Geospatial technology based evaluation of recent morphodynamic changes and flow patterns in the upper Jhelum River

Abstract

This study was conducted to address the concerns over the changes in river morphology and their implications for sustainable river management. It investigates the morphological dynamics of the Upper Jhelum River between 2018 and 2023, using high-resolution Sentinel-2 imagery and advanced geospatial techniques to capture subtle yet significant changes in river morphology during the period. Remote sensing techniques integrated with MATLAB-based analytical algorithms were used to delineate and quantify changes in river planform, width, migration, and spatial patterns of erosion and deposition. This provided comprehensive evidence of the river's adaptive responses to both natural and anthropogenic influences. Results indicate substantial variations in the morphodynamic parameters, with river width ranging from 590.15 m (at 125 km) to 34.8 m (at 117.8 km), an annual centerline migration rate of 5.36 m, and distinct erosion-accretion dynamics—20.38 km² of accretion upstream (Segment A) and 26.94 km² of erosion downstream (Segment C). The Flow Duration Curves (FDCs) for 2018 and 2023 focus on the role of discharge variability in driving these morphological changes, with higher flows in 2018 corresponding with increased width and channel migration compared to 2023. Based on these findings, targeted management interventions were proposed for this river system. Thus, this study, conducted by integrating remote sensing technology with automated analytical algorithms, enhances our understanding of fluvial dynamics and is crucial for river restoration and management. This study establishes a critical baseline for future research on the Jhelum River's morphodynamics and human-induced modifications.

Keywords

centerline migration / deposition / erosion / geospatial analysis / Jhelum / Matlab / morphodynamics / river width / Sentinel-2

References

[1] Anderson, E. P., Jackson, S., Tharme, R. E., Douglas, M., Flotemersch, J. E., Zwarteveen, M., Lokgariwar, C., Montoya, M., Wali, A., Tipa, G. T., Jardine, T. D., Olden, J. D., Cheng, L., Conallin, J., Cosens, B., Dickens, C., Garrick, D., Groenfeldt, D., Kabogo, J., … Arthington, A. H. (2019). Understanding rivers and their social relations: A critical step to advance environmental water management. WIREs Water, 6(6), e1381. https://doi.org/10.1002/wat2.1381

[2] Baki, A. B. M., & Gan, T. Y. (2012). Riverbank migration and island dynamics of the braided Jamuna River of the Ganges-Brahmaputra basin using multi-temporal Landsat images. Quaternary International, 263, 148-161. https://doi.org/10.1016/j.quaint.2012.03.016

[3] Bañales-Seguel, C., Salazar, A., & Mao, L. (2020). Hydro-morphological characteristics and recent changes of a nearly pristine river system in Chilean Patagonia: The exploradores river network. Journal of South American Earth Sciences, 98, 102444. https://doi.org/10.1016/j.jsames.2019.102444

[4] Bozzolan, E., Brenna, A., Surian, N., Carbonneau, P., & Bizzi, S. (2023). Quantifying the impact of spatiotemporal resolution on the interpretation of fluvial geomorphic feature dynamics from Sentinel 2 imagery: An application on a braided river reach in Northern Italy. Water Resources Research, 59(12), e2023WR034699. https://doi.org/10.1029/2023WR034699

[5] Bradley, C., & Smith, D. G. (1984). Meandering channel response to altered flow regime: Milk River, Alberta and Montana. Water Resources Research, 20(12), 1913-1920. https://doi.org/10.1029/WR020i012p01913

[6] Camporeale, C., Perucca, E., Ridolfi, L., & Gurnell, A. M. (2013). Modeling the interactions between river morphodynamics and riparian vegetation. Reviews of Geophysics, 51(3), 379-414.

[7] Carbonneau, P., & Piégay, H. (2012). Fluvial remote sensing for science and management (p. 458). Wiley-Blackwell.

[8] Church, M. (2006). Bed material transport and the morphology of alluvial river channels. Annual Review of Earth and Planetary Sciences, 34(1), 325-354.

[9] Church, M. (2015). Channel Stability: Morphodynamics and the Morphology of Rivers. In P. Rowiński, & A. Radecki-Pawlik (Eds.), Rivers - physical, fluvial and environmental processes. Geoplanet: Earth and planetary sciences. Springer. https://doi.org/10.1007/978-3-319-17719-9_12

[10] Dewan, A., Corner, R., Saleem, A., Rahman, M. M., Haider, M. R., Rahman, M. M., & Sarker, M. H. (2017). Assessing channel changes of the Ganges-Padma River system in Bangladesh using Landsat and hydrological data. Geomorphology, 276, 257-279.

[11] Gilvear, D. J., Davids, C., & Tyler, A. N. (2004). The use of remotely sensed data to detect channel hydromorphology; River Tummel, Scotland. River Research and Applications, 20(7), 795-811. https://doi.org/10.1002/rra.792

[12] Grabowski, R. C., Surian, N., & Gurnell, A. M. (2014). Characterizing geomorphological change to support sustainable river restoration and management. Wiley Interdisciplinary Reviews: Water, 1(5), 483-512.

[13] Gupta, A., Hock, L., Xiaojing, H., & Ping, C. (2002). Evaluation of part of the Mekong River using satellite imagery. Geomorphology, 44(3-4), 221-239.

[14] Guchhait, S. K., Islam, A., Ghosh, S., Das, B. C., & Maji, N. K. (2016). Role of hydrological regime and floodplain sediments in channel instability of the Bhagirathi River, Ganga-Brahmaputra Delta, India. Physical Geography, 37(6), 476-510.

[15] Gurnell, A., Lee, M., & Souch, C. (2007). Urban rivers: Hydrology, geomorphology, ecology and opportunities for change. Geography Compass, 1(5), 1118-1137. https://doi.org/10.1111/j.1749-8198.2007.00058.x

[16] Hohensinner, S., Hauer, C., & Muhar, S. (2018). River morphology, channelization, and habitat restoration. In Riverine ecosystem management: Science for governing towards a sustainable future (pp. 41-65). Springer International Publishing.

[17] Hooke, J. M., & Redmond, C. E. (1989). River-channel changes in England and Wales. Water and Environment Journal, 3(4), 328-335.

[18] Isikdogan, F., Bovik, A. C., & Passalacqua, P. (2017). Surface water mapping by deep learning. IEEE journal of selected topics in applied earth observations and remote sensing, 10(11), 4909-4918.

[19] Jeelani, G., Deshpande, R. D., Shah, R. A., & Hassan, W. (2017). Influence of southwest monsoons in the Kashmir Valley, western Himalayas. Isotopes in Environmental and Health Studies, 53(4), 400-412.

[20] Jeje, L. K., & Ikeazota, S. I. (2002). Effects of urbanisation on channel morphology: The case of Ekulu River in Enugu, south eastern Nigeria. Singapore Journal of Tropical Geography, 23(1), 37-51.

[21] Kang, C. S., & Kanniah, K. D. (2022). Land use and land cover change and its impact on river morphology in Johor River Basin, Malaysia. Journal of Hydrology: Regional Studies, 41, 101072.

[22] Kayitesi, N. M., Guzha, A. C., & Mariethoz, G. (2022). Impacts of land use land cover change and climate change on river hydro-morphology-a review of research studies in tropical regions. Journal of Hydrology, 615, 128702. https://doi.org/10.1016/j.jhydrol.2022.128702

[23] Kiss, T., & Blanka, V. (2012). River channel response to climate-and human-induced hydrological changes: Case study on the meandering Hernád River, Hungary. Geomorphology, 175-176, 115-125.

[24] Kong, D., Latrubesse, E. M., Miao, C., & Zhou, R. (2020). Morphological response of the Lower Yellow River to the operation of Xiaolangdi Dam, China. Geomorphology, 350, 106931.

[25] Kryniecka, K., Magnuszewski, A., & Radecki-Pawlik, A. (2022). Sentinel-1 satellite radar images: A new source of information for study of river channel dynamics on the Lower Vistula River, Poland. Remote Sensing, 14(5), 1056.

[26] Leopold, L. B., & Maddock, T. (1953). The hydraulic geometry of stream channels and some physiographic implications (Vol. 252). US Government Printing Office.

[27] Liu, D., & Yu, J. (2009). Otsu method and K-means. 2009 Ninth International Conference on Hybrid Intelligent Systems (Vol. 1, p. 344-349). IEEE.

[28] Martha, T. R., Sharma, A., & Kumar, K. V. (2015). Development of meander cutoffs—a multi-temporal satellite-based observation in parts of Sindh River, Madhya Pradesh, India. Arabian Journal of Geosciences, 8(8), 5663-5668.

[29] McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425-1432. https://doi.org/10.1080/01431169608948714

[30] Monegaglia, F., Zolezzi, G., Güneralp, I., Henshaw, A. J., & Tubino, M. (2018). Automated extraction of meandering river morphodynamics from multitemporal remotely sensed data. Environmental Modelling & Software, 105, 171-186.

[31] Nádudvari, Á., Czajka, A., Wyżga, B., Zygmunt, M., & Wdowikowski, M. (2023). Patterns of recent changes in channel morphology and flows in the Upper and Middle Odra River. Water, 15(2), 370. https://doi.org/10.3390/w15020370

[32] Ninfo, A., Ciavola, P., & Billi, P. (2018). The Po Delta is restarting progradation: Geomorphological evolution based on a 47-years Earth Observation dataset. Scientific Reports, 8(1), 3457.

[33] Orengo, H. A., & Petrie, C. A. (2017). Large-scale, multi-temporal remote sensing of palaeo-river networks: A case study from northwest India and its implications for the Indus Civilisation. Remote Sensing, 9(7), 735.

[34] Perucca, E., Camporeale, C., & Ridolfi, L. (2007). Significance of the riparian vegetation dynamics on meandering river morphodynamics. Water Resources Research, 43(3).

[35] Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (2007). Numerical recipes: The art of scientific computing (3rd ed.). Cambridge University Press.

[36] Roshni, T., Himayoun, D., & Azim, M. D. (2021). Morphological changes of flood plain reach of Jhelum River, India, from 1984 to 2018. Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation, pp. 251-266.

[37] Rowland, J. C., Shelef, E., Pope, P. A., Muss, J., Gangodagamage, C., Brumby, S. P., & Wilson, C. J. (2016). A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery. Remote Sensing of Environment, 184, 212-228. https://doi.org/10.1016/j.rse.2016.07.005.

[38] Schwenk, J., Khandelwal, A., Fratkin, M., Kumar, V., & Foufoula-Georgiou, E. (2017). High spatiotemporal resolution of river planform dynamics from Landsat: The RivMAP toolbox and results from the Ucayali River. Earth and Space Science, 4(2), 46-75. https://doi.org/10.1002/2016EA000196

[39] Shahrood, A. J., Menberu, M. W., Darabi, H., Rahmati, O., Rossi, P. M., Kløve, B., & Haghighi, A. T. (2020). RiMARS: An automated river morphodynamics analysis method based on remote sensing multispectral datasets. Science of the Total Environment, 719, 137336.

[40] The MathWorks Inc. (2022). MATLAB version: 9.13.0 (R2022b), Natick, Massachusetts: The MathWorks Inc. https://www.mathworks.com

[41] Thorne, C. R., Russell, A. P. G., & Alam, M. K. (1993). Planform pattern and channel evolution of the Brahmaputra River, Bangladesh. Geological Society, London, Special Publications, 75(1), 257-276. https://doi.org/10.1144/gsl.sp.1993.075.01.16

[42] Ullmann, T., Büdel, C., Baumhauer, R., & Padashi, M. (2016). Sentinel-1 SAR data revealing fluvial morphodynamics in damghan (Iran): Amplitude and coherence change detection. International Journal of Earth Science and Geophysics, 2(1).

[43] Wang, C., Wang, D., Wang, H., & Dong, R. (2011). Impacts of urbanisation on river systems and their functions in Yanggong River watershed of Lijiang City. International Journal of Sustainable Development & World Ecology, 18(6), 498-502.

[44] Yang, X., Damen, M. C. J., & Van Zuidam, R. A. (1999). Satellite remote sensing and GIS for the analysis of channel migration changes in the active Yellow River Delta, China. International Journal of Applied Earth Observation and Geoinformation, 1(2), 146-157.

[45] Zinger, J. A., Rhoads, B. L., & Best, J. L. (2011). Extreme sediment pulses generated by bend cutoffs along a large meandering river. Nature Geoscience, 4(10), 675-678.

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2026 The Author(s). River published by Wiley-VCH GmbH on behalf of China Institute of Water Resources and Hydropower Research (IWHR).