Territorial function optimization regionalization based on the integration of “Double Evaluation”

As the scientific basis for constructing the basic strategic structures of territorial land space and implementing functional zoning, the "Double Evaluation"(i.e. resources and environmental carrying capacity and territorial development suitability evaluation) provides a series of important parameters for the downscaling of the major function zoning, the optimization of the spatial structure, and the intensity control of the land development. Based on territorial function theory, this paper explores the theoretical connotation of "Double Evaluation" from the evolution of human-land relationship, establishes the scientific logic of "Double Evaluation" to territorial function optimization, and points out that the major function regionalization scheme from "Double Evaluation" comprehensive integration that realizes the comprehensive benefit maximization is the optimal result of territorial function optimization. Taking Fujian province and Liupanshui city as two cases, we transform the rational demand of human production and living activities into the demand control parameters of land use. Combined with the superior planning and the government and expert system, we determine the critical target parameters, including the total control parameters, structural control parameters, spatial structure or strategic pattern control parameters, through the parameter decomposition and measurement of downscaling. By adjusting the indicators, parameters and thresholds, the gird cell territorial function optimization is continuously carried out, and the grid cell territorial function optimization regionalization schemes under different scenarios is obtained. Then continuous evaluation, check and optimization are carried out by the comparison with the planning of major function zones, land use status, neighboring areas, the construction needs of regional development and spatial strategy, as well as the relationship between land and sea. Given the influence of the uncertainty of available data, the adaptability of the data set to the