Irrigation Science Journal Impact Factor & Information

Publisher: Springer Verlag

Journal description

Irrigation Science will publish original contributions and short communications reporting the results of irrigation research including relevant contributions from the plant soil and atmospheric sciences as well as the analysis of field experimentation. Special emphasis will be given to multi-disciplinary studies dealing with the problems involved in maintaining the long term productivity of irrigated lands and in increasing the efficiency of agricultural water use. Aspects of particular interest are: Physiology of plant growth and yield response to water status. Physical and chemical aspects of water status and movement in the plant-soil-atmosphere system. Salinity and alkalinity control by soil and water management. Measurement and modification of crop and control of water in plant soil and atmosphere. Water requirements in irrigation practice. Ecological aspects of irrigated agriculture.

Current impact factor: 2.06

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 2.056
2013 Impact Factor 2.843
2012 Impact Factor 2.289
2011 Impact Factor 1.635
2010 Impact Factor 2.113
2009 Impact Factor 1.753
2008 Impact Factor 1.891
2007 Impact Factor 1.737
2006 Impact Factor 1.16
2005 Impact Factor 1.605
2004 Impact Factor 0.605
2003 Impact Factor 0.966
2002 Impact Factor 0.364
2001 Impact Factor 0.467
2000 Impact Factor 0.63
1999 Impact Factor 0.267
1998 Impact Factor 0.361
1997 Impact Factor 0.292
1996 Impact Factor 0.317
1995 Impact Factor 0.388
1994 Impact Factor 0.316
1993 Impact Factor 0.44
1992 Impact Factor 0.344

Impact factor over time

Impact factor

Additional details

5-year impact 2.43
Cited half-life 7.00
Immediacy index 0.22
Eigenfactor 0.00
Article influence 0.80
Website Irrigation Science website
Other titles Irrigation science (Online), Irrig sci
ISSN 0342-7188
OCLC 41983898
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • Irrigation Science 07/2015; DOI:10.1007/s00271-015-0472-6
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    ABSTRACT: Monitoring the moisture patterns at the root zone is necessary for agricultural, hydrological, and environmental applications. Conventional monitoring methods are usually invasive, destructive, and only sample at a small spatial scale. Electrical resistivity tomography (ERT) can set an alternative or be complementary to common traditional methods in evaluating the moisture content and its spatiotemporal patterns. In this study, we used the ERT method to monitor the hydro-geophysical dynamics under a drip-irrigated citrus orchard in a semi-arid region. Geophysical surveys were performed monthly for over a year. The obtained data from the electrical measurements were inverted to produce 2D tomograms of the bulk electrical conductivity. Calibrations of the petrophysical relations were conducted using both laboratory and field procedures. The obtained electrical results, and especially their temporal dynamics, cannot always be explained using the common assumption of uniform spatiotemporal distribution of the pore water electrical conductivity. To separate the two main components of the petrophysical relations, namely water content and pore water conductivity, we used a modeling approach. A coupled flow and transport model was calibrated using the electrical conductivity measurements, allowing separation of the contribution of the water content and pore water electrical conductivity to the bulk electrical conductivity. This allowed explaining the temporal dynamics of the measured electrical signal and a better understanding of the water and solute dynamics in the root zone.
    Irrigation Science 07/2015; 33(4). DOI:10.1007/s00271-015-0467-3
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    ABSTRACT: Clogging of subsurface drip irrigation (SDI) systems by root penetration into the emitters results in inappropriate water supply, increased replacement rates of SDI systems and increased costs. We found that impregnation of SDI drippers with copper oxide particles inhibits root penetration very significantly. The inhibition of root penetration varied from 24 to 76 % of the control (60-80 % intrusion) depending on the copper oxide concentration of the drippers. The root penetration inhibition was demonstrated at two water flow rates, of 1 and 3.5 l/h, and with new and used drippers after 1750 irrigation hours. Inhibition of root penetration occurred also if sewage water was used. The inhibition of root penetration into drippers was demonstrated with lettuce and tomato plants and reached similar efficacy as compared to the widely used herbicide Stomp® root penetration inhibition treatment. The amount of copper that leached into the water was below detection limit (less than 0.006 ppm). No loss of copper oxide particles was detected in drippers through which 3350 l of water was passed (an amount of water that typically passes in SDI systems during 3-4 years of use), as determined by scanning electronic microscope and X-ray photoelectron spectrum analysis.
    Irrigation Science 07/2015; 33(4). DOI:10.1007/s00271-015-0468-2
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    ABSTRACT: The efficient irrigation systems utilizing numerical models based on Richard’s flow equation require key input parameters, soil hydraulic parameters (SHPs). The present study proposes a method to determine the SHPs from the soil water contents at field capacity and wilting point, which are determined for irrigation scheduling. It also compares them with the SHPs estimated by various pedotransfer functions (PTFs) to simulate respective soil water retention curves (SWRCs). High efficiencies of 70-80 % were obtained in simulating the SWRCs by the proposed method as compared to PTFs. In order to further assess the applicability of the SHPs as determined, the experiments were conducted under real field conditions for wheat crop in Roorkee, India, and SWRCs were experimentally determined. These different sets of SHPs, along with experimentally determined saturated permeability, were then used as input parameters in root water uptake model and the results of observed and simulated soil water contents were compared under three different irrigation treatments. It was found that the experimentally obtained SHPs and those obtained by the proposed method were able to simulate the soil water contents with efficiencies of 70-80 % at all the depths for all the three irrigation treatments, while the PTFs performed poorly.
    Irrigation Science 07/2015; 33(4). DOI:10.1007/s00271-015-0463-7
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    ABSTRACT: Emitter clogging has become one of the main restrictions in the development of drip irrigation with reclaimed water. Numerous studies have found that emitter clogging is closely related to the formation and growth of biofilms attached within the emitter wall, raising the question of how to effectively control the formation of biofilms, which is the key to solving emitter clogging. Lateral flushing could promote the rapid shedding of biofilms and wash the irrigation system by increasing the hydraulic shear force within the laterals; this would reduce the frequent shedding of biofilms from the lateral walls into the emitter during the irrigation operation and the clogging of the emitter. Therefore, we conducted an in situ drip irrigation experiment with reclaimed water in a sewage treatment plant under three conditions of lateral flushing frequency (triweekly, biweekly, and weekly), and the dynamic changes in emitter clogging and biofilm components were studied. We found that lateral flushing can effectively slow down emitter clogging in a reclaimed water drip irrigation system. The values for the discharge ratio variation and coefficient of uniformity were the highest, and those for solid particles and phospholipid fatty acids were the lowest for the biweekly lateral flushing frequency. However, lateral flushing failed to completely solve the emitter clogging problem, and some additional measures must be combined with this process to control emitter clogging problems.
    Irrigation Science 05/2015; 33(3). DOI:10.1007/s00271-015-0462-8
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    ABSTRACT: The classical head–discharge relation for rectangular sharp-crested weirs is applicable only to free flow conditions, not valid at low head when flow becomes clinging. Based on experimental data for eight sharp-crested rectangular weirs of different sizes, a new method for calculating discharge at the low head bistable and clinging flow regime was proposed in this study. In the bistable zone, the head–discharge relationship can be covered partly by the classical weir–discharge equations of free flow. The discharge coefficient is quite similar to Rehbock’s equation for free flow with a surface tension term. In the clinging flow regime, the head had to be transformed into an equivalent head obtained by regression. All the regression parameters were about the same for the weirs of different sizes. In the clinging zone, discharge was also directly proportional to weir width, while unit width discharge was directly proportional to the square of head, independent of weir height. The errors of model-predicted discharge were less than 10 % for more than 90 % of the data points. Therefore, the proposed method for discharge of clinging flow is applicable to rectangular sharp-crested weirs at very low head, while the classical formulas often fail under these flow conditions.
    Irrigation Science 03/2015; 33(2). DOI:10.1007/s00271-014-0453-1
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    ABSTRACT: Dairy farmers in the southern Murray-Darling (M-DB) of Australia are considering subsurface drip irrigation (SDI) for pasture production in response to reduced water supply. Use of SDI in pasture production is a significant departure from previous SDI knowledge because in pasture irrigation (1) uniform moisture, nutrients and pasture growth is sought across the full paddock width, (2) the pasture is grazed by dairy cattle, and (3) is grown on duplex soils with distinctive hydraulic behaviour. A field experiment was conducted on two dairy farms with contrasting subsoil hydraulic characteristics to investigate the impact of SDI design (tape spacing) and operation (irrigation frequency) on pasture productivity and hydrology under grazed conditions. Treatments comprising of tape spacing (0.6, 1.0 and 1.4 m) and irrigation frequency (D or 4D) were imposed. SDI successfully supported contiguous perennial pasture under grazing during a period of drought. The impact of SDI design and operation on pasture accumulation and its spatial variability differed strongly between sites, reflecting soil hydraulic characteristics. Pasture composition and irrigation efficiency were insensitive to SDI design and operation at both sites. Water balance analysis indicated that deep percolation was the main pathway for water loss in SDI pasture production, though the dominance of this over surface runoff will be influenced by soil hydraulic properties. SDI can support grazed pasture production on the duplex soils of the southern M-DB; however, its performance may be insufficient to offset the high economic cost of SDI technology.
    Irrigation Science 03/2015; 33(2). DOI:10.1007/s00271-014-0454-0
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    ABSTRACT: This paper describes a method of irrigation called measured irrigation (MI). MI is a gravity-feed irrigation system that directly controls the volume of water emitted from each emitter nozzle in each sector during the irrigation event without the need to control the flow rate or the duration of the irrigation event. Three implementations of MI are described: unpowered single-sector MI, solar-powered single-sector MI and solar-powered multi-sector MI. For solar-powered MI, the irrigation frequency is proportional to the evaporation rate minus the precipitation rate. MI does not require access to electricity grid power or to an urban water supply. Trials compare the accuracy and uniformity of MI with pressure-compensating drip irrigation products.
    Irrigation Science 03/2015; 33(2). DOI:10.1007/s00271-014-0452-2
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    ABSTRACT: Variable-rate irrigation (VRI) systems have the potential to conserve water by spatially allocating limited water resources. However, when compared to traditional irrigation systems, VRI systems require a higher level of management. In this 3-year study, we evaluated spatial irrigation management of a peanut crop grown under a VRI system using an expert system (Irrigator Pro). The irrigation management treatments evaluated were: (1) using Irrigator Pro (IP) to manage irrigation uniformly in plots with varying soils; (2) using Irrigator Pro to manage irrigation in plots based on the individual soils (IPS); (3) a treatment based on maintaining soil water potential (SWP) above −30 kPa (approximately 50 % depletion of available water) in the surface 30 cm of each soil within a plot; and (4) a non-irrigated treatment. Over the 3-year study, all irrigated treatments had significantly higher yields (4,230, 4,130, and 4,394 kg ha−1 for the IP, IPS, and SWP treatments, respectively) than the non-irrigated treatment (3,285 kg ha−1), yet the yields of the three irrigation treatments were not significantly different. Averaged over the 3-year experiment, the three treatments did not differ significantly in water usage. In the 2007 and 2009 growing seasons with below normal rainfall, the IP and IPS treatments required significantly greater total water than the SWP treatment. Overall, water use efficiency was significantly higher for the non-irrigated and SWP treatments (9.4 and 8.9 kg ha−1 per mm, respectively). The lower water use efficiency for the IP and IPS irrigation treatments (7.8 kg ha−1 per mm) was attributed to greater water applications mainly due to earlier growing season initiation of irrigation applications. However, the IP and IPS treatments maintained soil water potentials at the 30- and 60-cm depths at higher levels throughout most of the season. The two Irrigator Pro expert system treatments functioned as well as the SWP-based treatment. The Irrigator Pro expert system can be effectively used for site-specific management where management zone soils do not greatly differ. Further refinement of the expert system may be needed to improve its application in spatial irrigation applications.
    Irrigation Science 01/2015; 33(3). DOI:10.1007/s00271-014-0457-x
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    ABSTRACT: A study was conducted in a large pistachio farm in Madera County, California, to assess the spatial variability in water status and irrigation needs by using high-resolution thermal imagery acquired by an unmanned aerial system. We determined the Crop Water Stress Index (CWSI) of two fields, 130 ha each, based on canopy temperature measurements of individual tree crowns, thus assessing the spatial variations in tree water status within each field. The CWSI of each potential management unit (sectors encompassing about 175 trees) was then calculated and related to the days since last irrigation (DSLI) in F1 and F2. The relationship between CWSI and DSLI was established to calculate the average CWSI corresponding to the whole area that was irrigated on the same day. This value was afterward compared with the actual CWSI value of each management unit as a proxy of the spatial variability in CWSI. This information was used to calculate the deviation of each irrigation unit from the fixed irrigation schedule for the whole fields. Our results show that it is feasible to use high-resolution thermal imagery for integrating the crop response in irrigation performance assessment and for providing recommendations at the farm scale.
    Irrigation Science 01/2015; 33(1):43-52. DOI:10.1007/s00271-014-0447-z