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Universität Stuttgart (2011)

Integrated fuzzy-GIS approach for assessing regional soil erosion risks

Bakimchandra, Oinam

Titre : Integrated fuzzy-GIS approach for assessing regional soil erosion risks

Integrierter Fuzzy-GIS-Ansatz zur Abschätzung regionaler Bodenerosionsrisiken

Auteur : Bakimchandra, Oinam

Université de soutenance  : Universität Stuttgart

Grade : Doktor-Ingenieurs (Dr.-Ing.) 2011

Modelling a dynamic and physical process, such as soil erosion, is prone to errors and problems. The availability of the right kind of data source, quality of data used, scale issues in modelling, measurement errors etc. and the complexity of the model in itself are some of the issues that are explicitly addressed and reported in soil erosion research studies. Existing soil erosion models based on physical processes are very data demanding in both their amount of variables and their temporal and spatial resolution requirements. Hence, data scarcity and lack of reliable data tend to pose a problem for successful application of physical based erosion models. On the other hand, less data demanding empirical based models are developed for a certain environmental set up using erosion plot studies and thus their applicability is restricted to regions where they were developed. Another significant aspect that is overlooked in many past soil erosion risk assessment studies is the nature of the various environmental control parameters involved in modelling, which are fuzzy in reality. When mapping erosion risk, the introduction of fuzzy sets instead of crisp sets to define classes (i.e. degree of hazard or risk) will help to incorporate a degree of fuzziness within each class of the governing parameters. It is found that various existing soil erosion risk models consider each feature and spatial units present on the landscape or catchment as having distinct boundaries. In reality, the existing natural boundaries are much more complex. To cope with such problems of class boundaries and to incorporate the expert knowledge that can represent the processes under investigation, there is a need of fuzzy logic based modelling approach. In this PhD research, a simple and efficient fuzzy logic-based soil erosion risk model for monitoring the soil erosion risk distribution over a regional landscape is developed. The developed model is known as Fuzzy-Water Erosion Risk Classification and Assessment Model (F-WERCAM). As the name indicates, this model is intended for water based soil erosion risk classification and their assessment using a fuzzy logic modelling concept in a GIS platform.

Mots Clés  : Bodenerosionsrisiken, Niederschlagserosivität, Bodenerodierbarkeit, GIS Modellierung, Fuzzy Logic, F-WERCAM, Soil Erosion, GIS, Remote Sensing, Regional Landscape


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Page publiée le 8 novembre 2011, mise à jour le 12 mai 2019