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8 results for “Water Quality Index”
Water Quality Index from Tiete River
<p>Data from WQI (response variable) and 9 physical, chemical, and biological parameters (independent variables), namely: hydrogen potential (pH), dissolved oxygen (do), biochemical oxygen demand (bod), thermotolerant coliforms (tc), total nitrogen (tn), total phosphorus (tp), total solids (ts), turbidity (turb), temperature (temp) were obtained from reports issued by the Environmental Company of the State of São Paulo (CETESB). Annual report available at the link (<a href="https://cetesb.sp.gov.br/aguas-interiores/publicacoes-e-relatorios/">https://cetesb.sp.gov.br/aguas-interiores/publicacoes-e-relatorios/</a>). On this website the documents are available only in Portuguese and from 1978. The WQI used presents a range between 0 and 100, divided into ranges of values and by color: very bad (0 and ≤ 19, purple); bad (> 19 and ≤ 36, red); medum (> 36 and ≤ 51, yellow); good (> 51 and ≤ 79, green) and excellent (> 79, blue). Its object of study data obtained from 78 measurement points located on the Tiete River and its tributaries, from 1994 to 2019. </p><p><strong>The database is part of the doctoral thesis, which addresses the use of machine learning techniques in classifying and predicting water quality indicators.</strong></p><p><strong>CRediT authorship contribution statement: Mario Elias Carvalho do Nascimento: </strong>Conceptualization, Software, Formal analysis, Investigation, Data Curation. <strong>Ralpho Rinaldo dos Reis</strong>: Supervision, Project administration. </p><p><strong>For any inquiries, please contact </strong>marioelias_carvalho@yahoo.com. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically.</p><p>Data description:</p><ul><li><strong>ugrhi:</strong> Water Resources Management Units</li><li><strong>macro_land_use:</strong> Classified according to macro land use agriculture, conservation, industrialization, and industrial</li><li><strong>measurement_points: </strong>Measurement points located on the Tiete River and its tributaries</li><li><strong>pH</strong>: hydrogen potential [ ]</li><li><strong>do</strong>: dissolved oxygen [mg/L]</li><li><strong>bod</strong>: biochemical oxygen demand [mg/L]</li><li><strong>tc</strong>: thermotolerant coliforms [NMP/100ml]</li><li><strong>tn</strong>: total nitrogen [mg/L]</li><li><strong>tp</strong>: total phosphorus [mg/L]</li><li><strong>ts</strong>: total solids [mg/L]</li><li><strong>turb</strong>: turbidity [UNT]</li><li><strong>temp</strong>: temperature [ºC]</li><li><strong>wqi</strong>: Range of water quality index [ ]</li><li><strong>classification</strong>: Water quality classes [very_bad, bad, medium, good, excelent]</li></ul><p> </p>
Fig. 6 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 6. DNA damage scores (mean ± SEM, n = 8) in erythrocytes of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P <0.05).
Fig. 2 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 2. Activity (mean ± SEM, n = 8) of glutathione S-transferase in liver (A) and gills (B) of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P <0.05).
Fig. 3 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 3. Activity (mean ± SEM, n = 8) of catalase in liver (A) and gills (B) of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P <0.05).
Fig. 4 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 4. Content (mean ± SEM, n = 8) of glutathione in liver (A) and gills (B) of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P<0.05).
Fig. 7 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 7. Integrated biomarkers response index (IBR) values for each experimental site along Água das Araras stream (S1, S2, S3, S4, and S5) where in situ tests were performed. Biomarkers results are represented in relation to the reference site (0). The area above 0 reflects induction of the biomarker, and below 0 indicates reduction of the biomarker.
Fig. 5 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 5. Activity (mean ± SEM, n = 8) of acetylcholinesterase in muscle (A) and brain (B) of A. altiparanae exposed in situ for seven days in five sites along Água das Araras stream (S1, S2, S3, S4, and S5) and in a reference site (Ref). Different letters indicate significant differences between sites (P <0.05).
Fig. 1 in Integrated biomarker response index using a Neotropical fish to assess the water quality in agricultural areas
Fig. 1. Maps are showing South America (A), Paraná State (B) and Água das Araras stream (C) indicating the five experimental sites along of the stream (S1, S2, S3, S4, and S5) and the reference site (Ref), which is a small stream within a forest fragment named "Parque Estadual Mata São Francisco".
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