Driven by the needs of engineered underground systems, the field of rock mechanics is evolving to address the interactions of in situ mechanical, thermal, hydrologic, and chemical processes and their effects on system performance. Important technical issues include understanding how the relevant loads and gradients drive in situ processes; rock mass variability, discontinuity, and heterogeneity...

One of the principal issues related to hydrologic models for prediction of runoff is the estimation of extreme values (floods). It is well understood that unless the models capture the dynamics of rainfall-runoff process, the improvement in prediction of such extremes is far from reality. In this paper, it is proposed to develop a dual (combined and paralleled) artificial neural network (D-ANN)...

[1] Predictive uncertainty analysis in hydrologic modeling has become an active area of research, the goal being to generate meaningful error bounds on model predictions. State-space filtering methods, such as the ensemble Kalman filter (EnKF), have shown the most flexibility to integrate all sources of uncertainty. However, predictive uncertainty analyses are typically carried out using a sing...

FUNDAMENTALS OF VOLUME REDUCTION . The purpose of this technical memorandum is to recommend ways to interpret and evaluate hydrologic data obtained from monitoring studies to quantify the performance of these systems, both absolutely and in comparison to other systems. This memorandum first discusses the fundamental questions that may possibly be answered through analysis and interpretation of ...

During the last two decades or so, studies on the applications of the concepts of nonlinear dynamics and chaos to hydrologic systems and processes have been on the rise. Earlier studies on this topic focused mainly on the investigation and prediction of chaos in rainfall, river flow and lake volume data, and further advances were made during the subsequent years through applications of the conc...

Advances in computational tools and modelling techniques combined with enhanced process knowledge have, in recent decades, facilitated a rapid progress in hydrologic modelling. From the use of traditional lumped models, the hydrologic science has moved to the much more complex, fully distributed models that exude an enhanced knowledge of hydrologic processes. Despite this progress, uncertaintie...

Research on ecosystem and societal response to global environmental change typically considers the effects of shifts in mean climate conditions. There is, however, some evidence of ongoing changes also in the variance of hydrologic and climate fluctuations. A relatively high interannual variability is a distinctive feature of the hydrologic regime of dryland regions, particularly at the desert ...