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Institution

Delft University of Technology

EducationDelft, Zuid-Holland, Netherlands
About: Delft University of Technology is a education organization based out in Delft, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37681 authors who have published 94404 publications receiving 2741710 citations. The organization is also known as: TU-Delft & Technische Hogeschool Delft.


Papers
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Journal ArticleDOI
TL;DR: It appeared that, under carbon-and energy-limited conditions, a high nitrification rate was correlated with a reduced biomass yield, and several species considered to be "poor" nitrifiers also simultaneously nitrify and denitrify, thus giving a falsely low nitrification potential.
Abstract: Thiosphaera pantotropha is capable of simultaneous heterotrophic nitrification and aerobic denitrification. Consequently, its nitrification potential could not be judged from nitrite accumulation, but was estimated from complete nitrogen balances. The maximum rate of nitrification obtained during these experiments was 93.9 nmol min−1 mg of protein−1. The nitrification rate could be reduced by the provision of nitrate, nitrite, or thiosulfate to the culture medium. Both nitrification and denitrification increased as the dissolved oxygen concentration fell, until a critical level was reached at approximately 25% of air saturation. At this point, the rate of (aerobic) denitrification was equivalent to the anaerobic rate. At this dissolved oxygen concentration, the combined nitrification and denitrification was such that cultures receiving ammonium as their sole source of nitrogen appeared to become oxygen limited and the nitrification rate fell. It appeared that, under carbon-and energy-limited conditions, a high nitrification rate was correlated with a reduced biomass yield. To facilitate experimental design, a working hypothesis for the mechanism behind nitrification and denitrification by T. pantotropha was formulated. This involved the basic assumption that this species has a “bottleneck” in its cytochrome chain to oxygen and that denitrification and nitrification are used to overcome this. The nitrification potential of other heterotrophic nitrifiers has been reconsidered. Several species considered to be “poor” nitrifiers also simultaneously nitrify and denitrify, thus giving a falsely low nitrification potential.

345 citations

Journal ArticleDOI
TL;DR: This review establishes the relationship between eutrophication of fresh inland surface waters in SSA and the release of nutrients in their mega-cities, and investigates the effect of the episodic and largely uncontrolled removal of nutrients stored at urban surfaces by runoff from precipitation on nutrient budgets in adjacent lakes and rivers draining the urban areas.

344 citations

Journal ArticleDOI
01 Jan 1993
TL;DR: A unified approach is presented to the related problems of recovering signal parameters from noisy observations and identifying linear system model parameters from observed input/output signals, both using singular value decomposition (SVD) techniques.
Abstract: A unified approach is presented to the related problems of recovering signal parameters from noisy observations and identifying linear system model parameters from observed input/output signals, both using singular value decomposition (SVD) techniques. Both known and new SVD-based identification methods are classified in a subspace-oriented scheme. The SVD of a matrix constructed from the observed signal data provides the key step in a robust discrimination between desired signals and disturbing signals in terms of signal and noise subspaces. The methods that are presented are distinguished by the way in which the subspaces are determined and how the signal or system model parameters are extracted from these subspaces. Typical examples, such as the direction-of-arrival problem and system identification from input/output measurements, are elaborated upon, and some extensions to time-varying systems are given. >

344 citations

Journal ArticleDOI
TL;DR: The Anammox as well as the CANON process could be maintained easily in a gas-lift reactor, and very high N-conversion rates were achieved.
Abstract: Anoxic ammonium oxidation (Anammox) and Completely Autotrophic Nitrogen removal Over Nitrite (CANON) are new and promising microbial processes to remove ammonia from wastewaters characterized by a low content of organic materials. These two processes were investigated on their feasibility and performance in a gas-lift reactor. The Anammox as well as the CANON process could be maintained easily in a gas-lift reactor, and very high N-conversion rates were achieved. An N-removal rate of 8.9 kg N (m3 reactor)−1 day−1 was achieved for the Anammox process in a gas-lift reactor. N-removal rates of up to 1.5 kg N (m3 reactor)−1 day−1 were achieved when the CANON process was operated. This removal rate was 20 times higher compared to the removal rates achieved in the laboratory previously. Fluorescence in situ hybridization showed that the biomass consisted of bacteria reacting to NEU, a 16S rRNA targeted probe specific for halotolerant and halophilic Nitrosomonads, and of bacteria reacting to Amx820, specific for planctomycetes capable of Anammox.

344 citations

Journal ArticleDOI
TL;DR: Several examples are presented to illustrate the potential of modern high-standard driving simulator environments regarding the monitoring of drivers' mental workload during task performance.

344 citations


Authors

Showing all 38152 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Charles M. Lieber165521132811
Ad Bax13848697112
George C. Schatz137115594910
Georgios B. Giannakis137132173517
Jaap S. Sinninghe Damsté13472661947
Avelino Corma134104989095
Mark A. Ratner12796868132
Jing Kong12655372354
Robert J. Cava125104271819
Reza Malekzadeh118900139272
Jinde Cao117143057881
Mike S. M. Jetten11748852356
Liquan Chen11168944229
Oscar H. Franco11182266649
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023393
2022784
20215,396
20205,525
20195,230