Qualidade da água superficial por meio de análise do componente principal

Finkler, Nícolas Reinaldo; Peresin, Denise; Cocconi, Jardel; Bortolin, Taison Anderson; Rech, Adivandro; Schneider, Vânia Elisabete

doi:10.4136/ambi-agua.1468

Cited by 16 publications

(13 citation statements)

References 9 publications

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“…These results demonstrate that the points with greatest degradation are directly associated with the land use in the urban area of the microbasin and industrial activities. These results are similar to those reported by Finkler et al (2015), who found that the most significant parameters in the water quality variation in watersheds in the municipality of Caxias do Sul were related to anthropic activities and lack of treatment of domestic and industrial effluents, directly causing degradation of the water quality.…”

Section: Relationship Of Water Quality and Land Use And Occupationsupporting

confidence: 91%

Influence of land use and occupation on the water quality of a microbasin in the southwestern Amazon

Mendonça¹,

Laureano²,

Lopes

et al. 2021

Preprint

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Abstract. Water resource management in Brazil is constantly evolving, and greater knowledge about this resource allows better planning and more sustainable uses. In Brazil, the improvement of water resource management faces the difficulty of implementing the instruments of the National Water Resources Policy, such as classification of water bodies. Thus, to help improve the water management instruments in the country's northern region, the objective of the present study was to diagnose the influence of land use and occupation on the water quality of the Igarapé Nazaré microbasin. For this purpose, indirect methods of landscape analysis were applied based on the processing of remote sensing images in a GIS. For the water quality analysis, 10 collection points were selected in the watershed, with samples collected at each one in four periods (high water; HW/LW transition; low water; LW/HW transition). In the collected samples, 14 parameters were analyzed, namely: temperature, pH, electrical conductivity; turbidity; water transparency and depth; dissolved oxygen; chlorophyll a, ammonia, nitrite, nitrate, total phosphorus and dissolved phosphorus; total coliforms and E. coli. The spatial analysis showed that the microbasin has about 84 % anthropized territory, with emphasis on agriculture, and sources of pollution from industries, fish farming and domestic sewage. Parameter analyses showed high values of total phosphorus (0.005–27.55 mg.L−1), total coliforms (4,103–1,09,106 CFU) and E. coli (0–5.8,105 CFU), and low DO concentration (0.0–8.33 mg.L−1), below the official limit established in all periods analyzed The water quality of the Igarapé Nazaré microbasin was found to suffer strong anthropic interference, requiring improvement of the sanitary infrastructure of city of Ji-Paraná, for maintenance of the watershed in class 2.

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Section: Relationship Of Water Quality and Land Use And Occupationsupporting

confidence: 91%

Influence of land use and occupation on the water quality of a microbasin in the southwestern Amazon

Mendonça¹,

Laureano²,

Lopes

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The multivariate analysis helps in the definition of which variables are more important for water management, assisting in the selection of variables using more objective criteria. This type of statistical analysis is an effective tool in the qualitative evaluation of waters (Vidal and Kiang, 2002;Brito et al, 2006;Cloutier et al, 2008;Palácio, 2009;Fernandes et al, 2010;González et al, 2011;Finkler et al, 2015;Gomes and Cavalcante, 2017).…”

Section: Introductionmentioning

confidence: 99%

Multivariate statistical analysis applied to the evaluation of groundwater quality in the central-southern portion of the state of Bahia - Brazil

2020

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The objective of this study was to identify and evaluate the variables responsible for contributing to possible natural and/or human contamination in groundwater of the semiarid region of the state of Bahia, seeking to subsidize water quality monitoring and management actions in the area. To do so, multivariate analysis techniques regarding factorial analysis in principal components and cluster analysis were used. The factorial analysis allowed the grouping of variables into two principal factors that explained 93% of total accumulated variance. Variables were strongly related to concentrations of metals and salinity in the water. The cluster analysis was used to classify water sources according to the quality of waters into three clusters in each factor. The natural background of the rocks of the municipality of Boquira was shown to influence water resources. A continuous (during dry and rainy seasons) monitoring of water quality from wells and springs located upstream and downstream from contamination sources is recommended, even if these waters are not used for public supply, to determine possible contamination plumes from contaminated material.

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“…We applied a quantitative approach, through PAST 3 software, to the filtered data using Principal Components Analysis (PCA) (Finkler et al, 2015; Venkata Krishnamoorthy and Reddy, 2019) for the useful images of the Bolonha Lake. In this analysis, we considered the groups of images classified as "lake without cloud cover" and "lake under partial cloud cover" that surpassed the criterion from the cloud interference as useful data; the remaining scenes summed up to not suitable scene data.…”

Section: Conditionmentioning

confidence: 99%

Analysis of cloud condition on Sentinel-2 MSI and Landsat-8 OLI images of a public supply lake in Belém-Pará-Brazil

2019

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The eutrophication process leads to reduced water quality and economic losses worldwide. Furthermore, it is possible to apply remote sensing techniques for monitoring of aquatic environments. In this paper, we analysed the combined use of Sentinel-2 Multispectral Instrument and Landsat-8 Operational Land Imager data to monitor a eutrophic aquatic environment under adverse cloudy conditions, from July 2016 to July 2018. Data pre-selection was performed, and then the images were acquired for further investigation. After that, we created a key to the interpretation of cloud conditions for the study area and grouped each of 125 scenes in a Principal Component Analysis (PCA). The PCA grouped months with similarities in cloud conditions, highlighting their patterns in terms of the rainy and dry seasons for the study area. Another interesting result was that, even under the inherent adverse cloud regime of the Amazon, the combined use of both free satellite imagery data could be useful for further analyses, such as measuring of chlorophyll a, coloured dissolved organic matters, total suspended solids and turbidity. However, we highlight that, firstly, studies must be made to validate the data in situ, so that monitoring programs can be built through remote sensing applications.

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Qualidade da água superficial por meio de análise do componente principal

Cited by 16 publications

References 9 publications

Influence of land use and occupation on the water quality of a microbasin in the southwestern Amazon

Influence of land use and occupation on the water quality of a microbasin in the southwestern Amazon

Multivariate statistical analysis applied to the evaluation of groundwater quality in the central-southern portion of the state of Bahia - Brazil

Analysis of cloud condition on Sentinel-2 MSI and Landsat-8 OLI images of a public supply lake in Belém-Pará-Brazil

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