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Marc F. P. Bierkens

Editor, Water Resources Research

A schematic of the mechanism that explains why shallow lakes are more sensitive to shallow water pollution with Arsenic than deep lakes.
Posted inEditors' Highlights

Understanding Enhanced Arsenic Pollution in Shallow Lakes

by Marc F. P. Bierkens 29 November 202225 January 2023

A new study explains why the arsenic that has accumulated in lake bottom sediments is more harmful to the lake ecosystems in shallow lakes.

Experimental design of the calibration and testing experiments performed by Shen et al.
Posted inEditors' Highlights

Hydrologists Should Reconsider How They Calibrate Their Models

by Marc F. P. Bierkens 15 April 202210 December 2022

A new study suggests that the commonly used split sample approach in hydrology, where time series are divided into a part for model calibration and a part for model validation, should be abandoned.

Four plots comparing the accuracy of predicted latent heat and sensible heat fluxes with observations from flux towers.
Posted inEditors' Highlights

Combining Deep Learning Methods with Process-based Models

by Marc F. P. Bierkens 2 July 202128 September 2021

Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.

Two maps of the Missouri river basin showing estimates of river discharge in a hydrological model (top) and when the model incorporates satellite data (bottom).
Posted inEditors' Highlights

Gauging Ungauged River Basins with Smart Remote Sensing

by Marc F. P. Bierkens 10 March 202131 March 2022

A clever combination of hydrologic modelling and discharge estimates from the Landsat satellite provides good discharge estimates throughout the Missouri river basin.

World map with dots showing the center locations of landfalling droughts that occurred between 1979 and 2018
Posted inEditors' Highlights

The Ocean-Land Connection of Droughts

by Marc F. P. Bierkens 12 October 20209 October 2020

Around 16 percent of large-scale droughts over land originate above the ocean and these types of droughts are more extensive and severe than droughts that originate over land.

Map of Land subsidence predictions in the western United States obtained via machine learning
Posted inEditors' Highlights

Machine Learning Predicts Subsidence from Groundwater Pumping

by Marc F. P. Bierkens 17 August 202014 January 2022

Machine learning and data on aquifer type, sediment thickness, and proxies for irrigation water use has been used to produce the most comprehensive map of land subsidence in the western U.S. to date.

Charts showing how groundwater pumping in a deeper aquifer reduces its pressure and induces flow of arsenic rich groundwater from the overlying aquifer
Posted inEditors' Highlights

Arsenic Pollution in Bangladesh is Catching Up with Deeper Wells

by Marc F. P. Bierkens 3 August 202023 July 2020

Inhabitants of Bangladesh have deepened drinking water wells to avoid extracting arsenic-rich groundwater from shallow aquifers, but these may not be free from pollution either.

World maps showing estimated width and mean discharge of all mapped reaches
Posted inEditors' Highlights

Reconstructing Natural Streamflow at Unprecedented Resolution

by Marc F. P. Bierkens 3 September 201926 August 2019

A new research effort has mapped 35 years of naturalized streamflow for 2.94 million river reaches worldwide: an invaluable dataset for hydrology, biogeochemistry, ecology, and remote sensing.

Diagram showing how groundwater disappears into crustal ruptures formed during an earthquake
Posted inEditors' Highlights

Groundwater Drawn Downward After Kumamoto Quake

by Marc F. P. Bierkens 14 August 20195 December 2022

A unique set of high-frequency groundwater level monitoring reveals a loss of approximately ten million cubic meters of groundwater after a major earthquake.

Posted inEditors' Highlights

Calibrating Hydrological Models by Satellite

by Marc F. P. Bierkens 2 May 2018

Hydrological models are usually calibrated using observations of streamflow, but a new method uses remotely sensed land surface temperature for this purpose.

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