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

被引:8
|
作者
Singh, Saurabh [1 ]
Meraj, Gowhar [1 ,2 ]
Kumar, Pankaj [3 ]
Singh, Suraj Kumar [1 ]
Kanga, Shruti [4 ]
Johnson, Brian Alan [3 ]
Prajapat, Deepak Kumar [1 ]
Debnath, Jatan [5 ]
Sahariah, Dhrubajyoti [5 ]
机构
[1] Suresh Gyan Vihar Univ, Ctr Climate Change & Water Res, Jaipur 302017, Rajasthan, India
[2] Univ Tokyo, Grad Sch Agr & Life Sci, 1-1-1 Yayoi, Tokyo 1138654, Japan
[3] Inst Global Environm Strategies, Hayama, Kanagawa 2400115, Japan
[4] Cent Univ, Sch Environm & Earth Sci, Dept Geog, Bathinda 151401, Punjab, India
[5] Gauhati Univ, Dept Geog, Jalukbari 781014, Assam, India
关键词
illegal sand mining; riverbank erosion; riverbank accretion; DSAS; WATER INDEX NDWI; BANK EROSION; BRAHMAPUTRA; STABILITY; ACCRETION; VULNERABILITY; DYNAMICS; BASIN; REACH;
D O I
10.3390/w15091793
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Analysis of ecological effects of comprehensive treatment in the Tarim River Basin using remote sensing data
    Tan KelongaWang XiaofengbGao Huijuna a Aerial Photogrammetry and Remote Sensing Bureau of China CoalXian China b College of Earth Science ResourcesChangan UniversityXian China
    MiningScienceandTechnology, 2011, 21 (04) : 519 - 524
  • [43] Spatio-temporal analysis of river channel pattern in lower course of River Ravi using GIS and remote sensing
    Noor-ul Huda
    Shakeel Mahmood
    Rida Sajjid
    Muhammad Irfan Ahamad
    Applied Geomatics, 2023, 15 : 759 - 772
  • [44] Spatio-temporal analysis of river channel pattern in lower course of River Ravi using GIS and remote sensing
    Huda, Noor-ul
    Mahmood, Shakeel
    Sajjid, Rida
    Ahamad, Muhammad Irfan
    APPLIED GEOMATICS, 2023, 15 (03) : 759 - 772
  • [45] Application of remote sensing and GIS in sinuosity and river shifting analysis of the Ganges River in Uttarakhand plains
    Dhari, Saba
    Arya, D. S.
    Murumkar, A. R.
    APPLIED GEOMATICS, 2015, 7 (01) : 13 - 21
  • [46] Morphometric analysis of Morar River Basin, Madhya Pradesh, India, using remote sensing and GIS techniques
    Prafull Singh
    Jay Krishna Thakur
    U. C. Singh
    Environmental Earth Sciences, 2013, 68 : 1967 - 1977
  • [47] Morphometric analysis of Morar River Basin, Madhya Pradesh, India, using remote sensing and GIS techniques
    Singh, Prafull
    Thakur, Jay Krishna
    Singh, U. C.
    ENVIRONMENTAL EARTH SCIENCES, 2013, 68 (07) : 1967 - 1977
  • [48] Monitoring Shoreline Change using Remote Sensing and GIS: A Case Study of Padang Coastal Area, Indonesia
    Umar, Zahrul
    Akib, Wan Abdul Aziz Wan Mohd
    Ahmad, Anuar
    2013 IEEE 9TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS (CSPA), 2013, : 280 - 284
  • [49] Geomorphological analysis for inventory of degraded lands in a river basin of basaltic terrain using remote sensing and GIS
    G P OBI Reddy
    A K Maji
    C V Srinivas
    M Velayutham
    Journal of the Indian Society of Remote Sensing, 2002, 30 (1-2) : 15 - 31
  • [50] Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin
    Ogbue, Chukwuka
    Igboeli, Emeka
    Ajaero, Chukwuedozie
    Ochege, Friday Uchenna
    Yahaya, Ibrahim Inuwa
    Yeneayehu, Fenetahun
    You, Yuan
    Wang, Yongdong
    ECOLOGICAL INDICATORS, 2024, 158