scholarly journals Optimal allocation of land and water resources in irrigated agriculture by means of Goal Programming: Application in Loudias River Basin

2013 ◽  
Vol 7 (3) ◽  
pp. 264-273
Keyword(s):  
Water Resources ◽  
Decision Analysis ◽  
River Basin ◽  
Goal Programming ◽  
Agricultural Policy ◽  
Optimal Allocation ◽  
Crop Productivity ◽  
Irrigated Agriculture ◽  
Environmental Goals ◽  
Policy Scenarios

Agriculture is an economic activity that contributes significantly to the gross national product of a country, securing at the same time the viability of the rural sector and the social coherence. On the other hand, it can generate an environmental externality, especially concerning water resources that, in the name of higher crop productivity, are often overexploited or polluted. Most agricultural decision analysis studies are primarily focusing on farmers’ welfare optimization. Therefore, this externality is only examined as a negative environmental effect of different farming and agricultural policy scenarios. However, a proper decision analysis in the field of agricultural policy should be guided by the goal of finding a unique “optimal” solution out of a great number of possible alternatives that arise from a complex integrated socio-economic and environmental system, which incorporates significant conflicted interests. The main objective of this paper is to create, apply and evaluate a model that aims at the simultaneous maximization of farmer’s welfare and the minimization of the consequent environmental burden. More specifically, weighted and lexicographic goal programming techniques are employed. These techniques are implemented on a representative area in the Loudias River Basin in Greece to seek for a compromising solution - in terms of area and water allocation (under different crops) - resulting in figures that will come as close as possible to the decision maker’s economic, social and environmental goals. The information that is incorporated into the selected goals includes farmers’ welfare, characterized by securing income and employment levels, as well as environmental benefits, such as water resources protection from excessive application of fertilizers and from unsustainable use of irrigation water. Several weights or priority levels can be assigned on these goals, according to the intentions of the decision maker, that are likely to differentiate the final allocation of resources. Hence, the analysis is undertaken under different policy scenarios (e.g. environmental friendly, farmers’ friendly and compromising scenarios) and the results are well elucidated. In addition, it is further examined the different final outcome that may arise when the targets of the various economic and environmental goals are relaxed in order to reduce the information bias from the decision maker as well as to better perceive the indirect relationship between some competitive goals.

Establishing and Application of Ecology-Oriented Water Resources Optimal Allocation Model in Chanba River Basin

2012 ◽  
Vol 518-523 ◽  
pp. 4165-4170
Author(s):  
Xiao Yu Song ◽  
Huai You Li ◽  
Wen Juan Shi
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Sustainable Use ◽  
Optimization Theory ◽  
Model Parameters ◽  
Allocation Model ◽  
Optimal Allocation Model ◽  
Water Resources Optimal Allocation

In this paper, based on the fact of water resources shortage, environmental degradation in Chanba River basin, using multi-objective optimization theory, we established the ecology-oriented water resources optimal allocation model and achieved the coupling between water quantity and quality. According to supply and demand of water resources in two levels of years (2020, 2030) and the guaranteed rate 75%, developed model parameters (coefficients), called the optimization function to solve it. The model is applied to Chanba River basin, indicating that the model is reasonable, efficient algorithms The optimal allocation model and the results reflect the concept of sustainable development for ecological, economic efficiency and help to improve water supply reliability, the sustainable use of water resources planning and management provides a basis for decision making.

scholarly journals The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

2021 ◽  
Author(s):  
Hang Li ◽  
Xiao-Ning Qu ◽  
Jie Tao ◽  
Chang-Hong Hu ◽  
Qi-Ting Zuo
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Basin ◽  
Water Conservation ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Allocation Model ◽  
Water Supply And Demand ◽  
Ecological Objectives

Abstract China is actively exploring water resources management considering ecological priorities. The Shaying River Basin (Henan Section) serves as an important grain production base in China. However, conflicts for water between humans and the environment are becoming increasingly prominent. The present study analyzed the optimal allocation of water while considering ecological priorities in the Shaying River Basin (Henan Section). The ecological water demand was calculated by the Tennant and the representative station methods; then, based on the predicted water supply and demand in 2030, an optimal allocation model was established, giving priority to meeting ecological objectives while including social and comprehensive economic benefit objectives. After solving the model, the optimal results of three established schemes were obtained. This revealed that scheme 1 and scheme 2 failed to satisfy the water demand of the study area in 2030 by only the current conditions and strengthening water conservation, respectively. Scheme 3 was the best scheme, which could balance the water supply and demand by adding new water supply based on strengthening water conservation and maximizing the benefits. Therefore, the actual water allocation in 2030 is forecast to be 7.514 billion (7.514 × 109) m3. This study could help basin water management departments deal with water use and supply.

Water management and irrigated agriculture in Italy: multicriteria analysis of alternative policy scenarios

Water Policy ◽  
2009 ◽  
Vol 12 (1) ◽  
pp. 135-147 ◽  
Author(s):  
F. Bartolini ◽  
V. Gallerani ◽  
M. Raggi ◽  
D. Viaggi
Keyword(s):  
Water Management ◽  
Agricultural Policy ◽  
Multicriteria Analysis ◽  
Environmental Water ◽  
Point Of View ◽  
Irrigated Agriculture ◽  
Water Institutions ◽  
The Common ◽  
Support Policy ◽  
Policy Scenarios

Irrigated agriculture in Europe is facing major changes, due to the reforms of the Common Agricultural Policy and the coming into force of the new Water Framework Directive (60/2000). The objective of this paper is to evaluate the perceived outcome of different scenarios from the point of view of different stakeholders, as an instrument to support policy in the sector of irrigated farming. The methodology is based on the multicriteria analysis of water and agricultural policy scenarios and is applied in five study areas in Italy. The pay-offs for different stakeholders differ greatly between scenarios. Basic contrasts between farmer-related and environmental/water institutions are emphasised when facing different futures. This shows that greater coordination is necessary to provide consistent policies and appropriate incentives to farmers.

scholarly journals Comprehensive evaluation of water resources security in the Yellow River basin based on a fuzzy multi-attribute decision analysis approach

2014 ◽  
Vol 18 (5) ◽  
pp. 1605-1623 ◽  
Author(s):  
K. K. Liu ◽  
C. H. Li ◽  
Y. P. Cai ◽  
M. Xu ◽  
X. H. Xia
Keyword(s):  
Water Resources ◽  
Decision Analysis ◽  
River Basin ◽  
Comprehensive Evaluation ◽  
Yellow River ◽  
Evaluation Model ◽  
Yellow River Basin ◽  
Analysis Approach ◽  
The Yellow River ◽  
The Yellow River Basin

Abstract. In this paper, a fuzzy multi-attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left–right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi-attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA), weighted product (WP), cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco-environment statuses in the above-mentioned provinces should be prioritized in the future planning of the Yellow River basin.

scholarly journals Optimization of multi-objective cropping pattern using linear and goal programming approaches

MAUSAM ◽  
2021 ◽  
Vol 58 (3) ◽  
pp. 323-334
Author(s):  
N. VIVEKANANDAN ◽  
K. VISWANATHAN
Keyword(s):  
Goal Programming ◽  
Optimal Allocation ◽  
Irrigated Agriculture ◽  
Cropping Pattern ◽  
Irrigation Planning ◽  
Planning And Scheduling ◽  
Net Return ◽  
Irrigation Project ◽  
Essential Components ◽  
Selection Of

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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