Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece

Soil erosion is a growing problem in southern Greece and particularly in the island of Crete, the biggest Greek island with great agricultural activity. Soil erosion not only decreases agricultural productivity, but also reduces the water availability. In the current study, an effort to predict potential annual soil loss has been conducted. For the prediction, the Revised Universal Soil Loss Equation (RUSLE) has been adopted in a Geographical Information System framework. The RUSLE factors were calculated (in the form of raster layers) for the nine major watersheds which cover the northern part of the Chania Prefecture. The R-factor was calculated from monthly and annual precipitation data. The K-factor was estimated using soil maps available from the Soil Geographical Data Base of Europe at a scale of 1:1,000,000. The LS-factor was calculated from a 30-m digital elevation model. The C-factor was calculated using Remote Sensing techniques. The P-factor in absence of data was set to 1. The results show that an extended part of the area is undergoing severe erosion. The mean annual soil loss is predicted up to ∼200 (t/ha year−1) for some watersheds showing extended erosion and demanding the attention of local administrators.

[1]  Claudio O. Stöckle,et al.  Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD , 2003 .

[2]  Giuseppe Giordano,et al.  Isoerosivity and erosion risk map for Sicily , 1991 .

[3]  H. Arnoldus An approximation of the rainfall factor in the Universal Soil Loss Equation. , 1980 .

[4]  Andrew A. Millward,et al.  Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed , 1999 .

[5]  Kenneth G. Renard,et al.  Using monthly precipitation data to estimate the R-factor in the revised USLE , 1994 .

[6]  Qiang Wu,et al.  A framework for risk assessment on soil erosion by water using an integrated and systematic approach , 2007 .

[7]  K. P. Tsagarakisa,et al.  Water resources management in Crete ( Greece ) including water recycling and reuse and proposed quality criteria , 2004 .

[8]  R. Lal Soil Erosion by Wind and Water: Problems and Prospects , 1988 .

[9]  W. H. Wischmeier,et al.  A Rainfall Erosion Index for a Universal Soil-Loss Equation , 1959 .

[10]  Filippos Vallianatos,et al.  GIS-BASED MORPHOMETRIC ANALYSIS OF TWO MAJOR WATERSHEDS, WESTERN CRETE, GREECE , 2007 .

[11]  S. Schwager,et al.  Predicting Rainfall Erosivity in Honduras , 1997 .

[12]  V. Ferro,et al.  Rainfall erosivity over the Calabrian region , 1997 .

[13]  S. El‐Swaify,et al.  Effectiveness of EI30 as an erosivity index in Hawaii , 1985 .

[14]  M. H. Hussein Rainfall erosivity in Iraq , 1986 .

[15]  Bofu Yu,et al.  A Robust Estimate of the R-Factor for the Universal Soil Loss Equation , 1996 .

[16]  K. Renard,et al.  USING GIS FOR FACILITATING EROSION ESTIMATION , 1999 .

[17]  Jaroslav Hofierka,et al.  Modelling Topographic Potential for Erosion and Deposition Using GIS , 1996, Int. J. Geogr. Inf. Sci..

[18]  P. Julien,et al.  Estimation of upland erosion using GIS , 1998 .

[19]  Luca Montanarella,et al.  Soil erosion risk assessment in Europe , 2000 .

[20]  Donald Gabriëls,et al.  Assessment of Erosion. , 1980 .

[21]  Honglei Zhu,et al.  RUSLE applied in a GIS framework: Calculating the LS factor and deriving homogeneous patches for estimating soil loss , 2005, Int. J. Geogr. Inf. Sci..

[22]  Bofu Yu,et al.  A comparative study of rainfall erosivity estimation for southern Italy and southeastern Australia , 1999 .

[23]  Rattan Lal,et al.  Soil Erosion in the Tropics: Principles and Management , 1990 .

[24]  K. Banasik,et al.  Rainfall erosivity for south-east Poland. , 1994 .

[25]  W. H. Wischmeier,et al.  Predicting rainfall-erosion losses from cropland east of the Rocky Mountains , 1965 .

[26]  Daniel C. Yoder,et al.  The future of RUSLE: Inside the new Revised Universal Soil Loss Equation , 1995 .

[27]  Sergio Grauso,et al.  Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy) , 2006 .

[28]  Andreas N. Angelakis,et al.  Water resources management in Crete (Greece) including water recycling and reuse and proposed quality criteria , 2004 .

[29]  Bofu Yu,et al.  An Assessment of a Daily Rainfall Erosivity Model for NSW , 1996 .

[30]  L. R. Oldeman,et al.  World map of the status of human-induced soil degradation: an explanatory note. , 1990 .

[31]  Bofu Yu,et al.  Rainfall erosivity estimation using daily rainfall amounts for South Australia , 1996 .

[32]  Kyoung Jae Lim,et al.  GIS-based sediment assessment tool , 2005 .

[33]  Billy J. Barfield,et al.  Design Hydrology and Sedimentology for Small Catchments , 1994 .

[34]  Donald Gabriëls,et al.  Extending the RUSLE with the Monte Carlo error propagation technique to predict long term average off-site sediment accumulation. , 2000 .

[35]  M. Trlica,et al.  Evaluation of a refined surface cover subfactor for use in RUSLE. , 1994 .

[36]  L. Brown,et al.  State of the World , 1986 .

[37]  C. K. Mutchler,et al.  Revised slope steepness factor for the universal soil loss equation , 1987 .

[38]  Luca Montanarella,et al.  Soil erosion risk assessment in Italy , 1999 .

[39]  W. H. Wischmeier,et al.  Predicting rainfall erosion losses : a guide to conservation planning , 1978 .

[40]  G. Erpul,et al.  Use of USLE/GIS Methodology for Predicting Soil Loss in a Semiarid Agricultural Watershed , 2007, Environmental monitoring and assessment.

[41]  Donald K. McCool,et al.  Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS , 2006 .

[42]  E. Z. Nyakatawaa,et al.  Predicting soil erosion in conservation tillage cotton production systems using the revised universal soil loss equation ( RUSLE ) , 2001 .

[43]  Andreas N. Angelakis,et al.  Water resources management in the Island of Crete, Greece, with emphasis on the agricultural use , 2001 .

[44]  O. Förster,et al.  Neue Daten zur Biostratigraphie und zur tektonischen Lagerung der Phyllit-Gruppe und der Trypali-Gruppe auf der Insel Kreta (Griechenland) , 1983 .

[45]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[46]  R. Hickey,et al.  Estimating the LS Factor for RUSLE through Iterative Slope Length Processing of Digital Elevation Data within Arclnfo Grid , 2001 .

[47]  M. Stocking,et al.  Prediction of subtropical storm soil losses from field plot studies , 1973 .

[48]  C. Madramootoo,et al.  Application of geographic information systems in watershed management planning in St. Lucia , 1998 .