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1.Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques

作者：Mimgsong Xiao ; Fangyin Bao ; Song Wang ; Feng Cui

关键词：surface water quality ; multivariate statistical analysis ; parameter reduction ; Huaihe River segment of Bengbu

刊名：Water Resources

出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science Business Media LLC.

年：2016

2.Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality

作者：Lazhar Belkhiri ; Tahoora Sheikhy Narany

关键词：Cluster analysis ; Principal component and factor analyses ; One ; way ANOVA ; Geostatistical techniques ; Structural equation modeling ; Groundwater quality

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

3.Application of multivariate statistical analysis and hydrochemical and isotopic investigations for evaluation of groundwater quality and its suitability for drinking and agriculture purposes: case of Oum Ali-Thelepte aquifer, central Tunisia

作者：Imen Hassen ; Fadoua Hamzaoui-Azaza…

关键词：Groundwater quality ; Hydrogeochemistry ; Multivariate analysis ; Geochemical modelling ; Stable isotopes ; Oum Ali ; Thelepte

刊名：Environmental Monitoring and Assessment

出版者：Springer Netherlands

年：2016

4.Understanding factors influencing groundwater levels in hard-rock aquifer systems by using multivariate statistical techniques

作者：Deepesh Machiwal ; P. K. Singh

关键词：Groundwater level ; Hierarchical cluster analysis ; Principal component analysis ; Spatial and temporal variability

刊名：Environmental Earth Sciences

出版者：Springer Berlin Heidelberg

年：2015

5.The use of hydrogeochemical analyses and multivariate statistics for the characterization of groundwater resources in a complex aquifer system. A case study in Amyros River basin, Thessaly, central Greece

作者：Evangelos Tziritis ; Konstantinos Skordas…

关键词：Hydrogeochemistry ; Groundwater quality ; Major ion molar ratios ; Multivariate statistics ; Thessaly

刊名：Environmental Earth Sciences

出版者：Springer Berlin Heidelberg

年：2016

6.Integrated Assessment of Spatial and Temporal Variations of Groundwater Quality in the Eastern Area of Urmia Salt Lake Basin Using Multivariate Statistical Analysis

作者：Reza Dehghanzadeh ; Navid Safavy Hir ; Jafar Shamsy Sis…

关键词：Groundwater ; Hydrogeochemistry ; Multivariate statistical analysis ; Principal component analysis ; Hierarchical cluster analysis

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

7.Appraisal of urban lake water quality through numerical index, multivariate statistics and earth observation data sets

作者：S. K. Singh ; Prafull Singh ; S. K. Gautam

关键词：Lake ; Land use/land cover change ; Pollution ; Earth observation data sets

刊名：International Journal of Environmental Science and Technology

出版者：Springer Berlin Heidelberg

年：2016

8.A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

作者：Seyed Amir Naghibi ; Hamid Reza Pourghasemi

关键词：Groundwater potential mapping ; Boosted regression tree ; Classification and regression tree ; Random forest ; General linear model ; Evidential belief function ; GIS

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

9.Assessment and rationalization of water quality monitoring network: a multivariate statistical approach to the Kabbini River (India)

作者：Musthafa Odayooth Mavukkandy (1) Subhankar Karmakar (2) (3) P. S. Harikumar (4)

关键词：Cluster analysis ; Factor analysis ; Kabbini River ; Multivariate statistics ; Principal component analysis ; Rationalization ; Water quality monitoring network

刊名：Environmental Science and Pollution Research

年：2014

10.Application of a partial least-squares regression model to retrieve chlorophyll-a concentrations in coastal waters using hyper-spectral data

作者：Kimberly Ryan ; Khalid Ali

刊名：Ocean Science Journal

出版者：Korean Ocean Research and Development Institute (KORDI) and the Korean Society of Oceanography, co-p

年：2016

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