【摘要】 为了定量评价区域地下水资源承载力的时空差异性,引入支持向量机分类模型,根据黑龙江省2008—2012年统计数据,8项评价指标作为输入向量,地下水资源承载力等级作为输出,通过模型仿真和优化,计算了黑龙江省5 a地下水资源承载力指数,结果表明:黑龙江省地下水资源承载力总体呈现下降趋势;2012年,西北林区地下水资源承载力较强,东南粮食主产区地下水资源承载力水平中等,西南地区地下水资源承载力较弱。研究成果对于指导黑龙江省科学合理的利用地下水资源具有一定的理论和实践意义。更多还原

【Abstract】 In order to evaluate quantitatively the temporal and spatial differences on groundwater bearing capacity in the area,the classification models of support vector machine are introduced to calculate the indexes of groundwater bearing capacity for Heilongjiang Province in five years based on statistical data from 2008 to 2012 in Heilongjiang Province,meanwhile,8 evaluated indexes act as input vectors,the grades of groundwater bearing capacity act as output vectors,and the models are simulated and optimized. The results show that groundwater bearing capacity in Heilongjiang Province is in the tendency of decreasing generally; the groundwater bearing capacity was strong in northwestern forestry land,medium in southeastern grain production area,and weak in southwestern in 2012. The research has a certain theoretical and practical significance in guiding the scientific and reasonable use for groundwater resources in Heilongjiang Province.更多还原