什么时候退潮?潮汐对河口海洋色彩应用的重要性

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Giulia Sent , Carlos Antunes , Evangelos Spyrakos , Thomas Jackson , Elizabeth C. Atwood , Ana C. Brito
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引用次数: 0

摘要

潮汐可以在过渡水动力学中发挥重要作用,是水参数波动的主要驱动因素。在过去十年中,遥感方法已成为在相对高的空间和时间尺度上进行具有成本效益的系统观测的一种流行工具。然而,潮汐的存在带来了复杂性,因为太阳同步卫星将在每个立交桥上观察不同的潮汐情况,有效地混淆了每日信号。当使用遥感数据监测受潮汐支配的系统时,这可能造成不明显的偏差,可能导致对模式的误解和对周期性的不正确估计。在这项工作中,我们使用了6年sentinel -2衍生的浊度数据集来评估潮汐混叠对太阳同步卫星在潮汐主导系统(葡萄牙塔霍斯河口)适用性的影响。每一次卫星观测都是根据潮汐相位进行分类的。结果表明,潮汐过程在季节变化中占主导地位,不同潮汐阶段的浊度水平之间存在显著差异(p <;0.0001)。气候学分析也揭示了所有数据和每潮期数据之间的显著变化(p <;0.001),突出了按潮汐情况对卫星数据进行分类的重要性。此外,每个Sentinel-2立交桥的潮汐状况标签显示,并非所有的潮汐情况都是由太阳同步卫星观测到的,因为在大潮期间总是观测到低潮和洪水,而在小潮期间观测到高潮和退潮。与所有其他潮汐条件相比,春季低潮的代表性过高。这一结果与基于潮汐主导系统的遥感数据的水质监测特别相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

What time is the tide? The importance of tides for ocean colour applications to estuaries

What time is the tide? The importance of tides for ocean colour applications to estuaries
Tides can play a major role in transitional water dynamics, being the primary driver of fluctuations in water parameters. In the last decade, remote sensing methods have become a popular tool for cost-effective systematic observations, at relatively high spatial and temporal scales. However, the presence of tides introduces complexities, given that Sun-synchronous satellites will observe a different tidal condition at each overpass, effectively aliasing the daily signal. This can create non-obvious biases when using remote sensing data for monitoring tidally-dominated systems, potentially leading to misinterpretation of patterns and incorrect estimates of periodicities. In this work, we used a six-year Sentinel-2-derived turbidity dataset to evaluate the impact of tidal aliasing on the applicability of a Sun-synchronous satellite to a tidally-dominated system (Tagus estuary, Portugal). Each satellite observation was classified according to tidal phase. Results indicate that tidal processes dominated over seasonal variability, with significant differences observed between turbidity levels of different tidal phases (p < 0.0001). Climatology analyses also revealed significant changes between all-data and per-tidal-phase data (p < 0.001), highlighting the importance of classifying satellite data by tidal condition. Additionally, tidal condition labelling at each Sentinel-2 overpass revealed that not all tidal conditions are observed by a Sun-synchronous satellite, as Low tide and Floods are always observed during Spring tides and High tide and Ebbs observed under Neap tides. Spring Low tides are overrepresented compared to all other tidal conditions. This result is particularly relevant for water quality monitoring based on remote sensing data in tidally-dominated systems.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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