Water quality monitoring by chlorophyll-a applying satellite images in the Ramsar wetland, lake Guamués
DOI:
https://doi.org/10.18041/1909-2458/ingeniare.31.8935Keywords:
Eutrophication, chlorophyll-a, optical satellite imagery, reflectance, Ramsar wetlandAbstract
The sources of pollution both direct and dispersed are directly influenced the water quality in the planet’s reservoirs. Higher concentration of chlorophyll-a are indicators of eutrophication, this is the reason why low cost techniques to monitoring it become a fundamental tools to achieve the goal and even more when the RAMSAR WETLANDS start to manifested symptoms of meso-trophic conditions in specific zones and periods. The actual methodology presented is based on the establishment of the correlation between chlorophyll-a (Cl-a), taken In-situ, and the reflection levels, taken from the optical satellite images analysis. A correlation was founded with the combination of bands as followed: b2, b3, b4, b5 and b7 in which spatial variations of chlorophyll-a was evident. The higher values were founded in the years 2018 and 2020 in the following zones Mojondinoy, El Naranjal, Santa Teresita and Santa Lucía.
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C. Dasso, E. Piovano, A. Pasquini, F. Córdoba, K. Lecomte, L. Guerra y V. Campodónico (2014).
Recursos hídricos superficiales. En Relatorio del XIX Congreso Geológico de Córdoba [En línea].2, 1209-1231. Disponible en: https://n9.cl/gmud9.
Global Water Partnership (2000). Towards water security: A framework for action. GWP Secretariat, pp. 438-560.
B. Wang, M. Ding, S. Li, L. Liu y L. Ai (2020). Assessment of landscape ecological risk for a crossborderbasin: A case study of the Koshi River Basin, central Himalayas. Ecological Indicators, [En línea] 117, 106621, pp. 4-8 Disponible en: https://www.sciencedirect.com/science/article/abs/pii/ S1470160X20305586.
M. Ledesma, M. Bonancea, C. Ledesma, M. Rodríguez y L. Pinotti (2018). Water quality assessment of the Cassaffousth Reservoir using multivariate statistical techniques. Ab Intus [En línea] 1(2), 27-38. Disponible en: https://www.scielo.br/scielo.php?pid=S180666902013000300002&script=sciarttext&tlng=es.
C. Rodríguez, M. Bonansea, F. Bonatto, V. Reynoso, C. Prosperi, M. Mancini y C. Ledesma (2007). Remote Sensing- GIS to Predict on the Risk of Eutrophication in Aquatic Systems. Space Technology based tele-health project initiatives in Latin America and the Caribbean. Nations Programme on Space Applications [En línea] 28-30. Disponible en: https://n9.cl/5qrm5.
A. Boufekane y O. Saighi (2019). Assessing groundwater quality for irrigation using geostatistical method–Case of wadi Nil Plain (North-East Algeria). Groundwater for Sustainable Development [En línea]. 8, 179-186 Disponible en: https://www.sciencedirect.com/science/article/pii/S2352801X18300560.
Z. Yu, K. Yang, Y. Luo y C. Shang (2020). Spatial-temporal process simulation and prediction of chlorophyll-a concentration in Dianchi Lake based on wavelet analysis and long-short term memory network. Journal of Hydrology, [En línea] 582, 124488. Disponible en: https://www.sciencedirect.com/science/article/abs/pii/S002216941931223.
H.J. Gons, M. Rijkeboer y K.G. Ruddick (2005). Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters. Journal of Plankton research 27(1), pp. 125-127 [En línea]. Disponible en: https://academic.oup.com/plankt/article/27/1/125/1510826.
Corponariño. Plan de manejo humedal Ramsar, La Cocha, Pasto, Colombia, pp. 24-36, 2011.
R. E. Carlson (1977). A trophic state index for lakes 1. Limnology and oceanography 22(2), pp. 361- 369 [en línea]. Disponible en: https://www.researchgate.net/publication/245122548_A_TrophicState.
USGS (2016). Landsat 8 Surface reflectance code (LASRC) product, guide. Versión 4.2. Disponible en: https://landsat.usgs. gov/landsat-satellites. [12] USGS (2016). Landsat 7 (L7) Data Users Handbook. (P. 79-80). Disponible en: https://prd-wret.s3.us-west2.amazonaws.com/assets/palladium/producti on/atoms/files/LSDS-1927_L7_Data_Users_Handbook-v2.pdf.
E. Burbano Gallardo (2018). Influencia de cultivos piscícolas en la calidad del agua y comunidades bacterianas en el sedimento del lago Guamués. Tesis de Maestría. Universidad Nacional de Colombia, Palmira, Colombia. Disponible en: http://bdigital.unal.edu.co/70500/1/2018-Msc-Elizabeth_Burbano_Gallardo.pdf.
J. López, J. Salas, Y. Gómez, A. Gómez, H. López, A. Ortega y C. Guerrero, C., Diagnóstico del estado de trofización y estudio de la variabilidad de los parámetros limnológicos y su interrelación con la producción de trucha arco iris en jaulas flotante en el lago Guamués. Contrato interadministrativo, Universidad de Nariño y Corponariño, Pasto, 2008.
E. Hernández, N. Aguirre, J. Palacio, J. Ramírez y J. Restrepo (2008). Variación espacio-temporal de la asociación fitoplanctónica en diferentes momentos del pulso hidrológico en la ciénaga del Ayapel (Córdoba), Colombia. Actualidades Biológicas 30(88), pp. 67-81. [En línea]. Disponible en: https://revistas.udea.edu.co/index.php/actbio/article/view/329332.
G. Cárdenas y F. Mafla, Capacidad de carga del lago Guamués o laguna de La Cocha del corregimiento El Encano, municipio de Pasto. Convenio interadministrativo de interés público No. 132711. Pasto, Colombia. Universidad Mariana, Universidad de Nariño, Corponariño, 2014.
B. Nas, H. Karabork, S. Ekercin y A. Berktay (2009). Mapping chlorophyll-a through in-situ measurements and Terra ASTER satellite data. Environmental monitoring and assessment, 157(1-4), pp.
-382 [En línea]. Disponible en: https://link.springer.com/article/10.1007/s10661-008-0542-9.
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