Short-term fluctuations in benthic diatom numbers on an intertidal sandflat in the Westerschelde estuary (Zeeland, The Netherlands)

Hydrobiologia ◽  
1993 ◽  
Vol 269-270 (1) ◽  
pp. 275-284 ◽  
Author(s):  
Koen Sabbe
2006 ◽  
Vol 21 (2) ◽  
pp. 123-125 ◽  
Author(s):  
Viveka Björnhagen ◽  
Torbjörn Messner ◽  
Helge Brändström

AbstractA fire and subsequent explosions occurred in a fireworks warehouse on 13 May 2000. A total of 947 persons were injured and 21 persons died, including four firefighters and one reporter. Communication networks became overloaded and impaired notification chains. The hospital disaster plan was followed, but was proved inadequate. Public information was a high priority. A counselling center was established early and was planned to continue operation for five years. The command function did not perform to expectations. Hospital triage was impaired as many responsible left the triage area. Short-term psychosocial support evolved to long-term programs. Liability issues were examined.


2021 ◽  
Author(s):  
Eva van der Kooij ◽  
Marc Schleiss ◽  
Riccardo Taormina ◽  
Francesco Fioranelli ◽  
Dorien Lugt ◽  
...  

<p>Accurate short-term forecasts, also known as nowcasts, of heavy precipitation are desirable for creating early warning systems for extreme weather and its consequences, e.g. urban flooding. In this research, we explore the use of machine learning for short-term prediction of heavy rainfall showers in the Netherlands.</p><p>We assess the performance of a recurrent, convolutional neural network (TrajGRU) with lead times of 0 to 2 hours. The network is trained on a 13-year archive of radar images with 5-min temporal and 1-km spatial resolution from the precipitation radars of the Royal Netherlands Meteorological Institute (KNMI). We aim to train the model to predict the formation and dissipation of dynamic, heavy, localized rain events, a task for which traditional Lagrangian nowcasting methods still come up short.</p><p>We report on different ways to optimize predictive performance for heavy rainfall intensities through several experiments. The large dataset available provides many possible configurations for training. To focus on heavy rainfall intensities, we use different subsets of this dataset through using different conditions for event selection and varying the ratio of light and heavy precipitation events present in the training data set and change the loss function used to train the model.</p><p>To assess the performance of the model, we compare our method to current state-of-the-art Lagrangian nowcasting system from the pySTEPS library, like S-PROG, a deterministic approximation of an ensemble mean forecast. The results of the experiments are used to discuss the pros and cons of machine-learning based methods for precipitation nowcasting and possible ways to further increase performance.</p>


2009 ◽  
Vol 24 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Jan Krul ◽  
Armand R. J. Girbes

AbstractObjective:The objective of this study was to report on a nine years of experience of providing medical support during house parties (raves) in the Netherlands, where they can be organized legally.Design:This was a prospective, observational study of self-referred patients from 1997 to 2005. During raves, first aid stations are staffed with specifically trained medical and paramedical personnel. Self-referred patients were diagnosed, treated, and recorded using standardized methods.Results:During a nine-year period with 219 raves occurred, involving approximately three million participants, 23,581 patients visited the first aid stations. The medical usage rate (MUR) varied from 59–170 patients per 10,000 rave participants. The mean age increased from 1997 to 2005 from 18.7 ±2.7 to 23.3 ±5.7 years. The mean stay at the first aid station was 18 ±46 minutes. Most health problems were mild. Fifteen cases of severe incidents were observed with one death.Conclusions:Unique data from the Netherlands demonstrate a low number of serious, health-related, short-term problems during raves.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Marieke L. Rutgers ◽  
Robin Detering ◽  
Sapho X. Roodbeen ◽  
Rogier M. Crolla ◽  
Jan Willem T. Dekker ◽  
...  

2014 ◽  
Vol 11 (6) ◽  
pp. 702-722
Author(s):  
Pauline G.M. Aarten ◽  
Adriaan Denkers ◽  
Matthias J. Borgers ◽  
Peter H. van der Laan
Keyword(s):  

2015 ◽  
Vol 55 (3) ◽  
pp. 278-285 ◽  
Author(s):  
Lydia G. M. van der Geest ◽  
Marc G. H. Besselink ◽  
Yvette R. B. M. van Gestel ◽  
Olivier R. C. Busch ◽  
Ignace H. J. T. de Hingh ◽  
...  

2014 ◽  
Vol 65 (5) ◽  
pp. 437 ◽  
Author(s):  
Priya M. D'Costa ◽  
Arga C. Anil

Penicillin, a β-lactam antibiotic, cannot affect diatoms directly but does so through bacteria. Its effects on viable benthic diatom assemblages in a tropical environment were evaluated across spatial (intertidal sandflat, mangrove site, port environment) and seasonal (post-monsoon, pre-monsoon, monsoon) scales. Penicillin treatment resulted in bacterial suppression and a reduction in diatoms at the intertidal and mangrove sites having stable pennate-dominated assemblages. Diatom response at the port site, dominated by transient centric diatoms, ranged from total inhibition to enhancement. The monsoon diatom assemblages, which differed in composition from those in other seasons, showed reduced susceptibility to penicillin. These observations highlight the bacterial influence on diatom assemblages and the significance of species composition of diatom assemblages in these interactions. Epipsammic diatoms (Cocconeis, Grammatophora and Thalassionema) were more sensitive to penicillin than epipelic forms, probably due to: (1) their inability to escape unfavourable bacterial metabolites because of limited diffusion in benthic environments; and (2) the interference of penicillin with the bacterial ‘conditioning’ film required for their attachment. Overall, the observations from the present, preliminary, ecological study provide insights into the relevance of bacteria in influencing viable benthic diatom assemblages across spatial and seasonal scales and emphasise the need for future mesocosm experiments on these aspects.


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