Irrigation Water Management Research Articles

Optimization of Irrigation Scheduling for Improved Irrigation Water Management in Bilate Watershed, Rift Valley, Ethiopia

The availability of water for agricultural production is under threat from climate change and rising demands from various sectors. In this paper, a simulation-optimization model for optimizing the irrigation schedule in the Bilate watershed was developed, to save irrigation water and maximize the yield of deficit irrigation. The model integrated the Soil and Water Assessment Tool (SWAT) and an irrigation-scheduling optimization model. The SWAT model was used to simulate crop yield and evapotranspiration. The Jensen crop-water-production function was applied to solve potato and wheat irrigation-scheduling-optimization problems. Results showed that the model can be applied to manage the complicated simulation-optimization irrigation-scheduling problems for potato and wheat. The optimization result indicated that optimizing irrigation-scheduling based on moisture-stress-sensitivity levels can save up to 25.6% of irrigation water in the study area, with insignificant yield-reduction. Furthermore, optimizing deficit-irrigation-scheduling based on moisture-stress-sensitivity levels can maximize the yield of potato and wheat by up to 25% and 34%, respectively. The model developed in this study can provide technical support for effective irrigation-scheduling to save irrigation water and maximize yield production.

Water Footprint Assessment for Irrigated Paddy Cultivation in Walawe Irrigation Scheme, Sri Lanka

Water footprint (WF) is a comprehensive summation of the volume of freshwater consumed directly and indirectly in all the steps of the production chain of a product. The water footprint concept has been widely used in agricultural water resources management. Water for irrigation is supplied in Sri Lanka to farmers at no cost, and thus the question is arising, whether the current management strategies the authorities and the farmers follow are appropriate to achieve productive water utilization. Therefore, this study aims at evaluating the water footprint of rice production in an irrigation scheme in the dry zone of Sri Lanka, the Walawe irrigation scheme. Due to the unreliability of the rainfall in the study area paddy cultivation depends entirely on irrigation, thus, the WFblue, in other terms the volume of water evaporated from the irrigation water supply is considered as the total WF (WFtot) in this study. Actual crop evapotranspiration (equivalent to ETblue) was estimated based on the Penman-Monteith (P-M) model integrating effective rainfall, and crop coefficient published in Sri Lankan Irrigation Design Guidelines. The study spanned for three irrigation years from 2018–2021. Actual irrigation water issued to the field was estimated based on the data recorded by the government body responsible for irrigation water management of the area—Mahaweli Authority of Sri Lanka. The total volume of percolated water was computed employing the water balance method while assuming runoff is negligible. Results show that the average annual WFblue found to be 2.27 m3/kg, which is higher than global and national WFtot. As the crop yield in the study area (6.5 ton/ha) is also higher than the global (4.49 ton/ha) and national (3.5 ton/ha) yields, a conclusion was drawn that the irrigation water usage (CWUTblue) in the area may be significantly higher. It was then noted the higher CWUTblue was due to relatively higher evapotranspiration in the area. Thus, it is vital to reduce excess water usage by shifting irrigation practices from flooded irrigation to the System of Rice Intensification (SRI).

Information constraint and farmers’ willingness to pay for an irrigation scheduling tool

Sub-Saharan Africa (SSA) has witnessed increasing water scarcity and demand for additional water resources due to climate change. However, lack of information and access to irrigation scheduling decision support tools may limit smallholder farmers’ ability to manage irrigation water efficiently for sustainable crop production. To overcome the complex nature associated with irrigation scheduling, simple low-cost, and user-friendly soil water monitoring tools such as the Wetting Front Detector (WFD) have been developed but the commercial viability of these tools relies on effective demand for the services. This paper assesses how information on the Wetting Front Detector influences farmers’ willingness to pay (WTP). We find firstly that about 57% of the farmers have information about the WFD and 98% reported a WTP higher than zero. Secondly, farmers are highly price sensitive, but most are willing to pay a small amount for the WFD. Thirdly, irrigation information increases farmers’ WTP for WFD by US$6 after controlling for variations existing among irrigation communities. A heterogeneity analysis indicates that WTP is higher for women, youth, and high-income earners than men, adults, and low-income earners. The results imply that increasing initial awareness and providing price subsidies for the new irrigation scheduling tool will increase future adoption.

Simulation-optimization based real-time irrigation scheduling: A human-machine interactive method enhanced by data assimilation

Efficient irrigation scheduling is crucial for both improving crop production and saving irrigation water use in arid/semi-arid agricultural regions threatened by water shortage and soil salinity. However, irrigation scheduling optimization is hindered by the uncertainties of data and optimization model, and adopting the optimal irrigation scheduling is subject to farmers' acceptance. To effectively tackle these challenges, this paper presents a novel human-machine interactive framework for real-time irrigation scheduling (RIS). The developed modeling framework couples a simulation-optimization model, irrigation farmers, and a data assimilation procedure within the human-machine interactive framework for RIS. The proposed approach is capable of: 1) searching optimal irrigation scheduling through the simulation-optimization model; 2) making actual irrigation decisions based on farmers' experiences, knowledge, behaviors, or optimal solutions; and 3) updating soil water content based on the model simulations and real-time observations at each time period. The RIS is applied to a real-world case in a typical arid agricultural region of China. Based on the comparisons with historical irrigation records and a tradition simulation-optimization model, the proposed RIS can not only achieve higher economic benefit with less irrigation water allocation quotas, but also improve irrigation efficiency. This study contributes to the methodology by integrating computer model, real-time observations and farmers' experiences to optimization modeling framework for supporting sustainable irrigation water management.

Trends in scientific literature on the environmental sustainability of the artichoke (Cynara cardunculus L. spp.) supply chain

PurposeThe research provides a systematic literature review on the environmental sustainability of the globe artichoke [Cynara cardunculus L. var. scolymus (L.) Fiori], in the cultivated cardoon [Cynara cardunculus L. var. altilis DC.] and in the wild cardoon [Cynara cardunculus L. var. sylvestris (Lamk)] supply chains, to fill in the literature data gaps and to identify new research directions.Design/methodology/approachIn the light of the PRISMA standard guidelines, the research provides a systematic literature review according to six research strings on Scopus and Web of Science. 45 scientific articles have been selected out of 407 contributions. Data have been synthesized according to a co-word analysis through the VOSviewer software, to provide insights into the structure of the research network, to offer a multidimensional scaling and clustering into research groups and to discuss the results.FindingsThe research identifies five main research trends: (1) biomass-to-bioenergy or biomass-to-biocomposite materials; (2) waste-to-bioenergy or waste-to-bioproducts; (3) crop management to increase yield productivity; (4) environmental impacts assessment; (5) irrigation water management. Besides, the research highlights momentous challenges and adopted strategies to tackle climate change and to reduce natural resources consumption, as well as the nexus between circular economy and environmental impact assessment.Originality/valueThe novelty of this study relies on the fact that it analyses the environmental sustainability of the Cynara cardunculus L. spp. Supply chain in a systematic way, giving the opportunity to identify future research directions regarding the environmental impacts associated with agricultural production and industrial transformation.

Farmers’ Perceptions on an Irrigation Advisory Service: Evidence from Tunisia

Decisions on irrigation water management are usually made at different levels, including farms, water user associations (WUAs), and regional water planning agencies. The latter generally have good access to information and decision tools regarding water resources management. However, these remain out of reach to the final water users, namely the farmers. The study, conducted in the irrigated district of Cherfech, north Tunisia, had the main objective of investigating farmer’s perceptions of, and acceptance for, the use of an irrigation advisory service (IAS) to be implemented by their WUA. The suggested IAS provides the following information: (1) reference evapotranspiration (ETo) and rainfall; (2) crop water requirement (CWR) of the most cultivated crops; (3) irrigation water requirement (IWR) of the farmer’s crop; and (4) crop monitoring and real-time estimation of IWR of crops settled, using soil moisture sensors. Such services and information would be available at the WUA level and provided in a timely manner to farmers for more effective decision making at the plot level. Prior to the acceptance study, we launched a technical study to determine the required tools and equipment required for the implementation of the IAS, followed by a farmer survey to assess their respective perceptions and acceptance towards this IAS. Results showed that only 54% of the farmers are satisfied by WUAs work, but that 77% of them accepted using the suggested IAS. Farmers are also willing to pay for most of the IAS packages suggested. The financial profitability of investing in the IAS at the WUA level shows the venture is financially viable, with a benefit cost ratio (BCR) of 1.018. The project will be even more profitable if we add the social benefits, which may result in water savings at the WUA level.

“Half a flood’s no good”: flooding, viticulture, and hydrosocial terroir in a South Australian wine region

Floods generate both risks and benefits. In Langhorne Creek, South Australia, a historically-embedded system of shared floodwater management exists among farmers, who rely on semi-regular flood inundations as part of the region’s hydrosocial terroir – a dynamic conjunction of water, landscape, social relations and agricultural practice. Unruly floods coexist with a heavily regulated and precisely measured system of modern water management for viticultural irrigation across the region. Since the mid-twentieth century, groundwater extraction and new pipeline schemes have linked Langhorne Creek to the Murray Darling Basin water management system, which has displaced flooding as the primary source of irrigation water. The associated modernist shift towards the rationalization of water as a measurable resource has acted to sideline flood irrigation. Yet, floods maintain important viticultural, ecological and social roles in Langhorne Creek, adding to the flexibility and resilience of the region in response to water management challenges. The system involves technological and infrastructural components, such as flood gates and channels, but also relies upon the cooperation and coordination of community members. Local vignerons suggest that flood irrigation is environmentally as well as economically beneficial, rejuvenating riparian wetlands along watercourses. A more formal acknowledgement of the specific regional experiences of water management in a wine region like Langhorne Creek helps to fill a gap between emplaced and hydrosocial understandings of flood irrigation and broader assumptions about flooding as wasteful and inefficient.

Computer aided decision making to use optimum water in safflower growing

n plants, it is one of the important factors to provide ecological factors for productivity. Plants perceive the effects of environmental factorsoutside as stress and create appropriate physiological responses in their metabolism. Water stress is a type of abiotic stress and is oneof the important factors affecting the growth and development of plants. Irrigation water management is very important for sustainableuse of water resources. Therefore, support tools are becoming increasingly important in deciding irrigation. With the developments thetechnology, computerized support applications are usually used in agricultural areas. In the study, it is aimed to determine the effects ofirrigation applications performed in different periods on yield quality and spectral reflections of safflower plant and to create applicableirrigation programs in safflower cultivation. From the reflections detained from safflower leaves by using spectroradiometer device, thedetermination of safflower plant according to water ratio different situations is done. Reflections are taken as three groups where theplants are grown at wavelengths of 325 nm to 1075 nm. Water due diligence related with safflower is consist of two stages. The firststage is the provision of the feature vector, the second stage is the classification of the feature vector related to data. As classificationmethods, support vector machine, k-nearest neighbor and decision tree are used. In comparison of three groups, the average value ofthe performance is high. As a result, considering the fallowed method and the procedure used, it is evaluated that such studies can beused in agriculture and cultivation.

Produção e relações hídricas do amendoim irrigado com águas salobras sob gotejamento pulso e contínuo

ABSTRACT An efficient water management in irrigation is essential to optimize water efficiency, especially when using brackish water. Thus, the present study was carried out aiming to analyze gas exchanges, pod production, and the water status of peanut plants under increasing levels of salinity (electrical conductivity of 0.12, 1.6, 2.8, 4.0, and 5.2 dS m-1) and the application of the irrigation depth via pulses. A randomized block design in a 5 × 2 factorial scheme was used with four replications, adding up to forty experimental units. The experiment was carried out in drainage lysimeters, at the Federal Rural University of Pernambuco, in open fields from September to November 2019. It was concluded that the use of pulse drip irrigation did not mitigate the deleterious effect of salinity but promoted higher grain and pod production compared to continuous drip irrigation. It was also found that the use of brackish water via pulse drip irrigation promotes greater water use efficiency compared to continuous drip irrigation, and that the increase in the electrical conductivity of the water reduced the water, pressure, and osmotic potentials, along with the osmotic adjustment.

Enhancing Sugarcane Productivity through Scientific Irrigation Water Management in Western India

Enhancing Sugarcane Productivity through Scientific Irrigation Water Management in Western India

Parameterizing the AquaCrop model for potato growth modeling in a semi-arid region

The AquaCrop model was used to model potato growth in a hot semi-arid environment under diverse irrigation managements including water saving irrigation treatments in two growing seasons of 2012 and 2013. The potato cultivars were Agria and Ramos in 2012, and Agria and Sante in 2013. The irrigation treatments were full irrigation and different static and dynamic deficit irrigation managements. The model was calibrated with the data of the cultivar Agria under full irrigation and static deficit irrigation in 2013. Validation was performed using the data from the other potato cultivars and growing seasons, by keeping the conservative crop parameters adjusted in calibration and changing those non-conservative parameters referring to the crop development. Analysis showed that biomass simulation was highly affected by the normalized water productivity (WP*). Unlike the previous studies on modeling with AquaCrop that assumed only one WP* for the whole growing period, we found that it is required to calibrate one WP* for the first half of the growing season until flowering, and then recalibrated WP* for the late growing season. One single WP* assumed for the whole growing season could not simulate the declining potato growth at the late growing season satisfactory, when potatoes were subject to water stress and high air temperature (heat stress). The simulations of the calibrated model showed that the model could simulate total soil water content, volumetric soil water content, and tuber dry yield satisfactory. In addition, the model showed excellent performance in simulation of the total actual evapotranspiration and end-season water productivity. The AquaCrop model was good in simulating the in-season biomass, though it showed fair simulation of biomass in the late growing season. Overall, the performance of the AquaCrop model was reasonable and satisfactory, and the model is a reliable analytical tool for irrigation water management and proper decision making in potato production under variable water resources in the hot semi-arid areas. • AquaCrop has been used for modeling potato growth in a hot and semi-arid region. • AquaCrop had satisfactory performance in simulating soil water content and tuber dry yield. • AquaCrop had excellent performance in simulating end-season actual evapotranspiration and water productivity. • Two WP* values were assumed to differentiate the effects of water and heat stresses on different growing periods. • The calibrated WP* was assigned 13 and 10 g m −2 during the early and late growing season, respectively.

Manejo da irrigação para o cultivo de sorgo granífero com água salina

ABSTRACT In order to obtain an efficient cultivation of grain sorghum in production systems that use saline water, an adequate management becomes necessary for maximizing its production. The present study aimed to evaluate the effect of the application of leaching fractions in the saline water irrigation management on the production of sorghum varieties and on the distribution of water and salts in the soil profile, under semiarid conditions. The study was carried out in the municipality of Petrolina, semiarid region of Brazil. The experimental design was randomized blocks, with four replicates, in split-split plots; four leaching fractions (LF): 0, 5, 10, and 15% with saline water from artesian well in the plots, three varieties of grain sorghum: 1011-IPA, 2502-IPA and Ponta Negra in the subplots, and two crop cycles (1st and 2nd cut) in the sub-subplots. The evaluated variables were distribution of water and salts in the soil profile, biometric variables, fresh biomass, dry biomass, and grain yield. Application of leaching fractions of up 15% in saline water irrigation promotes better distribution of salts in the soil profile, with increments of up to 60% in the grain yield of the sorghum varieties evaluated. The production of the varieties 1011-IPA and Ponta Negra is a feasible alternative in systems irrigated with saline water with average electrical conductivity of 4.19 dS m-1, in Ultisol, under semiarid conditions.

Twenty Years of Remote Sensing Applications Targeting Landscape Analysis and Environmental Issues in Olive Growing: A Review

The olive (Olea europaea L.) is an iconic tree linked to the birth of some of the most ancient civilizations and one of the most important cultivated tree species in the Mediterranean basin. Over the last few decades, given the high socio-economic importance of the olive sector, there has been much research involving remote sensing (RS) applications in olive growing, especially in precision agriculture. This review article is part of a review that aims to cover the past, from the 2000s onwards, and the most recent applications of remote sensing (RS) in olive growing to be able to include research and all topics related to the use of RS on olive trees. As far as the use of RS platforms such as satellites, aircraft, and unmanned aerial vehicles (UAVs) in olive growing is concerned, a review of the literature showed the presence of several works devoted to it. A brief introduction on the history of the olive tree and its distribution and cultivation around the world, together with a summary of the leading RS platforms (a good portion of which are satellites) used in olive research, anticipates the discussion of four topics about olive growing that have as their common thread positive (and non-positive) impacts on the environment: preservation of olive landscape and soil erosion, identification of olive groves, olive oil mill wastewater (OOMW) and relative environmental risks, irrigation water management and the use of RS platforms for water stress monitoring. The preservation of olive groves as an element of Mediterranean identity and strategic economic resource in agriculture depends on sustainable environmental management alongside technological advances brought by precision agriculture.

Estimation of Water Productivity of Cucumber and Potato Crops for Water Management in Palestine

Aims: The aim of this study was to survey the agronomic practices that practiced by the farmers for potato and cucumber crops, and to estimate the water productivity of these crops.
 Study Design: A questionnaire was designed to collect data about the agronomic practices that practiced by the farmers during the growing period of cucumber cultivated in open field and potato crops.
 Place and Duration of Study: A field survey was carried out at Al-Bqaia’h and Kashda areas located at Tubas governorate of the West Bank, Palestine between December 2021 and July 2022.
 Methodology: The questionnaire includes several parts: soil characteristics, crop cultivation, crop development, crop fertilization, yield production, type of irrigation systems used, irrigation water management, and amount of applied irrigation water. Crop evapotranspiration (ETc) was estimated using AQWACROP program. Soil samples were collected from the selected field to evaluate the soil fertility status.
 Results: It is indicated that the crop evapotranspiration of potato (378 mm), higher than that of cucumber crop (343 mm). Huge amount of water (754 and 689 mm) were applied by the farmer during the growing period of potato and cucumber, respectively compared to calculated actual water requirement. The water productivity of cucumber crop varies among different farmers and varies from (3.56 – 6.82 kg/m3) in Al-Bqaia’h area, and (3.7 – 7.5 kg/m3) in Kashda area. The water productivity of potato crop varies from (4.29 – 8.10 kg/m3) in Al-Bqaia’h area, and (5.1 – 8.1 kg/m3) in Kashda area. It is found that the dripper discharge of 2 L/hr enhanced the water productivity compared to the dripper discharge of 4 and 8 L/hr.
 Conclusion: The field survey found that the water productivity of cucumber and potato crops was mainly affected by the performance of individual farmers, the amount of water applied, method of water application and the crop verity.

Two source energy balance maize evapotranspiration estimates using close-canopy mobile infrared sensors and upscaling methods under variable water stress conditions

Mobile infrared thermometers (IRTs) mounted on moving platforms provide one-time-of-day radiometric measurements (Tr), which can be used to calculate instantaneous actual evapotranspiration (ETa) using the two-source energy balance (TSEB) model. However, irrigation scheduling decisions utilize daily ETa estimates, hence the need for time scaling. This study evaluated different upscaling methods to calculate daily maize ETa using one-time-of day Tr under varying water stress conditions. Mobile IRTs were mounted on a high clearance mobile sensing platform and collected Tr in remote locations under full, deficit and rainfed conditions. Seven scaling methods via two pathways were employed to obtain daily ETa. First pathway was scaling one-time-of-day Tr (SC) whereas the second pathway involved use of six upscaling methods of instantaneous ETa including: original and modified evaporative factor ((EF)o, (EF)m) as well as crop coefficient ((Kc)o, (Kc)m), direct canopy resistance (Direct- rc), and solar radiation ratio (Rn/Rs); and all were compared to a neutron-based soil water balance (SWB) determined ETa. From the results, SC outperformed other methods in comparison to SWB ETa across all the selected treatments with smaller discrepancies and lower RMSE (0.9–1.7 mm d−1 vs. 0.7–4.3 mm d−1 for other methods). Furthermore, methods including SC, (EF)o, (EF)m, and Rn/Rs had their daily average ETa values in close agreement to SWB ETa with mean ETa differences ranging between 0.2 and 1.6 mm d−1. Overall, SC method performed better in fully irrigated maize (r2 = 0.52, RMSE = 0.9 mm d−1) than in deficit irrigated maize ( r2 = 0.48, RMSE = 1.4 mm d−1) but worst in rainfed maize (r2 = 0.16, RMSE = 1.7 mm d−1). This implies that SC is more suited for irrigated rather than rainfed settings. Importantly, the choice of any method depends on data requirements, irrigation water management strategy, and ETa estimation accuracy.

Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil

Irrigated agriculture requires the implementation of innovative tools to improve irrigation water management and accurate estimation of actual evapotranspiration (ETa) such as remote sensing-based methodology. This study aimed to evaluate the irrigation management and estimating evapotranspiration through the geeSEBAL, a new tool for automated estimation of ETa based on the Surface Energy Balance Algorithm for Land (SEBAL) and a simplified version of the Calibration using Inverse Modeling at Extreme Conditions (CIMEC) process for the endmembers selection, implemented into the Google Earth Engine (GEE) environment. GeeSEBAL has not been used yet in Brazil for irrigation proposes, and in this research, it was applied to estimate ETa using Landsat images and ERA5-Land as meteorological inputs in the largest sugarcane producing region of the world in Brazil for two ratoon seasons by comparing daily ETa with values obtained from eddy covariance (EC) data, Energy balance components using geeSEBAL were consistent with the measured data and daily ETa presenting RMSE of 0.46 mm with R2 = 0.97. Modeled ETa and Kc were similar for the two seasons, although somewhat overestimated for the fifth ratoon when compared to the EC data, mainly during high atmospheric demand (crop mid-stage). Still, the Kc values were similar to the standard values available in the literature and measured flux tower data for the two ratoons seasons. With ETa from geeSEBAL it was possible to identify water stress over the growing seasons using the remote sensing-based soil water balance, which occurred mainly during the phase after the crop reached the peak Kc (full cover stage) when the irrigation depth required was very high. This analysis showed that geeSEBAL has a significant potential for assessment of ETa for irrigation monitoring and management, even in missing climate data areas, allowing important advances in water resources management for sugarcane and other irrigated crops at field or regional scales.

Adapting Irrigation Strategies to Mitigate Climate Change Impacts: A Value Engineering Approach

Water scarcity and climate change are posing new challenges to irrigation management. Climate change increases water demand and decreases crop yields. The aim of this paper is to propose a framework to select the most efficient irrigation strategy to mitigate the impacts of climate change and achieve food security. Value engineering (VE) methodology is utilized to assure the functionality of the strategy and add an element of creativity while creating the value alternatives. The life cycle cost (LCC) technique is utilized to provide the optimum irrigation strategy from an economic perspective. The findings showed three different value alternatives for different crops, soil types, and irrigation systems. This paper contributes to the current state of knowledge by a) utilizing the Value Engineering methodology in irrigation management studies; b) evaluating irrigation strategies to ensure efficient irrigation water management; and c) providing policymakers with a tool to incorporate the added value and functionality into their policies regarding irrigation water.

An Economic Study for The Efficiency Usage and Management of Irrigation Water in Egyptian Agriculture

An Economic Study for The Efficiency Usage and Management of Irrigation Water in Egyptian Agriculture

Irrigation Water Management of Canola Crop under Surface and Subsurface Drip Irrigation Systems at Toshka Area. Egypt.

Irrigation Water Management of Canola Crop under Surface and Subsurface Drip Irrigation Systems at Toshka Area. Egypt.

Crop water requirement and irrigation scheduling of dry season irrigated crops in Pawe district, lowland hot humid area of Ethiopia

Knowledge of irrigation water requirements and irrigation time schedules improves irrigation water management and crop productivity in the field. The CROPWAT model calculates the ETo, CWR, and IRs to develop the irrigation schedules under different administration conditions and water supply plans. The objective of this study was to determine the crop water requirement of tomato, onion and soybean crops and their irrigation scheduling under local climate condition of Pawe district. Local climate, crop type and soil data were used as input data to determine crop water requirement (CWR) and irrigation scheduling. The finding of this study was crop water requirements of tomato, onion and soyabean were 547.7, 362.8 and 337 mm respectively per season on black clay soil of Pawe district. The obtained irrigation scheduling were twelve irrigation schedules for tomatoes, elven for onion and five for soybean. The study will help to improve the management of water resources and loss of crop productivity. This study can be used as a reference for decision-making for future irrigation scheme planning and irrigation water development of Pawe district.