Hydrological Processes (HYDROL PROCESS)

Publisher: Wiley

Journal description

Hydrological Processes is an international journal devoted to the publication of original scientific and technical papers in hydrology. The objective of these communications is to improve our understanding of hydrological processes. The scope of the journal encompasses disciplines focussing on the physical biogeochemical mathematical and methodological aspects of hydrological processes together with research on instrumentation and techniques. The journal also publishes several issues annually which relate to themes emergent from conferences hydrological science societies and key research topics identified by editorial board members. HP welcomes the submission of comment/reply on previously published papers. Such submissions should preferably be in the form of a short paper not exceeding 2000 words and relate to papers previously published in HP. All papers for HP should be prepared in accordance with the notes for contributors (http:// www.interscience.wiley.com/jpages/0885-6087/authors.html). Submit papers to the Editor-in-chief of HP or one of the two Associate Editors HPToday is devoted to research and sources of information which are considered to be deserving of rapid dissemination to hydrologists. As such it should be seen as a forum for rapid scientific communication and as a vehicle for up-to-date dialogues in hydrological sciences. HPToday includes invited commentaries letters to the editor refereed scientific briefings current awareness book reviews listing and reviews of internet sites software conference listings and industry updates. Submission information can be found in the HPToday section.

Current impact factor: 2.68

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 2.677
2013 Impact Factor 2.696
2012 Impact Factor 2.497
2011 Impact Factor 2.488
2010 Impact Factor 2.068
2009 Impact Factor 1.87
2008 Impact Factor 2.002
2007 Impact Factor 1.798
2006 Impact Factor 1.64
2005 Impact Factor 1.336
2004 Impact Factor 1.457
2003 Impact Factor 1.242
2002 Impact Factor 1.081
2001 Impact Factor 1.175
2000 Impact Factor 1.006
1999 Impact Factor 1.301
1998 Impact Factor 0.893
1997 Impact Factor 0.94
1996 Impact Factor 0.772
1995 Impact Factor 0.75
1994 Impact Factor 0.697
1993 Impact Factor 1.238
1992 Impact Factor 0.7

Impact factor over time

Impact factor
Year

Additional details

5-year impact 3.35
Cited half-life 7.80
Immediacy index 0.59
Eigenfactor 0.03
Article influence 1.02
Website Hydrological Processes website
Other titles Hydrological processes (Online), Hydrological processes
ISSN 0885-6087
OCLC 43011525
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Wiley

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 12 months embargo
  • Conditions
    • Some journals have separate policies, please check with each journal directly
    • On author's personal website, institutional repositories, arXiv, AgEcon, PhilPapers, PubMed Central, RePEc or Social Science Research Network
    • Author's pre-print may not be updated with Publisher's Version/PDF
    • Author's pre-print must acknowledge acceptance for publication
    • Non-Commercial
    • Publisher's version/PDF cannot be used
    • Publisher source must be acknowledged with citation
    • Must link to publisher version with set statement (see policy)
    • If OnlineOpen is available, BBSRC, EPSRC, MRC, NERC and STFC authors, may self-archive after 12 months
    • If OnlineOpen is available, AHRC and ESRC authors, may self-archive after 24 months
    • Publisher last contacted on 07/08/2014
    • This policy is an exception to the default policies of 'Wiley'
  • Classification
    yellow

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Future extreme precipitation (EP, daily rainfall amount over certain thresholds) is projected to increase with global climate change; however, its effect on groundwater recharge has not been fully explored. This study specifically investigates the spatiotemporal dynamics of groundwater recharge and the effects of extreme precipitation (daily rainfall amount over the 95th percentile, which is tagged by ranking the percentiles in each season for a base period) on groundwater recharge from 1950-2010 over the Northern High Plains Aquifer (NHP) using the Soil Water Balance Model. The results show that groundwater recharge significantly (p<0.05) increased in the eastern NHP from 1950-2010, where the highest annual average groundwater recharge occurs compared to the central and the western NHP. In the eastern NHP, 45.1% of the annual precipitation fell as EP, which contributed 56.8% of the annual total groundwater recharge. In the western NHP, 30.9% of the annual precipitation fell as extreme precipitation, which contributed 62.5% of the annual total groundwater recharge. In addition, recharge by extreme precipitation mainly occurred in late spring and early summer, before the maximum evapotranspiration rate, which usually occurs in mid-summer until late fall. A dry site in the western NHP and a wet site in the eastern NHP were analyzed to indicate how recharge responds to EP with different precipitation regimes. The maximum daily recharge at the dry site exceeded the wet site when there was EP. When precipitation fell as non-extreme rainfall, most recharge was less than 5 mm at both the dry and wet sites, and the maximum recharge at the dry site became lower than the wet site. This study shows that extreme precipitation plays a significant role in determining groundwater recharge. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
  • Qiang Zhang · Jianyu Liu · Vijay P. Singh · Xihui Gu · Xiaohong Chen
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    ABSTRACT: Variations in streamflows of five tributaries of the Poyang Lake basin, China, due to the influence of human activities and climate change were evaluated using the Australia Water Balance Model (AWBM) and multivariate regression. Results indicated that multiple regression models were appropriate with precipitation, potential evapotranspiration of the current month, and precipitation of the last month as explanatory variables. The NASH coefficient for the AWBM model was larger than 0.842, indicating satisfactory simulation of streamflow of the Poyang Lake basin. Comparison indicated that the sensitivity method could not exclude the benchmark-period human influence, and the human influence on streamflow changes was overestimated. Generally, contributions of human activities and climate change to streamflow changes were 73.2% and 26.8%, respectively. However, human- and climate-induced influences on streamflow were different in different river basins. Specifically, climate change was found to be the major driving factor for the increase of streamflow within the Rao, Xin and Gan River basins; however, human activity was the principal driving factor for the increase of streamflow of the Xiu River basin and also for the decrease of streamflow of the Fu River basin. Meanwhile, impacts of human activities and climate change on streamflow variations were distinctly different at different temporal scales. At the annual time scale, the increase of streamflow was largely due to climate change and human activities during the 1970s-1990s and the decrease of streamflow during the 2000s. At the seasonal scale, Climate change was the main factor behind the increase of streamflow in the spring and summer season. Human activities increase the streamflow in autumn and winter, but decrease the streamflow in spring. At the monthly scale, different influences of climate change and human activities were detected. Climate change was the main factor behind the decrease of streamflow during May to June and human activities behind the decrease of streamflow during February to May. Results of this study can provide a theoretical basis for basin-scale water resources management under the influence of climate change and human activities. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: This paper presents an alternative Boussinesq equation considering hysteresis effect via a third-order derivative term. By introducing an improved moisture-pressure retention function, this equation describes, with reasonable precision, groundwater propagation in coastal aquifers subject to Dirichlet boundary condition of different oscillation frequencies. Test results confirmed that it is necessary to consider horizontal and vertical flows in unsaturated zone, due to their variable influences on hysteresis. Hysteresis in unsaturated zone can affect the water table wave number of groundwater wave motion, such as wave damping rate and phase lag. Oscillations with different periods exert different hysteresis effect on wave propagation. Truncation/shrinkage of unsaturated zones also affects the strength of hysteresis. These impacts can be reflected in the alternative Boussinesq equation by adjusting the parameter representing the variation rate of moisture associated with pressure change, as opposed to traditional computationally expensive hysteresis algorithms. The present Boussinesq equation is simple to use and can provide feasible basis for future coupling of groundwater and surface water models. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: A novel form of urbanization, Low Impact Development (LID), aims to engineer systems that replicate natural hydrologic functioning, in part by infiltrating stormwater close to the impervious surfaces that generate it. We sought to statistically evaluate changes in a base flow regime due to urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We used a case study watershed in Clarksburg, Maryland, in which streamflow was monitored during whole-watershed urbanization from forest and agricultural to suburban residential development using LID. The 1.11-km2 watershed contains 73 infiltration-focused stormwater facilities, including bioretention facilities, dry wells, and dry swales. We examined annual and monthly flow during and after urbanization (2004—2014) and compared alterations to nearby forested and urban control watersheds. We show that total streamflow and base flow increased in the LID watershed during urbanization as compared to control watersheds. The LID watershed had more gradual storm recessions after urbanization and attenuated seasonality in base flow. These flow regime changes may be due to a reduction in evapotranspiration because of the overall decrease in vegetative cover with urbanization, and the increase in point sources of recharge. Precipitation that may once have infiltrated soil, been stored in soil moisture to be eventually transpired in a forested landscape may now be recharged and become base flow. The transfer of evapotranspiration to base flow is an unintended consequence to the water balance of LID. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
  • [Show abstract] [Hide abstract]
    ABSTRACT: We study the scale-dependence of the saturated hydraulic conductivity Ks through the effective porosity ne by means of a newly developed power-law model (PLM) which allows to use simultaneously measurements at different scales. The model is expressed as product between a single PLM (capturing the impact of the dominating scale), and a characteristic function k⋆ accounting for the correction due to the other scale(s). The simple (closed form) expression of the k⋆-function enables one to easily identify the scales which are relevant for Ks. The proposed model is then applied to a set of real data taken at the experimental site of Montalto Uffugo (Italy), and we show that in this case two (i.e. laboratory and field) scales appear to be the main ones. The implications toward an important application (solute transport) in Hydrology are finally discussed.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: It is a common practice to employ hydrologic models for assessing present and future states of watersheds, and assess the degree of alterations for a range of hydrologic indicators. Previous studies indicate that the hydrologic model may not be able to replicate some of the indicators of interest, which raises questions on the reliability of model simulated changes. Hence, we initiated a study to evaluate the replicability of the streamflow changes by employing the widely used Variable Infiltration Capacity (VIC) hydrologic model for sub-basins and mainstem of the Fraser River Basin, Canada. Given that the hydrologic regime of the region is known to be influenced by teleconnections to the Pacific Decadal Oscillation (PDO) and El Niño–Southern Oscillation (ENSO), we used hydrologic responses to the PDO and ENSO states as analogues for evaluating the model's ability to simulate climate-induced changes. The results revealed that the qualitative patterns of response, such as lower flows for the warm PDO state compared to the cool state, and progressively higher flows for the warm, neutral and cool ENSO states, were generally well reproduced for most hydrologic indicators. Additionally, while the directions of change between the different PDO and ENSO states were mostly well replicated, the magnitude of change for some of the indicators showed considerable differences. Hence, replicability of both magnitude and direction of change need to be carefully examined before using the simulated indicators for assessing future hydrologic changes, and a reliable replication increases the confidence of projected changes. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: Essentially all scientific knowledge about surface water hydrology and biogeochemistry originates from field observations, experiments, and empirical measurements. Time-series have been particularly important for providing process based insights and therefore for the development of an increasingly robust understanding of how surface water and its quality respond to environmental change. The availability of such data has been especially valuable when they have been collected, measured and analyzed using consistent and standardized protocols over decadal time and across multiple spatial scales. However, independent of the length and extent of any environmental dataset, its true value can never exceed its total use, which in turn primarily is determined by its availability for the research community and society. Hence to maximize the value of any field data collection effort the data and associated metadata must be made available to other scientists, authorities, and interested users. Most issues that we discuss in this commentary are not new but we want to share some experiences and insights for sharing field based data with the research community. In addition we introduce a simple FAIR & Square concept that provides a simple protocol for how to organize, make available and share data in a way that hopefully benefits all. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: Observations of sea level and precipitation in Malmö, Sweden in the southeastern part of the sound Öresund have been used to estimate the probabilities of local compound events of high sea level and large daily and hourly rains. There are observations of sea level and daily rains extending back to 1930. The observations of short-term rainfall are from 1980 and onwards. Most large rainfalls come in the summer, while the highest sea levels are in the autumn and in the winter. The highest observed sea level is about 130 cm above mean sea level and the largest daily rain is close to 100 mm. However, the highest sea level observed during a day with rainfall corresponding to the one-year rain is less than 60 cm. The highest sea level observed during an hour with one-year hourly rainfall is 30 cm. From the statistics of daily rains, hourly rains and sea level, extreme values for each of them have been computed. For events with frequency higher than one per four years the probabilities of combined events sea level – rainfall are determined directly from the observations. For more rare events, marginal distributions of sea level and rainfall are determined. Copulas and conditional probabilities are used. When the sea level exceeds 20 cm above mean sea level, daily rains exceeding 10 mm are almost independent of the sea level and so are hourly rains exceeding 5 mm. It is extremely rare that large rains occur when the sea level is very high. The combination of one-year rainfall and the one-year sea level has a return period of more than 200 years. This article is protected by copyright. All rights reserved.
    No preview · Article · Feb 2016 · Hydrological Processes
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    ABSTRACT: Soil moisture is a significant state variable in flood forecasting. Nowadays more and more satellite soil moisture products are available, yet their usage in the operational hydrology is still limited. This is because the soil moisture state variables in most operational hydrological models (mostly conceptual models) are over-simplified – resulting in poor compatibility with the satellite soil moisture observations. A case study is provided to discuss this in more detail, with the adoption of the XAJ model and the Soil Moisture and Ocean Salinity (SMOS) level-3 soil moisture observation to illustrate the relevant issues. It is found that there are three distinct deficiencies existed in the XAJ model that could cause the mismatch issues with the SMOS soil moisture observation: i) it is based on runoff generation via the field capacity excess mechanism (interestingly, such a runoff mechanism is called the saturation excess in XAJ while in fact it is clearly a misnomer); ii) evaporation occurs at the potential rate in its upper soil layer until the water storage in the upper layer is exhausted, and then the evapotranspiration process from the lower layers will commence – leading to an abrupt soil water depletion in the upper soil layer; iii) it uses the multi-bucket concept at each soil layer - hence the model has varied soil layers. Therefore, it is a huge challenge to make an operational hydrological model compatible with the satellite soil moisture data. The paper argues that this is possible and some new ideas have been explored and discussed.
    No preview · Article · Jan 2016 · Hydrological Processes
  • [Show abstract] [Hide abstract]
    ABSTRACT: Modelling the hydrology of North American Prairie watersheds is complicated due to the existence of numerous landscape depressions that vary in storage capacity. The Soil and Water Assessment Tool (SWAT) is a widely applied model for long term hydrological simulations in watersheds dominated by agricultural land uses. However, several studies show that the SWAT model has had limited success in handling prairie watersheds. In past works using SWAT, landscape depression storage heterogeneity has largely been neglected or lumped. In this study, a probability distributed model of depression storage is introduced into the SWAT model to better handle landscape storage heterogeneity. The work utilizes a probability density function to describe the spatial heterogeneity of the landscape depression storages that was developed from topographic characteristics. The integrated SWAT-PDLD model is tested using datasets for two prairie depression dominated watersheds in Canada: the Moose Jaw River watershed, Saskatchewan; and the Assiniboine River watershed, Saskatchewan. Simulation results were compared to observed streamflow using graphical and multiple statistical criterions. Representation of landscape depressions within SWAT using a probability distribution (SWAT-PDLD) provides improved estimations of streamflow for large prairie watersheds in comparison to results using a lumped, single storage approach.
    No preview · Article · Jan 2016 · Hydrological Processes
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    ABSTRACT: Activities of radon (222Rn) in groundwater were continuously monitored in a saline aquifer from September 2010 to July 2011. The activities of 222Rn ranged from 200 to 4,300 Bq m−3, with a large seasonal variation. Since the activity of 222Rn in seawater is low, 222Rn in saline groundwater must be produced in the aquifer from radium (226Ra) in rocks and sediments. The 222Rn activities were higher in the warm-dry seasons (September-November 2010 and April-May 2011) when the saline aquifer was stable. In contrast, the lowest 222Rn activities were observed in the cold-dry season (December 2010 and January-March 2011), due to the effective exchange between groundwater and seawater. In addition, sudden decreases of 222Rn activities coincided with episodic drops in groundwater temperatures. These results reveal that lower seawater temperature in winter may result in density-driven seawater intrusion. During the wet season (June-July 2011), 222Rn activities were more clearly affected by semi-monthly and diurnal tidal pumping, showing higher 222Rn activities during low and spring tides. Such a tidal effect was not clearly observed during the warm-dry and cold-dry seasons. This result implies that the residence time of SGD in coastal zones are significantly affected by seasonal changes in driving forces such as tidal pumping and seawater density.
    No preview · Article · Jan 2016 · Hydrological Processes
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    ABSTRACT: Prediction Intervals (PIs) are commonly used to quantify the accuracy and precision of a forecast. However, traditional ways to construct PIs typically require strong assumptions about data distribution and involve a large computational burden. Here, we improve upon the recent proposed Lower Upper Bound Estimation (LUBE) method and extend it to a multi-objective framework. The proposed methods are demonstrated using a real-world flood forecasting case study for the upper Yangtze River Watershed. Results indicate that the proposed methods are able to efficiently construct appropriate PIs, while outperforming other methods including the widely used Generalized Likelihood Uncertainty Estimation (GLUE) approach.
    No preview · Article · Jan 2016 · Hydrological Processes
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    ABSTRACT: This study analyzes some hydrological driving forces and their interrelation with surface-flow initiation in a semiarid Caatinga basin (12 km2), Northeastern Brazil. During the analysis period (2005 – 2014), 118 events with precipitation higher than 10 mm were monitored, providing 45 events with runoff, 25 with negligible runoff and 49 without runoff. To verify the dominant processes, 179 on-site measurements of saturated hydraulic conductivity (Ksat) were conducted. The results showed that annual runoff coefficient lay below 0.5% and discharge at the outlet has only occurred four days per annum on average, providing an insight to the surface-water scarcity of the Caatinga biome. The most relevant variables to explain runoff initiation were total precipitation and maximum 60-min rainfall intensity (I60). Runoff always occurred when rainfall surpassed 31 mm, but it never occurred for rainfall below 14 mm or for I60 below 12 mm.h−1. The fact that the duration of the critical intensity is similar to the basin concentration time (65 min); and that the infiltration threshold value approaches the river-bank saturated hydraulic conductivity support the assumption that Hortonian runoff prevails. However, none of the analyzed variables (total or precedent precipitation, soil moisture content, rainfall intensities or rainfall duration) has been able to explain the runoff initiation in all monitored events: the best criteria, e.g., failed to explain 27% of the events. It is possible that surface-flow initiation in the Caatinga biome is strongly influenced by the root-system dynamics, which changes macro-porosity status and, therefore, initial abstraction.
    No preview · Article · Jan 2016 · Hydrological Processes