Showing papers in "Journal of Hydrology in 2013"

TL;DR: Inflow of the dam reservoir in the 12 past months shows that ARIMA model had a less error compared with the ARMA model, and dynamic artificial neural network model was chosen as the best model for forecasting inflow of the Dez dam reservoir.

TL;DR: In this paper, the authors proposed to use a combination of graphical results, absolute value error statistics (i.e. root mean square error), and normalized goodness-of-fit statistics (e.g. Nash-Sutcliffe Efficiency coefficient, NSE) for quantifying the goodness of observations against model-calculated values.

TL;DR: In this article, the authors compared the performance of two different approaches such as rule-based decision tree (DT) and combination of frequency ratio (FR) and logistic regression (LR) statistical methods for flood susceptibility mapping at Kelantan, Malaysia.

TL;DR: A review of the use of stable isotopes for hydrograph separation with particular reference to studies completed since the last comprehensive review in 1994 can be found in this paper, where the authors examine the role of soil water as a contributor to channel stormflow and the issues raised by differences in the soil water and groundwater signatures at watershed scale.

TL;DR: In this article, the spatial and temporal trend analysis of annual, monthly and seasonal maximum and minimum temperatures (t(max), t(min)) in India has been performed for three time slots: 1901-2003,1948-2003 and 1970-2003.

TL;DR: In this article, the characteristics of hydro-climatic changes of the Poyang Lake catchment were analyzed based on the observed data for the period 1960-2007, and the relative effect of climate change and human activities was first empirically distinguished by a coupled water and energy budgets analysis, and then the result was further confirmed by a quantitative assessment.

TL;DR: In this paper, the authors used the AGWA tool to parameterize the Soil and Water Assessment Tool (SWAT) for assessing the relative impact of land cover change on hydrologic response.

TL;DR: In this paper, the authors present an assessment of the impacts of climate change on a series of indicators of hydrological regimes across the global domain, using a global hydrologogical model run with climate scenarios constructed using pattern-scaling from 21 CMIP3 (Coupled Model Intercomparison Project Phase 3) climate models.

TL;DR: In this paper, the authors quantitatively evaluate the successive Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products and further explore the improvements and error propagation of the latest 3B42V7 algorithm relative to its predecessor 3b42V6 using the Coupled Routing and Excess Storage (CREST) hydrologic model in the mountainous Wangchu Basin of Bhutan.

TL;DR: In this paper, the authors used eddy covariance (EC) and large aperture scintillometers (LAS) in typical underlying surfaces across the Hai River Basin: orchards (Miyun, MY), cropland in the suburbs (Daxing, DX), and croplands in the plains (Guantao, GT).

TL;DR: In the early stages after the Three Gorges Dam (TGD) began operational ten years ago, the suspended sediment content (SSC) and fluxes in the middle and lower reaches of the Yangtze River decreased noticeably.

TL;DR: In this article, an integrated approach involving hydrological modelling and partial least squares regression (PLSR) was used to quantify the contributions of changes in individual land use types to changes in streamflow and sediment yield.

TL;DR: In this paper, a comprehensive literature review was conducted to provide the state-of-the-art of SAR soil moisture retrieval methodology, its limitations and potential, and a discussion of the benefits and limitations of soil moisture data retrieved from SAR is used to outline the scope of SAR derived soil moisture for hydrological applications.

TL;DR: In this paper, the reliability of inter-basin water transfer to meet the growing water demand in Zayandeh-Rud River Basin is evaluated and a system dynamics model is developed to capture the interrelationships between different sub-systems of the river basin.

TL;DR: In this article, the uncertainty of six empirical downscaling methods in quantifying the hydrological impact of climate change over two North American river basins under different climate conditions was assessed.

TL;DR: In this article, a case study of the Xitiaoxi River basin, one of the main upstream rivers to the Taihu Lake in the Yangtze River Delta, was selected to perform the study and the results showed that the expansion of urban areas had a slight influence on the simulated annual streamflow and evapotranspiration as far as the whole catchment is concerned.

TL;DR: In this paper, the authors used the Mann-Kendall and Pettitt tests to test the trends of Blue Nile flow and sediment load at the outlet of the Upper Blue Nile basin at El Diem station.

TL;DR: In this paper, the application of Artificial Neural Networks (ANN) and multiple regression analysis (MR) to forecast long-term seasonal spring rainfall in Victoria, Australia was investigated using lagged El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) as potential predictors.

TL;DR: In this paper, the impacts of urbanisation on baseflow in peri-urban catchments, with the aim of better understand the potential role of stormwater infiltration source-control technologies in restoring pre-development baseflows.

TL;DR: Wang et al. as mentioned in this paper investigated the temporal variations in reference evapotranspiration (ET0) and aridity index (AI) for 23 meteorological stations during 1955-2008 in the northwest China.

TL;DR: In this article, the impact of climate change on freshwater availability in Africa at the subbasin level for the period of 2020-2040 was analyzed, and the results showed that for Africa as a whole, the mean total quantity of water resources is likely to increase.

TL;DR: In this article, the authors investigated the uncertainty of hydrological predictions due to rainfall-runoff model parameters in the context of climate change impact studies and found that the lack of robustness was the major source of variability in streamflow projections in future climate conditions for the two models tested.

TL;DR: Comparison of methods to prevent multi-layer perceptron neural networks from overfitting of the training data in the case of daily catchment runoff modelling shows that the elaborated noise injection method may prevent overfitting slightly better than the most popular early stopping approach.

TL;DR: Wang et al. as mentioned in this paper investigated the landscape patterns within watersheds in the Upper Du River watershed (8973 km 2 ) in China and examined how the spatial patterns of land cover are related to the soil erosion and sediment yield of watersheds using hydrological modeling and partial least squares regression (PLSR).

TL;DR: Based on remote sensing and GIS techniques together with bathymetric survey and water balance analysis, Wang et al. as discussed by the authors show how climatic changes and glacier mass loss have influenced the inland lake dynamics on the central TP.

TL;DR: In this paper, satellite-based rainfall estimates (SRFE) are used as forcing data for hydrological applications, and the authors assess the individual and combined effect of SRFE-specific calibration and bias correction on the hydrologic performance, including the level of complexity required regarding bias correction and interpolation.

TL;DR: In this paper, a modified Variable Infiltration Capacity (VIC) model was employed to better understand climate change impact and long-term and recent land cover/use change impact as it relates to the "Grain for Green Project" and "Three Rivers Source Region Reserve" on water resources by examining mechanisms behind observed streamflow changes.

TL;DR: In this paper, four high-resolution multi-sensor blended precipitation products, TRMM Multisatellite Precipitation Analysis (TMPA), 3B42 V7 and near real-time product (3B42 RT), are evaluated over the Yangtze River basin from April 2008 to March 2012 using the gauge data.

TL;DR: In this article, the Forchheimer equation and Izbash's law have been used to quantify the nonlinear effect of fracture flow in non-mated fractures under variable confining stress.

TL;DR: The obtained results show that ANN models and nu-SVR model using Gamma Test for input selection has better performance than regression combination, and M-test can be used as a new method to determine the number of required data for network training for creating a smooth model by nu- SVR and ANN models.