Evaluation of the behavior of Eichhornia crassipes during the drought in the Olomega and El Jocotal lagoons using remote sensors

Authors

  • Arturo Campos Hernández San Carlos of Guatemala University

DOI:

https://doi.org/10.36829/08ASA.v18i1.1583

Keywords:

standardized precipitation-evapotranspiration index, normalized difference vegetation index, wetland, invasive aquatic plants, transition matrix, satellite image

Abstract

The algal bloom of Eichhornia crassipes is common in the lagoons of Olomega and El Jocotal, however, there is no accurate idea of the behavior of Eichhornia crassipes in both lagoons during the dry season. In the present study, the phenomenon was analyzed using remote sensors, first identifying the drought periods through the calculation of the standardized precipitation and evapotranspiration index with the data of monthly precipitation, monthly maximum temperature, and monthly minimum temperature, during the years from 2012 to 2021 in the Olomega and El Jocotal lagoons. Subsequently, with the use of satellite images taken from Landsat for the selected drought periods, the normalized difference vegetation indices were calculated to obtain the areas of the water mirror without and with algal bloom of Eichhornia crassipes for each lagoon. Finally, with geographical information systems, different transition matrices were created to evaluate the changes of algal bloom of Eichhornia crassipes during periods of drought, as well as of the area of water body without algal bloom. The results obtained showed that for both lagoons a higher drought index is not synonymous with a greater algal bloom of Eichhornia crassipes, so drought does not have an impact on the presence of Eichhornia crassipes, however, the water body without algal bloom does is affected during periods of drought.

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References

Dube, T., Mutanga, O., Sibanda, M., Bangamwabo, V., & Shoko, C. (2017). Evaluating the performance of the newly-launched Landsat 8 sensor in detecting and mapping the spatial configuration of water hyacinth (Eichhornia crassipes) in inland lakes, Zimbabwe. Physics and Chemistry of the Earth, Parts A/B/C, 100(1), 101-111. https://doi.org/10.1016/j.pce.2017.02.015

Fang, C., Song, K., Paerl, H.W., Jacinthe, P.A, Wen, Z., Liu, G., Tao, H., Xu, X., Kutser, T., Wang, Z., Duan, H., Shi, K., Shang, Y., Lyu, L., Li, S., Yang, Q., Lyu, D., Mao, D., Zhang, B., Cheng, S., Lyu, Y. (2022). Global divergent trends of algal blooms detected by satellite during 1982-2018. Global Change Biology, 28(7), 2327-2340. https://doi.org/10.1111/gcb.16077

Ma, J., Jin, S., Li, J., He, Y., & Shang, W. (2021). Spatio-temporal variations and driving forces of harmful algal blooms in Chaohu Lake: a multi-source remote sensing approach. Remote Sensing, 13(1), Article e427. https://doi.org/10.3390/rs13030427

Ministerio de Medio Ambiente y Recursos Naturales [MARN]. (2018). Catálogo de mapas de zonas críticas prioritarias en humedales Ramsar de El Salvador: herramienta para la estrategia de restauración de humedales. Recuperado el 4 de marzo de 2023, de https://cidoc.ambiente.gob.sv/documentos/catalogo-de-mapas-de-zonas-criticas-prioritarias-en-humedales-ramsar-de-el-salvador-herramienta-para-la-estrategia-de-restauracion-de-humedales/

Ministerio de Medio Ambiente y Recursos Naturales [MARN]. (2018). Inventario Nacional de Humedales El Salvador. Recuperado el 4 de marzo de 2023, de https://cidoc.ambiente.gob.sv/documentos/inventario-nacional-de-humedales-el-salvador/

Ministerio de Medio Ambiente y Recursos Naturales [MARN]. (2019). Protocolo para el control de jacinto de agua y otras plantas acuáticas invasoras en El Salvador. Recuperado el 2 de marzo de 2023, de https://cidoc.ambiente.gob.sv/documentos/protocolo-para-el-control-de-jacinto-de-agua-y-otras-plantas-acuaticas-invasoras/

Robles, W., Madsen, J. D., & Wersal, R. M. (2015). Estimating the biomass of Waterhyacinth (Eichhornia crassipes) using the normalized difference vegetation index derived from simulated Landsat 5 TM. Invasive Plant Science and Management, 8(2), 203-211. https://doi.org/10.1614/IPSM-D-14-00033.1

Shen, J., He, P., Sun, X., Shen, Z., & Xu, R. (2023). Impact Eichhornia crassipes cultivation on water quality in the Caohai region of Dianchi Lake using multi-temporal Sentinel-2 images. Remote Sensing, 15(1), Article e2260. https://doi.org/10.3390/rs15092260

Published

2023-06-28

How to Cite

Campos Hernández, A. (2023). Evaluation of the behavior of Eichhornia crassipes during the drought in the Olomega and El Jocotal lagoons using remote sensors. Agua, Saneamiento & Ambiente, 18(1), e 1583. https://doi.org/10.36829/08ASA.v18i1.1583

Funding data