS Geosciences, 2017, 3(3): 375-395. doi: 10.3934/geosci.2017.3.375

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Soil and Water Conservation Prioritization Using Geospatial Technology – a Case Study of Part of Subarnarekha Basin, Jharkhand, India

Vindhyan Ecology and Natural History Foundation, Mirzapur, Uttar Pradesh, India

Changing patterns of land use and land cover have exploited the natural resources. Soil, water and forests are degraded, both quantitatively and qualitatively. Deforestation in recent years has led to changes in the environment and more of soil erosion and loss of potable water. In order to conserve and sustainably use soil and water, a watershed management approach is necessary. It helps in restoring water by increasing the infiltration and reducing the erosion of soil. Such measures should be propagated in rainfall deficit areas. The present study has attempted to study the upper watershed part of Subarnarekha basin in Jharkhand state of India. Remote sensing satellite data (Landsat 8 OLI/TIRS 2013) was used for delineation of the land use/land cover and vegetation index maps. Several thematic layers like slope, drainage and rainfall were integrated to achieve a priority area map using spatial multicriteria decision making. It delineated high medium and low priority areas within the watershed for soil and water conservation. The high priority area was 16.63% of the total study area. Further, the causes were analysed and conservation measures proposed.
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1. Kinthada NR, Gurram MK, Eadara A, et al. (2014) Land Use/land cover and NDVI Analysis for monitoring the health of micro-watersheds of Sarada River Basin, Visakhapatnam District, India. J Geol Geosci 3: 2.

2. Walling DE (2006) Human impact on land-ocean sediment transfer by the world's rivers. Geomorphol 79: 192-216.    

3. Wang HJ, Saito Y, Zhang Y, et al. (2011) Recent changes of sediment flux to the western Pacific Ocean from major rivers in East and Southeast Asia. Earth-Sci Rev 108: 80-100.    

4. Phillips-Howard KD, Lyon F (1994) Agricultural intensification and the threat to soil fertility in Africa: evidence from the Jos Plateau, Nigeria. Geogr J 160: 252-265.    

5. Fairhead J, Leach M (1996) Misreading the African landscape: society and ecology in a forest-savanna mosaic. African Studies Series, 90. Cambridge University Press.

6. Reij C, Scoones I, Toulmin C, et al. (1996) Sustaining the soil: indigenous soil and water conservation in Africa. Earthscan Publications, London.

7. Mortimore M, Harris FMA, Turner B (1999) Implications of land use change for the production of plant biomass in densely populated Sahelo-Sudanian shrub-grasslands in north-east Nigeria. GlobEcol Biogeogr 8: 243-256.

8. Tullos DD, Neumann M (2006) A qualitative model for analyszing the effects of anthropogenic activities in the watershed on benthic macro invertebrate communities.

9. Sabahattin I, Emrah D, Latif K, et al. (2008) Effects of anthropogenic activities on the lower Sakarya River. Catena 75: 172-181.    

10. Panhalkar SS, Mali SP, Pawar CT (2012) Morphometric Analysis and Watershed Development Prioritization of Hiranykeshi Basin in Maharashtra, India. Int J Environ Sci 3: 525-534.

11. Biard F, Baret F (1997) Crop Residue Estimation Using Multiband Reflectance. Remote Sens Environ 59: 530-536.    

12. Gajbhiye S, Mishra S, Pandey A (2013) Prioritizing erosion prone area through morphometric analysis: an Remote sensing and GIS perspective. Appl Water Sci 4: 51-61.

13. Rao M, Hines K, Obreza T, et al. (2015) Watersheds of Florida: Understanding a watershed approach to water management. Soil Water Sci.

14. Gupta P, Uniyal S (2013) Watershed Prioritization of Himalayan Terrain Using SYI model. Int J Adv Remote Sens, GIS and Geogr 1: 42-48

15. Tideman EM (1996) Watershed Management: Guidelines for Indian Conditions. J Chromatogr A 1154: 342.

16. Ndulue EL, Mbajiorgu CC, Ugwu SN, et al. (2015). Assessment of land use/cover impacts on runoff and sediment yield using hydrologic models: A review. J Ecol Nat Environ 7: 46-55.    

17. Khan S, Bhuvaneshwari B, Qureshi M (1999) Land use/Land covers mapping and change detection using remote sensing and GIS: a case study of Jamuna and its Environs. Socio-Econ Dev Rec 6: 32-33.

18. Sreenivasulu V, UdayaBhaskar P (2010) Change Detection in Land use and Land cover Using Remote Sensing and GIS Techniques. Int J Eng Sci Technol 2: 7758-7762.

19. Jang T, Vellidis G, Kurkalova LA, et al. (2015) Prioritizing watersheds for conservation actions in the southeastern coastal plain ecoregion. Environ manag 55: 657-70.    

20. Khan MA, Gupta VP, Moharana PC (2001) Watershed prioritization using remote sensing and GIS: a case study from Guhiya, India. J arid environ 49: 465-475.    

21. Javed A, Khanday MY, Ahmad 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.    

22. Martin D, Saha SK (2007) Ason river watershed in Dehradun district of Uttarakhand. J Indian Soc Remote Sens 35:1.    

23. Verma S, Udayabhaskar P (2010) An integrated approach for prioritization of reservoir catchment using RS and GIS techniques. Geocarto Int 25: 149-168.    

24. Panhalkar S, Pawar CT (2011) Watershed development prioritization by applying WERM model and Gis techniques in Vedganaga Basin (India). J Agric Biol Sci 6: 38-44.

25. Panwar A, Singh D (2014) Watershed development prioritization by applying WERM model and GIS techniques in Takoli watershed of district Tehri (Uttarakhand). Int J Eng res Technol 3.

26. Pawar-Patil VS, Mali SP (2013) Watershed characterization and prioritization of Tulasi subwatershed: a geospatial approach. Int J Innov Res Sci Eng Technol 2.

27. Dutta D, Das S, Kundu A, et al. (2015) Soil erosion risk assessment in Sanjal watershed, Jharkhand (India) using geo-informatics, RUSLE model and TRMM data. Model. Earth Syst Environ 1: 37

28. Prakash A, Banerjee K, Puran B (2015) Sustainable watershed development of the Bandu village (India) watershed using advance geospatial techniques: A case study documenting the importance of Remote Sensing and GIS in developing nations. Int J Geomat Geosci 6:1.

29. Das GK, Guchait R (2016) Modeling of Risk of Soil Erosion in Kharkai Watershed using RUSLE and TRMM Data: A Geospatial Approach. Int J Sci Res 5: 1-10

30. Lillesand TM, Kiefer RW (2000) Remote Sensing and Image Interpretation, 4th edition. New York, John Wiley and Sons, Inc.

31. Campbell JB (1981) Spatial correlation effects upon accuracy of supervised classification of land cover. Photogramm Eng Remote Sens 47: 355-363.

32. Ahmad F, Goparaju L (2016) Urban Forestry: Identification of Suitable sites in Ranchi city, India using Geospatial Technology. Ecol Quest 24: 45-57.

33. Ahmad F, Goparaju L, Qayum A (2017a) Studying malaria epidemic for vulnerability zones: Multi-criteria approach of geospatial tools. J Geosci Environ Prot 5: 30-53.

34. Ahmad F, Goparaju L, Qayum A (2017b) Agroforestry suitability analysis based upon nutrient availability mapping: a GIS based suitability mapping. AIMS Agric Food 2: 201-220.

35. Ahmad F, Goparaju L, Qayum A (2017c) Geospatial approach for Agroforestry Suitability mapping: To Enhance Livelihood and Reduce Poverty, FAO based documented procedure (Case study of Dumka district, Jharkhand, India). Biosci Biotechnol Res Asia 14: 651-665.

36. Saaty TL (1980) The Analytic Hierarchy Process; McGraw-Hill International: New York, NY.

37. Wainwright J, Parsons AJ, Schlesinger WH (2002) Hydrology–vegetation interactions in areas of discontinuous flow on a semi-arid bajada, Southern New Mexico. J Arid Environ 51: 319-338.    

38. Anderson SH, Udawatta RP, Seobi T, et al. (2009) Soil water content and infiltration in agroforestry buffer strips. Agrofor Syst 75: 5-16.    

39. Hernandez G, Trabue S, Sauer T, et al. (2016) Odor mitigation with tree buffers: Swine production case study. Agric Ecosyst Environ 149: 154-163.

40. Asbjornsen H, Hernandez-Santana V, Liebman M, et al. (2014) Targeting perennial vegetation in agricultural landscapes for enhancing ecosy,C.stem services. RenewAgricul Food Syst 29: 101-125.

41. Rey F (2003) Influence of vegetation distribution on sediment yield in forested marly gullies. Catena 50: 549-562.    

42. Puigdefabregas J (2005) The role of vegetation patterns in structuring runoff and sediment fluxes in drylands, Earth Surf Process Landf 30: 133-147.

43. Duran ZVH, Francia MJR, Rodriguez PCR, et al. (2006) Soil erosion and runoff prevention by plant covers in a mountainous area (SE Spain): implications for sustainable agriculture. Environ 26: 309-319.

44. Ziegler AD, Giambelluca TW (1998) Influence of revegetation efforts on hydrologic response and erosion, Kaho'Olawe Island, Hawaii. Land Degrad Dev 9: 189-206.    

45. Odgaard AJ (1987) Stream bank erosion along two rivers in Iowa Water Resour. Res 23: 1225-1236.

46. Simon A, Darby SE (2002) Effectiveness of grade-control structures in reducing erosion along incised river channels: the case of Hotophia Creek, Mississippi. Geomorphol 42: 229-254.    

47. Walling DE (1983) The sediment delivery problem, J hydrol 65: 209-237.

48. Lenhart T, Rompaey AV, Steegen A, et al. (2005) Considering spatial distribution and deposition of sediment in lumped and semidistributed models. Hydrol Process 19: 785-794.    

49. Chaplot VAM, Le-Bissonnais Y (2003) Runoff features for interrill erosion at different rainfall intensities, slope lengths, and gradients in an agricultural loessial hillslope. Soil Sci Soc Am J 67: 844-851.    

50. Assouline S, Ben-Hur A (2006) Effects of rainfall intensity and slope gradient on the dynamics of interrill erosion during soil surface sealing. Catena 66: 211-220.    

51. Desir G, Marín C (2007) Factors controlling the erosion rates in a semi-arid zone (Bardenas Reales, NE Spain). Catena 71: 31-40.    

52. Thomaz EL (2009) The influence of traditional steep land agricultural practices on runoff and soil loss. Agric Ecosyst Environ 130: 23-30.    

53. Carvalho DF, Montebeller CA, Franco EM, et al. (2005) Padroes de precipitacao e indices de erosividade para as chuvas de Seropedica e Nova Friburgo, RJ. Revis Bras de Eng Agric e Ambient 9: 7-14.    

54. Anderson MC, Norman JM, Kustas WP, et al. (2008) A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales. Remote Sens Environ 112: 4227-4241    

55. Karnieli A, Agam N, Pinker RT, et al. (2010) Use of NDVI and land surface temperature for drought assessment: Merits and limitations. J Clim 23: 618-633    

56. Kayet N, Pathak K, Chakrabarty A, et al. (2016) Spatial impact of land use/land cover change on surface temperature distribution in Saranda Forest, Jharkhand. Model Earth Syst Environ 2: 127.    

57. Kumar P, Joshi V (2016) Characterization of hydro geological behavior of the upper watershed of River Subarnarekha through Morphometric analysis using Remote Sensing and GIS approach. Int J Environ Sci 6: 429-447.

58. Bhaduri A (2016) The river of gold, Subarnarekha is dying. Who's responsible? Indian water portal. Available from:

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