2019
DOI: 10.3390/w11040684
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Can Land Cover Changes Mitigate Large Floods? A Reflection Based on Partial Least Squares-Path Modeling

Abstract: Common approaches to large flood management are Natural Water Retention Measures and detention basins. In this study, a Partial Least Squares-Path Model (PLS-PM) was defined to set up a relationship between dam wall heights and biophysical parameters, in critical flood risk zones of continental Portugal. The purpose was to verify if the heights responded to changes in the biophysical variables, and in those cases to forecast landscape changes capable to reduce the heights towards sustainable values (e.g., <… Show more

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Cited by 19 publications
(8 citation statements)
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“…Furthermore, PLS-PM is reported to be a soft modeling method applied to model fundamental paths among blocks of parameters 44 . It is preferred by different researchers as it is simple with no strong assumptions regarding the sample size, distributions, and the estimation scale requirement 45 . Its application in this study eased the estimation of the complex cause-effect correlation among LULC variables, water quality parameters in both seasons, and the NSF-WQI values.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, PLS-PM is reported to be a soft modeling method applied to model fundamental paths among blocks of parameters 44 . It is preferred by different researchers as it is simple with no strong assumptions regarding the sample size, distributions, and the estimation scale requirement 45 . Its application in this study eased the estimation of the complex cause-effect correlation among LULC variables, water quality parameters in both seasons, and the NSF-WQI values.…”
Section: Methodsmentioning
confidence: 99%
“…Now, it has a considerable scale in some western developed countries. In some highly urbanized regions and countries, rural tourism can account for 10%-25% of all tourism activities [14][15][16]. e development of rural tourism has effectively changed the phenomenon of rural economic downturn.…”
Section: Network Informationization Of Rural Tourism Based On Mvc Modelmentioning
confidence: 99%
“…The used algorithm attributed weights to the measured variables and patch coefficients to the connections between latent variables in order to maximize the R 2 values. For a detailed explanation of the calculation procedure, please see the recent work by Terêncio et al [89]. Figure 3 portrays the spatial data.…”
Section: Dataset Preparationmentioning
confidence: 99%