A Study On Technical Method Of Sustainable Land-Use Programming

Sustainable land-use programming can be defined as a process of determining social, economic and ecological multi-objective and managing to coordinate them. It is requested that the programming approaches and methods get improved and innovated for the sake of embodying sustainable land-use concept in the programming.Sustainable land-use programming emphasizes making land satisfy need of whole economic development, instead of those practices similar to plantation safeguard or section project, making land utility efficiency maximize. The correlation analysis between economic development and land-use would be performed to open out the internal logic between economic growth and industry land-use provided this target is asked for. Thus, the forecast method and process for land-use based on economic growth was probed into in this paper.The correlation analysis between ecological evolvement and land-use configuration is a committed step of bringing ecological objective into programming. A set of thinking manner and working process was suggested in this paper. Namely, through building up model between land-use configuration and ecological environment impact, based on ecological subarea in which the issues of ecological security could be diagnosed, the quantitative relation derived from the same is employed as decision variable and constrained condition in structural optimization for land-use model.The main task of land-use programming would be to search optimal or well-pleasing decision scheme of land-use under the conditions of according with regional condition. Limited by traditional math means, whole optimizing from those multi-objective issues characterized with bad commensurability and conflict one another is rather unsuccessful.A decision-analysis method of genetic algorithm + multi-objective fuzzy dynamic optimum was set. Its process can be described as followings:â‘ Solve pareto disaggregate with inherent parallel optimize mechanism of genetic algorithm for each period of time;â‘¡Perform multi-objective fuzzy dynamic optimum operation to pareto disaggregate in each period of time, eventually gaining the sequence of global optimize decision-making scheme.The uncertainty of land-use programming is derived from that of future requirement of land amount, and the latter from that of forecast of social and economic growth and changes, including population, consume requirement, economic and rebirth industry. All uncertainty could be effectively dealt with by introducing blind math method into traditional forecast model. Furthermore, since the forecast model based on the blind math can generate multiple predicted values under different confidence level, two set of adjustable variable values corresponding to both extreme point values of prediction interval can easily be gained, composing elasticity adjustable range.