Estimation of Soil Losses in a Slope Area of Tokat Province through USLE and WEPP Model
Tokat is one of the developing provinces in terms of urbanism. Therefore, the land use changes city-wide which closely affects soil erosion. Numerical estimation of soil erosion is very important to prevent soil losses. In this study, USLE and WEPP Hillslope model were used to estimate the long-term soil losses in a slope area which used to be a pasture land and then turned into a fruit orchard in Büyükbeybağı area of Tokat province. Erosion sensitivity of the soil in the slope area was detected to be very low. Erosivity value of the area is low, soil is resistant to erosion due to pasture land use type and fruit orchard use type does not require intense soil cultivation practices. For all these reasons, both estimation technologies estimated soil losses of the land to be low.
Tokat İlin’de Bir Yamaç Arazide Toprak Kayıplarının USLE ve WEPP Model ile Tahmin Edilmesi
Tokat, şehircilik bakımından gelişmekte olan illerden birisidir. Bundan dolayı il genelinde arazi kullanımı değişmekte ve bu durum toprak erozyonunu çok yakından etkilemektedir. Toprak erozyon miktarının sayısal olarak tahmin edilmesi, toprak kayıplarının engellenmesinde çok önemlidir. Bu çalışmada, Tokat ili Büyükbeybağı mevkiinde yer alan önceden mera arazi kullanım türünde olup, daha sonra meyve bahçesine dönüştürülmüş bir yamaç arazide meydana gelen, uzun yıllık toprak kayıpları USLE ve WEPP Hillslope modeli ile tahmin edilmiştir. Yamaç arazisinde yer alan toprakların aşınıma duyarlılığı oldukça düşük olarak belirlenmiştir. Yörenin erosivite değerinin düşük, mera kullanım türünden dolayı toprakların erozyona dayanıklı olması ve meyve bahçesi kullanım türünün yoğun toprak işleme uygulamalarını gerektirmemesine bağlı olarak, her iki tahmin teknolojisi de arazinin toprak kayıplarını düşük olarak tahmin etmiştir.
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- Anonim. 2015. Tokat Meteoroloji İstasyonu.
- Amore E, Modica C, Nearing, MA, Santoro VC. 2004. Scale
Effect İn USLE And WEPP Application for Soil Erosion
Computation from Three Sicilian Basins. J. Hydrol. (293):
100–114.
- Bajracharya RM, Lal R. 1998. Crusting Effects on Erosion
Processes Under Simulated Rainfall on A Tropical Alfisol.
Hydrol. Process. (12): 1927–1938.
- Cecilio RA, Rodriguez RG, Baena LGN, Oliveira FG, Pruski
FF, Stephan AM, Silva JMA. 2004. Analysis of The RUSLE
and WEPP Models for A Small Watershed Located İn
Vicosa, Minas Gerais State, Brazil, in: ISCO-Internatıonal
Soıl Conservatıon Organızatıon Conference.
- Christie AM, Aust WM, Zedaker SM, Strahm BD. 2013.
Potential Erosion from Bladed Firelines in The Appalachian
Region Estimated with USLE-Forest and WEPP Models.
South. J. Appl. For. (37): 140–147.
- Chung PK, Koh MH, Im JN, Eum KT, Choi DW. 1983. Rainfall
Erosion Factor for Estimating Soil Loss. J. Korean Soc. Soil
Sci. Fertil. (Korea Republic).
- Cornelis WM. 2006. Hydroclimatology of wind erosion in arid
and semiarid environments. Chapter 9. Dryland
Ecohydrology, D ́Odorico and A. Porporato (eds.), 141-159.
Springer. Printed in the Netherlands. Print ISBN: 978-1-
4020-4259-1.
- Dehvari A. 2014. Estimation of Surface Runoff and Sediment
Yield Using WEPP Model in Southern Ontario, Canada. Int.
J. Agric. Crop Sci. (7): 876.
- FAO. 1963. Tree Planting Practices for Arid Zones, Food and
Agriculture Organization of The United Nations, Rome.
Available from: www.fao.org/docrep/012/al040e/al040e00.
pdf (Accessed 5 April 2018).
- Flanagan DC, Nearing MA. 1995. USDA-Water Erosion
Prediction Project: Hillslope Profile and Watershed Model
Documentation. NSERL Report.
- Hacisalihoglu S. 2018. Semi-Arid Plantation by Anatolian
Black Pine and Its Effects on Soil Erosion and Soil
Properties. Turkish Journal of Agriculture - Food Science
and Technology. 6(4): 500-507.
- Karaş E, Oğuz İ. 2005. Sakarya Porsuk Sarısu Havzasında
CORINE, LEAM ve USLE Metodolojilerinin Kullanılarak
Erozyon Risk Haritalarının Hazırlanması.
- Karaş E, Oğuz İ. 2017. Evaluation of Soil Erosion and
Sustainable Land Use Management in the Sarısu Basin.
Turkish Journal of Agriculture - Food Science and
Technology. 5(8): 864-872.
- Kezik U. Kocaçınar F. 2014. Kurak ve Yarı-Kurak Bölgelerde
Yayılış Gösteren Quercus branthii L. Baltalıklarında
Seyreltmenin Su Potansiyeli ve Sürgün Durumu Üzerine
Etkisi. II. Ulusal Akdeniz Orman ve Çevre Sempozyumu.
Akdeniz ormanlarının geleceği: Sürdürülebilir toplum ve
çevre Isparta-Turkey, 22-24 September, Suleyman Demirel
University, pp:117-127.
- Laflen JM, Flanagan DC, Engel BA, 2004. Soil Erosion and
Sediment Yield Prediction Accuracy Using WEPP. JAWRA
J. Am. Water Resour. Assoc. (40): 289–297.
- Laflen JM, Lane LJ, Foster GR, 1991. WEPP: A New
Generation of Erosion Prediction Technology. J. Soil Water
Conserv. (46): 34–38.
- Lal R. 1994. Soil Erosion Research Method. Second Edition,
Soil and Water Conservation Society:Ankeny, IA, USA, 352
p.
- Landi1 A, Barzegar AR, Sayadi1 J, Khademalrasoul A. 2011.
Assessment of Soil Loss Using WEPP Model and
Geographical Information System. Journal of Spatial
Hydrology. Vol.11, No.1
- Park JH, Pyeon JG, Kim GI. 2000. A Study of Distribution of
Rainfall Erosivity in USLE/RUSLE for Estimation of Soil
Loss. J. Korea Water Resour. Assoc. (33): 603–610.
- Parsons AJ, Wainwright J, Mark Powell D, Kaduk J, Brazier
RE. 2004. A Conceptual Model for Determining Soil
Erosion by Water. Earth Surf. Process. Landforms
(29):1293–1302.
- Pieri L, Bittelli M, Wu JQ, Dun S, Flanagan DC, Pisa PR,
Ventura F, Salvatorelli F. 2007. Using the Water Erosion
Prediction Project (WEPP) Model to Simulate Field-
Observed Runoff and Erosion in the Apennines Mountain
Range, Italy. J. Hydrol. (336): 84–97.
- Rasiah V, Florentine SK, Williams BL, Westbrooke ME, 2004.
The İmpact of Deforestation and Pasture Abandonment on
Soil Properties in The Wet Tropics of Australia. Geoderma
(120): 35–45.
- Rebeca VM, Eusebio VR, Klavdia O, Luis HS, Miguel ADC.
2011. Soil Erosion Processes in Semiarid Areas: The
Importance of Native Vegetation, Soil Erosion, Danilo
Godone and Silvia Stanchi, IntechOpen, DOI:
10.5772/23211. Available from: https://www.intechopen.com/
books/soil-erosion-studies/soil-erosion-processes-in-semiarid-
areas-the-importance-of-native-vegetation
- Renard KG, Freimund JR. 1994. Using Monthly Precipitation
Data to Estimate The R-Factor in the Revised USLE. J.
Hydrol. (157): 287–306.
- Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC.
1997. Predicting Soil Erosion by Water: A Guide to
Conservation Planning with the Revised Universal Soil Loss
Equation (RUSLE). U.S Department of Agriculture,
Agricultural Handbook No. 703, Government Printing
Office, Washington. DC, USA, 384 p.
- Sparovek G, Bacchi OOS, Schnug E, Ranieri SBL, De Maria IE.
2000. Comparison of Three Water Erosion Prediction
Methods (137Cs, WEPP, USLE) in South-East Brazilian
Sugarcane Production. J. Agric. Trop. Subtrop (101): 107–
118.
- Tiwari AK, Risse LM, Nearing MA. 2000. Evaluation of WEPP
and İts Comparison with USLE and RUSLE. Trans. ASAE
(43): 1129.
- Toy TJ, Foster GR, Renard KG. 2002. Soil Erosion: Processes,
Prediction, Measurement, and Control. John Wiley & Sons.
- Ürgenç S. 1998. Ağaçlandırma Tekniği, Yenilenmiş ve
Genişletilmiş İkinci Baskı İ.Ü.Orman Fak.Yayınları, İ.Ü.
Rektörlüğü Yayın No:3994, Orman Fakültesi, İstanbul
Yayın no: 441, ISBN. 975-404- 446-5.
- Walling DE, He Q, Whelan PA, 2003. Using 137Cs
Measurements to Validate The Application of The AGNPS
and ANSWERS Erosion and Sediment Yield Models in Two
Small Devon Catchments. Soil Tillage Res. (69): 27–43.
- Wischmeier WH, Smith DD. 1978. Predicting Rainfall Erosion
Losses-A Guide to Conservation Planning. Predict. Rainfall
Eros. Losses-a Guid. to Conserv. planning.
- Yuksel A, Akay AE, Reis M, Gundogan R. 2007. Using the
WEPP model to predict sediment yield in a sample
watershed in Kahramanmaras region. International Congress
River Basin Management, 2, 11-22.
- Zhang XCJ. 2017. Evaluating Water Erosion Prediction Project
Model
Using
Cesium-137-Derived
Spatial
Soil
Redistribution Data. Soil Sci. Soc. Am. J. (81): 179–188.