2015
DOI: 10.1007/s10113-015-0822-1
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Climatic and human drivers of recent lake-level change in East Juyan Lake, China

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Cited by 18 publications
(11 citation statements)
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“…Table 5 shows that 11 of the 18 surveyed of the water quality indices has a significant contribution defined in this analysis of volatility, particularly strong positive correlations showed Chl a, temperature, pH, and thus parameters characterizing the processes of proliferation of biomass phytoplankton, COD-Cr, TN, TH, Ca 2+ , which variation is associated primarily with the inflow of water from the river Gunica rich in organic matter and the suspension, and -SO 4 2-and Fe tot , which means the existence of persisting coagulant (FeSO 4 ) impact on the ecosystem of the Glebokie Lake. Wilks 'λ -standard statistics used to determine the statistical significance of the current discriminative power of the model (range from 1 to 0, where 0 indicates perfect discriminatory power); Partial Wilks' λ -defining the specific contribution of the variable to discrimination group (the smaller the value, the greater the discriminatory power of the variable); Tolerance -determines the redundancy of a given variable, defined as 1 -R 2 [26,32].…”
Section: Principal Component Analysis/factor Analysismentioning
confidence: 93%
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“…Table 5 shows that 11 of the 18 surveyed of the water quality indices has a significant contribution defined in this analysis of volatility, particularly strong positive correlations showed Chl a, temperature, pH, and thus parameters characterizing the processes of proliferation of biomass phytoplankton, COD-Cr, TN, TH, Ca 2+ , which variation is associated primarily with the inflow of water from the river Gunica rich in organic matter and the suspension, and -SO 4 2-and Fe tot , which means the existence of persisting coagulant (FeSO 4 ) impact on the ecosystem of the Glebokie Lake. Wilks 'λ -standard statistics used to determine the statistical significance of the current discriminative power of the model (range from 1 to 0, where 0 indicates perfect discriminatory power); Partial Wilks' λ -defining the specific contribution of the variable to discrimination group (the smaller the value, the greater the discriminatory power of the variable); Tolerance -determines the redundancy of a given variable, defined as 1 -R 2 [26,32].…”
Section: Principal Component Analysis/factor Analysismentioning
confidence: 93%
“…Also PC3 (13.6% of total variance) was positively correlated with Chl a and NO 2 -and negatively with SRP and Fe tot while PC4 (7.8% of the total variance) showed only negative correlation with Chl a, SRP, TP and alkalinity -showing a big influence of phytoplankton blooms (multiplication phytoplankton biomass). The last principal component -PC5 -described 6.1% of the total variance and was strongly positively correlated with SO 4 2-and Fe tot and negatively with pH. PC5.…”
Section: Principal Component Analysis/factor Analysismentioning
confidence: 97%
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