Article
Green & Sustainable Science & Technology
Marilyn S. Painagan, Victor B. Ella
Summary: Deficit irrigation offers potential for sustainable water resources management by maximizing yield and water productivity through reducing irrigation. This study demonstrates that a 60% deficit irrigation level can achieve optimal water productivity without the need for excessive water usage. The DSSAT CERES-Maize and AquaCrop models prove to be effective decision support tools for corn production systems in the Philippines, particularly when employing deficit irrigation.
Article
Engineering, Civil
Shahin Solgi, Seyed Hamid Ahmadi, Ali Reza Sepaskhah, Mohsen Edalat
Summary: Water-saving through deficit irrigation management is an effective approach to improve water productivity in sustainable agriculture. Crop modeling can be used to evaluate the impact of different irrigation scenarios on yield and water productivity. This study assessed the effects of surface and sprinkler irrigation under different climatic scenarios and irrigation strategies. The results showed that reducing irrigation water by 30% improved water productivity in different growing seasons. Additionally, sprinkler irrigation can increase water productivity and sustain crop production in normal and wet years, but may have negative effects in other conditions. It is important to synchronize irrigation strategies with rainfall characteristics in areas with erratic rainfalls to enhance water productivity and maintain crop production.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Seyed Hamid Ahmadi, Mohammad Reza Reis Ghorra, Ali Reza Sepaskhah
Summary: The AquaCrop model was used to simulate the growth of potatoes in a hot semi-arid environment, and different irrigation managements were studied. The results showed that the model performed well in simulating potato growth and could be used as a reliable tool for irrigation water management and decision-making in potato production.
FIELD CROPS RESEARCH
(2022)
Article
Environmental Sciences
Amir Mahyar Khoshsirat, Mohsen Najarchi, Reza Jafarinia, Shahroo Mokhtari
Summary: This study utilized the AquaCrop model to simulate and calibrate the growth and yield of winter wheat and barley under arid and semi-arid climatic conditions, with the analysis of statistical indicators for evaluation.
Article
Biology
Mahwish Jabeen, Sajid Rashid Ahmed, Mukhtar Ahmed
Summary: The lack of good irrigation practices and policy reforms in Pakistan poses significant threats to water and food security. This research examined the wheat grain yield and water use efficiency under limited irrigation practices in arid and semi-arid regions. The findings showed that reducing irrigation levels can enhance wheat growth and water use efficiency.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2022)
Article
Engineering, Civil
Rouhollah Davarpanah, Seyed Hamid Ahmadi
Summary: This study used the AquaCrop model to simulate different deficit irrigation scenarios for winter wheat in a warm and semi-arid environment in Iran, finding that rotational irrigation is more adaptable and productive compared to on-demand irrigation in managing water stress. The research highlighted the importance of optimal irrigation timing and planning in achieving high grain yield and water productivity under different climate conditions.
JOURNAL OF HYDROLOGY
(2021)
Article
Agronomy
Forough Fazel, Hossein Ansari, Jonathan Aguilar
Summary: This study investigates irrigation scheduling strategies for forage sorghum in the U.S. Central High Plains. By using the AquaCrop model, the most efficient irrigation intervals and maximum allowable depletion levels were determined. It is recommended to combine pre-season irrigation for optimal results.
Article
Water Resources
Abdoreza Ahmadpour, Bahman Farhadi Bansouleh, Arash Azari
Summary: This study developed a combined method using Geographic Information System (GIS) and the grid weather generation tools to investigate the spatial and temporal variation of crop yield, seasonal crop evapotranspiration, and water productivity of maize under various irrigation scenarios. The results showed that increasing water stress led to an increase in the spatial and temporal variation of crop water productivity, with spatial changes being more significant than temporal changes.
APPLIED WATER SCIENCE
(2022)
Article
Plant Sciences
Carolina Morales, Camilo Riveros-Burgos, Felipe Espinoza Seguel, Carlos Maldonado, Jacob Mashilo, Catalina Pinto, Rodrigo Ivan Contreras-Soto
Summary: Drought is a major constraint in agriculture worldwide, and grafting high-yielding varieties onto drought-tolerant rootstocks is an effective strategy to mitigate its adverse effects. This study evaluated the performance of watermelon grafted onto Lagenaria siceraria rootstocks in terms of fruit yield and quality, root system architecture, and water productivity. The results showed that the L. siceraria rootstocks had no significant effect on fruit quality parameters, but 'Illapel', 'Osorno', and 'GC' rootstocks significantly improved fruit number and yield under water deficit conditions. Additionally, these rootstocks exhibited distinct root system architecture traits compared to 'BG-48' and 'Philippines'. Therefore, this study provides valuable insights for adjusting irrigation water application in watermelon production using L. siceraria rootstocks.
Article
Agronomy
Angela Morales-Santos, Margarita Garcia-Vila, Reinhard Nolz
Summary: Due to climate change, subhumid regions will face a significant increase in irrigation demand, posing challenges for agriculture with inefficient irrigation management. This study aims to evaluate irrigation systems and strategies for soybeans in Austria using the parameterized FAO AquaCrop model. Three irrigation methods were considered, and the results showed that a moderate deficit irrigation strategy with appropriate thresholds improved yields and irrigation water productivity. Drip systems outperformed sprinkler systems in terms of efficiency and water productivity.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
Mostafa Rahimi Jamnani, Farhad Mirzaei, Abdolmajid Liaghat
Summary: This study improves irrigation scheduling and water management on sugarcane farms in Khuzestan province, Iran using simulation models and algorithms. The selected scenario, scenario 3, showed increased water efficiency and slightly improved economic benefits.
IRRIGATION AND DRAINAGE
(2022)
Article
Agronomy
Afm Tariqul Islam, Akm Saiful Islam, Gm Tarekul Islam, Sujit Kumar Bala, Mashfiqus Salehin, Apurba Kanti Choudhury, Nepal C. Dey, Akbar Hossain
Summary: Bangladesh, especially the northwestern region, is facing twin challenges of food and water security due to climate change. This study assessed the future wheat water productivity (WP) in this region and tested adaptation strategies such as shifting sowing dates and introducing heat-tolerant varieties. The results showed that future climate change will significantly reduce wheat yield and WP, but adjusting sowing dates and introducing heat-tolerant varieties can mitigate these effects.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Water Resources
Seyed Hamid Ahmadi, Mohammad Hadi Jorenush, Saeed Boroomand Nasab
Summary: The parameterized AquaCrop model was used to simulate the four major elements affecting crop growth process of three irrigated winter wheat cultivars in different climatic conditions of southern Iran. The model showed high skill in simulating soil water content, canopy cover, biomass, and grain yield. AquaCrop was able to simulate grain yield and irrigation water productivity of different winter wheat cultivars under various conditions, making it a reliable decision-making tool for field managers and stakeholders.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Agriculture, Multidisciplinary
Raphael Linker
Summary: This study proposes a method for optimal delineation of irrigation zones in drip irrigation under constraints, utilizing historical weather records, soil maps, simulation models, crop and water prices. By estimating water productivity functions on different soil types and managing according to optimal conditions, the management zones can be optimized to increase profit through yield increase and/or water savings.
PRECISION AGRICULTURE
(2021)
Article
Environmental Sciences
Anna Pelosi, Oscar Rosario Belfiore, Guido D'Urso, Giovanni Battista Chirico
Summary: The development of Earth Observation systems and numerical atmospheric modeling has allowed for improved estimation of crop water requirements and yield. This study used the AquaCrop model to assess the water requirements and yield of tomatoes in Southern Italy, incorporating satellite imagery and weather data for better predictions. The results demonstrated the added value of satellite data in improving crop growth models.
Article
Automation & Control Systems
Maolong Lv, Bart De Schutter, Jinde Cao, Simone Baldi
Summary: Practical tracking results for high-order odd-rational-power nonlinear dynamics have been reported. Asymptotic tracking remains an open problem for such dynamics. This note proposes a solution using prescribed performance control without involving approximation structures and validates it using a practical poppet valve system.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Ximan Wang, Simone Baldi, Xuewei Feng, Changwei Wu, Hongwei Xie, Bart De Schutter
Summary: The paper proposes a non-uniform vector field method for UAV formation control, which does not assume the absence of wind. The stability of the method is analyzed using Lyapunov stability theory and validated through comparative experiments.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Transportation
Facundo Storani, Roberta Di Pace, Bart De Schutter
Summary: This paper introduces a traffic responsive control framework based on Model Predictive Control (MPC) approach, which focuses on centralized computation of network decision variables. The framework utilizes a hybrid traffic flow model as the prediction model and plant model in the control procedure. The framework is tested on a signalized arterial road, with various analyses conducted to evaluate different control strategies.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Yixia Wang, Shu Lin, Yibing Wang, Bart De Schutter, Jungang Xu
Summary: This study focuses on the problem of mixed platoons consisting of both automated vehicles and manual vehicles. Models are established for the platoons and H-infinity controllers are designed to achieve formation consensus. The robustness of the control algorithms in alleviating platoon uncertainties is investigated using the H-infinity norm. Conditions are formulated to maintain stability and avoid vehicle collisions based on the penetration rate of manual vehicles. Simulation results demonstrate that the presented controllers can ensure the consensus of mixed platoons under uncertainties.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jianfeng Fu, Saeed Peyghami, Alfredo Nunez, Frede Blaabjerg, Bart De Schutter
Summary: This paper proposes a failure probability prediction model (FPM) for modular-multilevel-converters (MMCs) considering the influence of mission profiles and maintenance decisions on future failure probabilities. The model utilizes a tractable form (T-form) to express the failure probabilities of the MMCs and introduces an approximation method (C&A) to reduce computation times. The results show high accuracy and significant reduction in computation time compared to traditional methods.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Jianfeng Fu, Alfredo Nunez, Bart De Schutter
Summary: This paper focuses on a two-layer long-term predictive maintenance decision making framework in a deregulated environment for power systems. The first layer optimizes the maintenance schedule for generation companies (GENCOs) to minimize cost and degradation statuses. The second layer introduces a bidding mechanism for GENCOs to bid for preferred time slots. The proposed interchangeable bidding mechanism for maintenance (IBMM) allows GENCOs to purchase energy from neighboring ISOs and penalizes them for reducing energy transmission. The case study demonstrates the effectiveness of the proposed bidding strategy in the IEEE 118-bus network.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Automation & Control Systems
Gert van Lagen, Edo Abraham, Peyman Mohajerin Esfahani
Summary: This article proposes an active fault isolation method for localizing leaks in water distribution networks (WDNs). The method uses classification of observed outputs and smooth kernel density estimation to approximate the output probability distribution functions (PDFs) corresponding to the considered faults. An active algorithm is introduced to minimize the overlap between output PDFs by designing optimal control inputs. Due to physical limitations and uncertainties, complete separation and fault isolation for a single observed output cannot be guaranteed, so an iterative framework is used with posterior probabilities from previous time steps serving as prior probabilities for the next time step. The method improves performance compared to the best passive method in the literature.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Maolong Lv, Bart De Schutter, Ying Wang, Di Shen
Summary: This article aims to achieve zero-error constrained tracking for hypersonic flight vehicles. It addresses the challenges of multiple unknown control directions and asymmetric flight state constraints by introducing novel Nussbaum functions and utilizing fuzzy-logic systems to approximate model uncertainties. Asymmetric integral barrier Lyapunov functions are also used to handle the asymmetry in the operating regions of flight state variables.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Industrial
Kailan Wu, Bart De Schutter, Jafar Rezaei, Lorant Tavasszy
Summary: Consumer goods supply chains are striving to develop and offer green products to capture new business opportunities and improve profitability. The paper focuses on marginal and development cost-intensive green products (MDIGPs) like electric vehicles, examining the challenges of designing these products within the context of demand uncertainty. The study formulates a game-theoretic framework and proposes a bargaining game to coordinate decisions, finding that demand uncertainty can impact product greenness and prices in unexpected ways.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Automation & Control Systems
Anna D. Sadowska, Jose Maria Maestre, Ruud Kassking, P. J. van Overloop, Bart De Schutter
Summary: We propose an MPC-based approach to solve a human-in-the-loop control problem for a network system lacking sensors and actuators. Time instant optimization MPC is utilized to coordinate measurement and actuation actions with network dynamics, while minimizing the burden on human operators. The new algorithm outperforms previous methods in meeting operational objectives and taking care of human well-being.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Ergonomics
Erwin de Gelder, Kingsley Adjenughwure, Jeroen Manders, Ron Snijders, Jan-Pieter Paardekooper, Olaf Op den Camp, Arturo Tejada, Bart De Schutter
Summary: This study presents a novel method called Probabilistic RISk Measure derivation (PRISMA) for real-time calculation of specific event probabilities, such as crashes. The PRISMA method utilizes a data-driven approach to predict future traffic participant trajectories and reduces reliance on specific assumptions. Benchmarking results suggest that the derived surrogate safety measures (SSMs) align with expected risk trends.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Economics
Xiaoyu Liu, Azita Dabiri, Jing Xun, Bart De Schutter
Summary: This paper addresses the train scheduling problem in metro networks, taking into account time-dependent passenger origin-destination demands and train speed profiles. By developing an extended passenger absorption model and a bi-level MPC approach, the passenger satisfaction and operational costs are jointly optimized. Numerical experiments based on real-life data showcase the effectiveness of the proposed approach.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Proceedings Paper
Engineering, Marine
Athina Ilioudi, Ben J. Wolf, Azita Dabiri, Bart De Schutter
Summary: This paper proposes a standardized selection framework to evaluate the quality of underwater images and select suitable image enhancement techniques.
OCEANS 2023 - LIMERICK
(2023)
Article
Agricultural Engineering
Abbas Alloul, Ali Moradvandi, Daniel Puyol, Rail Molina, Giorgio Gardella, Siegfried E. Vlaeminck, Bart De Schutter, Edo Abraham, Ralph E. F. Lindeboom, David G. Weissbrodt
Summary: Purple phototrophic bacteria have potential for resource recovery from wastewater, and raceway reactors provide an affordable solution. Current mathematical models lack the full representation of PPB's metabolic versatility and need further advancement.
BIORESOURCE TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Eghonghon-Aye Eigbe, Bart De Schutter, Mitra Nasri, Neil Yorke-Smith
Summary: This paper introduces a study on an industrial problem with sequence- and time-dependent maintenance tasks, and proposes integer programming, constraint programming, and heuristic solutions. The results show that the integrated scheduling of operational and maintenance tasks leads to significant performance improvements.
