**6. Acknowledgements**

The author would like to thank the program PSDR GO CLIMASTER and his director Philippe Mérot to have supported this work.

### **7. References**


After we proved SCALES was operational in Calvados, we contemplated editing the model in order to achieve an assessment of the erosion hazard within intra-annual time scales. SCALES progressive nature allows us to consider this model as spatially and temporally dynamic. However, the required investment for produce the data in order to decline the model at the monthly and seasonal scales does not allow us to establish a mapping of the soil erosion hazard on a regional level. Consequently, this fine temporal approach must be

If SCALES can be used in a predictive approach, its structuring and its modularity also give opportunities within a prospective framework. It is what we did, in Basse-Normandie, concerning the topic of the impact of the climate change on the evolution of the cultivated soils susceptibility to erosion by water. In average year at horizon 2100, the results of this new application show that the levels of soil erosion hazard would be comparable with those currently obtained within the one year framework rainy of which the probability of return is once every 4 years. One would thus witness a reinforcement of the soil erosion hazard in

We now wish to look further into the prospective application of SCALES starting from the studies which present, in comparable areas, the scenarios of agricultural practices evolution in a near future and a future distance. Our first results and the aim which we propose are altogether in the spirit of the recommendations of the GIEC (2007b) and the European Environment Agency which reminds us the necessity to develop tools to assess the impact

The author would like to thank the program PSDR GO CLIMASTER and his director

Auzet, V. (1987). *L'érosion des sols par l'eau dans les régions de grande culture : aspects* 

Baumhardt, RL. & Jones, OR. (2002). Residue management and paratillage effects on some soil properties and rain infiltration, *Soil and Tillage Research,* 65: pp. 19-27 Bermond, M. (2004). *Agriculture, familles, exploitations en Normandie au début du XXIème siècle :* 

Boardman, J. (1990). *Soil erosion on the South Downs: a review*, In: J. Boardman, I.D.L. Foster

Boardman, J. & Favis-Mortlock, D.T. (1993). Climate change and soil erosion in Britain,

Cantat, O.; Le Gouée, P.; Bensaïd, A. (2009) : *Le rôle de la topographie et des sols dans la* 

l'Environnement / ministère de l'Agriculture: Paris

Université de Caen Basse-Normandie, 462p

Climatologie, CNFG, 2009, pp. 81-100

*agronomiques*, Centre d'études et recherches éco-géographiques, ministère de

*produire et se reproduire dans la crise : éléments de géographie*, Thèse de Doctorat,

and J.A. Dearing (Editors), Soil Erosion on Agricultural Land. Wiley, Chichester,

*modélisation spatiale d'échelle fine des bilans hydriques*, Actes des Journées de

held for sectors with strong environmental stake.

average year.

of climate change on soils.

**6. Acknowledgements** 

pp. 87-105

*Geogr. J*., 159(2): 179-183

**7. References** 

Philippe Mérot to have supported this work.


**13** 

*1,3Republic of Korea* 

*2USA* 

**SATEEC GIS System for Spatiotemporal** 

*3Korea Institute of Construction Technology, Goyang, Gyeonggi,* 

**Analysis of Soil Erosion and Sediment Yield** 

Kyoung Jae Lim1, Youn Shik Park2, Bernard A. Engel2 and Nam Won Kim3 *1Dept. of Regional Infrastructure Engineering, Kangwon National University, Kangwon, 2Dept. of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, 2Dept. of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN,* 

In recent years, severe rainfall events have been causing various negative impacts on environment and ecosystem at the receiving water bodies. Especially soil erosion and resulting muddy water problems driven by rainfall-runoff have been hot issues in many countries due to accompanying water quality impacts. Thus various efforts have been made to evaluate soil erosion and sediment yield spatially and temporarily to develop effective soil erosion best management practices. Among those, modeling approaches have been often utilized and many soil erosion models have been developed and evaluated worldwide. In the past couple of decades, these soil erosion models have been integrated with Geographic Information System (GIS) for spatiotemporal analysis of generation and transport of soil erosion/sediments. The Universal Soil Loss Equation (USLE), Water Erosion Prediction Project (WEPP), Soil and Water Assessment Tool (SWAT), European Soil Erosion Model (EUROSEM), Agricultural Non-Point Source Pollution (AGNPS) are widely used for various soil erosion studies. The input requirements for these models vary to some extents. The USLE model has been widely used because its input data are available in most countries and the model is relatively easy to implement. This USLE model has been integrated with GIS for spatiotemporal analysis of soil erosion by many researchers worldwide. The Sediment Assessment Tool for Effective Erosion Control (SATEEC) is one of them with several enhanced modules for sediment yield estimation at a watershed scale with higher accuracies in sediment evaluation. In this chapter, the development history of the SATEEC system and several SATEEC applications for soil erosion and sediment yield

The SATEEC system was developed in 2003 (Lim et al., 2003) and has been upgraded with various enhanced modules incorporated into the system (Lim et al., 2005; Park et al., 2010). It has been applied to various watersheds with diverse purposes (Yoo et al., 2007; Park et al.,

**1. Introduction** 

estimation will be introduced.

**2. Development of SATEEC GIS system** 

