Showing papers in "Journal of Hydrology in 2015"

TL;DR: In this article, the authors build and calibrate an integrated hydrological model of Europe using the Soil and Water Assessment Tool (SWAT) program, and discuss issues with data availability, calibration of large-scale distributed models, and outline procedures for model calibration and uncertainty analysis.

TL;DR: In this paper, an intelligent learning machine called Random Forest (RF) was used to solve the non-linear problems inherent to risk assessment, as well as estimating the importance degree of each index.

TL;DR: Wang et al. as mentioned in this paper carried out a comprehensive analysis of their spatio-temporal variation based on multiple drought indices from a climatic perspective, and developed a 3-dimensional clustering method is developed to identify drought events in China from 1961 to 2012 based on the 0.25° gridded indices of SPI3 (3 months Standardized Precipitation Index), RDI3 ( 3 months Reconnaissance Drought Index) and SPEI3(3 months SSPEI Index).

TL;DR: In this paper, a comprehensive Austrian dataset consisting of 44 catchments with long time series of hydrometeorological data (on average around 50 years) and information on a large number of physiographic catchment characteristics was used for predicting and the selection of drought sensitive regions.

TL;DR: A comprehensive review of global SA methods in the field of hydrological modeling, including the relationship between parameter identification, uncertainty analysis, and optimization in hydrology, and how to deal with correlated parameters, and time-varying SA is provided.

TL;DR: A comprehensive review of multivariate drought indices developed recently can be found in this article, where the authors provide useful information for operational drought characterization with current multivariate DIE indices and for the development of new multivariate DIDE indices.

TL;DR: This paper explores the state-of-the-art application of AI in stream-flow forecasting, focusing on defining the data-driven of AI, the advantages of complementary models, as well as the literature and their possible future application in modeling and forecasting stream- flow.

TL;DR: In this article, the authors highlight the most critical aspects of the problem of predicting fertility and highlight that to determine if a laboratory test(s) is highly correlated with fertility, it is essential to have: a) specific, precise and accurate laboratory tests, and b) precise, and accurate fertility data.

TL;DR: In this paper, the authors investigated the changes in drought characteristics across different aridity zones with and without consideration of potential evapotranspiration (PET), as a means to better assess drought in a warming climate.

TL;DR: This paper reviews the state of the art on the scientific knowledge and practice of modelling the urban hydrological system at the catchment scale, with the purpose of identifying current limitations and defining a blueprint for future modelling advances.

TL;DR: In this paper, the authors used data from 15 global climate models archived in the Coupled Model Intercomparison Project (CMIP5) to assess the likelihood of changes in the spatial extent, duration and number of occurrences of four drought indices.

TL;DR: In this article, the implementation of low impact development systems (LID) as source control solutions that contribute to restore the critical components of natural flow regimes, is analyzed at the urban catchment scale.

TL;DR: A novel approach that employs Binary-coded discrete Fully Informed Particle Swarm optimization and Extreme Learning Machines (ELM) to develop fast and accurate IVS algorithms that are particularly suited for rainfall–runoff modeling applications characterized by high nonlinearity in the catchment dynamics.

TL;DR: In this paper, a review of fundamental water scarcity and drought indexes that enable to assess the status of a water exploitation system is presented to help decision makers and stakeholders to select the most appropriate indexes, taking as the starting point the objectives of the analysis and the river basin features.

TL;DR: In this article, a two-step framework based on four single-parameter Budyko-type equations is proposed to separate the impacts of climate change and human activities on runoff.

TL;DR: In this article, the authors analyzed the sensitivity of four drought indices to precipitation (P) and reference evapotranspiration (ETo) inputs using long-term simulated series with varying averages and variances, as well as global observational data to assess the sensitivity to real climatic conditions in different regions of the World.

TL;DR: In this article, the authors quantify the impact of human water use including reservoir regulation and climate change on future low flows and associated hydrological drought characteristics on a global scale, and show that human water usage is proportional to the changes in the climate.

TL;DR: Results obtained from this study indicate that the conjunction of wavelet decomposition and artificial intelligence models can be a useful tool for accurate forecasting daily water level and can yield better efficiency than the conventional forecasting models.

TL;DR: In this article, the authors explored the effects of runoff and suspended sediment load on the evolution of the Yellow River Delta (YRD) from 1983 to 2011 using long-term data from a hydrological monitoring station and remotely-sensed satellite images.

TL;DR: In this paper, the DRASTIC method was modified to estimate vulnerability and pollution risk of porous aquifers to nitrate in the Anthemountas basin, and two new methods were then applied in the porous aquifer of the basin.

TL;DR: In this paper, the authors investigated the impact of rainfall input resolution on the outputs of detailed hydrodynamic models of seven urban catchments in North-West Europe, and identified critical rainfall resolutions to accurately characterize catchment response to nine storm events measured by a dual-polarimetric X-band weather radar.

TL;DR: In this article, the Forchheimer equation coefficients for non-Darcy flow in deformable rough-walled fractures were evaluated using a triaxial cell under confining stresses varying from 1.0 MPa to 30 MPa.

TL;DR: In this paper, the authors investigate the accuracy of least square support vector machine (LSSVM), multivariate adaptive regression splines (MARS) and M5 Model Tree (M5Tree) models in estimating the pan evaporation (Ep) data of Mersin and Antalya stations using cross-validation method.

TL;DR: Comparing the performance of MM against global models for nine different gaging stations in the northern United States shows that there is no evidence that MM outperform global GM for predicting the total flow, suggesting that these two objectives are intrinsically conflicting rather than compatible.

TL;DR: In this paper, the authors used a multilayer percepetron (MLP) network and tree-rings to simulate groundwater level fluctuations during the past century, and the results showed that an integration of dendrochronology and ANN rendered a high degree of accuracy and efficiency in the simulation of groundwater levels.

TL;DR: In this article, the performance of ELM model is compared with the empirical P-M equation and with feedforward backpropagation (FFBP) model for predicting Penman-Monteith (P-M) ET 0 for Mosul, Baghdad, and Basrah meteorological stations, located at the north, mid and southern part of Iraq.

TL;DR: In this paper, the fraction of precipitation from 1979 to 2012 that is related to ARs in these regions was investigated, with the largest contribution generally occurring during the winter season and being on the order of 30-50%.

TL;DR: In this article, the authors presented a hydro-economic model that links a reduced form hydrological component, with economic and environmental components to analyze the effects of droughts and to assess alternative adaptation policies.

TL;DR: In this paper, a fully-distributed, multi-physics, mult-scale hydrologic and hydraulic modeling system, WRF-Hydro, is used to assess the potential for skillful flood forecasting based on precipitation inputs derived from the Weather Research and Forecasting (WRF) model and the EUMETSAT Multi-sensor Precipitation Estimates (MPEs).

TL;DR: In this article, the authors developed a map that depicts the likelihood of existence of groundwater, consisting of five classes, showing the groundwater potentiality and ranging from very high to very low.