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Khadra, W.M. (author)Coastal aquifer management has recently emerged as a main scope in groundwater hydrology, especially in arid and semi-arid zones. About two thirds of the human population are currently gathered close to shorelines relying on coastal groundwater resources. Worldwide, these systems are subject to quality deterioration due to a multitude of...doctoral thesis 2017
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Shang, H. (author)The observation of surface water bodies in all weather conditions and better knowledge about inundation patterns are important for water resource management and flood early warning. Microwave radiometers at 37 GHz were applied to observe and study the inundation pattern in large subtropical floodplains in China, i.e. the Poyang Lake and Dongting...doctoral thesis 2017
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Beer, U.M. (author), Neerincx, M.A. (author), Morina, Nexhmedin (author), Brinkman, W.P. (author)Background: First responders are a prime example of professionals that are at a high risk of<br/>being exposed to traumatic experiences. Reappraisal as a coping strategy might help first<br/>responders to better cope with their emotional responses to traumatic events.<br/>Objective: This study investigated the effects of repeated sessions of a...journal article 2017
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van der Spek, J.E. (author), Bakker, M. (author)The influence of the length of the calibration period and observation frequency on the predictive uncertainty in time series modeling of groundwater dynamics is investigated. Studied series are from deltaic regions with predominantly shallow groundwater tables in a temperate maritime climate where heads vary due to precipitation and...journal article 2017
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Amiri Simkooei, A. (author), Mohammadloo, Tannaz H. (author), Argus, D.F. (author)The second reprocessing of all GPS data gathered by the Analysis Centers of IGS was conducted in late 2013 using the latest models and methodologies. Improved models of antenna phase center variations and solar radiation pressure in JPL’s reanalysis are expected to significantly reduce errors. In an earlier work, JPL estimates of position time...journal article 2017
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Guo, Xuqi (author), Pang, Y. (author), Yan, Gaowei (author), Qiao, Tiezhu (author)Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in which the hybrid Euclidean distance is used as...conference paper 2017
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Leontaris, G. (author), Morales Napoles, O. (author), Wolfert, A.R.M. (author)There are numerous uncertainties that impact offshore operations. However, environmental uncertainties concerning variables such as wave height and wind speed are crucial because these may affect installation and maintenance operations with potential delays and financial consequences. In order to include these uncertainties into the duration...journal article 2016
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Nemati, M. (author), Kenjeres, S. (author), Urbach, Paul (author), Bhattacharya, N. (author)The scattering of coherent light from a system with underlying flow can be used to yield essential information about dynamics of the process. In the case of pulsatile flow, there is a rapid change in the properties of the speckle images. This can be studied using the standard laser speckle contrast and also the fractality of images. In this...journal article 2016
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Velsink, H. (author)Adjustment and testing of a combination of stochastic and nonstochastic observations is applied to the deformation analysis of a time series of 3D coordinates. Nonstochastic observations are constant values that are treated as if they were observations. They are used to formulate constraints on the unknown parameters of the adjustment problem...journal article 2016
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Obergfell, C.C.A. (author), Bakker, M. (author), Maas, Kees (author)The flood-wave method is implemented within the framework of time-series analysis to estimate aquifer parameters for use in a groundwater model. The resulting extended flood-wave method is applicable to situations where groundwater fluctuations are affected significantly by time-varying precipitation and evaporation. Response functions for time...journal article 2016
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Chao, Q. (author), Yu, J (author), Dai, C. (author), Xu, T (author), Zhang, L. (author), Wang, C.C. (author), Jin, X. (author)We present a general solution for steering microrobotic<br/>swarm by dynamic actuating fields. In our approach, the<br/>motion of micro-robots is controlled by changing the actuating<br/>direction of a field applied to them. The time-series sequence<br/>of actuating field’s directions can be computed automatically.<br/>Given a target position in...conference paper 2016
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Chang, L. (author)Satellite radar interferometry (InSAR) is a precise and efficient technique to monitor deformation on Earth with millimeter precision. Most InSAR applications focus on geophysical phenomena, such as earthquakes, volcanoes, or subsidence. Monitoring civil infrastructure with InSAR is relatively new, with potential for operational applications,...doctoral thesis 2015
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Shang, H. (author), Li, J. (author), Menenti, M. (author)The soil wetness condition is a useful indicator of inundation hazard in floodplains, such as the Poyang Lake floodplain. Special Sensor Microwave Imager (SSM/I) passive microwave data were used to monitor water-saturated soil and open water areas of the Poyang Lake floodplain from 2001 to 2008, capturing the inundation patterns of this area in...journal article 2015
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- Sarmento, S.F.M. (author) doctoral thesis 2012
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Siek, M.B.L.A. (author)Accurate predictions of storm surge are of importance in many coastal areas. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory for predicting storm surges. A number of new enhancements are presented: phase space dimensionality reduction, incomplete time series, phase error correction, finding true...doctoral thesis 2011
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Khodabandeh, A. (author), Amiri-Simkooei, A.R. (author), Sharifi, M.A. (author)The efficacy of robust M-estimators is a well-known issue when dealing with observational blunders. When the number of observations is considerably large—long time series for instance—one can take advantage of the asymptotic normality of the M-estimation and compute reasonable estimates for the unknown parameters of interest. A few leading M...journal article 2011
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Veling, E.J.M. (author), Maas, C. (author)In this paper we comment on some recent numerical and analytical work to evaluate the Hantush Well Function. We correct an expression found in a Comment by Nadarajah (J. of Hydrology, vol. 338, p. 152-153 (2007)) to a paper by Prodanoff et al. (J. of Hydrology, vol. 318, p. 173-183 (2006)). We subsequently derived another analytic representation...journal article 2010
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Blaas, J. (author), Botha, C.P. (author), Grundy, E. (author), Jones, M.W. (author), Laramee, R.S. (author), Post, F.H. (author)In this paper, we present a new visual way of exploring state sequences in large observational time-series. A key advantage of our method is that it can directly visualize higher-order state transitions. A standard first order state transition is a sequence of two states that are linked by a transition. A higher-order state transition is a...journal article 2009
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Broersen, P.M.T. (author)The sample autocorrelation function is defined by the mean lagged products (LPs) of random observations. It is the inverse Fourier transform of the raw periodogram. Both contain the same information, and the quality of the full-length sample autocorrelation to represent random data is as poor as that of a raw periodogram. The autoregressive (AR)...journal article 2009
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Broersen, P.M.T. (author)Vector time series analysis takes the same model order and model type for the different signals involved. Selection criteria have been developed to select the best order to simultaneously predict the different components of the vector. The prediction of single channels might require a different order or type for the best accuracy of each...journal article 2009