Interpolation in time series: An introductive overview of existing methods, their performance criteria and uncertainty assessment
A thorough review has been performed on interpolation methods to fill gaps in time-series,
efficiency criteria, and uncertainty quantifications. On one hand, there are numerous …
efficiency criteria, and uncertainty quantifications. On one hand, there are numerous …
[HTML][HTML] Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh
This study investigates the groundwater quality in the Faridpur district of central Bangladesh
based on preselected 60 sample points. Water evaluation indices and a number of statistical …
based on preselected 60 sample points. Water evaluation indices and a number of statistical …
Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis
Groundwater evaluation indices, multivariate statistical techniques, and geostatistical
models are applied to assess the source apportionment and spatial variability of …
models are applied to assess the source apportionment and spatial variability of …
[ΒΙΒΛΙΟ][B] Random fields for spatial data modeling
DT Hristopulos - 2020 - Springer
The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …
and robust GIScience methods for use in transdisciplinary problem solving and decision …
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
Summary Artificial Neural Networks (ANNs) and Kriging have both been used for hydraulic
head simulation. In this study, the two methodologies were combined in order to simulate the …
head simulation. In this study, the two methodologies were combined in order to simulate the …
Modeling for sustainable groundwater management: Interdependence and potential complementarity of process-based, data-driven and system dynamics approaches
Groundwater systems are vast natural water reservoirs used to support human water
demands and ecosystem services. Various modeling approaches have been developed to …
demands and ecosystem services. Various modeling approaches have been developed to …
A study of groundwater irrigation water quality in south-central Bangladesh: a geo-statistical model approach using GIS and multivariate statistics
Southern Bangladesh's irrigation and drinking water is threatened by saline intrusion. This
study aimed to establish an irrigation water quality index (IWQI) using a geostatistical model …
study aimed to establish an irrigation water quality index (IWQI) using a geostatistical model …
Empirical Bayesian Kriging method to evaluate inter-annual water-table evolution in the Cuenca Alta del Río Laja aquifer, Guanajuato, México
The evolution of the water-table in the Cuenca Alta del Río Laja aquifer (CARL aquifer) was
investigated using Empirical Bayesian Kriging (EBK) utilizing ArcGIS® and the Curve-Fit tool …
investigated using Empirical Bayesian Kriging (EBK) utilizing ArcGIS® and the Curve-Fit tool …
[HTML][HTML] Artificial intelligence models to evaluate the impact of climate change on groundwater resources
This study develops three different artificial intelligence (AI) models in order to investigate
the effects of climate change on groundwater resources using historical records of …
the effects of climate change on groundwater resources using historical records of …
Assessing irrigation water quality in Faridpur district of Bangladesh using several indices and statistical approaches
Several water quality indices, ie, salinity hazard (SH), sodium percentage (Na%), sodium
adsorption ratio (SAR), permeability index (PI), magnesium hazard (MH), Kelly's ratio (KR) …
adsorption ratio (SAR), permeability index (PI), magnesium hazard (MH), Kelly's ratio (KR) …