Modeling and spatiotemporal mapping of water quality through remote sensing techniques: A case study of the Hassan Addakhil dam

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dc.contributor.authorEl Ouali, Anas
dc.contributor.authorEl Hafyani, Mohammed
dc.contributor.authorRoubil, Allal
dc.contributor.authorLahrach, Abderrahim
dc.contributor.authorEssahlaoui, Ali
dc.contributor.authorHamid, Fatima Ezzahra
dc.contributor.authorMuzirafuti, Anselme
dc.contributor.authorParaforos, Dimitrios S.
dc.contributor.authorLanza, Stefania
dc.contributor.authorRandazzo, Giovanni
dc.date.accessioned2024-11-06T10:17:36Z
dc.date.available2024-11-06T10:17:36Z
dc.date.issued2021de
dc.description.abstractWith its high water potential, the Ziz basin is one of the most important basins in Morocco. This paper aims to develop a methodology for spatiotemporal monitoring of the water quality of the Hassan Addakhil dam using remote sensing techniques combined with a modeling approach. Firstly, several models were established for the different water quality parameters (nitrate, dissolved oxygen and chlorophyll a) by combining field and satellite data. In a second step, the calibration and validation of the selected models were performed based on the following statistical parameters: compliance index R2, the root mean square error and p-value. Finally, the satellite data were used to carry out spatiotemporal monitoring of the water quality. The field results show excellent quality for most of the samples. In terms of the modeling approach, the selected models for the three parameters (nitrate, dissolved oxygen and chlorophyll a) have shown a good correlation between the measured and estimated values with compliance index values of 0.62, 0.56 and 0.58 and root mean square error values of 0.16 mg/L, 0.65 mg/L and 0.07 µg/L for nitrate, dissolved oxygen and chlorophyll a, respectively. After the calibration, the validation and the selection of the models, the spatiotemporal variation of water quality was determined thanks to the multitemporal satellite data. The results show that this approach is an effective and valid methodology for the modeling and spatiotemporal mapping of water quality in the reservoir of the Hassan Addakhil dam. It can also provide valuable support for decision-makers in water quality monitoring as it can be applied to other regions with similar conditions.en
dc.identifier.swb1775114007
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16887
dc.identifier.urihttps://doi.org/10.3390/app11199297
dc.language.isoengde
dc.rights.licensecc_byde
dc.source2076-3417de
dc.sourceApplied sciences; Vol. 11, No. 19 (2021) 9297de
dc.subjectZiz basin
dc.subjectWater quality
dc.subjectSatellite image analysis
dc.subjectModeling approach
dc.subjectNitrate
dc.subjectDissolved oxygen
dc.subjectChlorophyll a
dc.subjectClimate change
dc.subjectTime series analysis
dc.subjectEnvironmental monitoring
dc.subject.ddc630
dc.titleModeling and spatiotemporal mapping of water quality through remote sensing techniques: A case study of the Hassan Addakhil damen
dc.type.diniArticle
dcterms.bibliographicCitationApplied sciences, 11 (2021), 19, 9297. https://doi.org/10.3390/app11199297. ISSN: 2076-3417
dcterms.bibliographicCitation.issn2076-3417
dcterms.bibliographicCitation.issue19
dcterms.bibliographicCitation.journaltitleApplied sciences
dcterms.bibliographicCitation.volume11
local.export.bibtex@article{El Ouali2021, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16887}, doi = {10.3390/app11199297}, author = {El Ouali, Anas and El Hafyani, Mohammed and Roubil, Allal et al.}, title = {Modeling and Spatiotemporal Mapping of Water Quality through Remote Sensing Techniques: A Case Study of the Hassan Addakhil Dam}, journal = {Applied sciences}, year = {2021}, }
local.export.bibtexAuthorEl Ouali, Anas and El Hafyani, Mohammed and Roubil, Allal et al.
local.export.bibtexKeyEl Ouali2021
local.export.bibtexType@article

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