研究目的
To develop a method to acquire Manning’s n by creating very high-resolution surface models with structure-from-motion methods for physically based erosion models.
研究成果
The results showed good agreement between surface roughness data generated with a SfM workflow and measured hydraulic roughness coefficients. Best agreement was achieved with a non-linear sigmoid function and D90 rather than with the Garbrecht equation or statistical parameters.
研究不足
The study is limited by the range of different grain sizes and surface roughness restricted to one soil type and the measurement was carried out using a pin meter. The position of the plot is chosen according to the accessibility and is thus restricted and not free of subjectivity.
1:Experimental Design and Method Selection:
The study applied SfM algorithms to produce high-resolution surface models to derive information on microtopography influencing runoff. Flow experiments were conducted to measure stream velocity with colour tracers.
2:Sample Selection and Data Sources:
Data were collected from field experiments in the Lainbach valley, southern Germany, agricultural sites in Saxony, eastern Germany, and in central Brazil.
3:List of Experimental Equipment and Materials:
A Canon EOS 6D full format DSLR with a Tokina 16–28 mm f/2.8 lens, colour tracer (Vitasyn Blue AE 90), and a Leica TPS1200/TCRM1205 tachymeter were used.
4:8 lens, colour tracer (Vitasyn Blue AE 90), and a Leica TPS1200/TCRM1205 tachymeter were used.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Discharge experiments on a 1 × 1 m2 plot were carried out, with runoff introduced to the soil surface via a distributor. Flow velocity was measured by adding colour tracer to the flow.
5:Data Analysis Methods:
Several roughness parameters were tested (standard deviation, random roughness, Garbrecht’s n and D90) for their correlation with hydraulic roughness.
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