López-Fidalgo, J. Sánchez, J. G.
Published in
Stochastic Environmental Research and Risk Assessment
Bioassays are applied to workers and other people exposed to radiation through routine or accidental intake of radioactive isotopes. The quantity of the isotope intake by an individual can be estimated from the measured quantities in the bioassays using the corresponding retention or excretion function. A retention (excretion) function represents t...
Pollice, Alessio Jona Lasinio, Giovanna Rossi, Roberta Amato, Mariana Kneib, Thomas Lang, Stefan
Published in
Stochastic Environmental Research and Risk Assessment
The flexibility of the Bayesian approach to account for covariates with measurement error is combined with semiparametric regression models. We consider a class of continuous, discrete and mixed univariate response distributions with potentially all parameters depending on a structured additive predictor. Markov chain Monte Carlo enables a modular ...
Wang, Jie Xu, Youpeng Wang, Yuefeng Yuan, Jia Wang, Qiang Xiang, Jie
Published in
Stochastic Environmental Research and Risk Assessment
Regional climate change as well as urbanization are likely to introduce characteristics of non-stationarity in the extreme water levels (EWL), which in turn will affect the possibility of flooding in the plain river network region. For this study, China’s Taihu Basin as a typical case for analyzing the impacts that climate change and urbanization w...
Srivalli, Ch. N. S. Jothiprakash, V. Sivakumar, B.
Published in
Stochastic Environmental Research and Risk Assessment
Adequate knowledge of the complexity of streamflows in river basins is important for proper assessment, planning, and management of our water resources. However, identification of the complexity of streamflows is very challenging, due to the various mechanisms governing the streamflow process both in space and in time. The present study examines th...
Vitale, Domenico Bilancia, Massimo Papale, Dario
Published in
Stochastic Environmental Research and Risk Assessment
The eddy-covariance (EC) technique is considered the most direct and reliable method to calculate flux exchanges of the main greenhouse gases over natural ecosystems and agricultural fields. The resulting measurements are extremely important to characterize ecosystem exchanges of carbon, water, energy and other trace gases, and are widely used to v...
Rotondi, R. Varini, E.
Published in
Stochastic Environmental Research and Risk Assessment
The long-term recurrence of strong earthquakes is often modeled according to stationary Poisson processes for the sake of simplicity. However, renewal and self-correcting point processes (with nondecreasing hazard functions) are more appropriate. Short-term models mainly fit earthquake clusters due to the tendency of an earthquake to trigger other ...
Zheng, Lizhi Wang, Lichun James, Scott C.
Published in
Stochastic Environmental Research and Risk Assessment
Non-Fickian solute transport is observed across many scales, which has motivated development of numerous non-Fickian-based models. Assuming that local fluid flow was estimable from the Modified Local Cubic Law, this study determined whether the local ADE better simulated non-Fickian transport through rough (3-D) fractures when local dispersion was ...
Martín-Fernández, Josep A. Engle, Mark A. Ruppert, Leslie F. Olea, Ricardo A.
Published in
Stochastic Environmental Research and Risk Assessment
A self-organizing map (SOM) is a non-linear projection of a D-dimensional data set, where the distance among observations is approximately preserved on to a lower dimensional space. The SOM arranges multivariate data based on their similarity to each other by allowing pattern recognition leading to easier interpretation of higher dimensional data. ...
Suchetana, Bihu Rajagopalan, Balaji Silverstein, JoAnn
Published in
Stochastic Environmental Research and Risk Assessment
A performance-based modeling framework is developed to estimate three attributes of the risk of Total Ammonia Nitrogen (TAN) permit limit violations: probability, magnitude and frequency of violations. Discharge Monthly Report data from a sample of 106 US municipal treatment plants for the period of 2004–2008 is used for the analysis. A Generalized...
Nguyen-Huy, Thong Deo, Ravinesh C. Mushtaq, Shahbaz Kath, Jarrod Khan, Shahjahan
Published in
Stochastic Environmental Research and Risk Assessment
Development and implementation of advanced statistical models for analyzing stochastic dependencies of systemic weather risk can help farmers, agricultural policy-makers and financial agents to address potential risk adaptation strategies and mitigation of threats to the agricultural industry. This study develops copula-based statistical models to ...
