Search Results - "Broda, Stefan"
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Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
Published in Nature communications (09-03-2022)“…In this study we investigate how climate change will directly influence the groundwater resources in Germany during the 21 st century. We apply a machine…”
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Multiorder hydrologic Position for Europe — a Set of Features for Machine Learning and Analysis in Hydrology
Published in Scientific data (29-10-2022)“…The presented dataset EU-MOHP v013.1.1 provides multiscale information on the hydrologic position (MOHP) of a geographic point within its respective river…”
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Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)
Published in Journal of hydrology (Amsterdam) (01-12-2018)“…•NARX were applied to obtain groundwater level forecasts with lead times up to half a year.•Porous, fractured and karst aquifers with and without external…”
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Published in Hydrology and earth system sciences (01-04-2021)“…It is now well established to use shallow artificial neural networks (ANNs) to obtain accurate and reliable groundwater level forecasts, which are an important…”
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Global distribution of carbonate rocks and karst water resources
Published in Hydrogeology journal (01-08-2020)“…Karst regions offer a variety of natural resources such as freshwater and biodiversity, and many cultural resources. The World Karst Aquifer Map (WOKAM) is the…”
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Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles
Published in Water resources management (2022)“…Hydrograph clustering helps to identify dynamic patterns within aquifers systems, an important foundation of characterizing groundwater systems and their…”
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Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory
Published in Hydrology and earth system sciences (01-04-2021)“…It is now well established to use shallow artificial neural networks (ANNs) to obtain accurate and reliable groundwater level forecasts, which are an important…”
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Groundwater-surface water interactions in Canada
Published in Canadian water resources journal (01-10-2016)Get full text
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Analysing agricultural plant protection product concentrations in groundwater in Germany: Nationwide database with site and compound insights
Published in Environmental research (01-05-2024)“…Pesticides from agricultural practices are among the most pressing reasons why groundwater sources do not reach the good chemical status standards as required…”
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On the challenges of global entity-aware deep learning models for groundwater level prediction
Published in Hydrology and earth system sciences (08-02-2024)“…The application of machine learning (ML) including deep learning models in hydrogeology to model and predict groundwater level in monitoring wells has gained…”
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Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
Published in Hydrology and earth system sciences (07-10-2024)“…Groundwater level (GWL) forecasting with machine learning has been widely studied due to its generally accurate results and low input data requirements…”
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Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models
Published in Hydrogeology journal (01-02-2015)“…Several groundwater-level forecasting studies have shown that data-driven models are simpler, faster to develop, and provide more accurate and precise results…”
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Fiber Optic Measurements of Soil Moisture in a Waste Rock Pile
Published in Ground water (01-07-2021)“…The design and construction of a waste rock pile influences water infiltration and may promote the production of contaminated mine drainage. The objective of…”
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Laboratory-scale assessment of a capillary barrier using fibre optic distributed temperature sensing (FO-DTS)
Published in Canadian geotechnical journal (2020)“…Recent waste rock pile designs have been proposed to incorporate a fine-grained layer to create a capillary barrier to prevent surface water from draining into…”
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Three-dimensional hydrogeological modeling to assess the elevated-water-table technique for controlling acid generation from an abandoned tailings site in Quebec, Canada
Published in Hydrogeology journal (01-06-2018)“…The Manitou Mine sulphidic-tailings storage facility No. 2, near Val D’Or, Canada, was reclaimed in 2009 by elevating the water table and applying a monolayer…”
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Simulation of Distributed Base Flow Contributions to Streamflow Using a Hillslope-Based Catchment Model Coupled to a Regional-Scale Groundwater Model
Published in Journal of hydrologic engineering (01-05-2014)“…AbstractThe estimation of base flow contributions to streamflow, and in particular the partitioning of base flow into shallow and deep aquifer components, is a…”
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Analyzing variation of the water table level with three-dimensional numerical simulations to assess reclamation techniques for an acidic tailings impoundment
Published in Canadian geotechnical journal (01-06-2021)“…Tailings with sulphide minerals exposed to oxygen and water can oxidize and produce acid mine drainage (AMD). This study evaluated the impact of natural…”
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Carbonate rocks and karst water resources in the Mediterranean region
Published in Hydrogeology journal (01-08-2024)“…Carbonate rocks in the Mediterranean region form karst landscapes with a variety of morphological and hydrological features, and are of particular interest…”
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In situ evaluation of performance of reclamation measures implemented on abandoned reactive tailings disposal site
Published in Canadian geotechnical journal (01-12-2018)“…The abandoned Manitou mine site produced acid mine drainage for decades. One of the site’s tailings storage facilities (TSF 2) was reclaimed in 2009 using an…”
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Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Published 01-11-2022“…Subsurface tile drainage pipes provide agronomic, economic and environmental benefits. By lowering the water table of wet soils, they improve the aeration of…”
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