基于MODIS影像的秦皇岛近岸海域营养盐浓度反演研究

发布时间：2018-04-16 16:02

本文选题：MODIS + 秦皇岛海域　；参考：《辽宁师范大学》2015年硕士论文

【摘要】：营养盐是表征海水水质的重要化学指标,监测营养盐浓度变化对于海洋环境保护具有重要意义。我国经过几十年的经济快速发展,国家的综合实力及人民生活水平得到了大大提高,但不容忽视的环境问题已经在阻碍经济发展,影响人们的日常生活。沿海区域的工业废水、生活污水及沿岸径流携带的大量污染物质入海,导致近岸水体的水质恶化、生态灾害频发。常规的海洋水质监测工作面临挑战。传统的定点采样监测需要大量的人力、物力和财力,且在规模、范围及频度上都非常有限。遥感大面积同步观测、时效性强等诸多特点,弥补了常规监测手段的不足,使用遥感监测及时掌握水质变化动态是实现海水水质客观评价、科学治理的基础与依据。本文以秦皇岛近岸海域为研究区,以2014年7~8月六个航次的现场光谱数据、营养盐实测数据及同期的MODIS L1B影像数据为实验数据。使用实测光谱模拟MODIS的光谱反射率,通过Pearson相关性分析筛选出相关系数较高的波段或波段组合作为特征因子。通过线性回归分析的方法分别建立基于MODIS影像的营养盐浓度反演模型,经过精度对比分析,确定各项营养盐的最佳遥感反演模型。最终将所建立模型应用于MODIS影像,实现秦皇岛近岸海域水体营养盐浓度的反演,影像的反演结果能够反映该海域营养盐浓度的分布状况。研究结果可实现通过MODIS影像对秦皇岛海域的营养盐进行实时监测,为降低监测成本、合理评价秦皇岛近岸海域水质和海洋环境保障工作提供依据。同时也为后续的相关研究提供借鉴和参考。
[Abstract]:Nutrient salt is an important chemical index to characterize the water quality of sea water. It is very important to monitor the change of nutrient concentration for marine environmental protection.After decades of rapid economic development, the country's comprehensive strength and people's living standards have been greatly improved, but the environmental problems that can not be ignored have hindered economic development and affected people's daily life.Industrial wastewater, domestic sewage and a large amount of pollutants carried by coastal runoff into the sea lead to the deterioration of water quality and frequent ecological disasters.Conventional marine water quality monitoring is facing challenges.Traditional fixed-point sampling and monitoring requires a lot of manpower, material and financial resources, and is very limited in scale, scope and frequency.Many characteristics of remote sensing, such as large area synchronous observation, strong timeliness and so on, make up for the deficiency of conventional monitoring means. It is the basis and basis for realizing objective evaluation and scientific management of seawater water quality to use remote sensing monitoring to grasp the change of water quality in time.In this paper, the inshore area of Qinhuangdao is used as the study area, the field spectral data of six voyages from July to August 2014, the measured data of nutrients and the MODIS L1B image data of the same period are taken as experimental data.The spectral reflectance of MODIS was simulated by the measured spectra, and the band or band combination with high correlation coefficient was selected by Pearson correlation analysis as the characteristic factor.The inversion model of nutrient concentration based on MODIS image was established by linear regression analysis, and the best remote sensing inversion model of each nutrient was determined by comparing and analyzing the precision.Finally, the established model is applied to MODIS image to realize the inversion of nutrient concentration in the coastal waters of Qinhuangdao. The inversion result of the image can reflect the distribution of nutrient concentration in the sea area.The results show that the real-time monitoring of nutrients in Qinhuangdao sea area can be realized by MODIS image, which provides the basis for reducing the monitoring cost and rationally evaluating the water quality and marine environmental protection work in the coastal waters of Qinhuangdao.At the same time, it also provides reference and reference for further related research.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X834

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