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Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension
Kamila J Kabo-Bah1,2, Tang Guoan1, Xin Yang1
1College of Geographic Science, Nanjing Normal University, No.1 Wenyuan Road, Nanjing Normal University, Nanjing, Jiangsu Province, 210023, China.
Heliyon
|June 18, 2021
Summary
Integrating fractal dimension (FD) into erosion potential mapping significantly improves accuracy in the Loess Plateau. This study highlights FD
Area of Science:
- Geosciences
- Environmental Science
- Geography
Background:
- Soil erosion is a major threat to sustainable land management in China's Loess Plateau.
- Previous Erosion Potential Mapping (EPM) studies have limitedly explored the role of terrain fractal dimension (FD).
Purpose of the Study:
- To assess the influence of fractal terrain features on Erosion Potential Mapping (EPM).
- To determine the optimal scale for EPM incorporating fractal analysis.
Main Methods:
- Analytical Hierarchical Process (AHP) with 6 criteria: FD, Land Use Land Cover, Slope, Elevation, Geomorphology, and Flow Accumulation.
- Development within a Geographic Information System (GIS) framework.
- Evaluation of 8 scales to identify the best scale with low Consistency Ratio (CR) and Minimum Relative Error (MRE).
Main Results:
- EPM integrating FD produced more reliable results compared to models without FD.
- EPM with FD showed 29.4% low erosion potential, while EPM without FD showed 46.7%.
- Approximately 70% of the Shaanxi province faces a high risk of erosion.
Conclusions:
- Fractal dimension is a crucial factor for accurate EPM in the Loess Plateau.
- The study recommends integrating fractal analysis into EPM for China and similar regions.
- Sustainable soil management measures are essential to mitigate erosion risks and protect ecological habitats.
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