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SATELLITE ASSESSMENT OF MISSISSIPPI RIVER PLUME VARIABILITY - CAUSES AND PREDICTABILITY

机译:密西西比河羽流变异性的卫星评估-原因和可预测性

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The Mississippi River is the largest river in North America and 6th largest worldwide in terms of discharge. In this study, 5 years (1989-1993) of NOAA Advanced Very High Resolution Radiometer satellite data were used to investigate the variability of the Mississippi River sediment plume and the environmental forcing factors responsible for its variability. Plume variability was determined by extracting information on plume area and plume length from 112 cloudl-free satellite images. Correlation and multiple regression techniques were used to quantify these relationships for possible predictive applications. River discharge and wind forcing were identifed as the main factors affecting plume variability. Seasonal and interannual variabilities in plume area were similar in magnitude and corresponded closely with large changes in river discharge. However, day-to-day variability in plume size and morphology was more closely associated with changes in the wind field. The plume parameters bst predicted by the multiple regression models were plume area, east and west of the delta. Predictive models were improved by separating the data into summer and winter seasons. The best predictive model for the western area was obtained during summer when 64% of plume variability was explained by river discharge, wind speed, and the east-west wind component. The best model for the eastern plume area was obtained during summer when river discharge, the north-south and east-west wind components explained 70% of plume variability. The best model for the offshore extent of the sediment plume was obtained during summer when 53% of plume variability was explained by the east-west wind component, river discharge, and wind speed. All plume measurements were maximized by eastward winds from slightly different directions. During winter, the area and length of the western plume was additionally enhanced by offshore winds associated with winter storms. Anticyclonic curvature of tile plume west of the delta was observed in 42% of the satellite images. This circulation pattern was observed primarily in association with westward winds. [References: 34]
机译:密西西比河是北美最大的河流,按流量计算,是世界第六大河流。在这项研究中,使用了5年(1989-1993年)的NOAA先进超高分辨率辐射计卫星数据来调查密西西比河沉积物羽流的变异性和造成其变异性的环境强迫因素。羽流变异性是通过从112个无云卫星图像中提取羽流面积和羽流长度的信息来确定的。相关性和多元回归技术用于量化这些关系,以进行可能的预测应用。确定河水排放和强迫风是影响羽流变异性的主要因素。羽流区域的季节和年际变化幅度相似,并且与河流流量的大变化密切相关。但是,羽流大小和形态的日常变化与风场的变化更为紧密相关。多元回归模型预测的羽流参数为三角洲东部和西部的羽流面积。通过将数据分为夏季和冬季,改进了预测模型。夏季获得了西部地区的最佳预测模型,其中通过河流流量,风速和东西向风分量解释了羽流变化的64%。东部羽流地区的最佳模型是在夏季河水排放时得到的,南北风和东西向风分量解释了羽流变异性的70%。在夏季,通过东西向风分量,河流流量和风速解释了53%的羽状变异性,从而获得了沉积物羽状近海范围的最佳模型。从略有不同的方向向东风使所有羽流测量值最大化。在冬季,与冬季风暴相关的海上风额外增加了西部羽流的面积和长度。在42%的卫星图像中观察到了三角洲以西的瓦羽的反气旋曲率。观察到这种循环模式主要与西风有关。 [参考:34]

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