黄河流域城市公园景观型湖泊时空演变与关联模式

Spatio-temporal pattern evolution and correlation type of urban park landscape lake in Yellow River Basin

选取1990年、2000年、2010年和2018年Landsat数据,采用标准差椭圆、核密度分析和空间自相关方法定量表征黄河流域城市公园景观型湖泊时空间格局演变特征与空间关联模式,为城市湖泊管理与布局优化提供数据支撑。结果表明:①近30年黄河流域城市公园景观型湖泊呈现逐渐增加态势,其中陕西省增长幅度最大,极差4.09%;②椭圆转角θ由109.25°变化为98.64°,空间分布存在明显的动态变化,中心轨迹为东北-西北-东北,整体向西北转移;③新增五处核密度较高值区,多处中等值区,空间分布逐渐突破胡焕庸线,表现出人口与城市公园景观型湖泊建设的空间耦合;④以2000年为分水岭,Moran's I统计表明城市公园景观型湖泊从随机分布向空间聚集格局演变,存在明显的空间依赖性和空间异质性。

Landsat data in 1990,2000,2010 and 2018 are selected to quantitatively characterize spatio-temporal pattern change and spatial autocorrelation of urban park landscape lakes in the Yellow River Basin by using standard deviation ellipse,kernel density analysis and spatial autocorrelation methods,so as to provide data support for urban lake management and layout optimization.Results indicate that:①In the past 30 years,urban park landscape lakes in the Yellow River Basin have shown a gradual increase,Shaanxi Province has the largest increase,with a range of 4.09%;②The ellipse turning angleθchanged from 109.25°to 98.64°,indicating that spatial distribution patterns have obvious dynamic changes.The center track is northeast-northwest-northeast,and shifts to northwest as a whole;③Five new areas with higher kernel density and many intermediate areas were added,and spatial distribution gradually break through the Hu Line,showing the spatial coupling between population and construction of urban park landscape lakes;④Taking 2000 as the watershed,Moran s I statistics show that urban park landscape lakes have evolved from random distribution to spatial aggregation pattern,with obvious spatial dependence and spatial heterogeneity.