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首页> 外文期刊>Journal of water resource and protection >Assessment of a Non-Optical Water Quality Property Using Space-Based Imagery in Egyptian Coastal Lake
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Assessment of a Non-Optical Water Quality Property Using Space-Based Imagery in Egyptian Coastal Lake

机译：埃及沿海湖泊空间图像评估非光学水质特性

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Progressively anthropogenic intrusion and increasing water demand necessitate frequent water quality monitoring for sustainability management. Unlike laborious, time consuming field-based measurements, remote sensing-based water quality retrieval proved promising to overcome difficulties with temporal and spatial coverage. However, remotely estimated water quality parameters are mostly related to visibility characteristic and optically active property of water. This study presents results of an investigated approach to derive oxygen-related water quality parameter, namely Dissolved Oxygen (DO), in a shallow inland water body from satellite imagery. The approach deduces DO levels based on interrelated optical properties that dictate oxygen consumption and release in waters. Comparative analysis of multiple regression algorithms was carried out, using various combinations of parameters; namely, Turbidity, Total Suspended Solids (TSS), Chlorophyll-a, and Temperature. To cover the wide range of conditions that is experienced by Edku coastal lake, ground truth measurements covering the four seasons were used with corresponding satellite imageries. While results show successful statistically significant correlation in certain combinations considered, yet optimal results were concluded with Turbidity and natural logarithm of temperature. The algorithm model was developed with summer and fall data (R~2 0.79), then validated with winter and spring data (R~2 0.67). Retrieved DO concentrations highlighted the variability in pollution degree and zonation nature within that coastal lake, as related to boundary interactions and irregularity in flow dynamics within. The approach presented in this study encourages expanded applications with space-based earth observation products for exploring non-detectable water quality parameters that are interlinked with optically active properties in water.
机译：逐步的人为入侵和增加的水需求需要频繁的可持续性管理水质监测。与费力，耗时的基于场的测量不同，遥感的水质检索证明有希望克服时间和空间覆盖率的困难。然而，远程估计的水质参数大多数与水的可见性和光学活性性质相关。本研究提出了研究源于氧气相关水质参数的研究方法，即溶解氧气（DO），从卫星图像中的浅内水体中溶解氧气。该方法根据相互关联的光学性质推导氧气消耗和水中释放的相互关联的光学性能。使用各种参数组合进行多元回归算法的比较分析;即，浊度，总悬浮固体（TSS），叶绿素-A和温度。为了涵盖埃克苏沿岸湖泊经历的广泛条件，覆盖四季的地面真理测量与相应的卫星成像仪一起使用。结果表明，在考虑的某些组合中表现出成功的统计学相关性，但是通过温度浊度和天然对数结论了最佳结果。算法模型是用夏季和秋季数据（R〜2 0.79）开发的，然后用冬季和弹簧数据验证（R〜2 0.67）。检索到的浓度突出了该沿海湖泊内的污染程度和区分性质的可变性，与流动动力学中的边界相互作用和不规则相关。本研究介绍的方法促进了扩展的应用与基于空间的地球观察产品，用于探索与水中光学活性性质相互连接的无可检测的水质参数。

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