PDF Download

[1]LI Pengfei,ZHANG Xiaochen,DANG Xu,et al.Investigation of Erosion Processes on the Slope-Gully System Using 3D Laser Scanning[J].Research of Soil and Water Conservation,2023,30(02):13-21.[doi:10.13869/j.cnki.rswc.2023.02.050]

Copy

Investigation of Erosion Processes on the Slope-Gully System Using 3D Laser Scanning

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 02 Page number: 13-21 Column: Public date: 2023-03-10

Title:: Investigation of Erosion Processes on the Slope-Gully System Using 3D Laser Scanning

Author(s):: LI Pengfei, ZHANG Xiaochen, DANG Xu, HU Jinfei, YAO Wanqiang, HAO Mingkui; (College of Gomatics, Xi'an University of Science and Technology, Xi'an 710054, China)

Keywords:: soil erosion; 3D laser scanning; spatiotemporal pattern; slope-gully system; Loess Plateau

CLC:: P237

DOI:: 10.13869/j.cnki.rswc.2023.02.050

Abstract:: In order to explore the soil erosion process of in-situ slope-gully systems, five runoff scouring experiments were undertaken on a slope-gully system plot established on a natural slope of a small catchment(i.e. Xindiangou Catchment)in the hilly-gully region of Loess Plateau, while the terrestrial laser scanning(TLS)was employed to acquire the ultra-high resolution terrain information of the slope-gully system. The digital elevation model(DEM)of difference(DoD)algorithm was used to derive the sediment yield of the plot. The accuracy of the derived sediment yield was then assessed by using the measured sediment yield. The spatial pattern of erosion-deposition within the slope-gully system was also investigated based on the DoD results. The results showed that:(1)DoD uncertainty(i. e. level of detection, LoD)ranged between 16.2 mm and 16.8 mm(average value is 16.5 mm)for a cumulative erosion monitoring, while LoD ranged between 16.2 mm and 16.6 mm with an average value of 16.4 mm for the consecutive erosion monitoring;(2)TLS-derived and measured cumulative sediment yields were highly correlated(R²>0.9, p<0.05), and the mean(minimum-maximum)relative errors of TLS-derived values for the hillslope, the gully slope and the whole of the slope-gully system were found to be 52.63%(26.06%～106.98%), 56.68%(30.26%～75.49%)and 56.28%(33.37%～73.28%), respectively; no significant relation(R²<0.57, p>0.05)was found between TLS-derived and measured consecutive sediment yield, and the mean(minimum-maximum)relative errors of TLS-derived values were 83.70%(4.08%～190.40%), 91.41%(0.95%～225.09%)and 87.58%(4.09%～215.55%), which demonstrated that TLS was more suitable for a monitoring of cumulative sediment yield rather than consecutive sediment yield in the slope-gully system;(3)the amounts of erosion and sediment yield on hillslope, gully slope and slope-gully system increased with the progress of runoff scouring, while depositions on gully slope and the whole of the slope-gully system stabilized after a rapid increase in the first experiments;(4)on the hillslope, erosion mainly occurred on the upper and middle parts while deposition primarily occurred on the lower part; intensive erosion was found on most area of the gully slope, while the deposition was mainly found on the bottom of the gully. The area with erosion accounted for over 79% of the area with topographic changes. These results can provide the useful reference for erosion monitoring and erosion process studies on the Chinese Loess Plateau.

References:: [1] 张素,熊东红,吴汉,等.基于RUSLE模型的孙水河流域土壤侵蚀空间分异特征[J].水土保持学报,2021,35(5):24-30.
[2] Li P F, Mu X M, Joseph H, et al. Comparison of soil erosion models used to study the Chinese Loess Plateau[J]. Earth-Science Reviews, 2017,170:17-30.
[3] Zhao G J, Gao P, Tian P, et al. Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China[J]. Catena, 2020,185:104284.
[4] Wang H, Wang J, Zhang G H. Impact of landscape positions on soil erodibility indices in typical vegetation-restored slope-gully systems on the Loess Plateau of China[J]. Catena, 2021,201:105235.
[5] 苏远逸,李鹏,李占斌,等.坡面植被格局对坡沟系统能量调控及水沙响应关系的影响[J].水土保持学报,2017,31(5):32-39.
[6] 王承书,高峰,孙文义,等.黄土丘陵沟壑区坡沟系统不同降雨类型的土壤入渗特征[J].生态学报,2021,41(8):3111-3122.
[7] Li P F, Hao M K, HU J F, et al. Spatiotemporal patterns of hillslope erosion investigated based on field scouring experiments and terrestrial laser scanning[J]. Remote Sensing, 2021,13(9):1674.
[8] 张凯,王瑄,周丽丽,等.径流冲刷条件下冻融坡面产沙时空分布[J].水土保持学报,2017,31(5):139-144.
[9] Bryan R B. Soil erodibility and processes of water erosion on hillslope[J]. Geomorphology, 2000,32(3):385-415.
[10] Rejman J, Brodowski R. Rill characteristics and sediment transport as a function of slope length during a storm event on loess soil[J]. Earth Surface Processes and Landforms, 2005,30(2):231-239.
[11] Miernecki M, Wigneron J P, Lopez-baeza E, et al. Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field[J]. Remote Sensing of Environment, 2014,154:89-101.
[12] 韩鹏,倪晋仁,李天宏.细沟发育过程中的溯源侵蚀与沟壁崩塌[J].应用基础与工程科学学报,2002,10(2):115-125.
[13] Wells R R, Momm H G, Rigby J R, et al. An empirical investigation of gully widening rates in upland concentrated flows[J]. Catena, 2013,101:114-121.
[14] James L A, Watson D G, Hansen W F. Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA[J]. Catena, 2007,71(1):132-144.
[15] 肖海,夏振尧,朱晓军,等.三维激光扫描仪在坡面土壤侵蚀研究中的应用[J].水土保持通报,2014,34(3):198-200.
[16] 游智敏,伍永秋,刘宝元.利用GPS进行切沟侵蚀监测研究[J].水土保持学报,2004,18(5):91-94.
[17] 胡刚,伍永秋,刘宝元,等.GPS和GIS进行短期沟蚀研究初探:以东北漫川漫岗黑土区为例[J].水土保持学报,2004,18(4):16-19,41.
[18] Chico G, Clutterbuck B, Midgley N, et al. Application of terrestrial laser scanning to quantify surface changes in restored and degraded blanket bogs[J]. Mires and Peat, 2019,24(14),1-24.
[19] 郑粉莉,徐锡蒙,覃超.沟蚀过程研究进展[J].农业机械学报,2016,47(8):48-59,116.
[20] Passalacqua P, Belmont P, Staley D M, et al. Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes:A review[J]. Earth-Science Reviews, 2015,148:174-193.
[21] 霍云云,吴淑芳,冯浩,等.基于三维激光扫描仪的坡面细沟侵蚀动态过程研究[J].中国水土保持科学,2011,9(2):32-37,46.
[22] 赵龙山,侯瑞,吴发启.黄土坡面细沟侵蚀研究进展与展望[J].中国水土保持,2017(9):47-51,67.
[23] 刘希林,张大林.基于三维激光扫描的崩岗侵蚀的时空分析[J].农业工程学报,2015,31(4):204-211.
[24] 谢谟文,胡嫚,杜岩,等. TLS技术及其在滑坡监测中的应用进展[J].国土资源遥感,2014,26(3):8-15.
[25] 朱建东,吴礼舟,李绍红,等.2种雨型的黄土坡面侵蚀室内试验[J].水土保持学报,2019,33(6):92-98.
[26] 付金霞,王静,张宝利,等.砒砂岩原状坡面不同季节复合侵蚀动力的贡献研究[J].农业工程学报,2020,36(11):66-73.
[27] 党维勤,党恬敏.辛店沟水土保持科技示范园景观资源及其美学意境分析[C]//2015海峡两岸水土保持学术研讨会论文集(上),中国山西太原,2015.
[28] 王伟,李志能,李鹏,等.连续极端暴雨事件下小流域侵蚀泥沙流失规律研究[J].西安理工大学学报,2020,36(3):286-293.
[29] 杨帆,潘成忠.黄土丘陵沟壑区多年生草地的保水固土效益[J].水土保持通报,2016,36(2):300-306.
[30] Sun W, Shao Q, Liu J, et al. Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China[J]. Catena, 2014,121:151-163.
[31] Gong J G, Jia Y W, Zhou Z H, et al. An experimental study on dynamic processes of ephemeral gully erosion in loess landscapes[J]. Geomorphology, 2011,125(1):203-213.
[32] Girardeau-Montaut D, Roux M, Marc R, et al. Change detection on points cloud data acquired with a ground laser scanner[C]//International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Germany, 2005.
[33] Barnhart T, Crosby B. Comparing two methods of surface change detection on an evolving thermokarst using high-temporal-frequency terrestrial laser scanning, Selawik River, Alaska[J]. Remote Sensing, 2013,5(6):2813-2837.
[34] Lague D, Brodu N, Leroux J. Accurate 3 D comparison of complex topography with terrestrial laser scanner:Application to the Rangitikei canyon(N-Z)[J]. Isprs Journal of Photogrammetry and Remote Sensing, 2013,82:10-26.
[35] Wheaton J M, Brasington J, Darby S E, et al. Accounting for uncertainty in DEMs from repeat topographic surveys:improved sediment budgets[J]. Earth Surface Processes and Landforms, 2010,35(2):136-156.
[36] Nourbakhshbeidokhti S, Kinoshita A, Chin A, et al. A Workflow to estimate topographic and volumetric changes and errors in channel sedimentation after disturbance[J]. Remote Sensing, 2019,11(5):586.
[37] Milan D J, Heritage G, Hetherington D. Application of a 3 D laser scanner in the assessment of erosion and deposition volumes and channel change in a proglacial river[J]. Earth Surface Processes and Landforms, 2007,32(11):1657-1674.
[38] Milan D J, Heritage G, Large A R G, et al. Filtering spatial error from DEMs: Implications for morphological change estimation[J]. Geomorphology, 2011,125(1):160-171.
[39] Lane S, Westaway R M, Hicks M. Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing[J]. Earth Surface Processes and Landforms, 2003,28(3):249-271.
[40] Collins B D, Corbett S C, Fairley H C, et al. Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007—2010[R]. U. S. Geological Survey Scientific Investigations Report, 2012.
[41] Cavalli M, Goldin B, Comiti F, et al. Assessment of erosion and deposition in steep mountain basins by differencing sequential digital terrain models[J]. Geomorphology, 2017,291:4-16.
[42] Lane S, Westaway R M, Hicks M. Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing[J]. Earth Surface Processes and Landforms, 2003,28(3):249-271.
[43] Wheaton J M, Brasington J, Darby S E, et al. Accounting for uncertainty in DEMs from repeat topographic surveys:improved sediment budgets[J]. Earth Surface Processes and Landforms, 2009,35(2):136-156.
[44] Rengers F K, Tucker G E, Moody J A, et al. Illuminating wildfire erosion and deposition patterns with repeat terrestrial lidar[J]. Journal of Geophysical Research Earth Surface, 2016,121(3):588-608.
[45] 朱建东,吴礼舟,李绍红,等.2种雨型的黄土坡面侵蚀室内试验[J].水土保持学报,2019,33(6):92-98.
[46] Winiwarter L, Anders K, Höfle B. M3 C2-EP:Pushing the limits of 3D topographic point cloud change detection by error propagation[J]. Isprs Journal of Photogrammetry and Remote Sensing, 2021,178:240-258.
[47] Abellán A, Jaboyedoff M, Oppikofer T, et al. Detection of millimetric deformation using a terrestrial laser scanner: Experiment and application to a rockfall event[J]. Natural Hazards and Earth System Sciences, 2009,9(2):365-372.
[48] 王玲玲,姚文艺,王文龙,等.黄丘区坡沟系统不同时间尺度下的侵蚀产沙特征[J].水利学报,2013,44(11):1347-1351.
[49] Li M, Yao W Y, Ding W F, et al. Effect of grass coverage on sediment yield in the hillslope-gully side erosion system[J]. Journal of Geographical Sciences, 2009,19(3):321-330.
[50] 杨春霞,李莉,王佳欣,等.坡沟系统侵蚀时空分布特征试验研究[J].人民黄河,2017,39(1):95-97.
[51] 丁文峰,李勉,张平仓,等.坡沟系统侵蚀产沙特征模拟试验研究[J].农业工程学报,2006,22(3):10-14.
[52] 张光辉.切沟侵蚀研究进展与展望[J].水土保持学报,2020,34(5):1-13.
[53] Allen P M, Arnold J, Auguste L, et al. Application of a simple headcut advance model for gullys[J]. Earth Surface Processes and Landforms, 2017,43(7):202-217.

Similar References:

Memo

Last Update: 2023-03-10