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1
Simultaneous identification of groundwater contaminant sources and simulation of model parameters based on an improved single-component adaptive Metropolis algorithm
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Simultaneous identification of groundwater contaminant sources and simulation of model parameters based on an improved single-component adaptive Metropolis algorithm

Hydrogeology journal, 2021-03, Vol.29 (2), p.859-873 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-020-02257-0

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2
Optimizing river damming and impounding strategies to mitigate seawater intrusion in the coastal aquifer of Dagu River Basin, China
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Optimizing river damming and impounding strategies to mitigate seawater intrusion in the coastal aquifer of Dagu River Basin, China

Hydrogeology journal, 2022-03, Vol.30 (2), p.557-573 [Peer Reviewed Journal]

The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 ;The Author(s), under exclusive licence to International Association of Hydrogeologists 2022. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-022-02451-2

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3
Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China
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Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China

Hydrogeology journal, 2018-11, Vol.26 (7), p.2327-2340 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Hydrogeology Journal is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-018-1767-5

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4
Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms
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Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms

Hydrogeology journal, 2017-03, Vol.25 (2), p.311-330 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2016 ;Hydrogeology Journal is a copyright of Springer, 2017. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-016-1478-8

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5
A genetic meta-algorithm-assisted inversion approach: hydrogeological study for the determination of volumetric rock properties and matrix and fluid parameters in unsaturated formations
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A genetic meta-algorithm-assisted inversion approach: hydrogeological study for the determination of volumetric rock properties and matrix and fluid parameters in unsaturated formations

Hydrogeology journal, 2018-09, Vol.26 (6), p.1935-1946 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Hydrogeology Journal is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-018-1749-7

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6
Optimization of groundwater artificial recharge systems using a genetic algorithm: a case study in Beijing, China
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Optimization of groundwater artificial recharge systems using a genetic algorithm: a case study in Beijing, China

Hydrogeology journal, 2018-08, Vol.26 (5), p.1749-1761 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Hydrogeology Journal is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-018-1781-7

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7
The stochastic simulation of karst conduit network structure using anisotropic fast marching, and its application to a geologically complex alpine karst system
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The stochastic simulation of karst conduit network structure using anisotropic fast marching, and its application to a geologically complex alpine karst system

Hydrogeology journal, 2022-05, Vol.30 (3), p.927-946 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-022-02464-x

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8
An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa
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An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa

Hydrogeology journal, 2022-03, Vol.30 (2), p.575-600 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-021-02439-4

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9
Improving the spatial resolution of GRACE-based groundwater storage estimates using a machine learning algorithm and hydrological model
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Improving the spatial resolution of GRACE-based groundwater storage estimates using a machine learning algorithm and hydrological model

Hydrogeology journal, 2022-05, Vol.30 (3), p.947-963 [Peer Reviewed Journal]

The Author(s), under exclusive licence to International Association of Hydrogeologists 2022 ;The Author(s), under exclusive licence to International Association of Hydrogeologists 2022. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-021-02447-4

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10
Numerical calculation and multi-factor analysis of slurry diffusion in an inclined geological fracture
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Numerical calculation and multi-factor analysis of slurry diffusion in an inclined geological fracture

Hydrogeology journal, 2020-05, Vol.28 (3), p.1107-1124 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-019-02103-y

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11
An adaptive dynamic surrogate model using a constrained trust region algorithm: application to DNAPL-contaminated-groundwater-remediation design
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An adaptive dynamic surrogate model using a constrained trust region algorithm: application to DNAPL-contaminated-groundwater-remediation design

Hydrogeology journal, 2020-06, Vol.28 (4), p.1285-1298 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-020-02130-0

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12
Optimal design of groundwater monitoring networks using gamma test theory
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Optimal design of groundwater monitoring networks using gamma test theory

Hydrogeology journal, 2020-06, Vol.28 (4), p.1389-1402 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-020-02115-z

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13
A novel distance that reduces information loss in continuous characters with few observations
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A novel distance that reduces information loss in continuous characters with few observations

Palaeontologia electronica, 2023 [Peer Reviewed Journal]

ISSN: 1935-3952 ;EISSN: 1094-8074 ;DOI: 10.26879/1250

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14
Identification of non-Gaussian parameters in heterogeneous aquifers by a modified probability conditioning method through hydraulic-head assimilation
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Identification of non-Gaussian parameters in heterogeneous aquifers by a modified probability conditioning method through hydraulic-head assimilation

Hydrogeology journal, 2021-03, Vol.29 (2), p.819-839 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-020-02243-6

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15
Assessing flow paths in a karst aquifer based on multiple dye tracing tests using stochastic simulation and the MODFLOW-CFP code
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Assessing flow paths in a karst aquifer based on multiple dye tracing tests using stochastic simulation and the MODFLOW-CFP code

Hydrogeology journal, 2017-09, Vol.25 (6), p.1679-1702 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2017 ;Hydrogeology Journal is a copyright of Springer, 2017. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-017-1595-z

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16
Application of statistical classification methods for predicting the acceptability of well-water quality
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Article
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Application of statistical classification methods for predicting the acceptability of well-water quality

Hydrogeology journal, 2018-06, Vol.26 (4), p.1099-1115 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Hydrogeology Journal is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-018-1727-0

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17
The impact of groundwater velocity fields on streamlines in an aquifer system with a discontinuous aquitard (Inner Mongolia, China)
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The impact of groundwater velocity fields on streamlines in an aquifer system with a discontinuous aquitard (Inner Mongolia, China)

Hydrogeology journal, 2018-11, Vol.26 (7), p.2161-2172 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Hydrogeology Journal is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-018-1770-x

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18
A method for the estimation of dual transmissivities from slug tests
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A method for the estimation of dual transmissivities from slug tests

Hydrogeology journal, 2018-03, Vol.26 (2), p.407-416 [Peer Reviewed Journal]

The Author(s) 2017 ;Hydrogeology Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-017-1682-1

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19
Application of differential evolutionary optimization methodology for parameter structure identification in groundwater modeling
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Application of differential evolutionary optimization methodology for parameter structure identification in groundwater modeling

Hydrogeology journal, 2014-12, Vol.22 (8), p.1731-1748 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2014 ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-014-1172-7

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20
Prediction of the Groundwater Rebound Process in a Backfilled Open Cut Mine Using an Artificial Neural Network
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Article
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Prediction of the Groundwater Rebound Process in a Backfilled Open Cut Mine Using an Artificial Neural Network

Mine water and the environment, 2013-12, Vol.32 (4), p.251-257 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;Springer-Verlag Berlin Heidelberg 2013. ;ISSN: 1025-9112 ;EISSN: 1616-1068 ;DOI: 10.1007/s10230-013-0243-7

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Results 1 - 20 of 22  for All Library Resources

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