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Assessment of surface water pollutant models of estuaries and coastal zone of Quang Ninh – Hai Phong using Spot-5 images

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PL
Ocena modeli zanieczyszczeń wód powierzchniowych w ujściach rzek i strefy przybrzeżnej Quang Ninh – Hai Phong przy wykorzystaniu obrazów Spot-5
Języki publikacji
EN
Abstrakty
EN
The coastal zone and estuaries of Quang Ninh and Hai Phong have great potential not only for economic development but also for protection and conservation of biodiversity and ecosystem. Nowadays, due to industrial, agricultural and anthropogenic activities signs of water pollution in the region have been found. The level of surface water pollution can be determined by traditional methods through observatory stations. However, a traditional approach to determine water contamination is discontinuous, and thereby makes pollution assessment of the entire estuary very difficult. Nowadays, remote sensing technology has been developed and widely applied in many fields, for instance, in monitoring water environments. Remote sensing data combined with information from in-situ observations allow for extraction of polluted components in water and accurate measurements of pollution level in the large regions ensuring objectivity. According to results obtained from Spot-5 imagery of Quang Ninh and Hai Phong, the extracted pollution components, like BOD, COD and TSS can be determined with the root mean square error, the absolute mean error and the absolute mean percentage error (%): ±4.37 (mg/l) 3.86 (mg/l), 27%; ±55.32 (mg/l), 48.30 (mg/l), 14%; and ±32.90 (mg/l), 23.38 (mg/l), 28%; respectively. Obtained outcomes guarantee objectivity in assessing water contaminant levels in the investigated regions and show the advantages of remote sensing applications in Resource and Environmental Monitoring in relation to Water – Air – Land.
PL
Strefa przybrzeżna i ujścia rzek w Quang Ninh – Hai Phong ma potencjał do rozwoju gospodarczego i ochrony różnorodności biologicznej i ekosystemu. Ostatnio stwierdzono tam wiele oznak zanieczyszczenia wody. Poziom zanieczyszczenia wód powierzchniowych może być określany na stacjach obserwacyjnych metodami tradycyjnymi, jednak znacznie szybsze i dokładniejsze jest wykorzystanie metod teledetekcyjnych. Analiza obrazów Spot-5 w Quang Ninh – Hai Phong umożliwiła stwierdzenie obecności różnych zanieczyszczeń, w tym BOD, COD i TSS ze średnim błędem kwadratowym, średnim błędem absolutnym i średnim błędem względnym odpowiednio: ± 4.37 (mg/l), 3.86 (mg/l), 27%; ± 55.32 (mg/l), 48.30 (mg/l), 14%; ± 32.90 (mg/l), 23.38 (mg/l), 28%. Otrzymane wyniki gwarantują obiektywizm przy ocenie poziomu zanieczyszczeń w badanych regionach i pokazują korzyści zastosowań teledetekcji w monitoringu zasobów i środowiska w odniesieniu do wody – powietrza – terenu.
Rocznik
Strony
29--42
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wykr.
Twórcy
autor
  • Vietnam Society for Surveying, Mapping and Remote Sensing, 387 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam
  • Department of National Remote Sensing, 108 Chua Lang Str., Dong Da, Hanoi Vietnam
autor
  • Department of National Remote Sensing, 108 Chua Lang Str., Dong Da, Hanoi Vietnam
autor
  • Department of National Remote Sensing, 108 Chua Lang Str., Dong Da, Hanoi Vietnam
autor
  • Ministry of Public Security
Bibliografia
  • [1] Buler, D. G. and Mayer, D. G. (1993). Statistical validation. Ecol. Model, 68:21-32.
  • [2] Gordon, H. R., Brown, O. B., & Jacobs, M. M. (1975). Computed relations between the inherent and apparent optical properties of a flat homogeneous ocean. Applied Optics, 14, 417-427.
  • [3] Hans van der Woerd & Pasterkamp R., 2000. A rigorous method to retrieve TSM concentration from multi-temporal SPOT image in highly turbid coastal water. Institute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, Netherlands.
  • [4] Keiser M. and Aboulela H. (2008). Spectral enhancement of the SPOT imagery data to assess marine pollution near port Said, Egypt. PIERS proceedings, July 2-6, 2008, Cambridge, USA.
  • [5] Lathrop R. G., Lillesand T. M. (1989). Monitoring water quality and river plume transport in Grren Bay, Lake Mchigan with SPOT-1 imagery. Photogrammetric engineering and remote sensing. Vol. 55, No 3, pp. 349-354.
  • [6] Liew S. C., Saengtuksin B., Kwoh L. K. (2011). Mapping Water Quality of Coastal and Inland Waters Using High Resolution Worldview-2 Satellite Imagery. Proc. 34th. International Symposium on Remote Sensing of Environment, 10-15 April 2011, Sydney, Australia.
  • [7] Manchino G., Nole A., et al. (2009). Assessing water quality by remote sensing in small lake: the case study of Monticchio lakes in Southern Italy. Biosciences and Forestry, pp. 154-164.
  • [8] Mobley, C. D. (1999). Estimation of the remote-sensing reflectance from above-surface measurements. Applied Optics, 38, 7442–7455.
  • [9] Morel, A., & Gentili, B. (1993). Diffuse reflectance of oceanic waters: II. Bidirectional aspects. Applied Optics, 32, 6864–6879.
  • [10] Morel, A., & Gentili, B. (1996). Diffuse reflectance of oceanic waters: II. Implication of bidirectionality for the remote-sensing problem. Applied Optics, 35, 4850–4861.
  • [11] Pasterkamp, R., Peters, S.W.M. and Dekker, A.G. 2000. Environmental Baseline Mapping of Total Suspended Matter Concentrations in the Western Scheldt Estuary Supported by the se of SPOT Images. 6th International Conference on Remote Sensing for Marine and Coastal Environments, Charleston, SC, USA, p. 260-267.
  • [12] Richie J. C., Zimba P. V. and Everitt J. H. (2003). Remote sensing techniques to assess water quality. Photogrammetric engineering and remote sensing. Vol.69, No 6, pp. 695-704.
  • [13] Verdin, J. (1985). Monitoring water quality conditions in a Large Western reservoir with LANDSAT imagery. Photogrammetric engineering and remote sensing. Vol. 51, No 3, pp. 343-353.
  • [14] Vermote, E. F., Tanre, D., Deuze, J. L., Herman, M. and Morcrette, J. J. (1997). Second simulation of the satellite signal in the solar spectrum: an overview. IEEE Transactions on Geoscience and Remote Sensing, 35(3), 675–686.
  • [15] Yuan-Fong Su, Jun-Jih Liou, Ju-Chen Hou, Wei-Chun Hung, Shu-Mei Hsu, Yi-Ting Lien, Ming-Daw Su, Ke-Sheng Cheng and Yeng-Fung Wang. (2008). A multivariate model for coastal water quality mapping using satellite remote sensing images. Sensors, 8, 6321-6339.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5b765ef6-86f9-4b92-87eb-47354e821902
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