CAJ | 학술논문

引入地学统计学中的空间数据分析方法，利用探索性分析、全局空间自相关和局部空间自相关分析对渤海湾赤潮爆发前后的遥感叶绿素浓度数据进行了研究。结果表明，渤海湾叶绿素浓度在相邻空间位置上具有高度的正空间自相关性；赤潮前渤海湾叶绿素浓度整体较低，但局部地区的叶绿素浓度表现出较大的上升随后几天又出现下降的异常现象；叶绿素浓度的全局空间自相关指数Moran's I值在赤潮爆发前变化幅度不大，在赤潮期间表现出一些不规则的异常变化；局部Moran's I的高-高型聚集在赤潮前主要分布在渤海湾南半部，赤潮期间出现分散并逐步转移到离岸区域，赤潮后期聚集在近岸区域。分析了其中的一些变化特征及异常情况，这些异常现象有可能是赤潮发生的预兆性信号，可为赤潮预报与应急提供一种新的尝试性模式。
인입지학통계학중적공간수거분석방법，이용탐색성분석、전국공간자상관화국부공간자상관분석대발해만적조폭발전후적요감협록소농도수거진행료연구。결과표명，발해만협록소농도재상린공간위치상구유고도적정공간자상관성；적조전발해만협록소농도정체교저，단국부지구적협록소농도표현출교대적상승수후궤천우출현하강적이상현상；협록소농도적전국공간자상관지수Moran's I치재적조폭발전변화폭도불대，재적조기간표현출일사불규칙적이상변화；국부Moran's I적고-고형취집재적조전주요분포재발해만남반부，적조기간출현분산병축보전이도리안구역，적조후기취집재근안구역。분석료기중적일사변화특정급이상정황，저사이상현상유가능시적조발생적예조성신호，가위적조예보여응급제공일충신적상시성모식。
In this paper, space data analysis methods of geo-statistics were introduced, and through the exploratory analysis, global spatial autocorrelation, and local spatial autocorrelation analysis, the remote sensing chlorophyll concentration of red tide in the Bohai Bay were studied during pre-bloom, bloom and post consequences of the bloom. The results showed that:a) chlorophyll concentration in the Bohai Bay had a high positive spatial autocorrelation with adjacent spaces; b)chlorophyll concentrations in the Bohai Bay was relatively low during pre-bloom, but the chlorophyll concentration in some areas showed the abnormal phenomenon, i.e. a greater rise at the beginning and a decline phenomenon in the next few days;c)global spa-tial autocorrelation index Moran's I value of chlorophyll concentration changed slightly before the outbreak of the red tide, and some irregular abnormal changes appeared during the red tide period;d)local Moran's I high- high type gathered was mainly distributed in the southern half of the Bohai Bay during pre-bloom, dispersed and gradually transferred to the offshore area during bloom, and gathered in the coastal area during post consequences of the bloom. In this paper, some characteristics of the abnormal situation were analyzed. These abnormal phenomena are likely to be the harbinger signal of the red tide oc-currence, which will provide a new attempt model for the prediction of red tide and emergency.