The Impact of Coal Exploitation on Tidal Flat Changes, an Investigation Using Remote Sensing Data in Vietnam

• Autorzy: Pham Thi Lan , Tong Si Son , Le Thi Thu Ha , Le Thi Le , Hoang Huu Duc

Identyfikatory

DOI

10.29227/IM-2021-02-

• Języki publikacji: EN

Abstrakty

EN

Tidal flat plays a crucial role in socio-economic development and ecological environment. Tidal flats in Ha Long-Cam Pha in Vietnam are impacted by human activities, especially coal mining activities. Using remote sensing data is able to detect, extract, and monitor the changes of tidal flats and exploited coal mine area with multi-temporal, in various scales, and for a large coverage. This study aims to investigate the impact of coal mining activities on the changes of tidal flats using remote sensing in Cam Pha, Ha Long, one of the biggest coal basins in Vietnam. Digital Elevation Models (DEMs) of tidal flats constructed by Landsat satellite images acquired in years 1989, 2001, and 2014 are compared to determine the volume changes. Besides, coal mining activities including coal production, waste rock dump area, and the expansion of open coal mine during the period 1989-2014 are investigated using correspondent Landsat images and the reports from the coal mine companies in the study area. Sediment samples in tidal flats are analyzed to determine the origin of the sediments. As the results, organic matter in the tidal flats is dominant with the concentration of 459 g/kg to 607 g/kg, which is evidence for the impact of coal exploitation on the coastal environment. In addition, the relationship between coal mine activities and tidal flat variation is well observed in this study.

Słowa kluczowe

EN

tidal flat; coal; remote Sensing

PL

przypływy; węgiel; teledetekcja

• Wydawca: Polskie Towarzystwo Przeróbki Kopalin
• Czasopismo: Inżynieria Mineralna
• Rocznik: 2021
• Tom: no. 2
• Strony: 521--532
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Pham Thi Lan

• Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam

autor

Tong Si Son

• University of Science and Technology of Hanoi, VAST, Hanoi, Vietnam

autor

Le Thi Thu Ha

• Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam

autor

Le Thi Le

• Thu Dau Mot University, Binh Duong, Vietnam

autor

Hoang Huu Duc

• Ho Chi Minh University of Natural Resources and Environment, Ho Chi Minh City, Vietnam

Bibliografia

• 1. Gao, S., Geomorphology and sedimentology of tidal flat, Coastal Wetlands, 2018.
• 2. Ryu, J.H., J.K. Choi, and Y.K. Lee, 2014. Potential of remote sensing in management of tidal flats: A case study of thematic mapping in the Korean tidal flats, Ocean and Coastal Management, 102(part B): 458-470, https://doi.org//10.1016/j.ocecoaman.2014.03.003.
• 3. Kirwan, M.L., G.R. Guntenspergen, A. D’Alpaos, J.T. Morris, S.M. Mudd, and S. Temmerman, 2010. Limits on the adaptability of coastal marshes to rising sea level, Geophysical Research Letters, 37(23), https://doi.org//10.1029/2010GL045489.
• 4. Suwarsono, N., Suryo Haryani, I. Prasasti, H.M. Listi Fitriana Priyatna, and M. Rokhis Khomarudin, 2017. Detecting the area damage due to coal mining activities using Landsat multitemporal (Case Study: Kutai Kartanegara, East Kalimantan), International Journal of Remote Sensing and Earth Science, 14(2): 151-158.
• 5. Tong, S.S., J.P. Deroin, and T.L. Pham, 2020. An optimal waterline approach for studying tidal flat morphological changes using remote sensing data: A case of the northern coast of Vietnam, Estuarine, Coastal and Shelf Science, 236(5): https://doi.org//10.1016/j.ecss.2020.106613.
• 6. Koruyan, K., A.H. Deliormanli, Z. Karaca, M. Momayez, H. Lu, and E. Yalçin, 2012. Remote sensing in management of mining land and proximate habitat Determining the expansion of marble quarries, The Journal of The Southern African Institute of Mining and Metallurgy, vol. 112(7): 667-672.
• 7. Charou, E., M. Stefouli, D. Dimitrakopoulos, E. Vasiliou, and O. D. Mavrantza, 2010. Using remote sensing to assess impact of mining activities on land and water resources, Mine Water and the Environment, 29(1): 45-52, https://doi.org//10.1007/s10230-010-0098-0.
• 8. Kim, Y., D.H. Jang, N.W. Park, and H.Y. Yoo, 2016. Assessment of landform changes in Baramarae tidal flat, Korea using combined analysis of multi-temporal remote sensing images and grain size measurement data, in Journal of Marine Science and Technology (Taiwan), 24(6): 1070-1080. https://doi.org//10.6119/JMST-016-0729-1.
• 9. Heygster, G., J. Dannenberg, and J. Notholt, 2010. Topographic mapping of the german tidal flats analyzing SAR images with the waterline method, IEEE Transactions on Geoscience and Remote Sensing, 48(3): 1019-1030, https://doi.org//10.1109/TGRS.2009.2031843.
• 10. Lan, P.T., T.S. Son, K. Gunasekara, N.T. Nhan, and L.P. Hien, 2013. Application of Remote Sensing and GIS technology for monitoring coastal changes in estuary area of the Red river system, Vietnam, Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography, 31(6): 529–538, https://doi.org//10.7848/ksgpc.2013.31.6-2.529.
• 11. Ryu, J.-H., J.-S. Won, and K. Duck Min, 2002. Waterline extraction from Landsat TM data in a tidal flat A case study in Gomso Bay, Korea, Remote Sensing of Environment, 83(3): 442-456, https://doi.org/10.1016/S0034-4257(02)00059-7.
• 12. GreenFacts, 2019. Natural Organic Matter. https://www.greenfacts.org/glossary/mno/naturalorganic-matter-NOM.htm.
• 13. Lan, T.P., Son, P.N., Nghia, V.N., Huong, V.D., Long, D.D., Nhung, H.T.V., Trang, T.T.N., Huan, V.T., 2020. Establishment of land cover map using objectoriented classification method for VNREDSat-1 data. Journal of Mining and Earth Sciences, 61(2): 134-144, DOI:10.46326/JMES.2020.61(2).15.
• 14. Lan, T.P., Ha, T.T.L., Luong, T.H., Hung, V.N., 2017. A Hierarchical object oriented method for land use classification of LANDSAT Imagery in Thai Thuy district, Thai Binh province. Journal of Mining and Earth Sciences, 58(4): 43-50.
• 15. Zhu, C., Z. Zhang, H. Wang, J. Wang, and S. Yang, 2020. Assessing soil organic matter content in a coal mining area through spectral variables of different numbers of dimensions, Sensors (Switzerland), 20(6), https://doi.org//10.3390/s20061795.
• 16. Stanley, P.S., 2002. Coal - A Complex Natural Resource, U.S. Geological Survey.
• 17. Christie, M.C., Dyer, K.R., Turner, P., 2002. Sediment Flux and Bed Level Measurements from a Macro Tidal Mudflat, Estuarine, Coastal and Shelf Science, 49(5): 667-688.
• 18. Eisma, D., Intertidal Deposits: River Mouths, Tidal Flats and Coastal Lagoons, Marine Science Series, CRC Press, Boca Raton, 1997, 507.
• 19. Hir, P.L., W., Roberts, O., Cazaillet, M., Christiem, P., Bassoullet, Bacher, C., 2000. Characterization of intertidal flat hydrodynamics, Continental Shelf Research, 20(12-13): 1433-1459. https://doi.org/10.1016/S0278-4343(00)00031-5

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).