Best applicable geostatistical model for interpolating groundwater-levels in El-Obour city, Egypt
Hagras, Mona; Dina Ellithy; Peter Hany Ryad; Ahmad Ali Hassan;
Abstract
The lack of data, mainly in the field of hydrogeology and groundwater especially,
makes it necessary to implement a special estimation technique to overcome this
shortage. Nowadays, geostatistics have become a popular mean to describe spatial
patterns and to predict the value of unmeasured locations (Kriging). Many types
of Kriging could be used such as ordinary, simple, universal Kriging. Each type
has a different underlying assumption. The aim of this paper is to put a
methodology that could be used for identifying the most suitable geostatistical
model for interpolating groundwater-level data collected from District VI, El-
Obour city using geographical information systems (GIS) to generate a prediction
error map with good accuracy that could be used further on designing and/or
optimizing the existing monitoring network. The procedure has to 1) build all
available geostatistical models depending on Hierarchy Stepwise criteria,
2) compare them using cross-validation statistical parameters, and 3) choose the
best suitable model for the study area. It was found that 1) the ordinary Kriging
method, 2) fitted with a Gaussian function, 3) of groundwater-level skewed data
normalized using Box-Cox with a power parameter equal to 2, and 4) no trend
removal, all of them together compose the best matched model for the studied area.
makes it necessary to implement a special estimation technique to overcome this
shortage. Nowadays, geostatistics have become a popular mean to describe spatial
patterns and to predict the value of unmeasured locations (Kriging). Many types
of Kriging could be used such as ordinary, simple, universal Kriging. Each type
has a different underlying assumption. The aim of this paper is to put a
methodology that could be used for identifying the most suitable geostatistical
model for interpolating groundwater-level data collected from District VI, El-
Obour city using geographical information systems (GIS) to generate a prediction
error map with good accuracy that could be used further on designing and/or
optimizing the existing monitoring network. The procedure has to 1) build all
available geostatistical models depending on Hierarchy Stepwise criteria,
2) compare them using cross-validation statistical parameters, and 3) choose the
best suitable model for the study area. It was found that 1) the ordinary Kriging
method, 2) fitted with a Gaussian function, 3) of groundwater-level skewed data
normalized using Box-Cox with a power parameter equal to 2, and 4) no trend
removal, all of them together compose the best matched model for the studied area.
Other data
Title | Best applicable geostatistical model for interpolating groundwater-levels in El-Obour city, Egypt | Authors | Hagras, Mona ; Dina Ellithy ; Peter Hany Ryad ; Ahmad Ali Hassan | Keywords | groundwater-level interpolation, geostatistics, Kriging, geostatistical model comparison, El-Obour, Egypt | Issue Date | 2015 | Publisher | WIT Transactions on The Built Environment | Journal | Sustainable Development, Vol. 1 | DOI | 10.2495/SD150381 |
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