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Remote sensing and landscape analysis of indicators of estuarine condition in the northeastern United States.

机译:美国东北部河口状况指标的遥感和景观分析。

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I focused on four questions: (1) are measures of estuarine water quality the same across study regions; (2) are spatial setting variables and intense rainfall events important in explaining variation in water quality measures; (3) what is the relationship between patterns of land cover and estuarine condition; and (4) is land-cover change a good regional indicator of estuarine condition? Estuarine data was extracted from the Environmental Monitoring and Assessment Program (EMAP) and Coastal-2000 surveys. Geographical Information System's modeling, land cover change detection, cumulative distribution functions and multiple linear regression analyses were used to quantify land-water interactions in three regions representing urban and agricultural gradients along the Virginian Biogeographic Province in the eastern coast of the United States. Spatial setting variables (riverine, lagoonal, oceanic) plus rainfall accounted for the effect of location on measurements of estuarine condition. After removing spatial setting effect from estuarine condition data, weak but significant relationships were found between total urban area (within a 4-km buffer from measuring stations) and water quality indicators for the three regions. The effect of spatial setting on indicators of estuarine condition was strikingly high in Delmarva, where distance-to-shore, and oceanic and riverine categories significantly explained variability of sediment organics (Fluorant: R2 = 0.79; P 0.001; Dieldrin: R2 = 0.91; P 0.001; PCBs: R2 = 0.96; P 0.001). Lagoonal locations also had a significant negative effect on arsenic, cadmium, and lead, and explained between 32 to 53% of their variation. Land-cover change on estuarine condition on each region showed clear differences in patterns between Delmarva and the other two areas during the 1984–92 period. In Delmarva, land cover change in buffer zones 6-, 8-, and 10-km from monitoring stations had a significant effect on the Benthic Index, silver, arsenic, cadmium, and mercury. In Cape Cod, land cover change in the same buffer zones explained approximately 15% of the variation in PAHs, dissolved oxygen, and silver. There was no effect of land cover change between 1992–99 in estuarine condition in Cape Cod and Delmarva, and significant effect (R2 = 0.38; P 0.05) in the Hudson/Raritan region.
机译:我专注于四个问题:(1)在研究区域之间对河口水质的测量是否相同; (2)空间设置变量和强降雨事件对于解释水质度量的变化很重要; (3)土地覆盖格局与河口状况之间的关系是什么; (4)土地覆盖变化是否是河口状况的良好区域指标?河口数据是从环境监测与评估计划(EMAP)和Coastal-2000调查中提取的。地理信息系统的建模,土地覆被变化检测,累积分布函数和多元线性回归分析用于量化代表美国东部沿海弗吉尼亚州生物地理省沿城市和农业梯度的三个区域中的土地-水相互作用。空间设置变量(河流,泻湖,海洋)加上降雨说明了位置对河口条件测量的影响。从河口状况数据中删除空间设置影响后,发现三个地区的城市总面积(距测量站有4公里的缓冲区内)与水质指标之间存在微弱但重要的关系。在德尔马瓦,空间设置对河口状况指标的影响非常显着,其中到岸的距离以及海洋和河流类别显着解释了沉积物有机物的变异性(流动性:R 2 = 0.79; P <0.001;狄氏剂:R 2 = 0.91; P <0.001; PCBs:R 2 = 0.96; P <0.001)。泻湖的位置对砷,镉和铅也有明显的负面影响,并解释了其变化的32%至53%。在1984-92年期间,每个地区河口条件的土地覆盖变化显示了Delmarva与其他两个地区之间模式的明显差异。在德尔马瓦(Delmarva),距监测站6、8和10公里的缓冲区的土地覆盖变化对底栖生物指数,银,砷,镉和汞有重大影响。在科德角,相同缓冲区的土地覆盖变化解释了PAH,溶解氧和银的变化的大约15%。在鳕鱼角和德尔马瓦的河口条件下,1992-99年之间的土地覆被变化没有影响,而在哈德森/拉里坦地区,显着影响(R 2 = 0.38; P <0.05)。

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