Application of geostatistical methods to groundwater salinization problems: A review

•This article reviews the recent key applications of geostatistical methods to address challenges relevant to groundwater salinization.•Numerous studies are discussed that employ geostatistical and multivariate tools for identifying the origin of salinity sources and clarifying the relationship amon...

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Vydáno v:Journal of hydrology (Amsterdam) Ročník 615; s. 128566
Hlavní autoři: Panagiotou, Constantinos F., Kyriakidis, Phaedon, Tziritis, Evangelos
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.12.2022
Témata:
Geostatistical simulations
geostatistics
groundwater
Groundwater salinization
Kriging
Multivariate statistics
salinity
Surrogate models
uncertainty
water management
water salinization
water solubility
Geostatistical simulations
Groundwater salinization
Surrogate models
Multivariate statistics
Kriging
ISSN:0022-1694, 1879-2707
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Shrnutí:•This article reviews the recent key applications of geostatistical methods to address challenges relevant to groundwater salinization.•Numerous studies are discussed that employ geostatistical and multivariate tools for identifying the origin of salinity sources and clarifying the relationship among salinity indicators and groundwater processes.•A plethora of studies are discussed that consider the quantification of the uncertainty propagation of the inputs to the outputs of either physically-based or surrogate models of the geological systems.•Several recommendations and future directions are identified in terms of the most popular methods and key geostatistical methods whose application in this thematic area is still very limited.•Reducing computational cost is expected to remain a significant challenge. Groundwater salinization is considered to be one of the most severe and complex phenomena affecting coastal regions worldwide, occurring when high concentrations of water-soluble salts are present in groundwater systems. Geostatistics is a branch of statistics used to analyze and predict the spatio-temporal variability of such complex phenomena. In particular, numerous geostatistical approaches and technologies are currently used to identify and map salinity-affected regions, investigate how salinity indicators influence groundwater mechanisms, and eventually design optimal groundwater management policies. This article reviews recent key applications of geostatistical methods to address challenges relevant to groundwater salinization. The basic principles of geostatistics are briefly described, and numerous studies are discussed that employ geostatistical and multivariate tools for identifying the origin of salinity sources, clarifying the relationship among salinity indicators and groundwater processes, and propagating the uncertainty of the inputs to the outputs of either physically-based or surrogate models of relevant geological systems. Finally, several recommendations and future directions are identified with regards to the most popular methods and with regards to key geostatistical methods whose application in this thematic area is still very limited.
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ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2022.128566