Analysis of Multi-Temporal Shoreline Changes Due to a Harbor Using Remote Sensing Data and GIS Techniques

被引:7
|
作者
Zoysa, Sanjana [1 ]
Basnayake, Vindhya [2 ]
Samarasinghe, Jayanga T. [3 ]
Gunathilake, Miyuru B. [4 ,5 ]
Kantamaneni, Komali [6 ]
Muttil, Nitin [7 ,8 ]
Pawar, Uttam [9 ]
Rathnayake, Upaka [10 ]
机构
[1] Sri Lanka Inst Informat Technol, Fac Engn, Dept Civil Engn, Malabe 10115, Sri Lanka
[2] Univ Twente, Dept Water Engn & Management, NL-7522 NB Enschede, Netherlands
[3] Univ Texas El Paso, Dept Earth Environm & Resource Sci, El Paso, TX 79968 USA
[4] Norwegian Inst Bioecon & Res, Hydrol & Aquat Environm, Environm & Nat Resources, N-1433 As, Norway
[5] Univ Oulu, Fac Technol, Water Energy & Environm Engn Res Unit, POB 8000, FI-90014 Oulu, Finland
[6] Univ Cent Lancashire, Sch Engn, Preston PR1 2HE, England
[7] Victoria Univ, Inst Sustainable Ind & Liveable Cities, POB 14428, Melbourne, Vic 8001, Australia
[8] Victoria Univ, Coll Sport Hlth & Engn, POB 14428, Melbourne, Vic 8001, Australia
[9] HPT Arts & RYK Sci Coll, Dept Geog, Nasik 422005, Maharashtra, India
[10] Atlantic Technol Univ, Fac Engn & Design, Dept Civil Engn & Construct, Sligo F91 YW50, Ireland
关键词
digital shoreline analysis system (DSAS); Landsat; net shoreline movement (NSM); normalized difference water index (NDWI); Oluvil harbor; shoreline change envelope (SCE); SATELLITE IMAGERY; COASTLINE EXTRACTION; COASTAL EVOLUTION; NILE DELTA; CONSTRUCTION; POSITION; HAZARDS; TSUNAMI;
D O I
10.3390/su15097651
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coastal landforms are continuously shaped by natural and human-induced forces, exacerbating the associated coastal hazards and risks. Changes in the shoreline are a critical concern for sustainable coastal zone management. However, a limited amount of research has been carried out on the coastal belt of Sri Lanka. Thus, this study investigates the spatiotemporal evolution of the shoreline dynamics on the Oluvil coastline in the Ampara district in Sri Lanka for a two-decade period from 1991 to 2021, where the economically significant Oluvil Harbor exists by utilizing remote sensing and geographic information system (GIS) techniques. Shorelines for each year were delineated using Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Operational Land Imager images. The Normalized Difference Water Index (NDWI) was applied as a spectral value index approach to differentiate land masses from water bodies. Subsequently, the Digital Shoreline Analysis System (DSAS) tool was used to assess shoreline changes, including Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR). The results reveal that the Oluvil coast has undergone both accretion and erosion over the years, primarily due to harbor construction. The highest SCE values were calculated within the Oluvil harbor region, reaching 523.8 m. The highest NSM ranges were recorded as -317.1 to -81.3 m in the Oluvil area and 156.3-317.5 m in the harbor and its closest point in the southern direction. The maximum rate of EPR was observed to range from 3 m/year to 10.7 m/year towards the south of the harbor, and from -10.7 m/year to -3.0 m/year towards the north of the harbor. The results of the LRR analysis revealed that the rates of erosion anomaly range from -3 m/year to -10 m/year towards the north of the harbor, while the beach advances at a rate of 3 m/year to 14.3 m/year towards the south of the harbor. The study area has undergone erosion of 40 ha and accretion of 84.44 ha. These findings can serve as valuable input data for sustainable coastal zone management along the Oluvil coast in Sri Lanka, safeguarding the coastal habitats by mitigating further anthropogenic vulnerabilities.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Shoreline Change Analysis with Deep Learning Semantic Segmentation Using Remote Sensing and GIS Data
    Park, Seula
    Song, Ahram
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2024, 28 (02) : 928 - 938
  • [32] Mapping and Electronic Publishing of Shoreline Changes using UAV Remote Sensing and GIS
    N. Shenbagaraj
    K. Senthil kumar
    A. Mohamed Rasheed
    J. Leostalin
    M. Naresh Kumar
    [J]. Journal of the Indian Society of Remote Sensing, 2021, 49 : 1769 - 1777
  • [33] Mapping and Electronic Publishing of Shoreline Changes using UAV Remote Sensing and GIS
    Shenbagaraj, N.
    Senthil Kumar, K.
    Rasheed, A. Mohamed
    Leostalin, J.
    Kumar, M. Naresh
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2021, 49 (08) : 1769 - 1777
  • [34] Monitoring shoreline changes and aeolian sand encroachment, Nasser Lake, Egypt, using remote sensing and GIS techniques
    Shaimaa M. El-Hadidy
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [35] Monitoring shoreline changes and aeolian sand encroachment, Nasser Lake, Egypt, using remote sensing and GIS techniques
    El-Hadidy, Shaimaa M.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (24)
  • [36] Detection of shoreline changes for tideland areas using multi-temporal satellite images
    Chen, LC
    Rau, JY
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (17) : 3383 - 3397
  • [37] Analysis on the Sedimentary Environment Change Induced by Typhoon in the Sacheoncheon, Gangneung using Multi-temporal Remote Sensing Data
    Park, No-Wook
    Jang, Dong-Ho
    Chi, Kwang-Hoon
    [J]. JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2006, 27 (01): : 83 - 94
  • [38] Feasibility analysis of airfield selection based on multi-temporal and multi-mission remote sensing data
    Liu, Jiaxin
    Cui, Xiangbin
    Tian, Yixiang
    Sun, Bo
    Markov, Alexey
    Lv, Da
    Hai, Gang
    Qiao, Gang
    Feng, Tiantian
    Li, Rongxing
    [J]. 2019 10TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2019,
  • [39] Monitoring of desertification process in Karnataka state of India using multi-temporal remote sensing and ancillary information using GIS
    Tripathy, GK
    Ghosh, TK
    Shah, SD
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (12) : 2243 - 2257