Showing papers in "Journal of Hydrology in 2006"

TL;DR: The argument is made that the potential for multiple acceptable models as representations of hydrological and other environmental systems (the equifinality thesis) should be given more serious consideration than hitherto.

TL;DR: In this paper, the authors review the current state of science regarding historical trends in hydrologic variables, including precipitation, runoff, tropospheric water vapor, soil moisture, glacier mass balance, evaporation and growing season length.

TL;DR: In this article, a sampling strategy that is a combination of latin-hypercube and one-factor-at-a-time sampling that allows a global sensitivity analysis for a long list of parameters with only a limited number of model runs is described.

TL;DR: In this article, the authors present an evaluation and review of the transit time literature in the context of catchments and water transit time estimation and provide a critical analysis of unresolved issues when applied at the catchment-scale.

TL;DR: An overview of the MOPEX experiment is presented and a key finding is that existing a priori parameter estimation procedures are problematic and need improvement.

TL;DR: In this paper, the spatial distributions of temporal trends in the reference evapotranspiration as well as in the meteorological variables that determine evapotspiration are analyzed, and the spatial distribution pattern of the pan coefficient is significantly influenced by wind speed and relative humidity in the region.

TL;DR: In this paper, a support vector machine (SVM) approach is proposed for statistical downscaling of precipitation at monthly time scale, and the effectiveness of this approach is illustrated through its application to meteorological sub-divisions in India.

TL;DR: The support vector machine, a novel artificial intelligence-based method developed from statistical learning theory, is adopted herein to establish a real-time stage forecasting model that can effectively predict the flood stage forecasts one-to-six-hours ahead.

TL;DR: In this paper, a trend of increasing streamflow has been observed in the Mississippi River (MR) basin since the 1940s as a result of increased precipitation and agricultural land use change in the MR basin.

TL;DR: The notions of coherence for learning and prediction processes as well as the value of a statistical experiment are introduced and are useful in showing that the GLUE methodology defines a statistical inference process, which is inconsistent and incoherent.

TL;DR: In this paper, the authors applied a simplified hydrological model across the diverse physiographic region to estimate the potential magnitude of annual water yield response to forestation and found that the average water yield reduction may vary from about 50mm/yr (50%) in the semi-arid Loess Plateau region in northern China to about 300 mm/yr in the tropical southern region.

TL;DR: It is concluded that, to be most useful, non-stationarity considerations be incorporated into new risk assessment frameworks.

TL;DR: In this paper, the authors examined rainfall data from 14 rain gauges in the western mountain range of the Ecuadorian Andes and found significant correlations between average daily rainfall and geographical location, as well as the topographical parameters slope, aspect, topography.

TL;DR: In this article, a non-dimensional relative sensitivity coefficient was employed to predict responses of ETref to perturbations of four climatic variables in the Changjiang (Yangtze River) basin.

TL;DR: A global river discharge simulation was conducted that accounted for 452 individually operated reservoirs by locating them on the digital global river network map of TRIP, a global river routing model.

TL;DR: In this article, a Bayesian hierarchical model is proposed to explicitly differentiate between forcing, response and model error, and a simple sensitivity analysis is used to identify the parameters most likely to behave stochastically, with variation in these parameters yielding the largest changes in model predictions as measured by the Nash-Sutcliffe criterion.

TL;DR: In this article, three downscaling models namely Statistical Down-Scaling Model (SDSM), Long Ashton Research Station Weather Generator (LARS-WG) model and Artificial Neural Network (ANN) model have been compared in terms various uncertainty assessments exhibited in their downscaled results of daily precipitation, daily maximum and minimum temperatures.

TL;DR: In this paper, a case study of 10 catchments located in the southeast of England is utilized to deal with the impact of new insights into model identification at gauged sites, e.g. regarding the problem of structural error, on this regionalization process.

TL;DR: In this article, the structure and hydrodynamic properties of the weathering profile of a granitic area (53 km2 Maheshwaram catchment, state of Andhra Pradesh, India) were characterized in detail and mapped from observations on outcrops, 80 vertical electric soundings and lithologs from 45 borewells in which flowmeter measurements and injection tests were also performed to characterize the hydraulic conductivities of the conductive fissure zones.

TL;DR: In this article, the annual water budget of Lake Tana is determined from estimates of runoff, rainfall on the lake, measured outflow and empirically determined evaporation Simulation of lake level variation (1960-1992) has been conducted through modeling at a monthly time step Despite the ±20% rainfall variations in the Blue Nile basin in the last 50 years, the lake level remained regular.

TL;DR: Wang et al. as discussed by the authors detected temporal trends and frequency changes at three major stations of Yangtze River, i.e. Yichang, Hankou and Datong representing upper, middle and lower reaches, respectively, with the help of parametric t-test, Mann- Kendall analysis and wavelet transform methods.

TL;DR: It is shown that the PSO technique can act as an alternative training algorithm for ANNs and is applied to predict water levels in Shing Mun River of Hong Kong with different lead times on the basis of the upstream gauging stations or stage/time history at the specific station.

TL;DR: In this paper, trends and variability in the hydrological regime were analyzed for the Mackenzie River Basin in northern Canada using the Mann-Kendall nonparametric test to detect trends, the Trend Free Pre-Whitening (TFPW) approach for correcting time-series data for autocorrelation and a bootstrap resampling method to account for the cross-correlation structure of the data.

TL;DR: In this paper, the effects of different fire severities on soil water repellency are examined in eucalypt forest catchments in the Sandstone Tablelands near Sydney, burnt in 2001 and 2003.

TL;DR: In this article, a code solving the 2D shallow water equations by an explicit second-order scheme is used to simulate the severe October 1988 flood in the Richelieu urban locality of the French city of Nimes.

TL;DR: In this paper, an irrigation scheme, based on simulated soil moisture deficit, has been included in the variable infiltration capacity macroscale hydrologic model, which successfully simulates crop consumptive water use in large river basins.

TL;DR: In this paper, the effects of land use change on the flood frequency regime of the Samoggia River were assessed by applying a spatially distributed rainfall-runoff model to generate synthetic river flow series.

TL;DR: In this paper, an integrated approach to climate change impact assessment is explored by linking established models of regional climate (SDSM), water resources (CATCHMOD) and water quality (INCA) within a single framework.

TL;DR: In this paper, R-mode factor analysis and cluster analysis are applied for three different sets of data i.e. total, fresh and saline influenced stations in Mahanadi river systems.

TL;DR: In this paper, a water budget approach is developed to jointly estimate specific yield and natural recharge in an unconfined aquifer with significant seasonal water table fluctuations Water table fluctuations are due to distinct seasonality in groundwater recharge.