Influence of land use changes on spatial erosion pattern, a time series analysis using RUSLE and GIS: the cases of Ambuliyar sub-basin, India

• Autorzy: Nasir N. , Selvakumar R.

Identyfikatory

DOI

10.1007/s11600-018-0186-2

• Języki publikacji: EN

Abstrakty

EN

Soil erosion and its impact on the land and surface water resources are posing both ecological and socioeconomic threats around the world. In South India, tank systems are quite ancient, supporting rural livelihood including their agricultural needs. But, in recent decades they have lost their significance. The aggravated catchment erosion and resultant siltation have significantly reduced their storage capacity and thereby their functionality. Ambuliyar sub-basin, encompassing 809 irrigation tanks, has once satisfied multifunctional needs of people but now becomes degraded due to siltation. Though desilting of tanks and feeder channels is practiced, the tanks often get silted owing to aggravate soil erosion. Hence, to sustain their life span, it is essential to minimize the erosion in the catchment. Thus, the present study intends to estimate the rate of erosion, analyze their spatial variation through a time series analysis, and ascertain the causative factor. Accordingly, the annual soil loss estimated using Revised Universal Soil Loss Equation method has shown an increase in the rate of erosion from 4084.40 (1996) to 4922.47 t ha−1 y−1 (2016). However, spatially, a non-uniform pattern is inferred, and hence based on the variations, the sub-basin is divided into five zones. In zones I, II, and V, there is an increase in erosion, and in zones III and IV, a decrease is witnessed. Variations studied in conjunction with RUSLE parameters reveal that the improper land use practice has modified the erosion rate and pattern. Further, it is presumed that the silted watercourses might have increased the overland flow, which in turn increased the erosion. Remedial measures such as afforestation, promotion of coconut plantation, and reduction in overland flow by desilting tanks are suggested; thereby, the surface and groundwater resources will be enhanced and in turn the agricultural productivity.

Słowa kluczowe

EN

soil erosion; irrigation tank; siltation; RUSLE; land use; remote sensing; GIS

PL

erozja gleby; zbiornik irygacyjny; zamulenie; RUSLE; zagospodarowanie terenu; teledetekcja; GIS

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2018
• Tom: Vol. 66, no. 5
• Strony: 1121--1130
• Opis fizyczny: Bibliogr. 35 poz.

Twórcy

autor

Nasir N.

• School of Civil Engineering SASTRA Deemed University Thanjavur India

autor

Selvakumar R.

• School of Civil Engineering SASTRA Deemed University Thanjavur India

Bibliografia

• 1. Alkharabsheh MM, Alexandridis TK, Bilas G, Misopolinos N, Silleos N (2013) Impact of land cover change on soil erosion hazard in northern Jordan using remote sensing and GIS. Procedia Environ Sci 19:912–921
• 2. Angima SD, Stott DE, O’neill MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agric Ecosyst Environ 97(1–3):295–308
• 3. Barmani S, Aggarwali SP, Dutta MK (2013) Soil erosion due to change in vegetated area in the Majuli Island of Assam. Int J Adv Remote Sens GIS Geogr 1(1):8–19
• 4. Berhanu K, Suryabhagavan KV (2014) Multitemporal remote sensing of landscape dynamics and pattern change in Dire district, southern Ethiopia. J Geomat 8(2):189–194
• 5. Browning GM, Norton RA, McCall AG, Bell FG (1948) Investigation in erosion control and the reclamation of eroded land. USDA Bui, Washington, DC
• 6. De Araujo JC, Güntner A, Bronstert A (2006) Loss of reservoir volume by sediment deposition and its impact on water availability in semiarid Brazil. Hydrol Sci J 51(1):157–170
• 7. De Vincenzo A, Molino B (2013) The rehabilitation of a reservoir: a new methodological approach for calculating the sustainable useful storage capacity. Agric Sci 4(08):46
• 8. De Vincenzo A, Molino AJ, Molino B, Scorpio V (2017) Reservoir rehabilitation: the new methodological approach of Economic Environmental Defence. Int J Sediment Res 32(2):288–294
• 9. Fu BJ, Zhao WW, Chen LD, Zhang QJ, Lü YH, Gulinck H, Poesen J (2005) Assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China. Land Degrade Dev 16(1):73–85
• 10. 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(6):953–961
• 11. Hargrove WL, Johnson D, Snethen D, Middendorf J (2010) From Dust Bowl to Mud Bowl: sedimentation, conservation measures, and the future of reservoirs. J Soil Water Conserv 65(1):14–17
• 12. Juracek KE (2015) The aging of America’s reservoirs: in-reservoir and downstream physical changes and habitat implications. J Am Water Resour Assoc 51(1):168–184
• 13. Kalambukattu JG, Kumar S (2017) Modelling soil erosion risk in a mountainous watershed of Mid-Himalaya by integrating RUSLE model with GIS. Eurasian J Soil Sci 6(2):92
• 14. Kim JB, Saunders P, Finn JT (2005) Rapid assessment of soil erosion in the Rio Lempa Basin, Central America, using the universal soil loss equation and geographic information systems. Environ Manag 36(6):872–885
• 15. Kirurhika AM, Arunachalam S, Reddy AK, Suresh SB (2011) Silt sediment analysis for Devarabelekere reservoir using remote sensing and GIS. Int J Earth Sci Eng 4:24–30
• 16. Kumar S, Kushwaha SPS (2013) Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed. J Earth Syst Sci 122(2):389–398
• 17. Lienou G, Mahe G, Olivry JC, Naah E, Servat E, Sigha-Nkamdjou L, Sighomnou D, Ngoupayou JN, Ekodeck GE, Paturel JE (2005) Régimes des flux des matières solides en suspension au Cameroun: revue et synthèse à l’échelle des principaux écosystèmes; diversité climatique et actions anthropiques/Regimes of suspended sediment flux in Cameroon: review and synthesis for the main ecosystems; climatic diversity and anthropogenic activities. Hydrol Sci J 50(1):111–123
• 18. Morlando F, Cimorelli L, Cozzolino L, Mancini G, Pianese D, Garofalo F (2016) Shot noise modeling of daily streamflows: a hybrid spectral- and time-domain calibration approach. Water Resour Res 52(6):4730–4744
• 19. Nigussie Z, Tsunekawa A, Haregeweyn N, Adgo E, Nohmi M, Tsubo M, Aklog D, Meshesha DT, Abele S (2017) Farmers’ perception about soil erosion in Ethiopia. Land Degrad Dev 28(2):401–411
• 20. Palanisami K, Balasubramanian R, Mohamed A (1997) Presents status and future strategies of tank irrigation in Tamil Nadu. Water Technology Center, Tamilnadu Agricultural University, Coimbatore
• 21. Pimentel D, Harvey C, Resosudarmo P, Sinclair K, Kurz D, McNair M, Crist S, Shpritz L, Fitton L, Saffouri R, Blair R (1995) Environmental and economic costs of soil erosion and conservation benefits. Science 267(5201):1117–1123
• 22. Renard KG (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). United States Department of Agriculture, Washington, DC
• 23. Renschler CS, Harbor J (2002) Soil erosion assessment tools from point to regional scales—the role of geomorphologists in land management research and implementation. Geomorphology 47(2–4):189–209
• 24. Sakthivadivel R, Gomathinayagam P, Shah T (2004) Rejuvenating irrigation tanks through local institutions. Econ Polit Wkly 39(31):3521–3526
• 25. Sharma A, Tiwari KN, Bhadoria PBS (2011) Effect of land use land cover change on soil erosion potential in an agricultural watershed. Environ Monit Assess 173(1–4):789–801
• 26. Shi ZH, Cai CF, Ding SW, Wang TW, Chow TL (2004) Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. CATENA 55(1):33–48
• 27. Shinde V, Tiwari KN, Singh M (2010) Prioritization of micro watersheds on the basis of soil erosion hazard using remote sensing and geographic information system. Int J Water Resour Environ Eng 5(2):130–136
• 28. Smith DD (1941) Interpretation of soil conservation data for field use. Agric Eng 22:173–175
• 29. Tadesse L, Suryabhagavan KV, Sridhar G, Legesse G (2017) Land use and land cover changes and Soil erosion in Yezat Watershed, North Western Ethiopia. Int Soil Water Conserv Res 5(2):85–94
• 30. Verstraeten G, Poesen J (2001) The importance of sediment characteristics and trap efficiency in assessing sediment yield using retention ponds. Phys Chem Earth B Hydrol Oceans Atmos 26(1):83–87
• 31. Walling DE, Fang D (2003) Recent trends in the suspended sediment loads of the world’s rivers. Glob Planet Change 39(1–2):111–126
• 32. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses—a guide to conservation planning. USDA, Agriculture Handbook 537. U.S. Government Printing Office, Washington, DC
• 33. Wischmeier WH, Johnson CB, Cross BV (1971) Soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193
• 34. Wisser D, Frolking S, Hagen S, Bierkens MF (2013) Beyond peak reservoir storage? A global estimate of declining water storage capacity in large reservoirs. Water Resour Res 49(9):5732–5739
• 35. Zingg AW (1940) Degree and length of land slope as it affects soil loss in run-off. Agric Eng 21:59–64