| publications-2421 |
Peer reviewed articles |
2021 |
Pathak, D., Hutchins, M., Brown, L.E., Loewenthal, M., Scarlett, P., Armstrong, L., Nicholls, D., Bowes, M. & Edwards, F. |
Hourly Prediction of Phytoplankton Biomass and Its Environmental Controls in Lowland Rivers. Water Resources Research |
Water Resources Research |
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Simulation & Modeling |
Natural Water Bodies |
|
No abstract available |
765553 |
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| publications-2422 |
Peer reviewed articles |
2021 |
Pin, L., Eiler, A., Fazi, S. & Friberg, N. |
Two different approaches of microbial community structure characterization in riverine epilithic biofilms under multiple stressors conditions: Developing molecular indicators |
Molecular Ecology Resources |
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Simulation & Modeling |
Irrigation Systems |
|
No abstract available |
765553 |
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| publications-2423 |
Peer reviewed articles |
2023 |
David Brankovits, John W. Pohlman, Laura L. Lapham |
Oxygenation of a karst subterranean estuary during a tropical cyclone: mechanisms and implications for the carbon cycle |
Limnology and Oceanography |
10.1002/lno.12231 |
IoT & Sensors |
Irrigation Systems |
|
AbstractSeasonal precipitation affects carbon turnover and methane accumulation in karst subterranean estuaries, the region of coastal carbonate aquifers where hydrologic and biogeochemical processes regulate material exchange between the land and ocean. However, the impact that tropical cyclones exert on subsurface carbon cycling within karst landscapes is poorly understood. Here, we present 5‐month‐long hydrologic and chemical records from 1 and 2 km inland from the coastline within the Ox Bel Ha Cave System in the northeastern Yucatan Peninsula. The record encompasses wet and dry seasons and includes the impact of rainfall during the development of Tropical Storm Hanna in October 2014. Methane accumulated in highest concentrations at the inland site, especially during the wet season preceding the storm. Intense rainfall led to episodic increases in water level and salinity shifts at both sites, indicating a spatially widespread hydrologic response. The most profound storm effect was a ~ 0.8 mg L−1 pulse of dissolved oxygen that declined to zero within 2 weeks and corresponded with a reduction of methane. A positive shift in methane's stable carbon isotope content from −62.6‰ ± 0.6‰ before the storm to −44.0‰ ± 2.4‰ after the storm indicates microbial methane oxidation was a mechanism for the loss of groundwater methane. Post‐storm methane concentrations did not recover to pre‐storm levels during the observation period, suggesting tropical cyclones have long‐lasting (months) effects on the carbon cycle. Compared to seasonal effects, mixing and oxygen inputs during storm‐induced hydrologic forcing have an outsized biogeochemical influence within stratified coastal aquifers. |
101031043 |
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| publications-2424 |
Peer reviewed articles |
2022 |
Owusu, A.G., Mul, M., Strauch, M., van der Zaag, P., Volk, M. & Slinger, J. |
The clam and the dam: A Bayesian belief network approach to environmental flow assessment in a data scarce region. |
Science of The Total Environment |
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Data Management & Analytics |
Irrigation Systems |
|
No abstract available |
765553 |
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| publications-2425 |
Peer reviewed articles |
2021 |
Owusu, A. G., Mul, M., van der Zaag, P., & Slinger, J. 2021. |
Re-operating dams for environmental flows: From recommendation to practice. |
River Research and Application |
|
Hydrological modeling |
Groundwater |
|
No abstract available |
765553 |
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| publications-2426 |
Peer reviewed articles |
2022 |
Raquel Arias Font, Kieran Khamis, Alexander M. Milner, Gregory H. Sambrook Smith, Mark E. Ledger, |
Low flow and heatwaves alter ecosystem functioning in a stream mesocosm experiment, |
Science of The Total Environment, |
|
Data Management & Analytics |
Groundwater |
|
No abstract available |
765553 |
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| publications-2427 |
Peer reviewed articles |
2023 |
Campoy, Jaime & Campos, Isidro & Carrilero, Julio & Bodas, Vicente & Osann, Anna & Calera, Alfonso. |
Remote Sensing-based crop yield model at field and within-field scales in wheat and barley crops. |
European Journal of Agronomy |
10.1016/j.eja.2022.126720 |
Simulation & Modeling |
Groundwater |
|
No abstract available |
870518 |
|
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| publications-2428 |
Peer reviewed articles |
2023 |
Dimitrios Bouziotas; Sija Stofberg; Jos Frijns; Dionysios Nikolopoulos; Christo Makropoulos |
Assessing the resilience of circularity in water management: a modeling framework to redesign and stress-test regional systems under uncertainty |
Urban Water Journal |
10.1080/1573062x.2023.2190030 |
Simulation & Modeling |
Natural Water Bodies |
|
No abstract available |
776541 |
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| publications-2429 |
Peer reviewed articles |
2022 |
Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar, Bahram Saghafian |
Downscaling WGHM-Based Groundwater Storage Using Random Forest Method: A Regional Study over Qazvin Plain, Iran |
Hydrology 9 |
10.3390/hydrology9100179 |
Data Management & Analytics |
Groundwater |
|
Climate change, urbanization, and a growing population have led to a rapid increase in groundwater (GW) use. As a result, monitoring groundwater changes is essential for water managers and decision-makers. Due to the lack of reliable and insufficient in situ information, remote sensing and hydrological models may be counted as alternative sources to assess GW storage changes on regional and global scales. However, often, these hydrological models have a low spatial resolution for water-related applications on a small scale. Therefore, the main purpose of this study is to downscale the GW storage anomaly (GWSA) of the WaterGAP Global Hydrology Model (WGHM) from a coarse (0.5 degrees) to a finer spatial resolution (0.1 degrees) using fine spatial resolution auxiliary datasets (0.1 degrees), such as evaporation (E), surface (SRO), subsurface runoff (SSRO), snow depth (SD), and volumetric soil water (SWVL), from the ERA5-Land model, as well as the global precipitation (Pre) measurement (GPM-IMERG) product. The Qazvin Plain in central Iran was selected as the case study region, as it faces a severe decline in GW resources. Different statistical regression models were tested for the GWSA downscaling to find the most suitable method. Moreover, since different water budget components (such as precipitation or storage) are known to have temporal lead or lag relative to each other, the approach also incorporates a time shift factor. The most suitable regression model with the highest skill score during the training-validation was selected and applied to predict the final 0.1-degree GWSA. The downscaled results showed high agreement with the in situ groundwater levels over the Qazvin Plain on both interannual and monthly time scales, with a correlation coefficient of 0.989 and 0.62, respectively. Moreover, the downscaled product represents clear proof that the developed downscaling technique is able to learn from high-resolution auxiliary data to capture GWSA features at a higher spatial resolution. The major benefit of the proposed method lies in the utilization of only the auxiliary data that are available with global coverage and are free of charge, while not requiring in situ GW records for training or prediction. Therefore, the proposed downscaling technique can potentially be applied at a global scale and to aquifers in other geographical regions. |
870353 |
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| publications-2430 |
Peer reviewed articles |
2023 |
Mehdi Khoury; Barry Evans ;Otto Chen; Albert S. Chen; Lydia Vamvakeridou-Lyroudia; Dragan A. Savic; Slobodan Djordjevic; Dimitrios Bouziotas; Christos Makropoulos; Navonil Mustafee |
NEXTGEN: A serious game showcasing circular economy in the urban water cycle |
Journal of Cleaner production |
10.1016/j.jclepro.2023.136000 |
Data Management & Analytics |
Uncategorized |
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No abstract available |
776541 |
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