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13 results for “hydrogeology”
Hydrogeological data of groundwater and precipitation monitored in the Vögelsberg landslide catchment
<p>Data contains hydrogeological data of precipitation and groundwater within the catchment of the Vögelsberg landslide (Tyrol, Austria) monitored between 2017-11-22 and 2021-07-05. The dataset provides time series of discharge, temperature, electrical conductivity and stable isotope ratios in groundwater and precipitation. Dataset is associated to following preprint: “Pfeiffer, J.; Zieher, T.; Schmieder, J.; Bogaard, T.; Rutzinger, M. and Spötl, C. (2021) Spatial assessment of probable recharge areas - Investigating the hydrogeological controls of an active deep-seated gravitational slope deformation, Natural Hazards and Earth System Sciences Discussions, Vol. 2021, p. 1-29, <a href="https://doi.org/10.5194/nhess-2021-388">https://doi.org/10.5194/nhess-2021-388</a>”. Accompanying readme file gives a detailed description of data fields contained in the published data.</p>
Vectorized Hydrogeology Map of Rondônia - Brazil
<p>Vectorized Hydrogeology Map for the State of Rondônia - Brazil.</p> <p>Hydrogeology map was vectorized from CPRM [SERVIÇO GEOLÓGICO DO BRASIL]. 1998. State of Rondônia Hydrogeological Map. [Porto Velho]. Map. Scale: 1:1.000.000. Programa de Recursos Hídricos - PRH. Available on https://rigeo.sgb.gov.br/handle/doc/5364.<br><br>Citation: CPRM [SERVIÇO GEOLÓGICO DO BRASIL]. 1998. State of Rondônia Hydrogeological Map. [Porto Velho]. Map. Scale: 1:1.000.000. Programa de Recursos Hídricos - PRH.</p>
Hydrogeological Survey in the Mincio River and Goito aquifer for the hydrological year 2020-2021
<p>Data collected from 2020 to 2021 in surface- and groundwater in the Goito aquifer and Mincio River (Po Plain, northen Italy). These data were published in <a href="https://doi.org/10.3390/hydrology9030044">https://doi.org/10.3390/hydrology9030044</a>.</p>
Hydrogeological model for the island of Norderney (Germany)
<p>This record provides a hydrogeological model for the island of Norderney (Germany). The dataset is associated with the data paper "Development of a three-dimensional hydrogeological model for the island of Norderney (Germany) using GemPy" published in <em>Geoscience Data Journal </em>(<a href="https://doi.org/10.1002/gdj3.208">https://doi.org/10.1002/gdj3.208</a>).</p> <p><strong>Brief summary of the record contents</strong></p> <ul> <li><strong>figures.zip </strong>contains figures presented in the manuscript and corresponding Python scripts to create them.</li> <li><strong>hydrgeological_model_3D_voxel.zip </strong>contains the GemPy model output data and parameter setting as well as discretization informations.</li> <li><strong>hydrogeological_model_layer_raster.zip </strong>contains GeoTIFF files of the layer bases and thicknesses of the hydrogeological model.</li> <li><strong>tables.zip </strong>contains csv-files for tables present in the supplementary information</li> <li><strong>workflow.zip</strong> contains the entire processing workflow of the primary data and model development as well as creation.</li> </ul> <p><strong>Required software</strong></p> <p>Python (Version 3.9.13), R (Version 4.2.1), GemPy (Version 2.2.11), QGIS (Version 3.20.1).</p> <p><strong>Changes to v1.2.1</strong></p> <ul> <li>Included folder 'tables/'</li> </ul> <p><strong>Changes to v1.2.0</strong></p> <ul> <li>Correction of a typo in script for Figure 4 in folder 'figures/'</li> <li>Adaption of figure scripts to journal requirements regarding file types</li> </ul> <p><strong>Changes to v1.1.0</strong></p> <ul> <li>New figures added in 'figures/'. Fig5, Fig7, and FigS1 (other figures renamed accordingly)</li> <li>new folder 'tables/' with added Tables TabS1 and TabS2</li> <li>technical correction in README file (qL/T to qL/C)</li> <li>additional data congruence analysis, with additional script 's03d_check_hgsm_3d_congruence.py' and folder 'congruence_check/' in 'workflow/C_hgsm_nor_3d/'</li> </ul>
alecomunian/wwhypda: Hydrogeology Journal (2009)
<p>This release contains the dataset related to the main publication about wwhypda, that is: <em>Introducing wwhypda: a world-wide collaborative hydrogeological parameters database</em> Hydrogeology Journal 17(2) DOI: <a href="http://dx.doi.org/10.1007/s10040-008-0387-x">10.1007/s10040-008-0387-x</a>, by A.Comunian and P.Renard (2009). The data set is provided in two formats:</p> <ul> <li>MySQL dump</li> <li>SQLite database</li> </ul>
Hydrogeology, Geochemistry, and Groundwater Study within the Coweeta Hydrologic Laboratory, 2006-2010
The primary objectives of the study were to: (1) characterize the ground water geochemistry in a pristine, mountain setting underlain by felsic gneiss and evaluate changes over time and space within the local groundwater system; (2) evaluate the hydraulic communication between the shallow regolith and deeper bedrock flow systems and the local flow dynamics between ground and surface water in both recharge and discharge areas; (3) evaluate the regolith-bedrock transition zone and its role as a preferential groundwater flow pathway; (4) characterize aquifer properties in the regolith and bedrock in selected areas; (5) determine the age of groundwater and time of travel from a recharge area to a discharge area; and (6) track water level fluctuations over time, in response to fluctuations in evapotranspiration, rainfall, and seasonal climate.
Nauj29/Mexico_Basin: Hydrogeological sections update
<p>This is release 2.1 of the Mexico Basin project, which updates hydrogeological cross sections.</p>
Transition and Drivers of Elastic to Inelastic Deformation in the Abarkuh Plain from InSAR Multi-Sensor Time Series and Hydrogeological Data
<p>This repository contains the datasets used in <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023JB026430">Mirzadeh et al., 2023</a>. It includes three InSAR time-series datasets from the Envisat descending orbit, ALOS-1 ascending orbit, and Sentinel-1A in ascending and descending orbits, acquired over the Abarkuh Plain, Iran, as well as the geological map of the study area and the GNSS and hydrogeological data used in this research.</p> <p>Dataset 1: Envisat descending track 292</p> <ul> <li>Date: 06 Oct 2003 - 05 Sep 2005 (12 acquisitions)</li> <li>Processor: ISCE/stripmapStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_LOD_tropHgt_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> <p>Dataset 2: ALOS-1 ascending track 569</p> <ul> <li>Date: 06 Dec 2006 - 17 Dec 2010 (14 acquisitions)</li> <li>Processor: ISCE/stripmapStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> <p>Dataset 2: Sentinel-1 ascending track 130 and descending track 137</p> <ul> <li>Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 27 Oct 2014 - 29 Mar 2020 (114 descending acquisitions)</li> <li>Processor: ISCE/topsStack + MintPy</li> <li>Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5</li> <li>Mean LOS Velocity (in HDF-EOS5 format): velocity.h5</li> <li>Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5</li> <li>Geometry (in HDF-EOS5 format): geometryRadar.h5</li> </ul> <p>The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products and the MintPy commands/functions.</p>
Dataset for publication 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'
<p>This dataset includes all data and information on how to reproduce the results and the figures of the paper 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'.</p>
Geomechanical and hydrogeological models for different hillslopes and tectonic stresses
<p>This dataset contains the data used in the manuscript “Impacts of stress-dependent hydraulic properties on hillslope-scale groundwater flow”. The geomechanical models (RS_SXX) can be open with RS2 - Rocsience, and the hydrogeological models can be open using MODFLOW softwares (flopy recomended).</p>
Research data related to the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)"
<p><strong>Research Data related to the publication "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023) published in <em>Water Resources Research</em> </strong></p> <p>Dear reader,</p> <p>research data are provided for the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023). The authors hope that the research data allows for a better understanding of the paleo-modeling workflow. Feedback on the model files or questions regarding the modeling approach etc. can be addressed to the authors of the article, see contact details below. The research data comprises the following files:</p> <ul> <li>files related to the parameter estimation procedure using PEST (Doherty, 2021a,b) (see subfolder "<em>parameter_estimation</em>")</li> <li>iMOD-Python (Visser and Bootsma, 2019) scripts to create the iMOD-WQ (Verkaik et al., 2021) input files for each model variant. Note that model variants consist of several time slice models, indicated by the corresponding file names, e.g., '<em>Model_BC_slice_01.py'</em> etc. (see '<em>scripts.zip</em>' in the subfolders 'Model BC', 'Model CP', 'Model NE-ND-NP', 'Model NE-NP', 'Model NG', 'Model NP', 'Model R1', 'Model R2', 'Model R3', 'Model R4', 'Model R5', 'Model R6', 'Model SS')</li> <li>simulation output files, including concentration and head data for each model stress period (3-D), mean/max. concentration and head data for each model stress period (2-D), as well as depth [mbgs] of different salinity interfaces (2-D), i.e., marking the transitions from fresher to more saline groundwater using thresholds of 0.45 ('<em>depth_interface_mbgs</em>'), 1, 5, 10 and 20 g TDS L<sup>-1</sup>, respectively (see subfolders '<em>output/npy_arrays'</em> within each model variant subfolder). Moreover, sea levels, time slice names and stress period numbers are provided in the '<em>output/npy_arrays'</em> subfolders as well as final concentrations and heads (3-D) for each time slice model of each model variant (e.g., '<em>Model_BC_slice_01_final_concentrations.npz</em>' and '<em>Model_BC_slice_01_final_heads.npz</em>'; see '<em>output.zip'</em> in the model variant subfolders)</li> <li>iMOD-Python (Visser and Bootsma, 2019) input files, such as digital elevation models, geologic models etc. (see subfolder '<em>imod_input'</em>). However, in most cases no consent for re-distribution of these data sets exists, and they cannot be made freely available through this publication. Please, consult the corresponding meta-data files or get in touch with one of the authors for further information</li> <li>bash scripts for the execution of iMOD-Python .py- and iMOD-WQ .run-files in a linux environment (see subfolder '<em>bash_scripts'</em>)</li> <li>figure files as well as the corresponding .py and .m scripts and shape-files, where applicable (see subfolder '<em>figures'</em>); note that consent for re-distribution for some figure input files doesn't exist, compare corresponding meta-data files</li> <li>videos presenting the concentration evolution of the different model variants (vertically averaged concentrations & cross-sectonal view, see subfolder '<em>videos'</em>)</li> </ul> <p>Meta-data files are usually provided with data files in the different subfolders for clarification.</p> <p>iMOD-WQ (Verkaik et al., 2021) input data and .run-files were executed on the University Oldenburg High-Performance Cluster 'Carl', running simulations in parallel with 32 computational cores.</p> <p>Further information on the iMOD suite can be found here: https://deltares.github.io/iMOD-Documentation/</p> <p>Literature:</p> <p>Doherty, J. E., (2021a). PEST Model-Independent Parameter Estimation User Manual Part I: PEST, SENSAN and Global Optimisers. Watermark Numerical Computing. p.394.</p> <p>Doherty, J. E. (2021b). PEST Model-Independent Parameter Estimation User Manual Part II: PEST Utility Support Software. Watermark Numerical Computing. p.274.</p> <p>Verkaik, J., Hughes, J. D., van Walsum, P. E. V., Oude Essink, G. H. P., Lin, H. X., & Bierkens, M. F. P. (2021). Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument. Environmental Modelling & Software, 143, p.105092.</p> <p>Visser, M., & Bootsma, H. (2019). iMOD-Python: Work with iMOD MODFLOW models in Python. Retrieved from https://imod.xyz/</p> <p><strong>If you have further questions, please, contact one of the following authors</strong>: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de) or Gudrun Massmann (gudrun.massmann@uol.de)</p>
Joint identification of groundwater contamination source and heterogeneous hydrogeological parameters in LNAPL contaminated site based on deep convolutional encoder-decoder neural networks
Open the record for dataset details and reuse information.
Altes Land hydrogeology
<p>DEM: MERIT DEM based digital elevation model of the Altes land</p> <p>Geology Altes Land: Geological layers of the Altes Land</p> <p>Groundwater measurements: Groundwater tables and salinities in Altes Land region</p> <p>Groundwater recharge: Modelled groundwater recharge of the Altes Land displayed in Figure 1 of the manuscript</p> <p>Surface water measurements: Surface water hydraulic heads and salinities in Altes Land region</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
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