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Journal ArticleDOI

A multi-objective optimisation approach to water management.

TLDR
This approach is described by analyzing the conflicts that may arise between profitability, variable costs of production and pumping of groundwater for a hypothetical irrigation area by linking bio-economic objectives with the optimum use of all water resources under conflicting demands.
Abstract
The management of river basins is complex especially when decisions about environmental flows are considered in addition to those concerning urban and agricultural water demand. The solution to these complex decision problems requires the use of mathematical techniques that are formulated to take into account conflicting objectives. Many optimization models exist for water management systems but there is a knowledge gap in linking bio-economic objectives with the optimum use of all water resources under conflicting demands. The efficient operation and management of a network of nodes comprising storages, canals, river reaches and irrigation districts under environmental flow constraints is challenging. Minimization of risks associated with agricultural production requires accounting for uncertainty involved with climate, environmental policy and markets. Markets and economic criteria determine what crops farmers would like to grow with subsequent effect on water resources and the environment. Due to conflicts between multiple goal requirements and the competing water demands of different sectors, a multi-criteria decision-making (MCDM) framework was developed to analyze production targets under physical, biological, economic and environmental constraints. This approach is described by analyzing the conflicts that may arise between profitability, variable costs of production and pumping of groundwater for a hypothetical irrigation area.

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Citations
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Journal ArticleDOI

Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning

TL;DR: The study compares the results of two quantitative techniques in defining the extent of land-use zones at a large scale urban planning scenario and demonstrates that in the early stage of the planning process, simplified methods can be sufficient.
Book

Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management

TL;DR: Overall, this book presents a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods.
Journal ArticleDOI

Simulation–optimization modeling for conjunctive water use management

TL;DR: The reviews on the combined applications of simulation and optimization modeling for the conjunctive use planning and management of surface water and groundwater resources for sustainable irrigated agriculture are done and presented in this paper.
Journal ArticleDOI

Quantifying ecosystem service trade-offs: The case of an urban floodplain in Vienna, Austria

TL;DR: The research showed that pair-wise trade-off figures provided a useful means to elaborate and quantify the real trade-offs in wetland restoration and showed that the use of multi criteria decision analyses should be based on a participatory approach.
Journal ArticleDOI

Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops

TL;DR: In this article, an improved method of multi-criteria decision making for evaluating areas suitable for cultivation priority planning of maize, rape and soybean crops was proposed. But the results showed that the proposed method was not suitable for maize, rice and soybeans.
References
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Journal ArticleDOI

The application of the MCDM paradigm to the management of agricultural systems: Some basic considerations

TL;DR: A ‘state-of-the-art’ review of the general nature of the main multiple criteria decision making methods is provided and emphasises the theoretical and practical aspects of their use rather than the specific technicalities of individual techniques.
Journal ArticleDOI

A multiobjective decision support system for multiresource forest management

TL;DR: In this article, a multiobjective and/or multiperson decision support system for analyzing multi-source forest management problems is developed, which consists of five forest resources management objective functions to be maximized.
Journal ArticleDOI

Multiple Objectives in Agricultural Planning: A Compromise Programming Application

TL;DR: In this article, a real case involving the establishment of workers' cooperatives within an agrarian reform program in Andalusia (Spain) is studied, where the underlying problem is to find a compromise between the following objectives: employment, seasonal labor, and business profitability.
Journal ArticleDOI

Application of multiple criteria decision making methods to farm planning: A case study

TL;DR: In this article, three MCDM techniques: goal programming, multi-objective programming (MOP) and compromise programming (CP) are discussed in terms of their usefulness for practical farm planning.
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