Hydrological Sciences Journal/Journal des Sciences Hydrologiques (HYDROLOG SCI J )

Publisher: International Association of Hydrological Sciences


Hydrological Sciences Journal (HSJ) is the official journal of IAHS and provides a forum for original papers and for the exchange of information and views on significant developments in hydrology worldwide. Announcements of IAHS organized or sponsored meetings and book reviews are also included in the printed version. The HSJ impact factor is now 0.885 (ISI Journals Citation Report, 2003). IAHS has published a journal since 1956: it began as a quarterly publication - Bulletin of the International Association of Scientific Hydrology (1956 - 1971) and Hydrological Sciences Bulletin (1972 - 1981) - and became bimonthly in 1988. From 2005, the Journal is available online as well as in print.

Impact factor 1.25

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    Hydrological sciences journal, Journal des sciences hydrologiques
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Publications in this journal

  • Hydrological Sciences Journal/Journal des Sciences Hydrologiques 04/2015;
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    ABSTRACT: Suspended solids are present in every river, but high quantities can worsen the ecological conditions of streams; therefore, effective monitoring and analyses of this hydrological variable are necessary. Frequency, seasonality, inter-correlation, extreme events, trends, and lag analyses were carried out for peaks of suspended sediment concentration (SSC) and discharge (Q) data from Slovenian streams using officially monitored data from 1955 to 2006 that were made available by the Slovenian Environment Agency. In total more than 500 station-years of daily Q and SSC data were used. No uniform (positive or negative) trend was found in the SSC series, however all the statistically significant trends were decreasing. No generalization is possible for the best fit distribution function. A seasonality analysis showed that most of the SSC peaks occurred in the summer (short-term intense convective precipitation produced by thunderstorms) and in the autumn (prolonged frontal precipitation). Correlations between Q and SSC values were generally relatively small (Pearson correlation coefficient values from 0.05 to 0.59), which means that the often applied Q-SSC curves should be used with caution when estimating annual suspended sediment loads. On average, flood peak Q occurred after the corresponding SSC peak (clockwise-positive hysteresis loops), but the average lag-time was rather small (less than 1 day).
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015;
  • Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015;
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    ABSTRACT: This article tests the association between streamflow alteration and the alteration of ecologically significant hydraulic environments. There has been a recent shift in environmental flow assessments to develop rapid desktop-based approaches that are applicable in a regional context. Streamflow statistics (e.g. minimum monthly flow) are often chosen to predict the impact of streamflow alteration on aquatic ecosystems. The assumption that the flow–biota relationship will be obscured by the effect of how streamflow interacts with channel morphology is often acknowledged, but not quantified. In this study, streamflow statistics are derived for 19 reaches in four river systems in Victoria, Australia. Hydraulic metrics were used to quantify ecologically significant surface flow conditions (Froude number) and the area of bench inundation, shallow and deep water. Multivariate analysis was used to investigate the correlation between streamflow statistics altered with regulation and the hydraulic metrics. It was found that streamflow statistics have a weak correlation to surface flow condition and the area of shallow water under natural streamflow conditions. The results show that hydrologic statistics have limited utility in quantifying changes in hydraulic environments. A similar magnitude of flow alteration can produce diverse hydraulic results. The confounding influence of channel morphology prevents streamflow statistics being an adequate surrogate for the assessment of hydraulic alteration. Modelling flow–biota relationships in a regional context is limited by the inadequacy of streamflow statistics to model ecologically significant hydraulic function. Improving knowledge of ecohydraulically significant hydrologic statistics will improve the effectiveness of environmental flow planning to sustain instream habitat conditions. A probabilistic approach is required to enable a risk-based approach to desktop generalization of flow–biota relations.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015; 59(3-4):1-14.
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    ABSTRACT: Water operating rules have been universally used to operate single reservoir, because of their practicability. But the efficiency of operating rules for multi-reservoir system is unsatisfactory in practice. To get a better performance, the combination of water and power operating rules are proposed and developed in this paper. The framework of deriving operating rules for the multi-reservoirs consists of three modules. First, the deterministic optimal operation module is used to determine the optimal reservoir storage strategies. Second, the fitting module is used to identify and estimate the operating rules using multiple linear regression analysis (MLR) and artificial neural networks (ANN) approach. Last, the testing module is used to test the fitting operating rules with observed inflows. The Three Gorges and Qingjiang cascade reservoirs in the Changjiang River basin of China are selected for a case study. It is shown that the combination of water and power operating rules can improve not only assurance probability of output power but also annual average hydropower generation comparing with designed operating rules. It is indicated that characteristics of flood and non-flood season as well as sample input (water or power) should be considered if the operating rules are developed for multi-reservoirs.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015;
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    ABSTRACT: Earlier studies focused on establishing the hydroclimatic teleconnection between hydrologic extremes and a single or a few preselected coupled Oceanic-Atmospheric Circulation Patterns (OACP). In this study, we hypothesize that local (continental scale) hydrologic extremes are, in general, influenced by a concurrent effect of different climate variables from several regions across the globe. The suite of these variables is termed as Global Climate Pattern (GCP) behind the target hydrologic event. To explore our hypothesis, we considered monthly Indian rainfall, which is a complex, continental-scale hydrologic phenomena. Extreme events are identified through Standardized Precipitation Anomaly Index (SPAI), used as an indicator of dry and wet events. The global fields of different climate variables – Sea Surface Temperature (SST), Surface Pressure (SP), Air Temperature (AT), Wind Speed (WS) and Total Precipitable Water (TPW) – are explored for possible revelatory patterns. In all, 15 different variables, each designated by a climate anomaly from a distinct zone on the globe, are found to form a potential global climate signal pool, which can be designated as the GCP for Indian rainfall. The combined information extracted from this GCP is proven to be highly efficient in predicting dry and wet events in Indian rainfall.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015;
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    ABSTRACT: The aim of this paper is to understand the causal factors controlling the relationship between flood peaks and volumes in a regional context. A case study is performed based on 330 catchments in Austria ranging from 6 to 500 km2 in size. Maximum annual flood discharges are compared with the associated flood volumes and the consistency of the peak-volume relationship is quantified by the Spearman’s rank correlation coefficient. The results indicate that climate related factors are more important than catchment related factors in controlling the consistency. Spearman’s rank correlation coefficients typically range from about 0.2 in the high alpine catchments to about 0.8 in the lowlands. The weak dependence in the high alpine catchments is due to the mix of flood types, including long duration snow melt, synoptic floods and flash floods. In the lowlands, the flood durations vary less in a given catchment which is related to the filtering of the distribution of all storms by the catchment response time to produce the distribution of flood producing storms.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 01/2015;
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    ABSTRACT: This study analyses the statistical and dynamic properties of time series of mean annual groundwater levels in the years 1961-2000, the purpose of which was to prepare reference statistics for the studied period. Data came from 62 measurement stations of the groundwater observation network of the Institute of Meteorology and Water Management – the National Research Institute IMGW-PIB – which were located across the Wielkopolska Lowland (western Poland). Station-grouping criteria were the following: the availability of a 40-year measurement series, spatial location as well as separation of the aquifer from the surface. As part of estimating the time series structure of groundwater levels the following stationarity tests were conducted: the augmented Dickey–Fuller test (ADF) and the Kwiatkowski-Phillips-Schmidt-Shin test (KPSS), with positive results in 44% of the stations and the majority comprising a group that represents confined aquifers. Their non-stationarity was attributed to the presence of a long-term stochastic trend. In the majority of cases the groundwater level frequency distributions were within the group of platykurtic distributions, right asymmetrical. In the studied period, 62% of the series showed a downward tendency of groundwater levels, including 45% for which the trend was statistically significant; a rising trend was statistically significant only in half of the series. The masking effect of anthropogenic factors was indicated as a fundamental element interfering with the statistical properties of the groundwater observation series in the period of 1961-2000 in the Wielkopolska Lowland. This information can be of use for the management and protection of water resources and in prognostic studies on modifying aquiferous systems with recorded water deficits.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 12/2014;
  • Hydrological Sciences Journal/Journal des Sciences Hydrologiques 12/2014;