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Accurate morphological parameters are key to understand the process and mechanism of gully erosion, but little information exists regarding the accuracy of gully volume influenced by sampling spacing. In order to assess the influence of sampling spacing on volume of medium gully under the condition of different shapes of gully cross-sections, as well as to provide information for proposed surveys, a MultiStation was utilized to obtain the point cloud of a Uand V-shaped gully. The coordinates were subsequently rarefied to a certain sampling spacing, and the gully volumes of three modes (Mode 1 only including rarefied terrain points; Mode 2 including detailed terrain and rarefied terrain points; Mode 3 including the rarefied detailed terrain points and terrain points with a given sampling spacing) were calculated in ArcGIS. The results showed that the error of gully volume increased non-monotonously with sampling spacing increased, and that the detail points had greater influence on the gully volume of a U-shaped than a V-shaped gully. As to Mode 1 and 2, the relative error (RE) of U-shaped gully volume increased faster with sampling spacing increasing, and presented high positive correlation. However, in the case of a V-shaped gully, a middle positive correlation for Mode 1 can be observed, and the RE was below 3% for Mode 2. For Mode 3, an increase in the sampling spacing of the terrain led to the larger RE, average RE, and variance of absolute error. If extremely high accuracy (2.5% of RE) is required, sampling spacing is less than 0.5 m; if high accuracy (5% of RE) is set, the sampling spacing of terrain points is below 0.8 m for a U-shaped gully, while the corresponding sampling spacing of terrain points and detail points are 2.0 m and 1.85 m, 3.0 m and 1.80 m, and 4.0 m and 0.75 m for a V-shaped gully. The shape of the gully’s cross-section, as well as the exact location of the shoulder line will affect the accuracy of the gully’s volume. This study will increase the efficiency of detail survey in the field for medium gully.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
109--121
Opis fizyczny
Bibliogr. 34 poz., rys.
Twórcy
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
- Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion of Dry Valley, China West Normal University, Nanchong 637009, China
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
- Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion of Dry Valley, China West Normal University, Nanchong 637009, China
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
autor
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
- Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion of Dry Valley, China West Normal University, Nanchong 637009, China
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
- Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion of Dry Valley, China West Normal University, Nanchong 637009, China
autor
- School of Land and Resources, China West Normal University, Nanchong 637009, China
- Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion of Dry Valley, China West Normal University, Nanchong 637009, China
Bibliografia
- 1. Alganci, U., Besol, B., Sertel, E. 2018. Accuracy Assessment of Different Digital Surface Models. Isprs International Journal of Geo-Information, 7, 1–16.
- 2. Avanzi, F. et al. 2018. Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation. Remote Sensing, 10, 765.
- 3. Bazzoffi, P. 2015. Measurement of rill erosion through a new UAV-GIS methodology. Italian Journal of Agronomy, 10, 18.
- 4. Bruno, C., Di Stefano, C., Ferro, V. 2008. Field investigation on rilling in the experimental Sparacia area, South Italy. Earth Surface Processes and Landforms, 33, 263–279.
- 5. Caraballo-Arias, N.A., Conoscenti, C., Di Stefano, C., Ferro, V., Gomez-Gutierrez, A. 2016. Morphometric and hydraulic geometry assessment of a gully in SW Spain. Geomorphology, 274, 143–151.
- 6. Casalí, J., Giménez, R., Campobescós, M.A. 2015. Gully geometry: what are we measuring? Soil, 1, 509–513.
- 7. Castillo, C., Marín-Moreno, V.J., Pérez, R., Muñoz-Salinas, R., Taguas, E.V. 2018. Accurate automated assessment of gully cross-section geometry using the photogrammetric interface FreeXSapp. Earth Surface Processes and Landforms, 43, 1726–1736.
- 8. Castillo, C. et al. 2012. Comparing the Accuracy of Several Field Methods for Measuring Gully Erosion. Soil Science Society of America Journal, 76, 1319–1332.
- 9. Christian, P., Davis, J. 2016. Hillslope gully photogeomorphology using structure-from-motion. Zeitschrift Fur Geomorphologie, 60, 59–78.
- 10. Conoscenti, C. et al. 2014. Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy). Geomorphology, 204, 399–411.
- 11. Deng, Q. et al. 2015a. Planar morphology and controlling factors of the gullies in the Yuanmou Dryhot Valley based on field investigation. Journal of Arid Land, 7, 778–793.
- 12. Deng, Q. et al. 2015b. Characterizing the morphology of gully cross-sections based on PCA: A case of Yuanmou Dry-Hot Valley. Geomorphology, 228, 703–713.
- 13. FAO, 1977. Guidelines for watershed management in: FAO (Ed.), FAO Conservation Guide FAO, Rome (Italy), pp. 293.
- 14. Frankl, A. et al. 2015. Detailed recording of gully morphology in 3D through image-based modelling. Catena, 127, 92–101.
- 15. Gimenez, R. et al. 2009. Accuracy of high-resolution photogrammetric measurements of gullies with contrasting morphology. Earth Surface Processes and Landforms, 34, 1915–1926.
- 16. Gomez-Gutierrez, A., Schnabel, S., Berenguer-Sempere, F., Lavado-Contador, F., Rubio-Delgado, J. 2014. Using 3D photo-reconstruction methods to estimate gully headcut erosion. Catena, 120, 91–101.
- 17. He, F., Li, Y., Li, L., Zhang, Q., Bai, L. 2005. Assessing Gully Development in Upper Yangtze River Basin Based on GPS and GIS. Journal of Soil and Water Conservation, 19, 19–22.
- 18. Ionita, I., Fullen, M.A., Zglobicki, W., Poesen, J. 2015. Gully erosion as a natural and human-induced hazard. Natural Hazards, 79, S1-S5.
- 19. Kompani-Zare, M., Soufi, M., Hamzehzarghani, H., Dehghani, M. 2011. The effect of some watershed, soil characteristics and morphometric factors on the relationship between the gully volume and length in Fars Province, Iran. CATENA, 86, 150–159.
- 20. Li, Z. et al., 2017. A gully erosion assessment model for the Chinese Loess Plateau based on changes in gully length and area. Catena, 148, 195–203.
- 21. Nachtergaele, J., Poesen, J. 1999. Assessment of soil losses by ephemeral gully erosion using highaltitude (stereo) aerial photographs. Earth Surface Processes and Landforms, 24, 693–706.
- 22. Pathak, P., Wani, S.P., Sudi, R. 2006. Gully Control in SAT Watersheds. Journal of Sat Agricultural Research, 2, 1–22.
- 23. Pesci, A., Teza, G., Bonali, E. 2011. Terrestrial Laser Scanner Resolution: Numerical Simulations and Experiments on Spatial Sampling Optimization. Remote Sensing, 3, 167.
- 24. Poesen, J. 1993. Gully typology and gully control measures in the European loess belt. Elsevier Science Publishers B.V.
- 25. Poesen, J., Nachtergaele, J., Verstraeten, G., Valentin, C. 2003. Gully erosion and environmental change: importance and research needs. Catena, 50, 91–133.
- 26. Ran, H. et al. 2018. Morphology and influencing factors of rills in the steep slope in Yuanmou DryHot Valley (SW China). Catena, 165, 54–62.
- 27. Stocker, C., Eltner, A., Karrasch, P. 2015. Measuring gullies by synergetic application of UAV and close range photogrammetry – A case study from Andalusia, Spain. Catena, 132, 1–11.
- 28. Taylor, R.J. et al. 2018. Quantifying sediment connectivity in an actively eroding gully complex, Waipaoa catchment, New Zealand. Geomorphology, 307, 24–37.
- 29. Valentin, C., Poesen, J., Li, Y. 2005. Gully erosion: Impacts, factors and control. Catena, 63, 132–153.
- 30. Wang, T. et al. 2014. A Quantitative Study of Gully Erosion Based on Object-Oriented Analysis Techniques: A Case Study in Beiyanzikou Catchment of Qixia, Shandong, China. The Scientific World Journal, 2014, 1–11.
- 31. Wells, R.R., Momm, H.G., Castillo, C. 2017. Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring. Earth Surface Dynamics, 5, 347–367.
- 32. Woodward, D.E. 1999. Method to predict cropland ephemeral gully erosion. CATENA, 37, 393–399.
- 33. Yin, J., Wu, Y., Wang, Y. 2008. Error Analysis of Gullies’ Measurement with Different Methods. Research of Soil and Water Conservation, 15, 12–16.
- 34. Zhao, W., Lin, Z. 2016. SFM precise surface measurement: evaluation of resolution and accuracy and error analysis. Geography and Geo-information Science, 23, 25–31.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6cc77c79-373e-41e6-8b12-9ca502b15d29
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