Modelagem da qualidade da água do rio Poti em Teresina (PI)

Filho, Antônio Alves de Oliveira; Neto, Iran Eduardo Lima

doi:10.1590/s1413-41522017142354

Cited by 17 publications

(8 citation statements)

References 7 publications

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“…These results are in line with studies evaluating the water quality of the Poti River, which show this stretch as suitable for the growth of water hyacinths, as this place is the most urbanized, with the presence of several points of emission of effluents, solid residues and, probably, clandestine connections of domestic and industrial effluents in the rainwater drainage network (Mendes-Câmara, 2011;Oliveira e Silva, 2014;Oliveira Filho and Lima Neto, 2018). In addition, Bareuther et al (2020) and Worqlul et al (2020) reported that a strong linear correlation between the nutrient loads, water level, turbidity, and water and air temperatures and water hyacinth expansion was found.…”

Section: Mapping Of the Area Colonized By Aquatic Plantssupporting

confidence: 83%

Detection and Mapping of Eutrophication and Aquatic Plants in a River in the Northeast Region of Brazil Using Sentinel-2 Data

Pereira

Lopes

Espíndola

et al. 2022

Rev. Bras. Geog. Fis.

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The urban expansion of Teresina has caused environmental impacts on the Poti River due to the occurrence of eutrophication and proliferation of aquatic plants in the dry season of the year. Considering the characteristics related to water-quality monitoring in the Northeast region of Brazil, from remote sensing, this study aimed to evaluate the performance of semi-empirical algorithms in Sentinel-2 data in the detection and mapping of eutrophication and aquatic plants in the river Poti in Teresina, Piaui, Brazil. The eutrophication detection methodology involved the study of the reflectance of the water surface in the Sentinel-2 images and the respective correlation within situ data of chlorophyll-a, using the MCI, MPH and NDCI indexes. The NDCI index showed superior one-off performance than the MCI and MPH indexes. In this sense, with the NDCI, the spatio-temporal variation of eutrophication in the Poti River was identified broadly and no longer specific. In relation to aquatic plants, the NDVI index proved to be appropriate for the detection and mapping of water hyacinths, demonstrating the location of the areas covered by aquatic plants. At the beginning of proliferation, the maximum expansion rate of 854.7% was evaluated. At the end of the dry period, there was a peak of covered area of 570,145.6 m² and a production of 6,408.4 tons of fresh biomass from water hyacinths. Therefore, in both cases, it was found that the MSI sensor was suitable for the detection, mapping and monitoring of eutrophication and aquatic plants in the Poti River.

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Section: Mapping Of the Area Colonized By Aquatic Plantssupporting

confidence: 83%

Detection and Mapping of Eutrophication and Aquatic Plants in a River in the Northeast Region of Brazil Using Sentinel-2 Data

Pereira

Lopes

Espíndola

et al. 2022

Rev. Bras. Geog. Fis.

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“…The influence of factors such as incipient environmental management, occupation of river margins, existence of clandestine connections of raw sewage in the rain drainage and the high evaporation of water, have contributed to the alteration of the limnological characteristics of the Poti River (Oliveira and Silva, 2014;Oliveira Filho and Lima Neto, 2018). In addition, in the dry season, the reduction in flow, width and depth favour the formation of natural barriers, such as meandering curves, rocky outcrops, alluvial deposits of pebbles to sands and river islands, cause the damming of Poti River waters (Lima and Augustin, 2014).…”

Section: Comparison Of Chlorophyll-a Concentrationsmentioning

confidence: 99%

Retrieval and mapping of chlorophyll-a concentration from Sentinel-2 images in an urban river in the semiarid region of Brazil

Pereira¹,

Lopes²,

Espíndola³

et al. 2020

Rev. ambiente água

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Recently, the Poti river mouth region has experienced environmental impacts that resulted in a change of landscape in its dry season, highlighting the eutrophication and proliferation of phytoplankton, algae, cyanobacteria and aquatic plants. Considering the aspects related to water-quality monitoring in the semiarid region of Brazil from remote sensing, this study aimed to evaluate the performance of Sentinel-2A satellite data in the retrieval of chlorophyll-a concentration in Poti River in Teresina, Piaui, Brazil. The chlorophyll-a concentration retrieval and mapping methodology involved the study of the water surface reflectance in Sentinel-2A images and their correlation with the chlorophyll-a data collected in situ during the years 2016 and 2017. The results generated by the Chl-1, Ha et al. (2017), Chl-2, Page et al. (2018), and Chl-3, Kuhn et al. (2019) equations show the need for calibrating the algorithms used for the Poti River water components. However, the empirical algorithm Chl-2 shows a correlation has been established to identify the spatiotemporal variation of chlorophyll-a concentration along the Poti River broadly and not punctually. The spatial distribution of this pigment in maps derived from Sentinel-2A is consistent with the pattern of occurrence determined by the in situ data. Therefore, the MSI sensor proved to be a tool suitable for the retrieval and monitoring of chlorophyll-a concentration along the Poti River.

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“…A atividade extrativa mineral, realizada na margem do rio Poti, com maior intensidade nas proximidades da cidade de Teresina, somada a outras intervenções antrópicas na área, tem provocado desmatamentos, comprometendo a biota existente e a resiliência natural. Machado et al (2010) ao analisarem o índice de cobertura vegetal/habitante em Teresina, calculado em m 2 /habitante, observaram que houve uma redução aproximada de 13 km 2 de cobertura vegetal na zona urbana da cidade, em consequência do aumento populacional e do crescimento da capital, que possui uma baixa cobertura do sistema público de esgotamento sanitário, que apenas atende cerca de 17% da população urbana (Oliveira;Silva, 2014). Tal circunstância induz os habitantes ao uso de alternativas para o esgotamento sanitário de seus domicílios, como a adoção das fossas sépticas e o lançamento de esgotos in natura, a céu aberto nas vias públicas, conectadas às galerias de drenagem urbana, para posterior lançamento destes efluentes nos cursos d'água, tidos como receptores.…”

Section: Resultsunclassified

Índice De Resiliência Natural Em Bacias Hidrográficas: O Caso Do Baixo Curso Do Rio Poti

Oliveira¹,

Cunha²,

Cruz³

et al. 2020

RCG

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O processo de apropriação dos recursos naturais tem ocorrido desrespeitando suas características físico-naturais e capacidade de resiliência. Neste sentido, a determinação de um Índice de Resiliência Natural (IRN) constitui importante ferramenta para a conservação e gestão ambiental. Objetivou-se neste estudo desenvolver um índice para identificar a capacidade de resiliência natural do baixo curso do rio Poti (BCRP) com base nas suas caraterísticas de declividade, temperatura e tipos do solo, vegetação e recursos hídricos, associando-os às atividades desenvolvidas pela população, consideradas indicadores de pressão para o aumento ou diminuição da resiliência. Utilizou-se do Sistema de Informações Geográficas (SIG) para a interpretação da área e elaboração do IRN através da técnica fuzzy do ArcMap 10.3. A análise temporal do IRN do BCRP demonstrou ser uma eficaz ferramenta para gestão ambiental, por permitir um diagnóstico da bacia para subsidiar ações que favoreçam a resiliência do ambiente. Na área urbana, o IRN demonstrou-se regressivo, com classificação de baixa a muito baixa. Em contrapartida, na área rural o índice resultou de moderado a alto, perante as formas de uso e ocupação do solo. Constatou-se que a utilização de técnicas sustentáveis de manejo do solo e da vegetação pode favorecer a resiliência do ambiente.

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Modelagem da qualidade da água do rio Poti em Teresina (PI)

Cited by 17 publications

References 7 publications

Detection and Mapping of Eutrophication and Aquatic Plants in a River in the Northeast Region of Brazil Using Sentinel-2 Data

Detection and Mapping of Eutrophication and Aquatic Plants in a River in the Northeast Region of Brazil Using Sentinel-2 Data

Retrieval and mapping of chlorophyll-a concentration from Sentinel-2 images in an urban river in the semiarid region of Brazil

Índice De Resiliência Natural Em Bacias Hidrográficas: O Caso Do Baixo Curso Do Rio Poti

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