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THE DISTRIBUTION CHARACTERISTICS OF AQUATIC ECOSYSTEM HEALTH IN NAKDONG RIVER BASINS BASED ON SPATIAL ANALYSIS

机译:基于空间分析的纳东河流域水生生态系统健康分布特征

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This study aims to analyze the trends and spatial distribution characteristics of aquatic ecosystem health in the nakdong river basin using the spatial autocorrelation. The distribution characteristics of the riparian habitat and physical-chemical factors that influence aquatic ecosystem are analyzed to provide information about the restoration through the ecological preservation. In situ data acquired between 2011 and 2013 are used to investigate and assess aquatic ecosystem health. In addition, in order to analyze the spatial distribution characteristics of the Nakdong River Basins health, Hotspot (Getis-Ord Gi,) and LISA (Local Indicator of Spatial Association) are utilized. According to the results of hotspot analysis for the aquatic ecosystem health of biological index, good health areas are indicated as the hotspot. These areas include the Andong dam, Wangpicheon, Imha dam. Coldspot areas include Nakdong Namhae, Nakdong downstream, Suyoung river basin. The results of LISA analysis are similar to the result of Hotspot analysis. But spatial outliers are shown in Gawha cheon, Hapcheon dam, upper Young river. These areas have a high biological health index, but the neighbor areas have a low biological health index. The spatial outliers areas need to be managed. The aquatic ecosystem health data can be used by analytical methods based on spatial information technology. The results of aquatic ecosystems based on the spatial analysis of the health data can be used to provide the information for river basin management.
机译:本研究旨在利用空间自相关分析水生生态系统健康的趋势和空间分布特征。分析了影响水生生态系统的河岸栖息地和物理化学因素的分布特征,以通过生态保存提供有关恢复的信息。在2011年和2013年之间获得的原位数据用于调查和评估水生生态系统健康。此外,为了分析Nakdong河流域健康的空间分布特征,利用热点(Getis-Ord Gi)和Lisa(空间关联的局部指标)。根据生物指数水生生态系统健康的热点分析结果,良好的健康区域被称为热点。这些地区包括安东尔大坝,王皮川,米哈大坝。冷带区包括Nakdong Namhae,Nakdong下游,Suyoung River盆地。 LISA分析的结果与热点分析的结果类似。但空间异常值显示在Gawha Cheon,Hapcheon大坝,上幼河。这些地区具有高生物健康指标,但邻近的生物健康指数具有低位。需要管理空间异常区。基于空间信息技术的分析方法可以使用水生生态系统健康数据。基于健康数据的空间分析的水生生态系统的结果可用于提供河流盆地管理的信息。

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