This page has only limited features, please log in for full access.

Dr. Hamed Ebrahimian
Associate professor in Irrigation & Drainage Eng. , University of Tehran

Basic Info


Research Keywords & Expertise

0 Irrigation Management
0 Irrigation efficiency
0 Irrigation water use
0 Irrigation engineering
0 Irrigation agronomy

Fingerprints

Irrigation Management
Irrigation efficiency
Irrigation water use

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 07 May 2021 in International Agrophysics
Reads 0
Downloads 0
ACS Style

Ali Pahlevani; Hamed Ebrahimian; Fariborz Abbasi; Haruyuki Fujimaki. Distribution of soil water and nitrate in furrow irrigation under different plastic mulch placement conditions for a maize crop: Field and modelling study. International Agrophysics 2021, 35, 131 -144.

AMA Style

Ali Pahlevani, Hamed Ebrahimian, Fariborz Abbasi, Haruyuki Fujimaki. Distribution of soil water and nitrate in furrow irrigation under different plastic mulch placement conditions for a maize crop: Field and modelling study. International Agrophysics. 2021; 35 (2):131-144.

Chicago/Turabian Style

Ali Pahlevani; Hamed Ebrahimian; Fariborz Abbasi; Haruyuki Fujimaki. 2021. "Distribution of soil water and nitrate in furrow irrigation under different plastic mulch placement conditions for a maize crop: Field and modelling study." International Agrophysics 35, no. 2: 131-144.

Research article
Published: 03 May 2021 in Irrigation and Drainage
Reads 0
Downloads 0

In spite of the importance of increasing water shortages in most pomegranate production regions, there is not sufficient information about the water requirement and crop coefficients (Kc) of pomegranate trees under various conditions (e.g., plant cultivar and age and irrigation system). The aim of this study was to measure evapotranspiration during three growing seasons (2013, 2015, and 2016) and to determine Kc of young and mature pomegranate (Punica granatum L.) trees under drip irrigation in Iran. The soil water balance approach was applied to determine crop evapotranspiration (ETc) using soil water content measured during the growing seasons. The ratio of measured ETc to reference evapotranspiration calculated according to the Penman–Monteith equation provided the Kc values. According to the findings, from bud burst to peak season, daily Kc values for young pomegranate trees ranged from 0.18 to 0.70, 0.22 to 0.89, and 0.23 to 0.95 in 2013, 2015, and 2016, respectively. For mature pomegranate trees, these values varied between 0.26 to 1.15, 0.21 to 1.25, and 0.30 to 1.08 in 2013, 2015, and 2016, respectively. From bud burst to peak season, the total ETc for young pomegranate trees was 711, 905, and 934 mm and for mature pomegranate trees 1,172, 1,086, and 1,138 in 2013, 2015, and 2016, respectively. The results of this study are applicable to accurate water allocation, precision irrigation scheduling, and design of irrigation systems in pomegranate orchards.

ACS Style

Hamideh Noory; Mohamad Abbasnejad; Hamed Ebrahimian; Hossein Azadi. Determining evapotranspiration and crop coefficients of young and mature pomegranate trees under drip irrigation*. Irrigation and Drainage 2021, 1 .

AMA Style

Hamideh Noory, Mohamad Abbasnejad, Hamed Ebrahimian, Hossein Azadi. Determining evapotranspiration and crop coefficients of young and mature pomegranate trees under drip irrigation*. Irrigation and Drainage. 2021; ():1.

Chicago/Turabian Style

Hamideh Noory; Mohamad Abbasnejad; Hamed Ebrahimian; Hossein Azadi. 2021. "Determining evapotranspiration and crop coefficients of young and mature pomegranate trees under drip irrigation*." Irrigation and Drainage , no. : 1.

Original article
Published: 23 March 2021 in Modeling Earth Systems and Environment
Reads 0
Downloads 0

This paper aims for evaluating the border irrigation performance sensitivity including application efficiency, advance time, runoff and deep infiltration ratios to the variation of soil texture, land use, discharge, border length and soil moisture. The measurement of infiltration was done by the double-ring method in five soil texture classes and three land uses. HYDRUS-1D model was calibrated for simulating infiltration in various initial soil moisture. Next, calculated infiltration parameters by HYDRUS-1D were presented to SIRMOD for simulating border irrigation in the various lengths of the border and discharges. The result showed by decreasing the soil moisture, the variation of the performance parameters has possessed a trend of increasing, but for the runoff ratio. Therefore, by incrementing the irrigation period, application efficiency will be incremented. Under different soil textures and land uses, the deep infiltration and runoff ratios were the most and least sensitive parameters concerning soil moisture. Most variations of performance parameters were in sandy loam texture and wheat land use, however, the least variations of the parameters were in silty loam texture and fallow land use. To decrease application efficiency sensitivity to soil moisture, discharge and border length must be considered less and more for soils with great permeability than for soils with little permeability, respectively.

ACS Style

Ali Javadi; Mohammad Shayannejad; Hamed Ebrahimian; Shoja Ghorbani-Dashtaki. Simulation modeling of border irrigation performance under different soil texture classes and land uses. Modeling Earth Systems and Environment 2021, 1 -10.

AMA Style

Ali Javadi, Mohammad Shayannejad, Hamed Ebrahimian, Shoja Ghorbani-Dashtaki. Simulation modeling of border irrigation performance under different soil texture classes and land uses. Modeling Earth Systems and Environment. 2021; ():1-10.

Chicago/Turabian Style

Ali Javadi; Mohammad Shayannejad; Hamed Ebrahimian; Shoja Ghorbani-Dashtaki. 2021. "Simulation modeling of border irrigation performance under different soil texture classes and land uses." Modeling Earth Systems and Environment , no. : 1-10.

Journal article
Published: 03 February 2021 in Remote Sensing of Environment
Reads 0
Downloads 0

Proximal and remote sensing techniques in the optical domain are cost-effective alternatives to standard soil property characterization methods. However, the extent of light penetration into the soil sample, also termed soil information depth, is not well understood. In this study a new analytical model that links the particle size distribution and soil reflectance in the near infrared (NIR) and shortwave infrared (SWIR) bands of the electromagnetic spectrum is introduced. The model enables the partitioning of measured reflectance spectra into surface and volume (subsurface) contributions, thereby yielding insights about the soil information depth. The model simulations indicate that the surface reflectance contribution to the total reflectance is significantly higher than the volume reflectance contribution for a broad range of soils that vastly differ in texture, mineralogical composition and organic matter contents. The ratio of volume to total reflectance is higher for sandy soils than for clayey soils, especially at longer optical wavelengths, but the ratio rarely exceeds 15%. Therefore, the light reflection from dry soils is predominantly a surface phenomenon and the information depth in most soils rarely exceeds 1 mm. The results of this study reveal an intimate physical relationship between soil reflectance and the particle size distribution in the NIR/SWIR range, which opens a potential new avenue for retrieval of the particle size distribution from remotely sensed reflectance via a universal process-based approach.

ACS Style

Sarem Norouzi; Morteza Sadeghi; Abdolmajid Liaghat; Markus Tuller; Scott B. Jones; Hamed Ebrahimian. Information depth of NIR/SWIR soil reflectance spectroscopy. Remote Sensing of Environment 2021, 256, 112315 .

AMA Style

Sarem Norouzi, Morteza Sadeghi, Abdolmajid Liaghat, Markus Tuller, Scott B. Jones, Hamed Ebrahimian. Information depth of NIR/SWIR soil reflectance spectroscopy. Remote Sensing of Environment. 2021; 256 ():112315.

Chicago/Turabian Style

Sarem Norouzi; Morteza Sadeghi; Abdolmajid Liaghat; Markus Tuller; Scott B. Jones; Hamed Ebrahimian. 2021. "Information depth of NIR/SWIR soil reflectance spectroscopy." Remote Sensing of Environment 256, no. : 112315.

Originalpaper
Published: 27 November 2020 in Eurasian Soil Science
Reads 0
Downloads 0

Inverse modeling is a relatively complex procedure that allows quick estimation of soil hydraulic properties, yielding parameters for both soil water retention and unsaturated hydraulic conductivity function from a single experiment. The purpose of this research was to evaluate saline water effect on unsaturated hydraulic properties of clay loamy nonsaline-sodic soil layers and estimate these properties inversely from infiltration data using a double-ring infiltrometer.Three levels of water salinity (EC) 1.1, 2.2 and 5.8 dS/m were used for each treatment (T1, T2, and T3, respectively). Soil samples at three depths (0–20, 20–40 and 40–60 cm) were taken to measure Mualem–van Genuchten (MVG) hydraulic parameters (θr, residual water content, θs, saturated water content, α and n, shape parameters, and Ks, lab saturated hydraulic conductivity). Soil hydraulic parameters were estimated with an inverse solution using HYDRUS-1D model and infiltration data. Besides, the most sensitive MVG parameters to infiltration data (n, θs, and Ks) were inversely estimated due to difficulty in estimating several parameters simultaneously. Results showed that salinity had no significant effect on soil water infiltration and soil hydraulic conductivity changes in the specified salinity range according to the variance analyses (ANOVA).The Nash–Sutcliffe coefficient of efficiency (Ce) between simulated (HYDRUS) and measured values of cumulative infiltration data was about 0.998, indicating an excellent match. Soil water retention, as well as unsaturated soil hydraulic conductivity, were optimized with reasonable accuracy when the soil profile was assumed to be homogenous. In addition, simulated soil-water contents were quite similar to the measured values in which the values of Nash–Sutcliffe efficiency (Ce) for T1, T2, and T3 were 0.83, 0.85, and 0.85, respectively. In conclusion, the soil hydraulic parameters can be inversely estimated using the measured infiltration data through the double ring method if the soil is homogeneous.

ACS Style

M. Amini; H. Ebrahimian; A. Liaghat; H. Fujimaki. Unsaturated Soil Hydraulic Properties according to Double-Ring Infiltration of Saline Water. Eurasian Soil Science 2020, 53, 1596 -1609.

AMA Style

M. Amini, H. Ebrahimian, A. Liaghat, H. Fujimaki. Unsaturated Soil Hydraulic Properties according to Double-Ring Infiltration of Saline Water. Eurasian Soil Science. 2020; 53 (11):1596-1609.

Chicago/Turabian Style

M. Amini; H. Ebrahimian; A. Liaghat; H. Fujimaki. 2020. "Unsaturated Soil Hydraulic Properties according to Double-Ring Infiltration of Saline Water." Eurasian Soil Science 53, no. 11: 1596-1609.

Research article
Published: 01 November 2020 in Irrigation and Drainage
Reads 0
Downloads 0

The objective of this study was to assess the different scenarios for improving the irrigation application efficiency of a two‐row bed furrow irrigation system (wide furrow) using the SIRMOD model in six sugar beet fields of the Moghan plain for the 2015–2016 growing season. The Moghan plain is situated in the Ardebil province of Iran. Therefore, five scenarios including: (i) irrigation cut‐off time equal to the advance time (ICTEAT); (ii) cutting off the flow discharge before it reaches the end (CTIBRE); (iii) increasing the flow discharge up to 2.5 l s¯¹ and cutting it off when the irrigation requirement is fulfilled (IARCSI); (iv) increasing inflow discharge up to 2.5 l s¯¹ and cutting off the flow discharge as soon as the advance phase reaches the end (IARCARE); (v) reducing inflow rate, cut‐off time and furrow length (100 m in all the furrows) by blocking the end of the furrow (RICTLBE), were applied using the calibrated SIRMOD model. In addition, surge irrigation was carried out in fields with high percolation. The results indicated that the average irrigation application efficiency under the current status was 35%. However, average application efficiencies increased to 63, 74, 59, 60 and 77% in the ICTEAT, CTIBRE, IARSCI, IARCARE and RICTLBE scenarios, respectively. The application efficiency for fields with high percolation increased from 32%, in the current status, to 53, 64, 62, 60, 78 and 76% under ICTEAT, CTIBRE, IARSCI, IARCARE, RICTLBE and surge irrigation, respectively. Overall, the irrigation management scenarios could substantially reduce on‐farm irrigation water losses.

ACS Style

Yaser Hamdi Ahmadabad; Abdolmajid Liaghat; Teymor Sohrabi; Ali Rasoulzadeh; Hamed Ebrahimian. Improving performance of furrow irrigation systems using simulation modelling in the Moghan plain of Iran*. Irrigation and Drainage 2020, 70, 131 -149.

AMA Style

Yaser Hamdi Ahmadabad, Abdolmajid Liaghat, Teymor Sohrabi, Ali Rasoulzadeh, Hamed Ebrahimian. Improving performance of furrow irrigation systems using simulation modelling in the Moghan plain of Iran*. Irrigation and Drainage. 2020; 70 (1):131-149.

Chicago/Turabian Style

Yaser Hamdi Ahmadabad; Abdolmajid Liaghat; Teymor Sohrabi; Ali Rasoulzadeh; Hamed Ebrahimian. 2020. "Improving performance of furrow irrigation systems using simulation modelling in the Moghan plain of Iran*." Irrigation and Drainage 70, no. 1: 131-149.

Journal article
Published: 01 November 2020 in Agricultural Water Management
Reads 0
Downloads 0

Accurate determination of temporal variability in infiltration parameters and Manning’s roughness coefficient is essential for appropriate design of surface irrigation systems to improve irrigation performance and reduce water losses. The objective of this study was to evaluate the effects of temporal variability and different inflow rates on infiltration parameters, Manning’s roughness, and irrigation performance. The field experiments included three inflow rates (1, 1.5 and 2 L/s) and three irrigation events (3rd, 5th and 8th events from 14. Sep. 2016 to 5 Nov. 2016) arranged in three replications at Salman Farsi Agro-Industry Sugarcane fields, located in the southwest of Iran. Also, experimental treatments were conducted in nine furrows with a length of 250 m, the width of 1.83 m and closed-end boundary. The results indicated that there was no significant difference in the Manning’s roughness during the growing season. On the other hand, there were significant reductions of the Manning’s roughness for inflow rates of 1.5 and 2 L/s in comparison with that obtained in inflow rate of 1 L/s. Results also indicated that the cut-off time and infiltrated volume were significantly affected by the temporal variability of infiltration parameters and roughness coefficient. The values of infiltration parameters during the growing season were variable because of various field conditions and sugarcane growth. There were significant differences between the values of parameters of the Kostiakov-Lewis infiltration equation during the growing season. The results showed that changing the inflow rate from 1 to 1.5 and 2 L/sec increased the value of final infiltration rate (f0) in the 5th irrigation event by 6.2% and 39.7% in the 8th irrigation event. The advance and recession times increased during the growing season, in which there was an effective difference in the 8th irrigation event compared to that in the 5th irrigation event. The temporal variability during growing season resulted in a significant reduction in application efficiency (from 74 to 49%), distribution uniformity (from 91 to 80%), and a significant increase in deep percolation (from 25 to 51%). The results showed that when the inflow rate increased from 1 to 1.5 and 2 L/s, the mean values of application efficiency decreased by 3.43 and 24.55%, deep percolation decreased by 27.34 and 34.17% and finally, distribution uniformity increased significantly by 9.7 and 9.3%, respectively.

ACS Style

Reza Mazarei; Amir Soltani Mohammadi; Hamed Ebrahimian; Abd Ali Naseri. Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates. Agricultural Water Management 2020, 245, 106465 .

AMA Style

Reza Mazarei, Amir Soltani Mohammadi, Hamed Ebrahimian, Abd Ali Naseri. Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates. Agricultural Water Management. 2020; 245 ():106465.

Chicago/Turabian Style

Reza Mazarei; Amir Soltani Mohammadi; Hamed Ebrahimian; Abd Ali Naseri. 2020. "Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates." Agricultural Water Management 245, no. : 106465.

Research article
Published: 21 September 2020 in Communications in Soil Science and Plant Analysis
Reads 0
Downloads 0

Estimation of canopy cover (CC) can be replaced with measurement of dry matter (DM) during the growing season, which leads to saving cost and time. A variety of software programs, such as Canopeo, have recently been launched for estimating CC by processing digital images. The main objective of the present study was to validate whether the CC estimated by Canopeo could be used to determine the critical nitrogen dilution curve (CNDC) of maize. DM and critical nitrogen concentration (%Nc) of summer maize were measured during the growing seasons in 2015 and 2016. On the same dates, CC was estimated by digital images and Canopeo. The CNDC based on DM (Nc, DM) was accurately described by the equation Nc, DM = 2.9DM−0.27. Furthermore, an exponential relationship was observed between CC and DM (R2 = 0.934) that resulted in the estimation of DM based on CC (DMcc). A new CNDC based on CC was determined (Nc,CC = 4e −1.17CC) by replacing DMcc in the Nc,DM which has an acceptable accuracy in estimating Nitrogen Nutrition Index. These results demonstrate that Canopeo can be applied as a useful tool to develop CNDC and Nitrogen management for different varieties of plants under various climatic conditions.

ACS Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. Determination of Critical Nitrogen Dilution Curve Based on Canopy Cover Data for Summer Maize. Communications in Soil Science and Plant Analysis 2020, 51, 2244 -2256.

AMA Style

Arash Ranjbar, Ali Rahimikhoob, Hamed Ebrahimian, Maryam Varavipour. Determination of Critical Nitrogen Dilution Curve Based on Canopy Cover Data for Summer Maize. Communications in Soil Science and Plant Analysis. 2020; 51 (17):2244-2256.

Chicago/Turabian Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. 2020. "Determination of Critical Nitrogen Dilution Curve Based on Canopy Cover Data for Summer Maize." Communications in Soil Science and Plant Analysis 51, no. 17: 2244-2256.

Journal article
Published: 12 September 2020 in Water
Reads 0
Downloads 0

Optimization of water use with consideration of salinity control is a crucial task for crop production. A new scheme, “optimized irrigation”, was recently presented to determine irrigation depth using WASH_1D/2D which are numerical simulation models of water flow and solute transport in soils and crop growth. In the scheme, irrigation depth is determined such that net income is maximized considering the price of water and weather forecasts. To evaluate whether the optimized irrigation is also able to restrict salinity stress and avoid salinization without any intentional leaching, we carried out a numerical experiment for winter wheat grown in northern Sudan under the following scenarios: (1) Available water in the root zone is refilled using freshwater (0.17 g/L of NaCl) at every five days; (2) available water in the root zone is refilled using saline water (1.7 g/L) at every five days; (3) optimized irrigation using fresh water at 7-days interval; (4) optimized irrigation on a weekly basis using saline water; and (5) same as scenario 2, except for leaching is carried out at the middle of the growing season and leaching depth is optimized such that net income is maximized. The results showed that the optimized irrigation scheme automatically instructs additional water required for leaching at each irrigation event and maximizes the net income even under saline conditions.

ACS Style

Haruyuki Fujimaki; Hassan M. Abd El Baki; Seyed Mohamad Mahdavi; Hamed Ebrahimian. Optimization of Irrigation and Leaching Depths Considering the Cost of Water Using WASH_1D/2D Models. Water 2020, 12, 2549 .

AMA Style

Haruyuki Fujimaki, Hassan M. Abd El Baki, Seyed Mohamad Mahdavi, Hamed Ebrahimian. Optimization of Irrigation and Leaching Depths Considering the Cost of Water Using WASH_1D/2D Models. Water. 2020; 12 (9):2549.

Chicago/Turabian Style

Haruyuki Fujimaki; Hassan M. Abd El Baki; Seyed Mohamad Mahdavi; Hamed Ebrahimian. 2020. "Optimization of Irrigation and Leaching Depths Considering the Cost of Water Using WASH_1D/2D Models." Water 12, no. 9: 2549.

Original paper
Published: 01 April 2020 in Irrigation Science
Reads 0
Downloads 0

Surface irrigation, particularly furrow irrigation, is the most common method of water application into agricultural lands. Despite all its advantages, furrow irrigation has some demerits, such as a potential large volume of runoff losses. In this research, an approach was proposed to reduce runoff losses and to improve water flow characteristics by creating micro-dams, barriers inside the irrigated furrows. To control water flow and increase infiltration into the soil, experimental micro-dams were created at distances of 10 and 20 m, with a height of 5 cm. Field experiments were conducted at the research farm of the College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran in summer of 2018. Two erosive inflow rates (0.6 and 0.9 L/s) were considered. Furrow length and spacing were 100 and 0.75 m, respectively. Results indicated that micro-dams increased the advance time, leading to increased infiltration. Micro-dams also increased the recession time, due to the increase in overland water volume. Moreover, results showed that in treatments with micro-dams, runoff was reduced by up to 45.3% in comparison to the control treatment. The change in furrow cross-sectional area during the irrigation event was also reduced. Micro-dams showed a great potential to reduce irrigation runoff losses, and should be considered as a management practice aiming at water and soil conservation.

ACS Style

Mohammad Sadegh Keshavarz; Hamed Ebrahimian; Fariborz Abbasi; Enrique Playán. Effect of micro-dams on water flow characteristics in furrow irrigation. Irrigation Science 2020, 38, 307 -319.

AMA Style

Mohammad Sadegh Keshavarz, Hamed Ebrahimian, Fariborz Abbasi, Enrique Playán. Effect of micro-dams on water flow characteristics in furrow irrigation. Irrigation Science. 2020; 38 (3):307-319.

Chicago/Turabian Style

Mohammad Sadegh Keshavarz; Hamed Ebrahimian; Fariborz Abbasi; Enrique Playán. 2020. "Effect of micro-dams on water flow characteristics in furrow irrigation." Irrigation Science 38, no. 3: 307-319.

Article
Published: 17 March 2020 in Paddy and Water Environment
Reads 0
Downloads 0

Aqua-agriculture reservoirs have been used as one of the main resources for supplying water to paddy fields, particularly under water shortage conditions. In this study, a simulation–optimization model for conjunctive use of irrigation canals and aqua-agriculture reservoir was developed in order to maximize rainwater harvesting while minimizing water withdrawal from irrigation canal. The simulation and optimization processes were done based on water balance and using genetic algorithm, respectively. The model was run for dry (2014), normal (2013) and wet (2012) years for Zarrin-Kola aqua-agriculture reservoir, located in Juybar, north of Iran. According to the results, in wet, normal and dry years, 37.4, 29.9 and 12.1% of precipitation at the reservoir upstream were transformed to runoff, respectively. The results depicted that the volume of overflow from the reservoir in wet and normal years was 0.45 and 0.13 times greater than reservoir maximum capacity, respectively. Therefore, the amount of withdrawn water from irrigation canals should be decreased or the capacity of the reservoir could be increased as much as overflowed water in wet year. Increasing the area of cultivation fields or planting second crops can be considered as the other management practices for water optimum usage. However, there was deficit irrigation in dry year and withdrawing water from canal was not capable to address the total water demand. According to the results of the considered scenarios, it can be concluded that under drought conditions, deficit irrigation or decreasing cultivation area could be considered as efficient management approaches. If deficit irrigation is not carried out (i.e., full irrigation), the area of cultivation fields irrigated by the reservoir should be decreased from 620 to 424 ha.

ACS Style

Hamed Ebrahimian; Babak Dialameh; Seyed-Mohammad Hosseini-Moghari; Amirhossein Ebrahimian. Optimal conjunctive use of aqua-agriculture reservoir and irrigation canal for paddy fields (case study: Tajan irrigation network, Iran). Paddy and Water Environment 2020, 18, 499 -514.

AMA Style

Hamed Ebrahimian, Babak Dialameh, Seyed-Mohammad Hosseini-Moghari, Amirhossein Ebrahimian. Optimal conjunctive use of aqua-agriculture reservoir and irrigation canal for paddy fields (case study: Tajan irrigation network, Iran). Paddy and Water Environment. 2020; 18 (3):499-514.

Chicago/Turabian Style

Hamed Ebrahimian; Babak Dialameh; Seyed-Mohammad Hosseini-Moghari; Amirhossein Ebrahimian. 2020. "Optimal conjunctive use of aqua-agriculture reservoir and irrigation canal for paddy fields (case study: Tajan irrigation network, Iran)." Paddy and Water Environment 18, no. 3: 499-514.

Research article
Published: 05 February 2020 in Irrigation and Drainage
Reads 0
Downloads 0

If furrow irrigation is properly designed and implemented, this method would be one of the best surface irrigation systems. To achieve high irrigation efficiency and uniformity in surface irrigation, the use of simulation models is inevitable. The purpose of this study was to develop a seasonal furrow irrigation model to simulate the whole irrigation season (every irrigation event). The model called ‘SFIM’ was developed using the FORTRAN programming language. SFIM consists of four sub‐models to simulate surface flow, subsurface flow, crop yield, water productivity and irrigation evaluation indices. Three data sets of furrow irrigation for maize crop production in the Alborz Province of Iran (College of Agriculture and Natural Resources and Seed and Plant Improvement Institute farms) were used for evaluation of the proposed model. Average relative error of the model ranged from 11.5 to 17.2%, 7.5 to 11.3% and 6.8 to 9.0% in estimating infiltrated water volume, crop yield and water productivity, respectively. The model could also well simulate temporal soil moisture variations and water stress in the root zone. As a consequence, the SFIM model could successfully simulate all irrigation events during the maize‐growing season. © 2020 John Wiley & Sons, Ltd.

ACS Style

Mahboobe Ghobadi; Hamed Ebrahimian; Fariborz Abbasi; Sarem Norouzi. DEVELOPMENT AND APPLICATION OF A SEASONAL FURROW IRRIGATION MODEL (SFIM). Irrigation and Drainage 2020, 69, 376 -386.

AMA Style

Mahboobe Ghobadi, Hamed Ebrahimian, Fariborz Abbasi, Sarem Norouzi. DEVELOPMENT AND APPLICATION OF A SEASONAL FURROW IRRIGATION MODEL (SFIM). Irrigation and Drainage. 2020; 69 (3):376-386.

Chicago/Turabian Style

Mahboobe Ghobadi; Hamed Ebrahimian; Fariborz Abbasi; Sarem Norouzi. 2020. "DEVELOPMENT AND APPLICATION OF A SEASONAL FURROW IRRIGATION MODEL (SFIM)." Irrigation and Drainage 69, no. 3: 376-386.

Journal article
Published: 04 February 2020 in Sustainability
Reads 0
Downloads 0

A sub-irrigated planter (SIP) is a container irrigation technique in which water is supplied to the crop from the bottom, stored in a saturated media-filled reservoir beneath an unsaturated soil, and then delivered by capillary action to the root zone. The aim of this study was to optimize the water management and to assess the performance of this technique in terms of water use efficiency, soil moisture, and solute distribution in comparison with surface irrigation in a Mediterranean greenhouse. The experiment consisted of four SIP treatments, with a constant water level in the bottom reservoir in order to evaluate the effect of two different irrigation salinities (1.2 and 2.2 dS m−1) and two depths of substrate profiles (25 and 15 cm). The results showed that SIP is capable of significantly improving both water-use efficiency and plant productivity compared with surface irrigation. Also, a 24% average reduction in water consumption was observed while using SIP. Moreover, SIPs with a higher depth were recommended as the optimum treatments within SIPs. The type of irrigation method affected the salinity distribution in the substrate profile; the highest salinity levels were registered at the top layers in SIPs, whereas the maximum salinity levels for the surface treatments were observed at the bottom layers. SIPs provide a practical solution for the irrigation of plants in areas facing water quality and scarcity problems.

ACS Style

Marjan Vahabi Mashhor; Mahmoud Mashal; Seyyed Ebrahim Hashemi Garmdareh; Juan Reca; Maria Teresa Lao; Maryam Veravipour; Hamed Ebrahimian. Growth, Yield, and Water Productivity Responses of Pepper to Sub-Irrigated Planter Systems in a Greenhouse. Sustainability 2020, 12, 1100 .

AMA Style

Marjan Vahabi Mashhor, Mahmoud Mashal, Seyyed Ebrahim Hashemi Garmdareh, Juan Reca, Maria Teresa Lao, Maryam Veravipour, Hamed Ebrahimian. Growth, Yield, and Water Productivity Responses of Pepper to Sub-Irrigated Planter Systems in a Greenhouse. Sustainability. 2020; 12 (3):1100.

Chicago/Turabian Style

Marjan Vahabi Mashhor; Mahmoud Mashal; Seyyed Ebrahim Hashemi Garmdareh; Juan Reca; Maria Teresa Lao; Maryam Veravipour; Hamed Ebrahimian. 2020. "Growth, Yield, and Water Productivity Responses of Pepper to Sub-Irrigated Planter Systems in a Greenhouse." Sustainability 12, no. 3: 1100.

Journal article
Published: 17 January 2020 in Agricultural Water Management
Reads 0
Downloads 0

Efficiency is one of the most important assessment indicators in irrigation systems. Classical efficiency (CE) is not an exact index due to the lack of consideration of the return flows. Therefore, the neoclassical concepts of the efficiency are considered to take a part of losses of irrigation water as a return flow into account. Quality of the return flows may change in their path and it must be considered in evaluating the efficiency and productivity of irrigation water. This research was carried out to investigate this challenge. Sustainable efficiency (SE) was applied based on the water balance and quality of return flows. The methodology and detail for computing different parameters and their quality and beneficial coefficients in water balance equation were presented. Moghan irrigation and drainage network in the northwest of Iran was selected as the study area and CE and SE were calculated in meso and micro levels using the meteorological data, cropping pattern, irrigation water volume, natural and artificial drainages, infiltration and return flow quality. In addition, the irrigation water productivity was calculated by considering the volume of water based on the different concepts of efficiency. Quality coefficient related to return flow had different values in different months (0.85 in August and 1 in November and December). The results showed that about 87 % of inflow, 91 % of the rainfall, 89 % of the evapotranspiration, 13 % of the non-reusable water, and 91 % of the return flow were useful in the study area. The highest and the lowest efficiencies are occurred in September and November, respectively. The average of meso and micro Sefficiencies were 72 % and 47.5 %, respectively, and the CE was 37.9 %. The results showed that water productivity based on the SE is more than that of the CE. The water productivity at the meso level also showed a higher value than at the micro level.

ACS Style

Hasti Kazem Attar; Hamideh Noory; Hamed Ebrahimian; Abdol-Majid Liaghat. Efficiency and productivity of irrigation water based on water balance considering quality of return flows. Agricultural Water Management 2020, 231, 106025 .

AMA Style

Hasti Kazem Attar, Hamideh Noory, Hamed Ebrahimian, Abdol-Majid Liaghat. Efficiency and productivity of irrigation water based on water balance considering quality of return flows. Agricultural Water Management. 2020; 231 ():106025.

Chicago/Turabian Style

Hasti Kazem Attar; Hamideh Noory; Hamed Ebrahimian; Abdol-Majid Liaghat. 2020. "Efficiency and productivity of irrigation water based on water balance considering quality of return flows." Agricultural Water Management 231, no. : 106025.

Journal article
Published: 20 December 2019 in Agricultural Water Management
Reads 0
Downloads 0

Accurate estimation of infiltration coefficients in surface irrigation is essential for proper design, reducing water losses, preventing erosion and increasing water use efficiency. This study was conducted to evaluate various methods for estimating the coefficients of infiltration equations. We have selected 17 different methods with better performance based on previous studies, out of many methods which have been introduced for infiltration estimation. In order to compare the methods, 50 furrow data sets were selected which are different based on field and irrigation conditions. The results indicated that the performance of the infiltration estimation methods is variable because of various field conditions and required data requirements. Amongst the two-point methods, the Elliott and Walker method, with an average Relative Error (RE) of 16 %, the Vatankhah et al. method (RE = 16 %) between one-point methods and the Multilevel Calibration method (RE = 18 %) as compared with other computer-based models were concluded as the most accurate methods for estimating infiltration coefficients. The sensitivity analyses indicated that variations in relative error for estimating infiltration parameters are a function of soil texture, furrow length, inflow discharge and field slope.

ACS Style

Hamed Ebrahimian; Parisa Ghaffari; Arezoo N. Ghameshlou; Sayyed-Hassan Tabatabaei; Amin Alizadeh Dizaj. Extensive comparison of various infiltration estimation methods for furrow irrigation under different field conditions. Agricultural Water Management 2019, 230, 105960 .

AMA Style

Hamed Ebrahimian, Parisa Ghaffari, Arezoo N. Ghameshlou, Sayyed-Hassan Tabatabaei, Amin Alizadeh Dizaj. Extensive comparison of various infiltration estimation methods for furrow irrigation under different field conditions. Agricultural Water Management. 2019; 230 ():105960.

Chicago/Turabian Style

Hamed Ebrahimian; Parisa Ghaffari; Arezoo N. Ghameshlou; Sayyed-Hassan Tabatabaei; Amin Alizadeh Dizaj. 2019. "Extensive comparison of various infiltration estimation methods for furrow irrigation under different field conditions." Agricultural Water Management 230, no. : 105960.

Journal article
Published: 14 November 2019 in Agricultural Water Management
Reads 0
Downloads 0

Accurate design, suitable management and optimization of irrigation design parameters play an important role in increasing the performance of furrow irrigation. The main objective of this study was to optimize the performance of furrow irrigation using WinSRFR in the fields of Salman Farsi Agro Industry sugarcane, located in the southwest of Iran. For this purpose, field experiments were conducted under nine blocked-ended furrows with the length of 250 m, the top width of 1.83 m and slope of 0.04 % and in three inflow treatments (1.0, 1.5 and 2.0 L/s) with three repetitions. The WinSRFR software was employed to optimize the combination of irrigation parameters such as inflow rate, cut-off time and field geometry. Objective function (OF) including application efficiency, distribution uniformity and deep percolation was also employed to optimize the performance. The results showed that using 1.0 L/s inflow rate could increase OF by 35.99 % which was the best performance compared to 1.5 and 2.0 l/s. Changing furrow length from 250 m to 200 m showed that OF value increased by 39.8.% ; however, changing it to 300 m, OF decreased by 7.7 %. In addition, changing slope from 0.04 to 0.03 % decreased OF by 0.9.%, while changing it to 0.05 % OF was improved by 1 %. On the other hand, changing the inflow and cut-off time, field length and combinations of them led to the increased OF by 25, 8.39 and 31 %, respectively. Finally, to obtain the maximum performance in sugarcane fields, inflow rate of 3 L/s and cut-off time of 379.5 min were suggested.

ACS Style

Reza Mazarei; Amir Soltani Mohammadi; Abd Ali Naseri; Hamed Ebrahimian; Zahra Izadpanah. Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran. Agricultural Water Management 2019, 228, 105899 .

AMA Style

Reza Mazarei, Amir Soltani Mohammadi, Abd Ali Naseri, Hamed Ebrahimian, Zahra Izadpanah. Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran. Agricultural Water Management. 2019; 228 ():105899.

Chicago/Turabian Style

Reza Mazarei; Amir Soltani Mohammadi; Abd Ali Naseri; Hamed Ebrahimian; Zahra Izadpanah. 2019. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran." Agricultural Water Management 228, no. : 105899.

Articles
Published: 11 November 2019 in Communications in Soil Science and Plant Analysis
Reads 0
Downloads 0

AquaCrop applies an automatic calibration procedure through semi-quantitative approach to determine degree of soil fertility stress on crop production and water productivity. The objective of this study was to assess this capability of AquaCrop to simulate maize grain yield and biomass production, canopy cover and soil water content in the root zone under different nitrogen (N) applications in a semi-arid environment. The field experiments were conducted at the research farm located in Tehran, over the 2015 and 2016 growing seasons. Five N treatments were investigated including no nitrogen (N0), 50(N1), 100(N2), 150(N3) and 200 kg N. ha−1 (N4) for each year. Calibration was carried out using the data of N0 and N4 in 2015 and validation in the field was performed with remaining data. The results indicated that the range of relative root-mean-square error (RRMSE), coefficient of determination (R2) and mean bias error (MBE), for estimating final biomass production were obtained as 5.16%, 0.966, 0.28 ton. ha−1, and for final grain yield were 14.64%, 0.939, 0.56 ton. ha−1, respectively. The AquaCrop simulated canopy cover and biomass production development with RRMSE of 16.23–24.12% and 6.09–32.39%, respectively. The performance of the model for simulating soil water content was also good with RRMSE< 10.78%. Over all, these results confirmed that the AquaCrop model could be an applicable tool for managing maize production under different N stresses in a semi-arid environment.

ACS Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. Assessment of the AquaCrop Model for Simulating Maize Response to Different Nitrogen Stresses under Semi-arid Climate. Communications in Soil Science and Plant Analysis 2019, 50, 2899 -2912.

AMA Style

Arash Ranjbar, Ali Rahimikhoob, Hamed Ebrahimian, Maryam Varavipour. Assessment of the AquaCrop Model for Simulating Maize Response to Different Nitrogen Stresses under Semi-arid Climate. Communications in Soil Science and Plant Analysis. 2019; 50 (22):2899-2912.

Chicago/Turabian Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. 2019. "Assessment of the AquaCrop Model for Simulating Maize Response to Different Nitrogen Stresses under Semi-arid Climate." Communications in Soil Science and Plant Analysis 50, no. 22: 2899-2912.

Journal article
Published: 25 July 2019 in Irrigation and Drainage
Reads 0
Downloads 0
ACS Style

Ali Javadi; Behrouz Mostafazadeh‐Fard; Mohammad Shayannejad; Hamed Ebrahimian. Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management. Irrigation and Drainage 2019, 68, 740 -752.

AMA Style

Ali Javadi, Behrouz Mostafazadeh‐Fard, Mohammad Shayannejad, Hamed Ebrahimian. Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management. Irrigation and Drainage. 2019; 68 (4):740-752.

Chicago/Turabian Style

Ali Javadi; Behrouz Mostafazadeh‐Fard; Mohammad Shayannejad; Hamed Ebrahimian. 2019. "Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management." Irrigation and Drainage 68, no. 4: 740-752.

Soil physics
Published: 06 June 2019 in Soil Science and Plant Nutrition
Reads 0
Downloads 0

Saline-sodic soils commonly display a poor soil structure which is associated with the reduction in soil quality. Therefore, optimal management of soil and water salinity in saline-sodic soils should be regarded as an important factor in sustainable agriculture. The main purpose of the current study was to address the combined effect of irrigation and leaching managements on soil physical and chemical properties and drain water quality. Treatments including three irrigation water qualities, ECi = 0.6, 3 and 6 dS/m, two irrigation managements and three irrigation durations (8, 45 and 100 days). Two irrigation managements included intermittent irrigation at the depletion of 30% field capacity (M1) and daily irrigation with leaching fraction of 0.15 (M2) both followed by heavy leaching. Heavy leaching tests were applied on soil columns after 16, 56 and 114 days. The results showed that irrigation management and duration of the irrigation were found to be much more effective on infiltration, while irrigation water quality had a minor effect. The results revealed that final infiltration capacity under the daily irrigation was higher than the intermittent irrigation. Daily irrigation could control the salt until the medium water quality (ECi = 3 dS/m) and its soil chemical properties were similar to the intermittent irrigation. Daily irrigation had the most effect on EC control of soil and consequently on EC reduction of cumulative drain water compared to the intermittent irrigation. Reduced salinity by heavy leaching under the daily irrigation was more than intermittent irrigation. Under the intermittent irrigation, heavy leaching has increased the soil sodium adsorption ratio compared to the daily irrigation. Overall, under the daily irrigation, the soil physical and chemical properties were more suitable than the intermittent irrigation. According to the results, the intermittent irrigation is recommended in the areas where there are water resource limitations.

ACS Style

Ali Javadi; Behrouz Mostafazadeh-Fard; Mohammad Shayannejad; Mohammad Reza Mosaddeghi; Hamed Ebrahimian. Soil physical and chemical properties and drain water quality as affected by irrigation and leaching managements. Soil Science and Plant Nutrition 2019, 65, 321 -331.

AMA Style

Ali Javadi, Behrouz Mostafazadeh-Fard, Mohammad Shayannejad, Mohammad Reza Mosaddeghi, Hamed Ebrahimian. Soil physical and chemical properties and drain water quality as affected by irrigation and leaching managements. Soil Science and Plant Nutrition. 2019; 65 (4):321-331.

Chicago/Turabian Style

Ali Javadi; Behrouz Mostafazadeh-Fard; Mohammad Shayannejad; Mohammad Reza Mosaddeghi; Hamed Ebrahimian. 2019. "Soil physical and chemical properties and drain water quality as affected by irrigation and leaching managements." Soil Science and Plant Nutrition 65, no. 4: 321-331.

Original paper
Published: 10 April 2019 in Irrigation Science
Reads 0
Downloads 0

Simulation of nitrogen (N) uptake during crop growing season is very practical in improving fertilizer management and environmental protection. It is very valuable to have a tool which can perform this simulation in a reliable way. HYDRUS-2D model has widely been used to predict the water flow and fate of nutrients in soil. However, no specific research has been conducted so far to evaluate this model in simulating uptake of different N forms (i.e., nitrate and ammonium) during crop growing season. The objectives of this study were to simulate N uptake and transport under furrows and ridges during the maize growth period using HYDRUS-2D model under different N stresses. Thus, maize was planted with different application rates of urea including 0, 150 and 250 kg N ha−1 over 2015 and 2016 growing seasons. Data from the first and second seasons were applied to calibrate and validate model parameters, respectively. The N uptake, soil water content and nitrate and ammonium concentrations in different depths under furrows and ridges were measured during both seasons. Results indicated appropriate agreement between predicted and measured water content, nitrate and ammonium distribution in soil during the validation stage. The ranges of the normalized root mean square error (NRMSE) for nitrate and ammonium concentrations in soil for all treatments were about 22.28 to 23.36% and 17.06 to 24.79% that implies a fair accuracy of HYDRUS-2D model. In spite of appropriate accuracy in estimating total N uptake at harvest time, the model was not capable to simulate accumulated N uptake with high accuracy (13.82 ≤ NRMSE ≤ 29.53) during the growth periods. Consequently, ignoring some processes such as the active uptake to simplify the simulation caused the model to underestimate N uptake rate during the vegetative stage when the maize reaches its maximum growth rate. In addition, the N uptake was simulated more accurately in the absence of N stress.

ACS Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D. Irrigation Science 2019, 37, 495 -509.

AMA Style

Arash Ranjbar, Ali Rahimikhoob, Hamed Ebrahimian, Maryam Varavipour. Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D. Irrigation Science. 2019; 37 (4):495-509.

Chicago/Turabian Style

Arash Ranjbar; Ali Rahimikhoob; Hamed Ebrahimian; Maryam Varavipour. 2019. "Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D." Irrigation Science 37, no. 4: 495-509.