Decoding Chambal River Shoreline Transformations: A Comprehensive Analysis Using Remote Sensing, GIS, and DSAS

Illegal sand mining has been identified as a significant cause of harm to riverbanks, as it leads to excessive removal of sand from rivers and negatively impacts river shorelines. This investigation aimed to identify instances of shoreline erosion and accretion at illegal sand mining sites along the Chambal River. These sites were selected based on a report submitted by the Director of the National Chambal Sanctuary (NCS) to the National Green Tribunal (NGT) of India. The digital shoreline analysis system (DSAS v5.1) was used during the elapsed period from 1990 to 2020. Three statistical parameters used in DSAS—the shoreline change envelope (SCE), endpoint rate (EPR), and net shoreline movement (NSM)—quantify the rates of shoreline changes in the form of erosion and accretion patterns. To carry out this study, Landsat imagery data (T.M., ETM+, and OLI) and Sentinel-2A/MSI from 1990 to 2020 were used to analyze river shoreline erosion and accretion. The normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) were used to detect riverbanks in satellite images. The investigation results indicated that erosion was observed at all illegal mining sites, with the highest erosion rate of 1.26 m/year at the Sewarpali site. On the other hand, the highest accretion was identified at the Chandilpura site, with a rate of 0.63 m/year. We observed significant changes in river shorelines at illegal mining and unmined sites. Erosion and accretion at unmined sites are recorded at −0.18 m/year and 0.19 m/year, respectively, which are minor compared to mining sites. This study’s findings on the effects of illegal sand mining on river shorelines will be helpful in the sustainable management and conservation of river ecosystems. These results can also help to develop and implement river sand mining policies that protect river ecosystems from the long-term effects of illegal sand mining.

[1]  S. Hashimoto,et al.  Assessment of Ecosystem Service Value in Response to LULC Changes Using Geospatial Techniques: A Case Study in the Merbil Wetland of the Brahmaputra Valley, Assam, India , 2023, ISPRS Int. J. Geo Inf..

[2]  A. Saikia,et al.  Shifting Sands: Assessing Bankline Shift Using an Automated Approach in the Jia Bharali River, India , 2023, Land.

[3]  Suraj Kumar,et al.  Assessing the impacts of current and future changes of the planforms of River Brahmaputra on its land use-land cover , 2023, Geoscience Frontiers.

[4]  B. Kumar,et al.  Turbulence structure and bank erosion process in a dredged channel , 2023, River Research and Applications.

[5]  M. Farooq,et al.  Geospatial modeling to assess the past and future land use-land cover changes in the Brahmaputra Valley, NE India, for sustainable land resource management , 2022, Environmental Science and Pollution Research.

[6]  D. Bhatpuria,et al.  Assessment of Riverbank Erosion Hotspots along the Mekong River in Cambodia Using Remote Sensing and Hazard Exposure Mapping , 2022, Water.

[7]  S. K. Singh,et al.  Management of Landslides in a Rural–Urban Transition Zone Using Machine Learning Algorithms—A Case Study of a National Highway (NH-44), India, in the Rugged Himalayan Terrains , 2022, Land.

[8]  L. H. Cammeraat,et al.  The environmental impacts of river sand mining. , 2022, The Science of the total environment.

[9]  M. Farooq,et al.  Vulnerability and Risk Assessment to Climate Change in Sagar Island, India , 2022, Water.

[10]  Shuling Zeng,et al.  A numerical investigation of slope stability influenced by the combined effects of reservoir water level fluctuations and precipitation: A case study of the Bianjiazhai landslide in China , 2021, Engineering Geology.

[11]  Md. Nazrul Islam,et al.  Modeling the sediment retention and ecosystem provisioning services in the Kashmir valley, India, Western Himalayas , 2021, Modeling Earth Systems and Environment.

[12]  Logesh Natarajan,et al.  Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India , 2021, Earth Science Informatics.

[13]  Xiaoming Xu,et al.  Spatiotemporal Evolution Trajectory of Channel Morphology and Controlling Factors of Yongding River, Beijing, China , 2021, Water.

[14]  Md. Nazrul Islam,et al.  Modeling on comparison of ecosystem services concepts, tools, methods and their ecological-economic implications: a review , 2021, Modeling Earth Systems and Environment.

[15]  R. Upadhyay Markers for Global Climate Change and Its Impact on Social, Biological and Ecological Systems: A Review , 2020 .

[16]  Mehmet Ali Dereli,et al.  Assessment of Shoreline Changes using Historical Satellite Images and Geospatial Analysis along the Lake Salda in Turkey , 2020, Earth Science Informatics.

[17]  Bruce L. Webber,et al.  The ecological importance of crocodylians: towards evidence‐based justification for their conservation , 2020, Biological reviews of the Cambridge Philosophical Society.

[18]  A. Azad,et al.  Tidal river management for sustainable agriculture in the Ganges-Brahmaputra delta: Implication for land use policy , 2020 .

[19]  Thanh Duc Dang,et al.  Morphological change assessment from intertidal to river-dominated zones using multiple-satellite imagery: A case study of the Vietnamese Mekong Delta , 2020 .

[20]  M. Caldara,et al.  Channel Changes and Controlling Factors over the Past 150 Years in the Basento River (Southern Italy) , 2020 .

[21]  S. Darby,et al.  River bank instability from unsustainable sand mining in the lower Mekong River , 2020, Nature Sustainability.

[22]  C. N. X. Quang,et al.  Sand mining in the Mekong Delta revisited - current scales of local sediment deficits , 2019, Scientific Reports.

[23]  N. Chatterjee,et al.  Effect of instream sand mining on hydraulic variables of bedload transport and channel planform: an alluvial stream in South Bengal basin, India , 2019, Environmental Earth Sciences.

[24]  Steven M. De Jong,et al.  Monitoring river morphology & bank erosion using UAV imagery - A case study of the river Buëch, Hautes-Alpes, France , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[25]  Nan Xu Detecting Coastline Change with All Available Landsat Data over 1986–2015: A Case Study for the State of Texas, USA , 2018 .

[26]  Huiming Tang,et al.  Stability analysis of stratified rock slopes with spatially variable strength parameters: the case of Qianjiangping landslide , 2017, Bulletin of Engineering Geology and the Environment.

[27]  M. Ashraf,et al.  Geospatial Techniques for Assessment of Bank Erosion and Accretion in the Marala Alexandria Reach of the River Chenab, Pakistan , 2017 .

[28]  S. Biswas,et al.  Bank erosion and accretion dynamics explored by GIS techniques in lower Ramganga river, Western Uttar Pradesh, India , 2017, Spatial Information Research.

[29]  P. Ghosh,et al.  Sand quarrying activities in an alluvial reach of Damodar River, Eastern India: towards a geomorphic assessment , 2016 .

[30]  Jae Kang Lee,et al.  Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree , 2016, Sensors.

[31]  R. Tošić,et al.  Assessment of Bank Erosion, Accretion and Channel Shifting Using Remote Sensing and GIS: Case Study – Lower Course of the Bosna River , 2016 .

[32]  Shakil Ahmad Romshoo,et al.  Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya , 2015, Natural Hazards.

[33]  S. De,et al.  A proposed method of bank erosion vulnerability zonation and its application on the River Haora, Tripura, India , 2014 .

[34]  D. Padmalal,et al.  Sand Mining: Environmental Impacts and Selected Case Studies , 2014 .

[35]  Thomas J. Wilbanks,et al.  Climate Change and Infrastructure, Urban Systems, and Vulnerabilities , 2014 .

[36]  A. B. Baki,et al.  Riverbank migration and island dynamics of the braided Jamuna River of the Ganges–Brahmaputra basin using multi-temporal Landsat images , 2012 .

[37]  Mao-sheng Zhang,et al.  Impact of reservoir impoundment-caused groundwater level changes on regional slope stability: a case study in the Loess Plateau of Western China , 2012, Environmental Earth Sciences.

[38]  M. Kleinhans,et al.  Evolution of a bifurcation in a meandering river with adjustable channel widths, Rhine delta apex, The Netherlands , 2011 .

[39]  Zhengyi Yao,et al.  Bank erosion and accretion along the Ningxia–Inner Mongolia reaches of the Yellow River from 1958 to 2008 , 2011 .

[40]  B. Anderson,et al.  The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones , 2007 .

[41]  T. Oguchi,et al.  Channel braiding and stability of the Brahmaputra River, Bangladesh, since 1967: GIS and remote sensing analyses , 2007 .

[42]  Hanqiu Xu Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[43]  S. Carpenter,et al.  Social-Ecological Resilience to Coastal Disasters , 2005, Science.

[44]  A. K. Sarma,et al.  Estimation of bank erosion in The River Brahmaputra near Agyathuri by using Geographic Information System , 2005 .

[45]  C. Chatterjee,et al.  Erosion study of a part of Majuli River-Island using remote sensing data , 2003 .

[46]  David Gilvear,et al.  A GIS‐based approach to mapping probabilities of river bank erosion: regulated River Tummel, Scotland , 2000 .

[47]  D. Lawler,et al.  Bank erosion events and processes in the Upper Severn basin , 1997 .

[48]  G. Kondolf PROFILE: Hungry Water: Effects of Dams and Gravel Mining on River Channels , 1997, Environmental management.

[49]  S. K. McFeeters The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[50]  G. Kondolf Geomorphic and environmental effects of instream gravel mining , 1994 .

[51]  B. Collins,et al.  Gravel transport, gravel harvesting, and channel-bed degradation in rivers draining the southern olympic mountains, Washington, U.S.A. , 1989 .

[52]  M. Selby Book reviews : Morisawa, M. and Hack, J.T. editors, 1985: Tectonic geomorphology. Proceedings of the 15th Annual Binghamton Geomorphology Symposium. September 1984. Boston: Allen and Unwin. xiv + 390 pp. £25.00 , 1986 .

[53]  P. Klingeman,et al.  Bedload and Size Distribution in Paved Gravel-Bed Streams , 1983 .

[54]  J. Hooke Magnitude and distribution of rates of river bank erosion , 1980 .

[55]  M. Gordon Wolman,et al.  Factors Influencing Erosion of a Cohesive River Bank , 1959, American Journal of Science.

[56]  M. Wolman,et al.  Downstream effects of dams on alluvial rivers. , 1984 .