7
ali mokhtaran; mehrzad tavoosi; Peyman Varjavand; Saloome Sepehri Sadeghian
Volume 34, Issue 3 , September 2020, , Pages 337-354
Abstract
< p > < p >In Khuzestan Province, drainage water production from various activities, especially agriculture, is a serious problem. In order to optimize the use of drainage water, cultivation of salinity resistant crops can be considered as a suitable practice. Therefore, in 2019, a ...
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< p > < p >In Khuzestan Province, drainage water production from various activities, especially agriculture, is a serious problem. In order to optimize the use of drainage water, cultivation of salinity resistant crops can be considered as a suitable practice. Therefore, in 2019, a study was conducted to investigate the possibility of recycling drainage water of sugarcane fields for winter cultivation of quinoa in the Research Farm of Mirza Kuchak Khan Sugarcane Agro-Industry Company in southern Khuzestan. This study was performed as split plots with a complete randomized block design with two factors and three replications. The main factor was the management of irrigation water including the use of Karun river water, drainage water of sugarcane fields, and intermittent-periodic irrigation (alternating application of Karun water and drainage water). The sub-plots were allocated to four genotypes of quinoa including "Giza1, Titicaca, Rosada, and Q26". Interaction of irrigation water type with genotype showed that the highest biomass in terms of dry forage (3645.6 kg/ha) belonged to Giza1 genotype using irrigation with Karun water, which statistically had no difference with the Rozada biomass (2620 kg /ha) using irrigation with drainage water. Monitoring of soil "ECe" and "ESP" during the growing season showed that for the two treatments of irrigation with the water of the Karun River and intermittent-periodic irrigation, the farm soil up to 1 meter depth was non saline and non-sodic. This is while before cultivation of quinova, the soil layer of 0- 25 cm was saline (5.54 dS/m) and the deeper parts were non-saline. In irrigation with drainage water, the 0-25 cm layer soil remained saline due to the effect of evaporation. However, in layers deeper than75 cm, due to the accumulation of salts compared to pre-planting (ECe=2 dS/m), salinity reached ECe=4dS/m and ESP=7%. These results indicate the need for leaching at the end of the growing season and the importance of drainage for salt outflow from agricultural lands to maintain soil salt balance in areas where drainage water recycling is practiced.
Hossein Mirzaei-Takhtgahi; Hooshang Ghamarnia; Milad farmanifard
Abstract
In this research, the effect of vemicompost on yield and yield components of tomato and okra was investigated under irrigation with contaminated water. The experiment included two treatments using vermicompost and control with three replications; and it was conducted at the Campus of Agriculture and ...
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In this research, the effect of vemicompost on yield and yield components of tomato and okra was investigated under irrigation with contaminated water. The experiment included two treatments using vermicompost and control with three replications; and it was conducted at the Campus of Agriculture and Natural Resources of Razi University. Vermicompost was applied at 25 ton per hectare in two stages: 10 t/ha at the crop cultivation period, and 15 t/ha one month after cultivating. The effect of vermicompost growth indexes including plant height, stem diameter, fruit diameter and weight, chlorophyll index, stem and leaf dry matter percentage and yield were investigated. The comparison of the average yield of tomato and okra showed that only fruit weight of tomatoes was statistically significantly different, and there was no statistically significant difference between the two treatments in other characteristics. In tomatoes treated with vermicompost, plant height, stem diameter, chlorophyll index, stem and leaves dry matter percentage were increased by 2.3%, 0.3%, 7.3%, 5.6% and 9.1 percent and fruit diameter, fruit weight and yield were decreased 25.5%, 42.6% and 73.2 percent, respectively compared with the control. Also, in okra under application of vermicompost, plant height, stem diameter, fruit diameter, fruit weight, chlorophyll index and yield were increased by 10.3%, 1.2%, 10.4%, 13.3%, 3% and 35.7%, while stem and leaves dry matter percentages were increased by 5.5% and 11.7%, respectively, compared with the control. Considering the significant reduction in tomato fruit weight and reduction of its fruit diameter and yield, as well as reduction of stem and leaves dry matter in okra, and in light of the high risk of using contaminated water and possible contamination of the fruit and reduction of its quality and health, the use of vermicompost for these crops under irrigation with contaminated water is not recommended. In general, the use of contaminated water is unacceptable for human and animal foods.
maryam yousefi; Mohammad Ebrahim Banihabib; jaber soltani; abbas rouzbahani
Abstract
To address farmers’ as well as water resources and environment managers’ opinions, it is necessary to develop the optimal cropping pattern models for maximizing farmers’ benefits, reducing nitrogen leaching, and improving the rate of aquifer recharge by applying quantitative-qualitative ...
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To address farmers’ as well as water resources and environment managers’ opinions, it is necessary to develop the optimal cropping pattern models for maximizing farmers’ benefits, reducing nitrogen leaching, and improving the rate of aquifer recharge by applying quantitative-qualitative conjunctive use of unconventional surface water (reclaimed wastewater) and groundwater. In this research, the developed models (nonlinear programming (NLP) and particle swarm optimization (PSO)) were run in Varamin Irrigation Network for water year 2012-2013. The results of solving 3-objective nonlinear programming (NLP) model showed that by improving the net benefit of cropping pattern optimization, water productivity and aquifer recharge by about 6%, 22% and 29% led to reduction of conjunctive withdrawals of wastewater and groundwater and fertilizer consumption by about 13% and 85%. Also, the results of solving 3-objective model by Particle Swarm Optimization (PSO) algorithm showed that by improving the net benefit of cropping pattern optimization, water productivity and aquifer recharge by about 7%, 49% and 30%, conjunctive withdrawals of wastewater and groundwater summation and fertilizer consumption decreased by about 35%, 88%, respectively. Comparison of the results of the values of objective functions in different scenarios by NLP and PSO methods showed a difference of about 0.002% to 0.01%. So, heuristic algorithm (PSO) has very little difference with NLP and has great ability in providing optimal results. The results of this research could be applied to the optimum use of water resources, increasing farmers’ benefits and decreasing nitrogen leaching in other irrigation network projects. However, it is to be emphasized that use of wastewater for irrigation of food crops for human and domestic animals is not recommended and full compliance with standards and regulations in applying reclaimed waste water in agriculture, is necessary and binding.
m y; j s; Mohammad Ebrahim Banihabib; a r; a r; e s
Abstract
Due to extensive agricultural activities on the plains and the use of chemical fertilizers containing nitrogen, significant amount of this element enter the aquifer. On the other hand, effluent of wastewater treatment plants is used in irrigation and drainage networks as an alternative or supplementary ...
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Due to extensive agricultural activities on the plains and the use of chemical fertilizers containing nitrogen, significant amount of this element enter the aquifer. On the other hand, effluent of wastewater treatment plants is used in irrigation and drainage networks as an alternative or supplementary source of surface water. Therefore, adoption of strategies for reducing and controlling the amount of nitrogen that enters the soil and aquifer is an important issue. The aim of this research was to develop a cropping pattern optimization model by quantitative-qualitative conjunctive use of unconventional surface water (wastewater) and groundwater. The three objectives of the model were maximizing profits from cropping pattern, reducing nitrogen leaching, and improving the rate of aquifer recharge. In order to integrate management of wastewater and irrigation water resources, the nonlinear three-objective optimization model was run for 7 scenarios (one-objective, two-objectives, and three-objectives) in water year 2012-2013, for Varamin irrigation network. The input data required for the model were collected in two ways: regional testing and obtaining information from various institutions.Solving one-objective model by first objective (first scenario: improving the network’s profit) showed the 49 percent improvement in the network’s net profit. The second objective (second scenario: reducing of fertilizer consumption) showed 95% reduction of fertilizer consumption, and the third objective (third scenario: improving the aquifer recharge) showed 120% improvement in the aquifer recharge, in comparison to the current situation. Solving the three-objective model (seventh scenario: combined objectives of improving network’s net profit, reducing fertilizer consumption, and improving the aquifer recharge) showed a reduction of 23% in cultivated area, 71% in nitrogen fertilizer consumption, and 13% in conjunctive withdrawals of wastewater and groundwater. Also, these reductions increase net benefit by 6%, aquifer recharge by 29%, and water productivity by 22%. Therefore, the seventh scenario was chosen as the best scenario. The results of this research could be adopted for optimum use of water resources, increasing farmers’ benefit, and decreasing nitrogen leaching in irrigation network projects. However, it is to be noted that, generally, use of wastewater for irrigation of food crops is not recommended.
b k; ch a; z f; h g
Abstract
When good quality water is scarce, application of unconventional water resources is considered in agriculture. One of these sources is treated urban wastewater (TUW). In this research, in which plants were grown in medium-size pots, effect of irrigation with wastewater was evaluated on accumulation and ...
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When good quality water is scarce, application of unconventional water resources is considered in agriculture. One of these sources is treated urban wastewater (TUW). In this research, in which plants were grown in medium-size pots, effect of irrigation with wastewater was evaluated on accumulation and distribution in soil profile of heavy metals (iron, manganese, zinc, copper, arsenic, cadmium, lead, and nickel) under greenhouse conditions of the University of Kurdistan. The factorial experiments were conducted according to complete randomized design with three replications. Also, the effect off three irrigation treatments consisting of TUW, alternating TUW- ordinary water, and ordinary water on the accumulation of heavy metals in the soil cultivated with corn and tomato plant were investigated. Soil samples were taken from four different depths and three horizontal distances from the plant. The results showed that TUW had significantly greater amounts of heavy metals in comparison with ordinary water. Also, the maximum and minimum amounts of heavy metal were observed in TUW and ordinary water, respectively. From the findings, it can be concluded that concentration of heavy metals decreased with increasing depth and horizontal distance from the plant location. Manganese (7.3 mg/kg) had the highest concentration in the soil. Also, Arsenic (5.41 mg/kg), iron (4.21 mg/kg), zinc (3.93 mg/kg) and copper (3.3 mg/kg) ranked from the second to fifth, respectively. Type of plants had a significant effect on the accumulation of manganese, zinc, and arsenic. According to the results of this study, there is a threat to human health of heavy metals contamination in plants such as corn and tomatoes. Therefore, it can recommended that irrigation with treated wastewater is to be limited to non-food crops.
a f; b gh; i m; b b
Abstract
Emitter clogging is the main problem in the use of wastewaters in drip irrigation systems which reduces the emitter discharge, emission uniformity, irrigation efficiency and increases maintenance costs. Aquaculture effluents contain appropriate nutrients (nitrogen and phosphorus) that can be used by ...
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Emitter clogging is the main problem in the use of wastewaters in drip irrigation systems which reduces the emitter discharge, emission uniformity, irrigation efficiency and increases maintenance costs. Aquaculture effluents contain appropriate nutrients (nitrogen and phosphorus) that can be used by plants. Hence, the aim of this study was to evaluate the effects of aquaculture effluent on hydraulic performance of Netafim and Microflopper emitters with different discharges. For this purpose, two drip irrigation systems were established to use inflow water and wastewater of a fish farm in Kurdistan province. Also, adding a management treatment, the effect of drip irrigation laterals discharge at the end of each irrigation event was studied when using this type of waste. The relative discharge, emission uniformity, Christiansen Uniformity Coefficient, statistical uniformity and discharge reduction rate were used to compare the hydraulic performance of the emitters. The results showed that in both fresh water and wastewater cases, the hydraulic performance of Netafim 4 l/hr and Netafim 8 l/hr emitters were better than the Microflopper 4 l/hr, Microflopper 8 l/hr and Netafim 12 l/hr emitters, respectively. Also, Netafim 4 l/hr emitters had the least dependence and sensitivity to water quality and irrigation management compared to the other studied emitters. In addition, the use of management treatment, for lateral pipe flushout, has a great impact on improving the performance of Netafim 12 l/hr and Microflopper 8 l/hr emitters.
Mohsen Dehghani; Majid Jafaraghaee; Reza Mohammadikia
Abstract
Due to the deficiency of available water resources in our country, use of unconventional water seems to be necessary. In this regard, in order to study the effect of irrigation water salinity on yield and yield components of three varieties of cotton, this experiment was carried out in a randomized complete ...
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Due to the deficiency of available water resources in our country, use of unconventional water seems to be necessary. In this regard, in order to study the effect of irrigation water salinity on yield and yield components of three varieties of cotton, this experiment was carried out in a randomized complete blocks design and three replications in Rodasht Agricultural Research Station during 2 years. The main variable studied was Electrical Conductivity of irrigation water at four levels i.e. 4, 7, 10, and 13 dSm-1, and the sub-main factor was cotton varieties that included B557, Tabladila, and Deltapain 16. Statistical analysis of the results showed that the effects of salinity (EC) as well as some minerals, especially sodium ions, in irrigation water were significant (at the 1% level) on the boll yield, water consumption, water use efficiency, weight of 10 bolls, the number of bolls in each plant, and the number of green plants. Also, yield, irrigation water use efficiency, boll weight, number of bolls per plant, and the number of germinated plants of the studied varieties differed significantly.
f dehghani; r r; m.j malakouti; saeed saadat
Abstract
Calcium and magnesium ions are two plant nutrients and are omnipresent in all natural systems. Calcium to magnesium ratio (Ca:Mg) is an important factor in evaluation of water quality for irrigation. A Ca: Mg ratio of less than unity, in particular in saline condition, adversely affects soil physico-chemical ...
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Calcium and magnesium ions are two plant nutrients and are omnipresent in all natural systems. Calcium to magnesium ratio (Ca:Mg) is an important factor in evaluation of water quality for irrigation. A Ca: Mg ratio of less than unity, in particular in saline condition, adversely affects soil physico-chemical characteristics, and could decrease plant yield through nutritional imbalance. Frequent drought and groundwater over-draft have lowered groundwater level and its quality severely, including increase in salinity and, in many cases, relative increase in magnesium ion concentration. In order to assess distribution and changes in Ca:Mg ratio, laboratory analysis data of more than 6200 irrigation water samples were collected from 11 provinces. Data analysis revealed that Ca:Mg ratio was less than unity in about 55% of the samples. It was also found that increase in salinity had a significant correlation with Ca and Mg ions concentrations, but had no relation with their ratio. Correlation analysis indicated that maximum correlation was between Na ion concentration and salinity (R2= 0.86), and 60% of Ca and Mg variation could be explained with variation in salinity. However, no significant relation was found between salinity and Ca:Mg ratio. Using such irrigation water gradually increases exchangeable Mg ion and decreases soil quality (degradation of soil structure and lowering infiltration rate), and causes plant nutritional disorder. Consequently, more detailed assessment of these waters and their effects on soil and plant is enormously important from both economic and environmental points of view.