2019
DOI: 10.1007/s12665-019-8087-5
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Spatial and seasonal variability of the water quality characteristics of a river in Northeast Brazil

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Cited by 32 publications
(16 citation statements)
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“…All concentrations in mg/l, except temperature: (°C); and EC (µS/cm) DGW deep groundwater obtained from boreholes, SGW shallow groundwater obtained from dug wells 2005Versluys index (Vi) Na/(Na + Ca + Mg) Versluys (1916) The null hypothesis of the test is that all k distribution functions are equal. The alternative hypothesis is that at least one of the observations tends to yield larger values than at least one of the other observations (Cruz et al 2019;Montcoudiol et al 2019;Morris et al 2019). Results obtained show that there was no significant difference in TDS, K + , Ca 2+ , and Cu 2+ concentrations between shallow and deep groundwater.…”
Section: Discussionmentioning
confidence: 76%
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“…All concentrations in mg/l, except temperature: (°C); and EC (µS/cm) DGW deep groundwater obtained from boreholes, SGW shallow groundwater obtained from dug wells 2005Versluys index (Vi) Na/(Na + Ca + Mg) Versluys (1916) The null hypothesis of the test is that all k distribution functions are equal. The alternative hypothesis is that at least one of the observations tends to yield larger values than at least one of the other observations (Cruz et al 2019;Montcoudiol et al 2019;Morris et al 2019). Results obtained show that there was no significant difference in TDS, K + , Ca 2+ , and Cu 2+ concentrations between shallow and deep groundwater.…”
Section: Discussionmentioning
confidence: 76%
“…Prior to this, a nonparametric test (Kruskal-Wallis) was used to test whether there is a significant difference in groundwater composition between shallow and deep groundwater sources, using several samples ANOVA (Table 4). This method allows for comparing several independent random samples and can be used as a nonparametric substitute to the one-way ANOVA (Cruz et al 2019;Montcoudiol et al 2019;Morris et al 2019). The Kruskal-Wallis test statistic for k samples, each of size n i is defined viz:…”
Section: Discussionmentioning
confidence: 99%
“…The importance of LULC, hydrological regimes, and granulometric proprieties was highlighted in the multivariate analysis, showing classes as urban/industrial and olive groves, vineyards, and orchards, fine particles of sediments, and flow (temporary regime) the main explicative factors of the presence of nutrients, organic descriptors, and potentially toxic metals in the Guadiana streams. Analysis and remarks already reported in different studies, such as at the Dan River Watershed, at China [61], at the Altamaha, and Savannah River watersheds, at State of Georgia [7], and at the Siriri River basin, Brazil [67].…”
Section: Lulc and Hydrogeomorphology Influence On The Physico-chemicamentioning
confidence: 95%
“…Brazil is the country with the largest volume of freshwater reserves in the world. However, the high level of water pollution in Brazil means that many parts of the country lack the drinking water necessary to meet basic needs [106][107][108], and agricultural water runoff with high concentration of nutrients and toxic elements is the cause of this level of pollution [109][110][111]. Toxic cyanobacterial blooms have been observed in certain lagoons on the coast of Brazil [85,86,112,113], in the mouth of its rivers [114], in its reservoirs [115,116], and in other waterbodies [117].…”
Section: Transition Economiesmentioning
confidence: 99%