基于空间自相关分析的安徽省水资源生态压力空间格局探析
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安徽省科技厅2016年软科学项目(1607a0202061)


Study of spatial pattern of water resources ecological pressure in Anhui Province based on spatial autocorrelation analysis
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    摘要:

    为探索安徽省各地级市水资源生态压力空间关联格局,制定差别化水资源可持续利用政策,运用生态足迹压力测度模型,对安徽省16个地级市水资源生态压力进行了测算,采用空间自相关分析方法,对水资源生态压力空间关联模式进行了考察。结果表明:(1)2014年安徽省16个地市水资源生态压力指数介于1.05~3.82,均值达1.89;(2)水资源生态压力全局自相关Moran指数为-0.115 3,呈不显著空间异质格局,其中,位于皖南的黄山、池州、宣城及皖西南的安庆4市水资源生态压力小,而淮南、马鞍山、铜陵三市压力大;(3)局部空间自相关Moran指数散点图显示,位于第二(LH)、第四(HL)象限的地市有13个,而位于第一(HH)、第三(LL)象限的仅有3个,滁州市局部空间自相关指数为-0.293 7,为显著低值异质中心,黄山市该指数为0.961 5,为显著低值聚集中心。基于研究结果,提出了差别化的水资源可持续利用政策建议。

    Abstract:

    To explore the spatial correlation patterns of water resources ecological pressure for prefecture-level cities of Anhui Province for the development of policies regarding differentiated sustainable utilization of water resources, the ecological footprint pressure measurement model was used to calculate the water resources ecological pressure for 16 prefecture-level cities of Anhui Province, and the spatial autocorrelation analysis method was used to investigate the spatial correlation patterns of water resources ecological pressure. The results are as follows: (1)In 2014, the water resource ecological pressure indices for the 16 prefecture-level cities in Anhui Province ranged from 1. 05 to 3. 82, with a mean value being 1. 89. (2)Moran’s I index of global autocorrelation of water resources ecological pressure was-0. 1153, showing a pattern of insignificant spatial heterogeneity. Four cities, i. e. , Huangshan, Chizhou, Xuancheng in southern Anhui Province, and Anqing in southwestern Anhui Province, had low water resources ecological pressure, while three cities, i. e. , Huainan, Ma’anshan, and Tongling, had high water resources ecological pressure. (3)Moran’s I scatter plot of local spatial autocorrelation indicates that 13 prefecture-level cities were located in the second(LH)and fourth(HL)quadrants, while only three cities were located in the first(HH)and third(LL)quadrants, of which Chuzhou had a LISA index of-0. 2937 and was a significantly low-heterogeneity center, and Huangshan had a LISA index of 0. 9615 and was a significantly low-value gathering center. Based on these results, differentiated policies and suggestions were proposed for sustainable utilization of water resources.

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张乐勤,方宇媛.基于空间自相关分析的安徽省水资源生态压力空间格局探析[J].水资源保护,2017,33(1):24-29.(ZHANG Leqin, FANG Yuyuan. Study of spatial pattern of water resources ecological pressure in Anhui Province based on spatial autocorrelation analysis[J]. Water Resources Protection,2017,33(1):24-29.(in Chinese))

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  • 收稿日期:2016-05-15
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  • 在线发布日期: 2017-01-23
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