基于高分辨率卫星影像的韩国海岸线环境富营养化状况评估

M. Iqbal, Tehmena Rashid, Saddam Hussain, Muhammad Umer Nadeem, M. Waqas, M. Amin, M. N. Anjum
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摘要

类人猿活动严重改变了自然土地覆盖,增加了土壤、有机和无机化合物、营养物质、有毒化学物质和其他污染物向水生态系统的输送。沿海水环境的富营养化是人类活动造成的最严重的后果之一。在这项研究中,我们使用三种不同的卫星图像对韩国Boseong县沿海地区的有效土地利用土地覆盖(LULC)进行分类、比较和进一步的沿海水质评估。LULC分类结果表明,Landsat-8、Sentinel-2和WorldView-3的总体精度分别为74%、82%和96%,Kappa系数分别为0.71、0.78和0.91。通过比较LULC精度和kappa系数,非常高分辨率的Worldview-3卫星图像被认为是最适合水质评估的卫星图像之一。该研究使用了最近开发的算法来计算Secchi深度透明度、叶绿素-a浓度、总磷和总氮;而沿海水域的富营养化状况已使用卡尔森营养状态指数(CTSI)方法确定。结果表明,富营养化的中等状态发生在农区和城市居民点附近。总体而言,沿海水体的营养状况在61.56 ~ 74.37之间,平均值为65.63 (CTSI),处于中等富营养化状态。该研究分析说,来自周围土地覆盖的养分入口很高,在释放到沿海生态系统之前需要适当的水处理。因此,这些调查将有助于各种地方和国际机构提高富营养化状态、动态和潜在影响监测的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eutrophic Status Assessment Based on Very High-Resolution Satellite Imagery in the Coastline Environment of Korea
Anthropoid activities are severely altering natural land cover and growing the transport of soil, organic and inorganic compounds, nutrients, toxic chemicals, and other pollutants to the water ecosystem. The eutrophication of the coastal water environment is one of the furthermost bitter consequences of human activities. In this research, we have used three different satellite images for efficient land-use land-cover (LULC) classification, comparison, and further coastal water quality assessment over the coastal zone of the Boseong County of South Korea. The results of LULC classification showed that Landsat-8, Sentinel-2, and WorldView-3 gave an overall accuracy of about 74%, 82%, and 96% with Kappa coefficient of 0.71, 0.78, and 0.91, respectively. By comparing, LULC accuracies and kappa coefficient, the very high-resolution Worldview-3 satellite imagery is considered one of the best-suited satellite imageries for water quality assessment. The study used recently developed algorithms for the calculation of the transparency of Secchi depth, concentration of Chlorophyll-a, Total Phosphorus, and Total Nitrogen; whereas the eutrophication status of the coastal water has been identified using the Carlson Trophic State Index (CTSI) method. The result show that the medium state of eutrophication occurred nearby agricultural regions and urban settlements. Overall, trophic status of the coastal water is ranged from 61.56 to 74.37 with a mean value of 65.63 (CTSI) and placed under the medium eutrophic state. The study analysed that the nutrient entrance from the surrounding land cover is high and needs proper water treatment before releasing into a coastal ecosystem. Hence, these investigations will assist the various local and international agencies in improving the reliability of the monitoring of eutrophication state, dynamics, and potential impacts.
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