The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Iran. Thus, a Markovian approach based on two suit...

land use optimization using linear programing is a method in watershed management for access to production sustainability and decreasing of soil erosion. the sensitivity analysis of the model can with investigation of results influence form changes in input parameters, lead to decrease the uncertainty in decision-making of management programs. so in this research, linear programming model using...

In this study, an inexact stochastic fuzzy programming (ISFP) model is proposed for land-use allocation (LUA) and environmental/ecological planning at a watershed level, where uncertainties associated with land-use parameters, benefit functions, and environmental/ecological requirements are described as discrete intervals, probabilities and fuzzy sets. In this model, an interval stochastic fuzz...

optimization of land allocation in golestan province for planting agricultural crops using compromise mathematical programming introduction: rational planning and optimization of agriculture are essential because of water and land constraints, the need to increase economic profit and to reduce the negative impacts of fertilizers and pesticides. to this end, decision-makers and planners need to ...

The rural land use preferences of multiple agents are crucial for optimizing land-use allocation. Taking Guanlin Town, Yixing City, China as an example, this study analyzed the factors by effecting conversion probability, identified objectives and constraints within optimization allocation, simulated optimal allocation 2030 combining MAS with MOPSO procedure. results showed that decisions main ...

2 In this paper, we examine the applicability of spatial optimization as a generative modeling technique for sustainable land use allocation. Specifically, we test whether spatial optimization can be used to generate a number of compromise spatial alternatives that are both feasible and different from each other. We present a new spatial multiobjective optimization model, which encourages effic...

A genetic algorithm and a simulated annealing approach is presented for the guidance of a cellular automaton toward optimal configurations. The algorithm is applied to a problem of groundwater allocation in a rectangular area consisting of adjacent land blocks and modeled as a cellular automaton. The new algorithm is compared to a more conventional genetic algorithm and its efficiency is clearl...

ABSTRACT- Agricultural extension agents should provide dry land producers with appropriate education to make them more interested in learning about water use optimization. Therefore, it is recommended to accompany education with art. In this regard, a study, using the randomized experimental research design, was carried out among dry land grape producers in Herayjan village, Southwest Iran, usi...

land use optimization is one of the appropriate methods for soil conservation programs that allow watershed managers and decision makers to choose the best land use practices. with the objective of optimizing land use to minimize soil erosion, the present research was conducted in one of the taleghan sub-basins in iran, namely, orazan sub-basin, with an area of 2,706 ha. to achieve the objectiv...