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Evaluating the potential of Sentinel-2 satellite images for water quality characterization of artificial reservoirs: The Bin El Ouidane Reservoir case study (Morocco)

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Monitoring water quality in large dams is becoming a necessity for protecting stored water from various forms of pollution. This process requires analysis of several samples on a weekly or monthly basis. Our study aims to determine the relationship between water quality parameters (WQP) and digital data from the Sentinel-2 satellite to estimate and map the WQP in the Bin El Ouidane Reservoir. The in situ sampling was carried out in the Bin El Ouidane Reservoir (Azilal Province), followed by analysis of physicochemical parameters in the laboratory. These measurement results were compared with the reflectance in each sampling location to investigate the correlations between bands and laboratory chemical analysis results. The correlation results showed that all studied parameters have an R2 greater than 0.52, and they can be transformed to predictive models by stepwise regression. The accuracy of our proposed models was tested using the Oum Er-Rbia Hydraulic Basin Agency data, and the results showed that only three parameters yield admissible verification results (Chlorophyll A, dissolved Oxygen and Nitrate). Those models were then used in geographic information system software to produce a thematic map of each parameter over the entire surface of the reservoir. As a conclusion, the Sentinel-2 images could help indicate the eutrophication stage in the Bin El Ouidane Reservoir, which is a major risk in major Moroccan reservoirs.
Twórcy
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Sultan Moulay Slimane University, Bd Ibn Khaldoun, Beni-Mellal 23000, Morocco
  • Oum Er-biaa Hydraulic Basin Agency, Morocco
autor
  • Ibn Tofail University, Av. de L’Université, Kénitra, Morocco
Bibliografia
  • Arhonditsis G., Eleftheriadou M., Karydis M., Tsirtsis G., 2003, Eutrophication risk assessment in coastal embayments using simple statistical models, Marine Pollution Bulletin, 46 (9), 1174-1178, DOI: 10.1016/S0025-326X(03)00165-6.
  • Badran M.I., 2001, Dissolved oxygen, chlorophyll-a and nutrients: seasonal cycles in waters of the Gulf of Aquaba, Red Sea, Aquatic Ecosystem Health & Management, 4 (2), 139-150.
  • Basnyat P., Teeter L.D., Lockaby B.G., Flynn K.M., 2000, The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems, Forest Ecology and Management, 128 (1-2), 65-73, DOI: 10.1016/S0378- 1127(99)00273-X.
  • Bolboaca S.D., Jäntschi L., 2013, Quantitative structureactivity relationships: linear regression modelling and validation strategies by example, Biomath, 2 (1), 1309089, DOI: 10.11145/j.biomath.2013.09.089.
  • Brezonik P., Menken K.D., Bauer M., 2005, Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM), Lake and Reservoir Management, 21 (4), 373-382, DOI: 10.1080/07438140509354442.
  • Brönmark C., Hansson L.-A., 2002, Environmental issues in lakes and ponds: current state and perspectives, Environmental Conservation, 29 (3), 290-307, DOI: 10.1017/ S0376892902000218.
  • Çevik F., Derici O.B., Koyuncu N., Tugyan C., 2007, Water quality and its relation with chlorophyll-a in dry season, in a reservoir of Mediterranean Region, Asian Journal of Chemistry, 19 (4), 2928-2934.
  • Cherifi O., Loudiki M., 1999, Flood transport of dissolved and suspended matter in the El Abid River basin (Morocco), [in:] Man and river systems, J. Garnier, J.-M. Mouchel (eds.), Springer, Dordrecht, 287-294.
  • Cugier P., Billen G., Guillaud J.F., Garnier J., Ménesguen A., 2005, Modelling the eutrophication of the Seine Bight (France) under historical, present and future riverine nutrient loading, Journal of Hydrology, 304 (1-4), 381-396, DOI: 10.1016/j.jhydrol.2004.07.049.
  • de Ceballos B.S.O., König A., De Oliveira J.F., 1998, Dam reservoir eutrophication: a simplified technique for a fast diagnosis of environmental degradation, Water Research, 32 (11), 3477-3483, DOI: 10.1016/S0043-1354(98)00095-5.
  • Dekker A.G., Vos R.J., Peters S.W.M., 2001, Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes, Science of the Total Environment, 268 (1-3), 197-214, DOI: 10.1016/S0048-9697(00)00679-3.
  • Duvet L., Bavdaz M., Crouzet P.E., Nelms N., Nowicki-Bringuier Y.R., Shortt B., Verhoeve P., 2014, European Space Agency detector development for space science: present and future activities, [in:] Proceedings of the SPIE, vol. 9154: High energy, optical and infrared detectors for Astronomy VI, DOI: 10.1117/12.2069310.
  • El Ghachtoul Y., Alaoui Mhamidi M., Gabi H., 2005, Eutrophisation des eaux des retenues des barrages Smir et Sehla (maroc): causes, conséquences et consignes de gestion, Revue des sciences de l’eau, 18, 75-89, DOI: 10.7202/705577ar.
  • Ennaji W., Barakat A., Karaoui I., El Baghdadi M., Arioua A., 2018, Remote sensing approach to assess salt-affected soils in the north-east part of Tadla plain, Morocco, Geology, Ecology and Landscapes, 2 (1), 22-28, DOI: 10.1080/24749508.2018.1438744.
  • Giardino C., Brando V.E., Dekker A.G., Strömbeck N., Candiani G., 2007, Assessment of water quality in Lake Garda (Italy) using Hyperion, Remote Sensing of Environment, 109 (2), 183-195, DOI: 10.1016/j.rse.2006.12.017.
  • Gitelson A., Garbuzov G., Szilagyi F., Mittenzwey K.H., Karnieli A., Kaiser A., 1993, Quantitative remote sensing methods for real-time monitoring of inland waters quality, International Journal of Remote Sensing, 14 (7), 1269-1295, DOI: 10.1080/01431169308953956.
  • Gleick P.H., Palaniappan M., 2010, Peak water limits to freshwater withdrawal and use, Proceedings of the National Academy of Sciences, 107 (25), 11155-11162, DOI: 10.1073/pnas.1004812107.
  • Gray N.F., 2008, Drinking water quality: problems and solutions, Cambridge University Press, 538 pp.
  • Harrington Jr J.A., Schiebe F.R., Nix J.F., 1992, Remote sensing of Lake Chicot, Arkansas: Monitoring suspended sediments, turbidity, and Secchi depth with Landsat MSS data, Remote Sensing of Environment, 39 (1), 15-27, DOI: 10.1016/0034-4257(92)90137-9.
  • Hunter P.D., Tyler A.N., Carvalho L., Codd G.A., Maberly S.C., 2010, Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes, Remote Sensing of Environment, 114 (11), 2705-2718, DOI: 10.1016/j.rse.2010.06.006.
  • Kallio K., Attila J., Härmä P., Koponen S., Pulliainen J., Hyytiäinen U.-M., Pyhälahti T., 2008, Landsat ETM+ images in the estimation of seasonal lake water quality in boreal river basins, Environmental Management, 42 (3), 511-522, DOI: 10.1007/s00267-008-9146-y.
  • Kallio K., Kutser T., Hannonen T., Koponen S., Pulliainen J., Vepsäläinen J., Pyhälahti T., 2001, Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons, Science of the Total Environment, 268 (1-3), 59-77, DOI: 10.1016/S0048-9697(00)00685-9.
  • Kutser T., 2012, The possibility of using the Landsat image archive for monitoring long time trends in coloured dissolved organic matter concentration in lake waters, Remote Sensing of Environment, 123, 334-338, DOI: 10.1016/ j.rse.2012.04.004.
  • Leigh C., Burford M.A., Roberts D.T., Udy J.W., 2010, Predicting the vulnerability of reservoirs to poor water quality and cyanobacterial blooms, Water Research, 44 (15), 4487-4496, DOI: 10.1016/j.watres.2010.06.016.
  • Li X., 2015, The first Sentinel-1 SAR image of a typhoon, Acta Oceanologica Sinica, 34 (1), 1-2, DOI: 10.1007/ s13131-015-0589-8.
  • MEE, 2002, Moroccan standards for surface water quality, Ministère de l’Eau et de l’Environnement, Official Bulletin No. 5062.
  • Morgan A.M., Royer T.V., David M.B., Gentry L.E., 2006, Relationships among nutrients, chlorophyll-a, and dissolved oxygen in agricultural streams in Illinois, Journal of Environmental Quality, 35 (4), 1110-1117, DOI: 10.2134/ jeq2005.0433.
  • Moses W.J., Gitelson A.A., Berdnikov S., Povazhnyy V., 2009, Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data - successes and challenges, Environmental Research Letters, 4 (4), 045005.
  • Nezlin N.P., Kamer K., Hyde J., Stein E.D., 2009, Dissolved oxygen dynamics in a eutrophic estuary, Upper Newport Bay, California, Estuarine, Coastal and Shelf Science, 82 (1), 139-151, DOI: 10.1016/j.ecss.2009.01.004.
  • Olmanson L.G., Bauer M.E., Brezonik P.L., 2008, A 20-year Landsat water clarity census of Minnesota’s 10,000 lakes, Remote Sensing of Environment, 112 (11), 4086-4097, DOI: 10.1016/j.rse.2007.12.013.
  • Palmer S.C., Kutser T., Hunter P.D., 2015, Remote sensing of inland waters: Challenges, progress and future directions, Remote Sensing of Environment, 157, 8 p., DOI: 10.1016/j. rse.2014.09.021.
  • Peake B.M., Walls D.J., Gibbs M.T., 2001, Spatial variations in the levels of nutrients, chlorophyll-a, and dissolved oxygen in summer and winter in Doubtful Sound, New Zealand, New Zealand Journal of Marine and Freshwater Research, 35 (4), 681-694, DOI: 10.1080/00288330.2001.9517035.
  • Pierson D.C., Strömbeck N., 2000, A modelling approach to evaluate preliminary remote sensing algorithms: Use of water quality data from Swedish Great Lakes, Geophysica, 36 (1-2), 177-202.
  • Rocha R.R.A., Thomaz S.M., Carvalho P., Gomes L.C., 2009, Modeling chlorophyll-a and dissolved oxygen concentration in tropical floodplain lakes (Paraná River, Brazil), Brazilian Journal of Biology, 69 (2), 491-500.
  • Sabri E.M., Boukdir A., Maslouhi R.E., Mabrouki M., Mahboul A.E., Ekouele Mbaki V.R., Zitouni A., Baite W., Echakraoui Z., 2017, Modelling reservoir sedimentation at Bin El Ouidane dam, Morocco, Agrofor International Journal, 2 (1), 99-108, DOI: 10.7251/AGRENG1701099S.
  • Shen Z., Niu J., Wang Y., Wang H., Zhao X., 2013, Eutrophication risk assessment, [in:] Distribution and transformation of nutrients and eutrophication in large-scale lakes and reservoirs, Springer-Verlag Berlin Heidelberg, 161-177.
  • Straskraba M., Tundisi J.G., Duncan A. (eds.), 2013, Comparative reservoir limnology and water quality management, Developments in Hydrobiology Series, 77, Springer Science & Business Media, 294 pp.
  • Tranvik L.J., Downing J.A., Cotner J.B., Loiselle S.A., Striegl R.G.,Ballatore T.J., Dillon P., Finlay K., Fortino K., Knoll L.B., Kortelainen P.L., Kutser T., Larsen S., Laurion I., Leech D.M., McCallister S.L., McKnight D.M., Melack J.M., Overholt E., Porter J.A., Prairie Y., Renwick W.H., Roland F., Sherman B.S., Schindler D.W., Sobek S., Tremblay A., Vanni M.J., Verschoor A.M., von Wachenfeldt E., Weyhenmeyer G.A., 2009, Lakes and reservoirs as regulators of carbon cycling and climate, Limnology and Oceanography, 54 (6, part 2), 2298-2314, DOI: 10.4319/ lo.2009.54.6_part_2.2298.
  • Verpoorter C., Kutser T., Seekell D.A., Tranvik L.J., 2014, A global inventory of lakes based on high-resolution satellite imagery, Geophysical Research Letters, 41 (18), 6396-6402, DOI: 10.1002/2014GL060641.
  • Willmott C.J., Matsuura K., 2005, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Climate Research, 30 (1), 79-82, DOI: 10.3354/cr030079.
  • WHO, 2008, Guidelines for drinking-water quality: recommendations, vol. 1, World Health Organization, Geneva, available at http://www.who.int/water_sanitation_health/dwq/fulltext.pdf (data access 08.08.2018).
  • Wang X.J., Ma T., 2000, The application of remote sensing technology in monitoring the water quality of Taihu Lake, Chinese Journal of Environmental Science, 21 (6), 65-68.
  • Yang M.-D., Merry C.J., Sykes R.M., 1999, Integration of water quality modeling, remote sensing, and GIS, Journal of the American Water Resources Association, 35 (2), 253-263, DOI: 10.1111/j.1752-1688.1999.tb03587.x.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f38728eb-3598-44ca-9002-3b0250afbc86
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