scholarly journals Optimization of Irrigation Scheduling for Maize in an Arid Oasis Based on Simulation–Optimization Model

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 935 ◽  
Author(s):  
Jiang Li ◽  
Xiyun Jiao ◽  
Hongzhe Jiang ◽  
Jian Song ◽  
Lina Chen
Keyword(s):  
Simulation Model ◽  
Optimization Model ◽  
Simulation Optimization ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Water Saving ◽  
Scheduling Optimization ◽  
Agricultural Water Resources ◽  
Crop Water Consumption

In arid regions, irrigation scheduling optimization is efficient in coping with the shortage of agricultural water resources. This paper developed a simulation–optimization model for irrigation scheduling optimization for the main crop in an arid oasis, aiming to maximize crop yield and minimize crop water consumption. The model integrated the soil water balance simulation model and the optimization model for crop irrigation scheduling. The simulation model was firstly calibrated and validated based on field experiment data for maize in 2012 and 2013, respectively. Then, considering the distribution of soil types and irrigation districts in the study area, the model was used to solve the optimal irrigation schedules for the scenarios of status quo and typical climate years. The results indicated that the model is applicable for reflecting the complexities of simulation–optimization for maize irrigation scheduling. The optimization results showed that the irrigation water-saving potential of the study area was between 97 mm and 240 mm, and the average annual optimal yield of maize was over 7.3 t/ha. The simulation–optimization model of irrigation schedule established in this paper can provide a technical means for the formulation of irrigation schedules to ensure yield optimization and water productivity or water saving.

scholarly journals A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water

2019 ◽  
Vol 11 (7) ◽  
pp. 2124 ◽  
Author(s):  
Baoying Shan ◽  
Ping Guo ◽  
Shanshan Guo ◽  
Zhong Li
Keyword(s):  
Fruit Quality ◽  
Optimization Model ◽  
Evaluation Method ◽  
Irrigation Schedule ◽  
Market Price ◽  
Quality Parameters ◽  
Irrigation Scheduling ◽  
Additive Models ◽  
Water Yield ◽  
Scheduling Optimization

Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode decomposition (EEMD-ANN) is used to decompose the original price time series into several subseries and then forecast each of them; (2) factor analysis and a technique for order of preference by similarity to ideal solution (FA-TOPSIS), as an integrated evaluation method, is used to comprehensively evaluate the fruit quality parameters; and (3) regression analysis is used to simulate water-yield and water-fruit quality relationships. The model is applied to a case study of greenhouse tomato irrigation schedule optimization. The results indicate that EEMD-ANN can improve the accuracy of price forecasting. Jensen and additive models are selected to simulate the relationships of tomato yield and quality with water deficit at various stages. Besides, the model can balance the contradiction between higher yields and better quality, and optimal irrigation scheduling is obtained under different market conditions. Comparison between the developed model and a traditional modeling approach indicates that the former can improve net benefits, fruit quality, and water use efficiency. This model considers the economic mechanism of market price changing with fruit quality. Forecasting and optimization results can provide reliable and useful advices for local farmers on planting and irrigation.

scholarly journals Evapotranspiration Partition and Dual Crop Coefficients in Apple Orchard with Dwarf Stocks and Dense Planting in Arid Region, Aksu Oasis, Southern Xinjiang

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1167
Author(s):  
Hui Cao ◽  
Hongbo Wang ◽  
Yong Li ◽  
Abdoul Kader Mounkaila Hamani ◽  
Nan Zhang ◽  
...  
Keyword(s):  
Water Management ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Apple Orchard ◽  
Irrigation Amount ◽  
Late Season ◽  
Apple Production ◽  
Crop Coefficients ◽  
Southern Xinjiang

Crop coefficients are critical to developing irrigation scheduling and improving agricultural water management in farmland ecosystems. Interest in dwarf cultivation with high density (DCHD) for apple production increases in Aksu oasis, southern Xinjiang. The lack of micro-irrigation scheduling limits apple yield and water productivity of the DCHD-cultivated orchard. A two-year experiment with the DCHD-cultivated apple (Malus × domestica ‘Royal Gala’) orchard was conducted to determine crop coefficients and evapotranspiration (ETa) with the SIMDualKc model, and to investigate apple yield and water productivity (WP) in response to different irrigation scheduling. The five levels of irrigation rate were designed as W1 of 13.5 mm, W2 of 18.0 mm, W3 of 22.5 mm, W4 of 27.0 mm, and W5 of 31.5 mm. The mean value of basal crop coefficient (Kcb) at the initial-, mid-, and late-season was 1.00, 1.30, and 0.89, respectively. The Kc-local (ETa/ET0) range for apple orchard with DCHD was 1.11–1.20, 1.33–1.43, and 1.09–1.22 at the initial, middle, and late season, respectively. ETa of apple orchard in this study ranged between 415.55–989.71 mm, and soil evaporation accounted for 13.85–29.97% of ETa. Relationships between total irrigation amount and apple yield and WP were developed, and W3 was suggested as an optimum irrigation schedule with an average apple yield of 30,540.8 kg/ha and WP of 4.45 kg/m3 in 2019–2020. The results have implications in developing irrigation schedules and improving water management for apple production in arid regions.

scholarly journals A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System

2018 ◽  
Vol 11 (1) ◽  
pp. 24 ◽  
Author(s):  
Shanshan Guo ◽  
Fan Zhang ◽  
Chenglong Zhang ◽  
Chunjiang An ◽  
Sufen Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Water Productivity ◽  
Critical Factor ◽  
Water Shortage ◽  
Irrigation Scheduling ◽  
Agricultural Water ◽  
Canal System ◽  
Multi Objective ◽  
Wide Range

Abstract: Due to population growth, environmental pollution and climate change, the lack of water resources has become a critical factor which threatens sustainable agricultural development. Reasonable irrigation scheduling strategies can reduce the waste of water and enhance agricultural water-use efficiency. In the present study, the decomposition-coordination theory was adopted to analyze the hierarchical canal system. A novel nonlinear multi-level multi-objective optimization model for complex canal systems was established, taking account of the multiple demands from decision makers and realistic factors of canal operation. An interactive method of the technique for order preference using similarity algorithm and genetic algorithm was proposed to solve the developed model. The developed model was successfully applied for the operational strategy making of a canal system located in the arid area of northwest China. The results indicated that the optimization model could help shorten the operational duration by two days, achieve about 26% reduction of irrigation water consumption, and improve the efficiency of water delivery from 0.566 to 0.687. That will be very favorable for the promotion of the agricultural water productivity, the relief of water shortage crisis and the sustainable development of agriculture. The outcomes can provide a wide range of support for decision making and make irrigation decision-making more scientific and systematic.

scholarly journals TRANSITION FROM SURFACE TO DRIP IRRIGATION IN MOROCCO: ANALYSIS THROUGH THE MULTI-LEVEL PERSPECTIVE

AGROFOR ◽  
2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Oumaima ASSOULI ◽  
Hamid EL BILALI ◽  
Aziz ABOUABDILLAH ◽  
Rachid HARBOUZE ◽  
Nabil El JAOUHARI ◽  
...  
Keyword(s):  
Water Use ◽  
Land Tenure ◽  
Irrigation Water ◽  
Drip Irrigation ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Water Saving ◽  
Surface Irrigation ◽  
Irrigation Water Use ◽  
Multi Level

Agriculture uses more than 80% of water resources in Morocco. The sector isinefficient in terms of water use due to the dominance of surface irrigation. Toaddress this issue, there have been efforts in Moroccan strategies to convert surfaceirrigation to localized one. This paper analyses the dynamics of conversion fromsurface irrigation to drip irrigation in Fez-Meknes region (north-eastern Morocco)through the lens of the Multi-Level Perspective (MLP) on socio-technicaltransitions. MLP framework suggests that transitions are the results of dialecticinteractions among a niche (cf. novelty of drip irrigation), a regime (cf. traditionalsystem of surface irrigation) and the socio-technical landscape (e.g. policies). MLPwas complemented with a multi-capital approach to better assess transitionimpacts. Results show that the area equipped with drip irrigation in Fez-Meknesregion increased from 2174 ha in 2008 to 39290 ha in 2016. Different programshave been implemented in the framework of the Green Morocco Plan to fosterirrigation transition e.g. the National Irrigation Water Saving Program (PNEEI),launched in 2007, aims to convert 550,000 ha to localized irrigation (e.g. dripirrigation) in 15 years. Thanks to these programs, financial and technical supporthas been provided to farmers to promote the adoption of water-saving irrigationtechniques and practices. Farm-level results show that transition to localizedirrigation decreases irrigation water use, increases yields and profitability (cf. grossmargin per ha), and improves water productivity. Despite an enabling policylandscape and positive transition impacts, surface irrigation is still maintained inthe region and farmers are reluctant to change for many reasons (e.g. age andeducation level, unclear land tenure, financial and administrative difficulties).Efforts are still needed to train farmers on irrigation scheduling and on the use ofsmart irrigation techniques to save water. Further research is required to betterunderstand current bottlenecks in the irrigation transition process and designappropriate and context-specific transition governance strategies.

scholarly journals Field and Modeling Study on Manual and Automatic Irrigation Scheduling under Deficit Irrigation of Greenhouse Cucumber

2020 ◽  
Vol 12 (23) ◽  
pp. 9819
Author(s):  
Abdelraouf R. E. ◽  
H. G. Ghanem ◽  
Najat A. Bukhari ◽  
Mohamed El-Zaidy
Keyword(s):  
Automatic Control ◽  
Irrigation Water ◽  
Deficit Irrigation ◽  
Water Productivity ◽  
N Uptake ◽  
Irrigation Schedule ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Research Centre ◽  
Arid Zones

The primary goal of all those working in the field of sustainable water management, particularly in the arid and semi-arid zones, is to increase irrigation efficiency, reduce irrigation water losses, and improve water productivity for all crops. This study assessed the automatic irrigation scheduling and irrigation management on the growth, yield, and water productivity of cucumber under greenhouse conditions. A field experiment was conducted using cucumber grown in aplastic greenhouse during the winter of 2017/18 and 2018/19 at the research farm station of the National Research Centre (NRC), El-Noubaria Region, Behaira Governorate, Egypt. In a split-plot experiment, two different methods to control irrigation scheduling (manual control (MC) and automatic control (AC)) were used in the main plots and three deficit irrigation treatments (100% of full irrigation (FI), 80% of FI, and 60% of FI). Through the obtained results, it was found that the use of the automatic control of the irrigation schedule led to an improvement in the productivity and quality characteristics of the cucumber crop. Automatic irrigation control created healthy conditions for the plant roots located under the least water stress. This led to an increase in nitrogen uptake at the ages of 3, 5, 7, and 9 weeks after planting in addition to improving the total leaf area and the chlorophyll content of leaves, which consequently had a greater effect on increasing yield and water productivity of cucumber. Although the highest values of cucumber productivity were obtained with irrigation at 100% of FI, there were no significant differences between 100% FI and 80% of FI, therefore it is preferable to irrigate at 80% of FI, and this means saving 20% of irrigation water that can be used to irrigate other areas. The SALTMED model simulating all of the following evaluation criteria performed well for soil moisture content and N-uptake as well as the leaves area, the yield, and water productivity of cucumber for all treatments for the two growing seasons 2017/18 and 2018/19, with the overall R2 of 0.882, 0.903, 0.975, 0.907, and 0.933, respectively.

scholarly journals Simulation-Optimization for Conjunctive Water Resources Management and Optimal Crop Planning in Kushabhadra-Bhargavi River Delta of Eastern India

2020 ◽  
Vol 17 (10) ◽  
pp. 3521
Author(s):  
Madan K. Jha ◽  
Richard C. Peralta ◽  
Sasmita Sahoo
Keyword(s):  
Water Resources ◽  
Simulation Model ◽  
Seawater Intrusion ◽  
Optimization Model ◽  
Crop Yields ◽  
Simulation Optimization ◽  
Optimization Models ◽  
Water Model ◽  
Cropping Pattern ◽  
Groundwater Exploitation

Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools. This study combines a groundwater-flow simulation model and two optimization models to develop optimal reconnaissance-level water management strategies. For a given set of hydrologic and management constraints, both of the optimization models are applied to part of the Mahanadi River basin groundwater system, which is an important source of water supply in Odisha State, India. The first optimization model employs a calibrated groundwater simulation model (MODFLOW-2005, the U.S. Geological Survey modular ground-water model) within the Simulation-Optimization MOdeling System (SOMOS) module number 1 (SOMO1) to estimate maximum permissible groundwater extraction, subject to suitable constraints that protect the aquifer from seawater intrusion. The second optimization model uses linear programming optimization to: (a) optimize conjunctive allocation of surface water and groundwater and (b) to determine a cropping pattern that maximizes net annual returns from crop yields, without causing seawater intrusion. Together, the optimization models consider the weather seasons, and the suitability and variability of existing cultivable land, crops, and the hydrogeologic system better than the models that do not employ the distributed maximum groundwater pumping rates that will not induce seawater intrusion. The optimization outcomes suggest that minimizing agricultural rice cultivation (especially during the non-monsoon season) and increasing crop diversification would improve farmers’ livelihoods and aid sustainable use of water resources.

scholarly journals Calibration, validation and application of AquaCrop model in irrigation scheduling for rice under northwest India

2015 ◽  
Vol 7 (2) ◽  
pp. 691-699 ◽  
Author(s):  
S. S. Sandhu ◽  
S. S. Mahal ◽  
Prabhjyot Kaur
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Research Work ◽  
Simulation Models ◽  
Irrigation Scheduling ◽  
Loamy Sand Soil ◽  
Aquacrop Model ◽  
Dry Biomass

A lot of research work regarding irrigation scheduling in rice has been carried out at global level with the objective of increasing irrigation water productivity (IWP) and sustaining grain yield. Under natural conditions rain disturb the planned irrigation treatments. One way to overcome this problem is to use rain shelters which is a costly affair, crop growth simulation models offer a good scope to conduct such studies by excluding the effect of rain. Very limited studies are available where FAO’s AquaCrop model has been used to develop irrigation schedule for crops. Therefore, a study was conducted using FAO AquaCrop model to develop irrigation schedule for rice having higher IWP. The model was calibrated and validated using the experimental data of field experiments conducting during 2009 and 2010, respectively. The model underestimated the above ground dry biomass at 30 days after transplanting (DAT) in the range of 21.60 to 24.85 %. At the time of harvest the model overestimated the above ground dry biomass within the range 11.58 to 14.34 %. At harvest the values of normalized root mean square error (15.54%) suggested a good fit for the above ground dry biomass and an excellent agreement (3.34%) between observed and model predicted grain yield. The model suggested to irrigate rice transplanted in puddled loamy sand soil on every 5th day to get higher IWP coupled with statistically similar grain yield as obtained with daily irrigation schedule.

Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty

2018 ◽  
Vol 208 ◽  
pp. 245-260 ◽  
Author(s):  
Jiang Li ◽  
Jian Song ◽  
Mo Li ◽  
Songhao Shang ◽  
Xiaomin Mao ◽  
...  
Keyword(s):  
Spring Wheat ◽  
Optimization Model ◽  
Simulation Optimization ◽  
Irrigation Scheduling

scholarly journals Validation of DRAS model for irrigation of wheat

1970 ◽  
Vol 35 (3) ◽  
pp. 403-411
Author(s):  
PK Sarkar ◽  
MS Islam ◽  
SK Biswas ◽  
MA Hossain ◽  
S Hassan
Keyword(s):  
Field Experiments ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Wheat Variety ◽  
Model Performance ◽  
Irrigation Scheduling ◽  
Ecological Zone ◽  
Drought Assessment ◽  
Ecological Zones ◽  
Irrigated Wheat

The study was conducted to validate the Drought Assessment (DRAS) model developed by the Center for Environmental and Geographic Information Services (CEGIS) for irrigation scheduling of wheat (variety: Shatabdi). The performance of the model was compared with the results obtained from the BARI recommended irrigation schedule. The field experiments were carried out during the years 2005-2006 through 2007-2008 in two agro-ecological zones. The locations were RARS, Jamalpur under agro-ecological zone 9 and farmers’ field of FSR site, OFRD, Barind, Rajshahi under agro-ecological zone 26. Six different irrigation treatments including one rainfed with three replications were considered for the study. In respect of yield, BARI recommended irrigation practice performed better in Jamalpur (3.642 t/ha on average). Application of net irrigation requirement (NIR) as per DRAS model based on reported value yielded highest (3.598 t/ha on average) in the Barind area, Rajshahi. However, the yields from all irrigated treatments were very close to each other. From three years’ study, the model performance was found quite satisfactory for irrigated wheat, especially in drought prone areas like Barind, Rajshahi. In respect of water productivity, the model performed almost similar to the BARI recommended practice in Jamalpur. It performed better in Barind region where irrigation water was used by the crop more efficiently. Keywords: DRAS model; irrigation; wheat. DOI: 10.3329/bjar.v35i3.6447Bangladesh J. Agril. Res. 35(3) : 403-411

scholarly journals WATER STRESS EFFECT ON WHEAT AT DIFFERENT MECHANICAL SEEDING SYSTEMS

2019 ◽  
Vol 52 (3) ◽  
pp. 207-219
Author(s):  
Rokon Zaman
Keyword(s):  
Water Use ◽  
Conservation Tillage ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Treatment ◽  
Grain Filling ◽  
Irrigation Scheduling ◽  
Stress Effect ◽  
Wheat Cultivation ◽  
Strip Tillage

Judicial water use, as well as improving water use efficiency in agriculture is new challenge. Conservation tillage, as well as mechanical seeding system, offers various benefits over intensive tillage system. Considering this, the study was conducted to find out the water requirements and appropriate deficit irrigation schedule of wheat on different seeding system. This study consisted of following irrigation treatments, like I1 = Irrigation at CRI stage, I2 = Irrigation at CRI and vegetative stages, I3 = Irrigation at CRI and grain filling stages and I4 = Irrigation at CRI, vegetative and grain filling stages on four mechanical seeding methods, like T1 = Bed planting, T2 = PTOS, T3 = Strip tillage, and T4 = Zero tillage and laid out in a split plot design with three replications. From the result based on the grain yield and water productivity, bed planting (T1) and three levels of irrigation (I4) was found as the best combination for wheat cultivation. Besides, at water scarcity area bed planting (T1), with two irrigation I2 (CRI and vegetative) was the suitable reduce irrigation scheduling for wheat cultivation. In different seeding methods, bed planting was increased yield about 10.58%, followed by PTOS and yield was identical in PTOS and ST. Comparatively, lowest yield was observed in zero. In irrigation treatment, three irrigations (I4) was observed, the best scheduling for wheat on all seeding system and yield was increased 11.98% in I4, followed by I2 and lowest yield was found in I1. The result also revealed that the soil moisture contribution was decreased with increased applied water, as well as number of irrigation.

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