Land use allocation based on interval multi-objective linear programming model: A case study of Pi County in Sichuan Province

2010 ◽  
Vol 20 (2) ◽  
pp. 176-183 ◽  
Author(s):  
Hongrui Wang ◽  
Yuanyuan Gao ◽  
Qiong Liu ◽  
Jinxi Song
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Programming Model ◽  
Sichuan Province ◽  
Linear Programming Model ◽  
Multi Objective ◽  
Land Use Allocation

Rational Land Planning Utilization Structure Optimization Based on Multi-Objective Linear Programming Model of Foshan

2012 ◽  
Vol 616-618 ◽  
pp. 1243-1248
Author(s):  
Hai Quan Yang ◽  
Jian Zhang ◽  
Zai Gui Yang
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Structural Optimization ◽  
Programming Model ◽  
Structure Optimization ◽  
Linear Programming Model ◽  
Land Planning ◽  
Multi Objective ◽  
Land Use Structure ◽  
Regional Land

Regional land use/cover change is one of the hot issues of the global research. Since the proposal of “land use/cover change” research program by the International Geosphere-Biosphere Program（IGBP）and International Human Dimensions Programme on Global Environmental Change（IHDP）in 1995, the research on the land use structure optimization has been increasingly important as the core issue of regional land use/cover change. The structural optimization of land use refers to the use of certain techniques and methods to make the regional future land use structure achieve the best economic, ecological and social benefits. Base on the multi-objective linear programming model and through the setting of 14 variables, this paper has proposed the land use structural optimization program for the rational land planning of Foshan, thus providing reference for the rational land planning of economically developed area.

scholarly journals USTED: a methodology for a quantitative analysis of land use scenarios

1995 ◽  
Vol 43 (1) ◽  
pp. 5-18 ◽  
Author(s):  
J.J. Stoorvogel ◽  
R.A. Schipper ◽  
D.M. Jansen
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Agricultural Land ◽  
Programming Model ◽  
Computer Software ◽  
Simulation Models ◽  
Linear Programming Model ◽  
Chemical Compositions ◽  
Attribute Data

Scenarios are a useful tool to study the effects of changes in the socio-economic and/or biophysical environment on agricultural land use. For the analysis of these scenarios an operational methodology, USTED, has been developed. The methodology is based on a linear programming model in combination with GIS, crop growth simulation models, and expert systems. The data requirements include quantitative descriptions of land use systems and technologies, attribute data on such features as prices and chemical compositions, and georeferenced data on farms and soils. Sustainability is incorporated in the methodology by a limited number of quantified sustainability parameters. The linear programming model analyses, on the basis of different farm types, the effect of different scenarios on land use. Customized computer software (MODUS) is used to integrate the different models. The methodology is illustrated with a case study for the Neguev settlement in the Atlantic Zone of Costa Rica.

Multiobjective Linear Programming Model as Applied to Regional Land-Use Planning

1977 ◽  
Vol 10 (8) ◽  
pp. 161-168
Author(s):  
Y. Nishikawa ◽  
Nobuo Sannomiya ◽  
M. Maeda ◽  
Teitaro Kitamura
Keyword(s):  
Land Use ◽  
Linear Programming ◽  
Land Use Planning ◽  
Programming Model ◽  
Linear Programming Model ◽  
Multiobjective Linear Programming ◽  
Regional Land

scholarly journals A Mixed Integer Linear Programming Model for the Optimization of Steel Waste Gases in Cogeneration: A Combined Coke Oven and Converter Gas Case Study

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3781
Author(s):  
Sergio García García ◽  
Vicente Rodríguez Montequín ◽  
Henar Morán Palacios ◽  
Adriano Mones Bayo
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Coke Oven ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model ◽  
Converter Gas

Off-gas is one of the by-products of the steelmaking process. Its potential energy can be transformed into heat and electricity by means of cogeneration. A case study using a coke oven and Linz–Donawitz converter gas is presented. This work addresses the gas allocation problem for a cogeneration system producing steam and electricity. In the studied facility, located in northern Spain, the annual production of the plant requires 95,000 MWh of electrical energy and 525,000 MWh of thermal energy. The installed electrical and thermal power is 20.4 MW and 81 MW, respectively. A mixed integer linear programming model is built to optimize gas allocation, thus maximizing its benefits. This model is applied to a 24-h scenario with real data from the plant, where gas allocation decision-making was performed by the plant operators. Application of the model generated profit in a scenario where there were losses, increasing benefits by 16.9%. A sensitivity analysis is also performed. The proposed model is useful not only from the perspective of daily plant operation but also as a tool to simulate different design scenarios, such as the capacity of gasholders.

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