Variations in Channel Centerline Migration Rate and Intensity of a Braided Reach in the Lower Yellow River

Remote Sensing - Tập 13 Số 9 - Trang 1680
Junqiang Xia1, Yingzhen Wang1, Meirong Zhou1, Shanshan Deng1, Zhiwei Li1, Zenghui Wang2,1
1State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
2College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China

Tóm tắt

The Yellow River (YR) covers three climatic zones including arid region, semi-arid region and temperate monsoon region, with frequent appearance of flow intermittence in the Lower Yellow River (LYR) before 1999. Channel migration occurs frequently in braided rivers, which is a major focus of study in geomorphology and river dynamics. The braided reach in the LYR is featured by a complexly spatio-temporal variation in channel migration parameters owing to the varying condition of flow and sediment. It is crucial to investigate the migration characteristics of channel centerline for the sake of fully understanding channel evolution. A detailed calculation procedure is proposed to quantify migration rates and intensities of channel centerline at section- and reach-scales, using the measurements of remote sensing images and cross-sectional topography. Migration rates and intensities of channel centerline at section- and reach-scales from 1986 to 2016 were calculated, with the characteristics and key factors to control the migration intensity of channel centerline being identified quantitatively. Calculated results indicate that: (i) the mean probability of centerline migrating toward the left side was approximately equal to the probability of rightward migration from a long-term sequence; (ii) the mean reach-scale migration rate of channel centerline was reduced from 410 m/yr in 1986–1999 to 185 m/yr in 1999–2016, with a reduction of 55% owing to the Xiaolangdi Reservoir operation in 1999, and the mean reach-scale migration intensity of channel centerline was decreased from 0.28 to 0.16 m/(yr·m), with a reduction of 43%; (iii) the incoming flow-sediment regime was a dominant factor affecting the degree of channel migration, although the channel boundary conditions could influence the intensity of channel migration; and (iv) the reach-scale migration intensity of channel centerline can be written as a power function of the previous two-year average incoming sediment coefficient or fluvial erosion intensity, and the reach-scale migration intensities of channel centerline calculated using the proposed relations are generally in close agreement with the measurements over the period of 30 years.

Từ khóa


Tài liệu tham khảo

Zhang, R., and Xie, J. (1993). Sedimentation Research in China, China Water and Power Press.

Julien, 2003, River Mechanics, Appl. Mech. Rev., 56, B30, 10.1115/1.1553449

Chien, N., and Zhou, W. (1965). Channel Evolution in the Lower Yellow River, Science Press.

Klaassen, G.J., Mosselman, E., Masselink, G., Bruhl, H., Huisink, M., Koomen, E., and Seymonsbergen, A.C. (1993). Planform Changes in Large Braided Sand-Bed Rivers, Delft Hudraulics.

Petts, 2005, Dams and geomorphology: Research progress and future directions, Geomorphology, 71, 27, 10.1016/j.geomorph.2004.02.015

Peixoto, 2009, Spatial and temporal dynamics of river channel migration and vegetation in central Amazonian white-water floodplains by remote-sensing techniques, Remote. Sens. Environ., 113, 2258, 10.1016/j.rse.2009.06.015

Rowland, 2016, A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery, Remote Sens. Environ., 184, 212, 10.1016/j.rse.2016.07.005

Miao, 2010, Recent changes of water discharge and sediment load in the Yellow River basin, China, Prog. Phys. Geogr. Earth Environ., 34, 541, 10.1177/0309133310369434

Ma, 2012, Channel adjustments in response to the operation of large dams: The upper reach of the lower Yellow River, Geomorphology, 147–148, 35, 10.1016/j.geomorph.2011.07.032

Xia, 2014, Response of reach-scale bankfull channel geometry to the altered flow and sediment regime in the lower Yellow River, Geomorphology, 213, 255, 10.1016/j.geomorph.2014.01.017

Xia, 2013, Recent variation in reach-scale bankfull discharge in the Lower Yellow River, Earth Surf. Process. Landf., 39, 723, 10.1002/esp.3474

Song, 2020, Simulation on the stochastic evolution of hydraulic geometry relationships with the stochastic changing bankfull discharges in the Lower Yellow River, J. Geogr. Sci., 30, 843, 10.1007/s11442-020-1758-z

Li, 2017, Variation in reach-scale thalweg-migration intensity in a braided reach of the lower Yellow River in 1986–2015, Earth Surf. Process. Landf., 42, 1952, 10.1002/esp.4154

Chen, 2012, Reservoir Sedimentation and Transformation of Morpho-Logy in the Lower Yellow River during 10 Year’s Initial Operation of the Xiaolangdi Reservoir, J. Hydrodyn., 24, 914, 10.1016/S1001-6058(11)60319-3

MacDonald, T.E., Parker, G., and Leuthe, D.P. (1991). Inventory and Analysis of Stream Meander Problems in Minnesota. [Master’s Thesis, University of Minnesota].

Richard, 2005, Case Study: Modeling the Lateral Mobility of the Rio Grande below Cochiti Dam, New Mexico, J. Hydraul. Eng., 131, 931, 10.1061/(ASCE)0733-9429(2005)131:11(931)

Kong, 2020, Morphological response of the Lower Yellow River to the operation of Xiaolangdi Dam, China, Geomorphology, 350, 106931, 10.1016/j.geomorph.2019.106931

Leys, 1999, River channel planform change: Software for historical analysis, Geomorphology, 29, 107, 10.1016/S0169-555X(99)00009-4

Wu, 2005, Case Study: River Training and Its Effects on Fluvial Processes in the Lower Yellow River, China, J. Hydraul. Eng., 131, 85, 10.1061/(ASCE)0733-9429(2005)131:2(85)

Yang, 1999, Satellite remote sensing and GIS for the analysis of channel migration changes in the active Yellow River Delta, China, Int. J. Appl. Earth Obs. Geoinform., 1, 146

Yang, 2015, Remotely Sensed Trajectory Analysis of Channel Migration in Lower Jingjiang Reach during the Period of 1983–2013, Remote Sens., 7, 16241, 10.3390/rs71215828

Wang, 2016, Spatial and temporal variations of channel lateral migration rates in the Inner Mongolian reach of the upper Yellow River, Environ. Earth Sci., 75, 1255, 10.1007/s12665-016-6069-4

Priestnall, 2006, Cover: Spatial and temporal remote sensing requirements for river monitoring, Int. J. Remote Sens., 27, 2111, 10.1080/01431160500396139

Takagi, 2007, Channel braiding and stability of the Brahmaputra River, Bangladesh, since 1967: GIS and remote sensing analyses, Geomorpholology, 85, 294, 10.1016/j.geomorph.2006.03.028

Arnesen, 2013, Monitoring flood extent in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images, Remote Sens. Environ., 130, 51, 10.1016/j.rse.2012.10.035

Allen, 2015, Patterns of river width and surface area revealed by the satellite-derived North American River Width data set, Geophys. Res. Lett., 42, 395, 10.1002/2014GL062764

Shields, 2000, Reservoir effects on downstream river channel migration, Environ. Conserv., 27, 54, 10.1017/S0376892900000072

Fisher, 2013, Channel planform geometry and slopes from freely available high-spatial resolution imagery and DEM fusion: Implications for channel width scalings, erosion proxies, and fluvial signatures in tectonically active landscapes, Geomorphology, 194, 46, 10.1016/j.geomorph.2013.04.011

Li, 2016, Continuous monitoring of coastline dynamics in western Florida with a 30-year time series of Landsat imagery, Remote Sens. Environ., 179, 196, 10.1016/j.rse.2016.03.031

Park, 2017, The hydro-geomorphologic complexity of the lower Amazon River floodplain and hydrological connectivity assessed by remote sensing and field control, Remote Sens. Environ., 198, 321, 10.1016/j.rse.2017.06.021

Hossain, 2013, Assessing morphological changes of the Ganges River using satellite images, Quat. Int., 304, 142, 10.1016/j.quaint.2013.03.028

Yu, 2013, Effects of Dams on Water and Sediment Delivery to the Sea by the Huanghe (Yellow River): The Special Role of Water–Sediment Modulation, Anthropocene, 3, 72, 10.1016/j.ancene.2014.03.001

Long, 1986, Erosion and Transportation of Sediment in the Yellow River Basin, Int. J. Sediment Res., 1, 2

Liu, 2012, Impacts of human activities on nutrient transports in the Huanghe (Yellow River) estuary, J. Hydrol., 430-431, 103, 10.1016/j.jhydrol.2012.02.005

Miao, 2016, Functional degradation of the water–sediment regulation scheme in the lower Yellow River: Spatial and temporal analyses, Sci. Total Environ., 551-552, 16, 10.1016/j.scitotenv.2016.02.006

Wang, 2008, Numerical Simulation of Longitudinal and Lateral Channel Deformations in the Braided Reach of the Lower Yellow River, J. Hydraul. Eng., 134, 1064, 10.1061/(ASCE)0733-9429(2008)134:8(1064)

Wu, 2012, A general framework for using the rate law to simulate morphological response to disturbance in the fluvial system, Prog. Phys. Geogr. Earth Environ., 36, 575, 10.1177/0309133312436569

Walling, 1977, Assessing the accuracy of suspended sediment rating curves for a small basin, Water Resour. Res., 13, 531, 10.1029/WR013i003p00531

Andrews, 1988, Fjords: Processes and Products, Arct. Alp. Res., 20, 375, 10.2307/1551273

Horowitz, 2003, An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations, Hydrol. Process., 17, 3387, 10.1002/hyp.1299

Yang, 2007, Sediment rating parameters and their implications: Yangtze River, China, Geomorphology, 85, 166, 10.1016/j.geomorph.2006.03.016

Fan, 2012, Sediment rating curves in the Ningxia-Inner Mongolia reaches of the upper Yellow River and their implications, Quat. Int., 282, 152, 10.1016/j.quaint.2012.04.044

Zhang, 2018, Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China, Hydrol. Process., 32, 1616, 10.1002/hyp.11514

1973, Undersuchungen Über Zusammensetzung Und Transport von Schwebstoffen in Einigen Schweizer Flüseen, Geogr. Helv., 28, 137, 10.5194/gh-28-137-1973

Morgan, R.P.C. (1995). Soil Erosion and Conservation, Longman.

Xia, 2016, Geomorphic response of the Jingjiang Reach to the Three Gorges Project operation, Earth Surf. Process. Landf., 42, 866, 10.1002/esp.4043

Zhou, 2017, Morphological adjustments in a meandering reach of the middle Yangtze River caused by severe human activities, Geomorphology, 285, 325, 10.1016/j.geomorph.2017.02.022

Xia, 2019, Dynamic adjustments in bankfull width of a braided reach, Proc. Inst. Civ. Eng. Water Manag., 172, 207, 10.1680/jwama.17.00043

McFeeters, 1996, The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17, 1425, 10.1080/01431169608948714

Xia, 2018, Modelling of hyperconcentrated flood and channel evolution in a braided reach using a dynamically coupled one-dimensional approach, J. Hydrol., 561, 622, 10.1016/j.jhydrol.2018.04.017

Tian, 2016, Fluvial processes of the downstream reaches of the reservoirs in the Lower Yellow River, J. Geogr. Sci., 26, 1321, 10.1007/s11442-016-1329-5

Xia, 2008, An analysis of soil composition and mechanical properties of riverbanks in a braided reach of the Lower Yellow River, Sci. Bull., 53, 2400, 10.1007/s11434-008-0282-9

Julien, 1996, Closure to “Alluvial Channel Geometry: Theory and Applications” by Pierre Y. Julien and Jayamurni Wargadalam, J. Hydraul. Eng., 122, 752, 10.1061/(ASCE)0733-9429(1996)122:12(750)

He, 2011, Improved Bankfull Channel Geometry Prediction Using Two-Year Return-Period Discharge1, JAWRA J. Am. Water Resour. Assoc., 47, 1298, 10.1111/j.1752-1688.2011.00567.x

Hu, Y., Zhang, H., Liu, G., Wang, K., Peng, R., and Liu, Y. (1998). River Training in the Braided Reach of the Lower Yellow River, The Yellow River Water Conservancy Press.

Thông tin
Thông tin xuất bản

Remote Sensing

Tập 13 Số 9

1680

Thông tin tác giả