Hydrological Processes (HYDROL PROCESS )

Publisher: John Wiley and Sons


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.

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    Hydrological processes (Online), Hydrological processes
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John Wiley and Sons

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Publications in this journal

  • Hydrological Processes 11/2014;
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    ABSTRACT: The groundwater hydrochemical behaviour of the Langueyú creek basin (Argentina) has been evaluated through a systematic survey, followed by application of hydrological and chemometric multivariate techniques. Ten physicochemical parameters were determined in groundwater samples collected from 26 wells during 4 sampling campaigns (June, 2010; October, 2010; February, 2011 and June, 2011), originating a tridimensional experimental dataset X. Univariate statistical and graphical hydrochemical tools (contour maps and Piper diagrams) applied to individual campaigns, allowed to reach some preliminary conclusions. However, a best visualization of the aquifer behaviour was achieved by applying Principal Component Analysis (MA-PCA) and N-way PCA procedures, PARAFAC and Tucker3. Results were consistent with two-term models, being Tucker3 [2 2 1] the most adequate, explaining a large amount of the dataset variance (50.7 %) with a low complexity. The first Tucker3 [1 1 1] interaction (38.2% of variance) is related with (i) calcium/magnesium vs. sodium/potassium ion exchange processes; (ii) an increase of ionic concentration and (iii) a decrease of nitrate pollution, all processes along the direction of the groundwater flow. The second [2 2 1] interaction (12.5% of variance), accounts for the predominant role played by conductivity, bicarbonate and magnesium in the dataset. The seasonal variations are closely related to concentration/dilution phenomena originated by the variations of the phreatic levels, although this point will require additional sampling to establish a definitive hydrochemical model.
    Hydrological Processes 08/2014; 28:4743-4755.
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    ABSTRACT: A guiding principle in hydrological modelling should be to keep the number of calibration parameters to a minimum. A reduced number of parameters to be calibrated, while maintaining the accuracy and detail required by modern hydrological models, will reduce parameter and model structure uncertainty and improve model diagnostics. In this study, the dynamics of runoff are derived from the distribution of distances from points in the catchments to the nearest stream. This distribution is unique for each catchment and can be determined from a geographical information system. The distribution of distances, will, when a celerity of (subsurface) flow is introduced, provide a distribution of travel times, or a unit hydrograph (UH). For spatially varying levels of saturation deficit, we have different celerities and, hence, different UHs. Runoff is derived from the superposition of the different UHs. This study shows how celerities can be estimated if we assume that recession events represent the combined UHs for different levels of saturation deficit. A new soil moisture routine which estimates saturated and unsaturated volumes of subsurface water and with only one parameter to calibrate is included in the new model. The performance of the new model is compared with that of the Swedish HBV model and is found to perform equally well for eight Norwegian catchments although the number of parameters to be calibrated in the module concerning soil moisture and runoff dynamics is reduced from seven in the HBV model to one in the new model. It is also shown that the new model has a more realistic representation of the subsurface hydrology. Copyright © 2013 John Wiley & Sons, Ltd.
    Hydrological Processes 07/2014; 28:4529-4542.
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    ABSTRACT: In the present study, a semi-distributed hydrological model soil and water assessment tool (SWAT) has been employed for the Ken basin of Central India to predict the water balance. The entire basin was divided into ten sub basins comprising 107 hydrological response units on the basis of unique slope, soil and land cover classes using SWAT model. Sensitivity analysis of SWAT model was performed to examine the critical input variables of the study area. For Ken basin, curve number, available water capacity, soil depth, soil evaporation compensation factor and threshold depth of water in the shallow aquifer (GWQ_MN) were found to be the most sensitive parameters. Yearly and monthly calibration (1985–1996) and validation (1997–2009) were performed using the observed discharge data of the Banda site in the Ken basin. Performance evaluation of the model was carried out using coefficient of determination, Nash–Sutcliffe efficiency, root mean square error-observations standard deviation ratio, percent bias and index of agreement criterion. It was found that SWAT model can be successfully applied for hydrological evaluation of the Ken basin, India. The water balance analysis was carried out to evaluate water balance of the Ken basin for 25 years (1985–2009). The water balance exhibited that the average annual rainfall in the Ken basin is about 1132 mm. In this, about 23% flows out as surface run-off, 4% as groundwater flow and about 73% as evapotranspiration. Copyright © 2013 John Wiley & Sons, Ltd.
    Hydrological Processes 06/2014; 28(13):4119–4129.
  • Hydrological Processes 01/2014; 120:81-90.
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    ABSTRACT: The aim of this study was to investigate rainfall-groundwater dynamics over space and annual time scales in a hard-rock aquifer system of India by employing time series, GIS and geostatistical modeling techniques. Trends in 43-year (1965-2007) annual rainfall time series of ten rainfall stations and 16-year (1991-2006) pre- and post-monsoon groundwater levels of 140 sites were identified by using Mann-Kendall, Spearman rank order correlation, and Kendall rank correlation tests. Trends were quantified by Kendall slope method. Furthermore, the study involves novelty of examining homogeneity of pre- and post-monsoon groundwater levels, for the first time, by applying seven tests. Regression analysis between rainfall and post-monsoon groundwater levels was performed. The pre- and post-monsoon groundwater levels for four periods: (a) 1991-1994, (b) 1995-1998, (c) 1999-2002, and (d) 2003-2006 were subjected to GIS-based geostatistical modeling. The rainfall showed considerable saptio-temporal variations, with a declining trend at the Mavli rainfall station (p-value<0.05). The Levene’s tests revealed spatial homogeneity of rainfall at α = 0.05. Regression analyses indicated significant relationships (r2>0.5) between groundwater level and rainfall for eight rainfall stations. Non-homogeneity and declining trends in the groundwater level, attributed to anthropogenic and hydrologic factors, were found at 5 to 61 more sites in pre-monsoon compared to post-monsoon season. The groundwater declining rates in phyllite-schist, gneiss, schist and granite formations were found to be 0.18, 0.26, 0.21 and 0.14 m year-1 and 0.13, 0.19, 0.16 and 0.02 m year-1 during the pre- and post-monsoon seasons, respectively. The geostatistical analyses for four time periods revealed linkages between the rainfall and groundwater levels.
    Hydrological Processes 01/2014; 28(5):2824-2843.
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    ABSTRACT: An accurate simulation of snowmelt runoff is of much importance in arid alpine regions. Data availability is usually an obstacle to use energy‐based snowmelt models for the snowmelt runoff simulation, and temperature‐based snowmelt models are more appealing in these regions. The snow runoff model is very popular nowadays, especially in the data sparse regions, because only temperature, precipitation and snow cover data are required for inputs to the model. However, this model uses average temperature as index, which cannot reflect the snowmelt simulation in the high altitude band. In this study, the snow runoff model is modified on the basis of accumulated active temperature. Snow cover calculation algorithm is added and is no longer needed as input but output. This makes the model able to simulate long‐time runoff and long‐time snow cover variation in every band. An examination of the improved model in the Manas River basin showed that the model is effective. It can reproduce the behaviour of the hydrology and can reflect the actual snow cover fluctuation. Copyright © 2012 John Wiley & Sons, Ltd.
    Hydrological Processes 12/2013; 27(25).
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    ABSTRACT: An ensemble of stochastic daily rainfall projections has been generated for 30 stations across south‐eastern Australia using the downscaling nonhomogeneous hidden Markov model, which was driven by atmospheric predictors from four climate models for three IPCC emissions scenarios (A1B, A2, and B1) and for two periods (2046–2065 and 2081–2100). The results indicate that the annual rainfall is projected to decrease for both periods for all scenarios and climate models, with the exception of a few scenarios of no statistically significant changes. However, there is a seasonal difference: two downscaled GCMs consistently project a decline of summer rainfall, and two an increase. In contrast, all four downscaled GCMs show a decrease of winter rainfall. Because winter rainfall accounts for two‐thirds of the annual rainfall and produces the majority of streamflow for this region, this decrease in winter rainfall would cause additional water availability concerns in the southern Murray–Darling basin, given that water shortage is already a critical problem in the region. In addition, the annual maximum daily rainfall is projected to intensify in the future, particularly by the end of the 21st century; the maximum length of consecutive dry days is projected to increase, and correspondingly, the maximum length of consecutive wet days is projected to decrease. These changes in daily sequencing, combined with fewer events of reduced amount, could lead to drier catchment soil profiles and further reduce runoff potential and, hence, also have streamflow and water availability implications. Copyright © 2012 John Wiley & Sons, Ltd.
    Hydrological Processes 12/2013; 27(25).