2004
DOI: 10.1016/j.pce.2004.05.001
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Implementing river water quality modelling issues in mesoscale watershed models for water policy demands––an overview on current concepts, deficits, and future tasks

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Cited by 73 publications
(49 citation statements)
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“…It is made from the data of individuals and variables. AHC allowed to establish a typology of the samples according to the temperature, turbidity, R H , NO 3 -and NO 2 -. The Multiple Linear Regression (RML) statistical technique is used to study the relationship between a dependent variable (Property) and several independent variables (descriptors).…”
Section: Statistical Analyzesmentioning
confidence: 99%
See 1 more Smart Citation
“…It is made from the data of individuals and variables. AHC allowed to establish a typology of the samples according to the temperature, turbidity, R H , NO 3 -and NO 2 -. The Multiple Linear Regression (RML) statistical technique is used to study the relationship between a dependent variable (Property) and several independent variables (descriptors).…”
Section: Statistical Analyzesmentioning
confidence: 99%
“…Significant efforts have been made in recent decades to develop water management strategies in order to ensure good quality of water [3]. The quality of water is also one of the main cause of most public health problems in developing countries [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…Horn et al (2004) and Migliaccio et al (2006) concluded that further testing and refinement of the SWAT in-stream algorithms is required. Improved stream channel degradation and sediment deposition routines are necessary to better describe sediment transport, improving on the simple channel and degradation routines described by Allen et al (2008).…”
Section: Directions For Future Researchmentioning
confidence: 99%
“…cause eutrophication of water bodies (Bukantis et al 2008;AAA 2010;Ferreira et al 2011;Bagdžiūnaitė-Litvinaitienė, Litvinaitis 2014). The areas sensitive to eutrophication are in need for higher protection (Horn et al 2004;Borja et al 2006).…”
Section: Introductionmentioning
confidence: 99%