It is well recognized that the multiple objective (MO) approach in the calibration of hydrologic and environmental models offers distinct advantages over the single objective (SO) approach in that the resulted model results can capture the system’s responses better. However, the simulation time required to perform MO calibration is often longer than SO calibration. This makes MO calibration inf...

Graphics Processing Unit (GPU) computing represents a significant advancement in the continued evolution of flood modelling. BMT WBM the developers of TUFLOW are continually undertaking research work focusing on how best to use the software. This paper presents a range of GPU model validation results and summarises best practice recommendations on how to optimise execution to achieve fastest mo...

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 ...

A mixed-model moving-average approach to geostatistical modeling in stream networks. Ecology 91:644–651. A distance matrix that contains the hydrologic distance between any two sites in a study area is needed to fit a geostatistical model using the tail-up and tail-down autocovariance functions. However, the hydrologic distance information needed to model the covariance between flow-connected a...

Hydrologic data collection over scales from centimemrs to continents, from minutes to years is difficult and expensive, so hydrologic models usually conceptualize processes based on simple, often homogeneous, views of nature. This forced oversimplification impedes cientific understanding and management of water resources. As the focus of hydrologic research shifts to larger regional and global ...

 Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances in hydrologic DA research have not been adequately or timely implemented in operational forecast systems to improve the skill of forecasts for better informed real-world decision making. This is due in part to a lack of mechanisms to properly q...

Watershed modeling applications for the Fox and Iroquois River watersheds in Illinois were used to evaluate the response in simulated streamflow to various climate scenarios. The climate scenarios applied to both watersheds are based on simulations from two global climate models, the Japan and Hadley models, which respectively represent comparatively “dry” and “wet” scenarios of future climatic...

Large-scale ground subsidence caused by coal mining and subsequent water-filling leads to serious environmental problems and economic losses, especially in plains with a high phreatic water level. Clarifying the hydrologic cycle in subsidence areas has important practical value for environmental remediation, and provides a scientific basis for water resource development and utilisation of the s...