环境模拟与评价中多变量空间结构模型及应用

Spatial multivariate structural analysis model and its application in environmental simulation and assessment.

为揭示环境模拟与环境评价中多变量空间变异规律 ,研究了多变量空间结构模型构建的基础理论 ,采用随机性与确定性相结合以及多变量相协同的处理方式 ,通过互变异函数计算、互变异函数理论模型最优拟合和检验 ,建立了环境模拟与评价多变量空间结构模型及多变量空间结构信息方向综合变异指标 ,探讨了其在环境模拟与环境评价变量空间变异性分析中的应用 .结果表明 :环境模拟与评价多变量空间结构模型能充分利用多元空间结构信息 ,弥补环境模拟与评价中主要变量环境监测数据的不足 ,揭示研究区环境模拟与评价多变量协同空间变异现象 .用经典环境统计方法及其特征值无法取得环境模拟与环境评价变量的空间结构信息 ,多变量空间结构信息方向综合变异指标 ,充分考虑了环境模拟与环境评价变量在空间不同方向上的变化幅度和变化速度 ,可以用于环境模拟与环境评价变量空间变化异向性评价 .

The spatial multivariate structural analysis model is studied herein to reveal the spatial multivariate coregionalizational phenomena in environmental simulation and assessment. Through the related calculation and test the comprehensive varation index is founded and its application to coregionalization spatial variability analysis is also discussed. The results show that above model could make full use of multivariate information and make up for the inadequacy on environmental monitoring data to reveal the variability phenomena in environmental simulation and assessment area. Comparing with the classical environmental statistics method, the orientation comprehensive varation index could obtain the spatial multivariate structure information on the environmental simulation and assessment variables to assess the variables spatial variability.