利用哨兵-3 和全球生物地球化学分析与预测产品评估印度胡格利河口的水质参数

Vaishali Portel, P. Rama Chandra Prasad
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摘要

胡格利河口在支持大量人口的生计和维护海洋生物多样性方面发挥着至关重要的作用,因此有必要对其水质进行定期和精确的评估。对叶绿素 a、总悬浮物 (TSM)、Kd490(浊度的代用指标)、有色颗粒有机物 (CDOM) 浓度 Adg443、海面温度 (SST)、硝酸盐、磷酸盐、硅酸盐、pH 值、溶解无机碳 (DIC) 和分子溶解氧 (DO) 等各种参数进行跨季节和跨年份的分析,揭示了不同的模式。利用来自 OLCI、SLSTR 和哥白尼全球生物地球化学分析和预测产品的数据集,浓度图和时间序列显示了显著的波动,尤其是在季风和季风后时期。在这些季节,暴雨导致河水流量增加,邻近陆地和支流的沉积物流量也随之增加,从而提高了营养物含量。在季风前和季风期间,观测到海温值升高,叶绿素-a 浓度增加,这主要归因于太阳辐射增强。2022 年 10 月的气旋风暴也产生了显著影响。分析表明,不同参数之间存在很强的相关性。营养元素(硅酸盐、磷酸盐、硝酸盐)与 pH 值呈正相关(范围为 0.47 至 0.78),与 DIC 呈负相关(范围为 - 0.25 至 -0.83)。此外,pH 值与溶解氧呈正相关(r = 0.67),叶绿素-a 与浑浊度呈显著相关(r = 0.86),TSM 与 CDOM 呈显著相关(r = 0.59)。这些强有力的相关性证实了数据集对于了解胡格利河口动态的相关性。
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Assessment of Water Quality Parameters in the Hooghly Estuary, India, Using Sentinel-3 and Global Biogeochemical Analysis and Forecasts Products

The Hooghly Estuary plays a critical role in supporting both the livelihoods of a significant human population and maintaining marine biodiversity, thus necessitating regular and precise evaluations of its water quality. Analyzing various parameters like Chlorophyll-a, Total Suspended Matter (TSM), Kd490 (a proxy for turbidity), Adg443 for Coloured Detrital Organic Matter (CDOM) concentration, Sea Surface Temperature (SST), Nitrate, Phosphate, Silicate, pH, Dissolved Inorganic Carbon (DIC), and Molecular dissolved oxygen (DO) across seasons and years revealed distinct patterns. Leveraging datasets from OLCI, SLSTR, and the Copernicus Global biogeochemical analysis and forecast products, concentration maps and time series depicted significant fluctuations, notably during the monsoon and post-monsoon periods. During these seasons, elevated river discharges due to heavy rainfall led to increased sediment flow from adjacent land and tributaries, consequently raising nutrient levels. During the pre-monsoon and monsoon periods, higher values of SST and increased chlorophyll-a concentration were observed primarily attributed to intensified solar radiation. Notable effects from cyclonic storm in October 2022 were also observed. The analysis showcased strong correlations among different parameters. Nutrients (silicate, phosphate, nitrate) exhibited positive correlations with pH (ranging from 0.47 to 0.78) and negative correlations with DIC (ranging from − 0.25 to -0.83). Additionally, pH showed a positive correlation with DO (r = 0.67), while chlorophyll-a correlated notably with turbidity (r = 0.86) and TSM with CDOM (r = 0.59). These robust correlations substantiate the relevance of the datasets for understanding the dynamics of the Hooghly Estuary.

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