Balancing irrigation planning and risk preference for sustainable irrigated agriculture: A fuzzy credibility-based optimization model with the Hurwicz criterion under uncertainty

2021 ◽  
Vol 254 ◽  
pp. 106949
Author(s):  
Chenglong Zhang ◽  
Xuemin Li ◽  
Ping Guo ◽  
Zailin Huo
2017 ◽  
Vol 9 (12) ◽  
pp. 54
Author(s):  
Florence Cassel ◽  
Shankar Sharma

Efficient water use planning is crucial for the sustainability of irrigated agriculture in California, where alluvial geological materials with indigenous salts impinge on crop growth. To facilitate irrigation scheduling and cultivation planning, it is necessary to determine water percolation quotients (WPQ) required for removal of excess salts from the rhizosphere. In order to estimate real-time WPQ, we conducted electromagnetic geophysical surveys at a saline farmland followed by stochastic computations. Results showed a wide variability in salinity that reached 16 dS m-1 in some locations. About 95% of the surveyed samples surpassed 2 dS m-1. Despite spatially dependent asymmetric variability and skewness (-0.13 to 1.90), the WPQ distribution patterns were consistently quantified with low errors (< 0.06). The sensor responses in the fields reached 100% cumulative frequency at a threshold of 13.6 dS m-1. Up to 49% of WPQ data ranged from 0.1 to 0.2. The WPQ decreased with increasing salinity and the zones with low quotient values represented areas where plant growth could be impaired. High WPQ levels demarcated zones with potential solute dissolution and dispersion. Overall, evaluation of WPQ can benefit irrigation planning and crop management practices while enhancing water use efficiency for agricultural production in farms that have been affected by drought and water shortage, and crop growth can be sustained at WPQ level that maintains salts below the crop tolerance threshold.


2008 ◽  
Vol 8 (4) ◽  
pp. 666-671 ◽  
Author(s):  
Anongrit Kangrang ◽  
Anujit Phumphan ◽  
Chavalit Chaleerakt

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yang Song ◽  
Yan-qiu Liu ◽  
Qi Sun ◽  
Hai-tao Xu ◽  
Ming-fei Chen

Epidemic blockade leads to increased uncertainty and dynamic supply network disruption. This study considers an uncertain optimization of dynamic supply networks with risk preference and order delivery disruption. Taking the subjective utility of downstream enterprises as a reference point for the utility measurement of order delivery disruption and risk preference, this study constructs a biobjective optimization model with the goal of maximizing the downstream firm’s subjective utility and minimizing the manufacturer’s cost. The influence of each parameter in the downstream firm’s subjective utility function on the integrated optimization was analysed. The research found that the uncertain optimization model with the risk preference of downstream firms for order delivery disruption better controls the actual manufacturer’s order allocation and distribution problems when considering the downstream firms’ behaviour preference characteristics under bounded rationality. When allocating orders, manufacturers should consider that changes in order delivery disruption will cause changes in the subjective utility of downstream enterprises. In the process of multiperiod cooperation between manufacturers and downstream firms, they can obtain downstream firm risk preferences through repeated investigations.


Author(s):  
O. I. Zhovtonog ◽  
V. V. Polishchuk ◽  
L. A. Filipenko ◽  
A. F. Saliuk ◽  
Ya. O. Butenko ◽  
...  

Introduction. The current challenges in water and agriculture management in Ukraine wield major influence on the development of reclamation science and practice. These challenges and the realities of irrigated farming require a revision of traditional decision-making methods and criteria to ensure resource-efficient irrigation management. Analytical and experimental studies were conducted to evaluate existing irrigation practices, develop a vision for its development over the next 20-30 years, and evaluate the prospects for the use of certain innovative products that can be implemented for irrigation management under existing economic conditions and in the future. The purpose of the research was to improve the methods of operational irrigation management and support the adoption of appropriate strategic decisions to achieve resource efficiency in irrigated agriculture. The following tasks were solved: to investigate the temporal and spatial variability of the natural and economic conditions of irrigation use; to determine the basic directions of models and algorithms improvement for operational irrigation planning taking into account the spatial and temporal variability of natural and economic conditions of real production; to evaluate perspective directions of development of irrigation planning methods to ensure resource efficiency of management in the current agricultural practice. Methods and methodologies. The research was conducted during 2012-2019 at the farms of Kherson and Zaporizhzhya regions. Testing and pilot implementation of the operational irrigation planning information system “GIS Polyv” has been carried out. The studies were carried out on 306 fields, the total area of which was 9266.09 ha, the main crops were soybean, sunflower, winter wheat, alfalfa and winter rape. Research methods included on-site observations, modelling, remote sensing, and method of system analysis. Results and discussion. The role of on-site and space agro-monitoring for the correction of bioclimatic coefficients of crop water consumption taking into account the space-time variability of the actual biomass has been substantiated and demonstrated. For the adaptation of irrigation management to the conditions of air drought, it is proposed to use an additional criterion for making decisions on crop cooling, which is determined by the maximally permissible temperature duration at the vegetation surface above the physiologically acceptable level. It is established that under conditions of air drought, in addition to slowing the growth of biomass, physiological processes occur in the leaves and reproductive organs of plants, due to the increase in the temperature of the vegetation surface. According to studies of energy transfer processes in crops during periods of atmospheric drought, an increase in the use of a share of thermal energy for turbulent exchange has been found compared to the volumes of energy that is evaporated. The vision of the future development of methods of operational irrigation planning based on modern agricultural information platforms has been presented.  It will allow to choose a method of operational irrigation management, based on the capabilities of each farm economy and to provide "on-line" consulting for water user organizations or farm personnel.


MAUSAM ◽  
2021 ◽  
Vol 71 (2) ◽  
pp. 299-314
Author(s):  
YALLURKAR SHRIDHAR ◽  
NAYAK SANDEEP ◽  
NANDAGIRI LAKSHMAN

A rainfall and potential evapotranspiration characteristics together determine the agro-meteorological regime of a region and influences decision concerning the magnitudes and timing of irrigation application.  In the present study, historical rainfall and climate data pertaining to the study area, Uttar Kannada district, Karnataka, was analyzed with a view to characterizing irrigation water requirements. In addition to rainfall input, an important aspect of the water balance model is the crop evapotranspiration (ETcrop), which is the main factor in determining the irrigation schedule. ETcrop could be estimated by reference evapotranspiration (ET0) and crop coefficient. Atmospheric demand for water is represented by ‘potential evapotranspiration’ (PET) and calculated from climatic variables which is crucial for irrigation planning. It has been reported that the Penman-Monteith method gives more consistently correct ET0 estimates to other ET0 methods. While recognizing the importance of both rainfall and PET, an effective measure is known as the ‘Moisture Availability Index’ (MAI), which is computed as the ratio of 75% dependable rainfall and potential evapotranspiration. An MAI value of 1.00 indicates that dependable precipitation is equal to potential evapotranspiration. An MAI value of 0.33 or less for one month during the crop growing season is considered to be a signal of water deficit resulting reduction in crop yield. The findings of this study on MAI are used to decide the selection of the sowing period of crops so as to avoid water stress during the critical harvesting period.


MAUSAM ◽  
2021 ◽  
Vol 58 (3) ◽  
pp. 323-334
Author(s):  
N. VIVEKANANDAN ◽  
K. VISWANATHAN

Irrigation planning and scheduling are essential components of water management in irrigated agriculture. For this purpose, optimal allocation of land and water is required for optimization of cropping pattern under a set of limitations. In this paper, an attempt was made to optimize the cropping pattern for Barna irrigation project using Linear and Goal Programming (LP and GP) approaches. Three different objectives such as maximization of net return, protein and calorie values were considered for optimization of cropping pattern. The factors like amount of net return, values of protein and calorie, and quantum of water utilized for irrigation by LP and GP were considered for selection of best approach for optimization of cropping pattern for the project. The paper presents the methodology adopted in optimizing the cropping pattern using LP and GP approaches and the results obtained from the study. GP approach was found to be best for optimization of cropping pattern for the project.


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