Hydrological Sciences Journal/Journal des Sciences Hydrologiques Impact Factor & Information

Publisher: International Association of Hydrological Sciences, Taylor & Francis

Journal description

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.

Current impact factor: 1.25

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.252
2012 Impact Factor 1.114
2011 Impact Factor 1.541
2010 Impact Factor 1.447
2009 Impact Factor 1.418
2008 Impact Factor 1.216
2007 Impact Factor 1.604
2006 Impact Factor 1.201
2005 Impact Factor 1.606
2004 Impact Factor 1.326
2003 Impact Factor 0.885
2002 Impact Factor 1.2
2001 Impact Factor 1.22
2000 Impact Factor 0.861
1999 Impact Factor 1.009
1998 Impact Factor 0.411
1997 Impact Factor 0.381
1996 Impact Factor 0.386
1995 Impact Factor 0.392
1994 Impact Factor 0.465
1993 Impact Factor 0.288
1992 Impact Factor 0.236

Impact factor over time

Impact factor

Additional details

5-year impact 1.72
Cited half-life 9.00
Immediacy index 0.26
Eigenfactor 0.00
Article influence 0.58
Website Hydrological Sciences Journal / Journal des Sciences Hydrologiques website
Other titles Hydrological sciences journal, Journal des sciences hydrologiques
ISSN 0262-6667
OCLC 8293191
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis'
  • Classification
    ​ green

Publications in this journal

  • Hydrological Sciences Journal/Journal des Sciences Hydrologiques 08/2015; DOI:10.1080/02626667.2015.1083649
  • [Show abstract] [Hide abstract]
    ABSTRACT: Somalia has frequently been affected by droughts, famines and water-related humanitarian crises. Water is scarce and the only perennial streams, the Juba and Shabelle Rivers, are transboundary with river flows mainly originating from the Ethiopian highlands. In both riparian countries water demands are projected to increase. This paper reveals the impact of rising regional water abstractions on stream flows by illustrating sectoral demands and joining them into scenarios of medium and high population and economic growth. These scenarios are associated to the time horizons of 2035 and 2055 respectively. The scenarios disclose alarming trends especially for the Shabelle River: In the medium and high growth scenarios, water demands surpass the available river flows by 200 hm³ and 3 500 hm³ respectively. The calculated deficits partly derive from conflicting assumptions about river flows by the two main riparian countries, an obstacle to any integrated planning efforts and sustained regional development.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 07/2015; Taylor & Francis Online:http://dx.doi.org/10.1080/02626667.2015.1058944. DOI:10.1080/02626667.2015.1058944
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study assessed the performance of Fourier series in representing seasonal variation of tropical rainfall process in Malaysia. Fourier series is incorporated into a spatial temporal stochastic model in an attempt to make model parsimonious and at the same time, capture the annual variation of rainfall distribution. In view of Malaysia’s main rainfall regime, the model is individually fitted at two regions with distinctive rainfall profiles; one is an urban area receiving rainfall from convective activities whilst the other receives from monsoonal activities. Since both regions are susceptible to floods, the study focuses on rainfall process at fine resolution. Fourier series equations are developed to represent model’s parameters to describe their annual periodicity. The number of significant harmonics for each parameter is determined by inspecting the cumulative fraction of total variance explained by the significant harmonics. Results revealed that the number of significant harmonics assigned for the parameters is slightly higher in region with monsoonal rains. The overall simulation results showed that the proposed model is capable of generating tropical rainfall series from convective and monsoonal activities. For full paper, http://www.tandfonline.com/eprint/gH6zQ2rvXV59XNYK7eC4/full or email me at : zaida.kl@utm.my
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 07/2015; DOI:10.1080/02626667.2015.1062892
  • Hydrological Sciences Journal/Journal des Sciences Hydrologiques 06/2015; DOI:10.1080/02626667.2015.1058627
  • [Show abstract] [Hide abstract]
    ABSTRACT: Curbing water scarcity problem in semi-arid regions is a top priority for economic and social development. Sustainable domestic water supply alternative strategies are therefore required to augment water supply with affordable cost and technology. Scanty research findings in Sub-Saharan Africa; however, reported inefficiency to adapt water scarcity problems in the region. Therefore, investigation of domestic rainwater harvesting (RWH) reliability seems important to extract factors affecting the system. We found that rainwater harvesting with the existing traditional RWH systems in Mekelle city were unreliable. Unreliability was attributed to inefficient design, as the systems were installed without considering deterministically the stochastic nature of rainfall, family size, water demand, rooftop area and storage tank size.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 06/2015; DOI:10.1080/02626667.2015.1061195
  • [Show abstract] [Hide abstract]
    ABSTRACT: A semi-distributed hydrological model is developed, calibrated and validated against unregulated river discharge from the Tocantins-Araguaia River Basin, northern Brazil. Climate change impacts are simulated using projections from the 41 Coupled Model Intercomparison Project Phase 5 climate models for the period 2071-2100 under the RCP4.5 scenario. Scenario results are compared to a 1971-2000 baseline. Most climate models suggest declines in mean annual discharge although some predict increases. A large proportion suggest that the dry season experiences large declines in discharge, especially during the transition to the rising water period. Most models (>75%) suggest declines in annual minimum flows. This may have major implications for both current and planned hydropower schemes. There is greater uncertainty in projected changes in wet season and annual maximum discharges. Two techniques are investigated to reduce uncertainty in projections, but neither are able to provide more confidence in the simulated changes in discharge.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 06/2015; DOI:10.1080/02626667.2015.1057513
  • [Show abstract] [Hide abstract]
    ABSTRACT: The application of artificial neural networks (ANNs) is widely used recently in streamflow forecasting because of it flexible mathematical structure. However, several researchers have indicated that using ANN in streamflow forecasting often produces timing lag between observed and simulated time series. In addition, ANN under or overestimate a number of peak flows. In this paper, we proposed three data-processing techniques to improve ANN prediction and deal with its weaaknesses. Wilson-Hilferty transformation (WH) and two methods of base flow separation (One Parameter Digital Filter OPDF; and Recursive Digital Filter RDF) were coupled with ANN to build three hybrid models: ANN-WH, ANN-OPDF and ANN-RDF. The network behavior was quantitatively evaluated by examining the difference between model output and observed variables. The results show that even following the guidelines of Wilson-Hilferty transformation which reduces significantly the effect of local variations, it was found that the ANN-WH model has shown no significant improvement of peak flow estimation neither of timing error. However, combining baseflow with streamflow and rainfall provides important information to ANN model concerning the flow process operating in the aquifer and the watershed systems. The model produced excellent performance in terms of various statistical indices where timing error was totally eradicated and peak flow estimation significantly improved.
    Hydrological Sciences Journal/Journal des Sciences Hydrologiques 06/2015; DOI:10.1080/02626667.2015.1055271