利用哨兵图像评估 Kollam(印度喀拉拉邦)沿海水域的水质动态

IF 1.6 Q4 ENVIRONMENTAL SCIENCES Anthropocene Coasts Pub Date : 2024-04-10 DOI:10.1007/s44218-024-00042-0
Anagha Prasad, P. Rama Chandra Prasad, N. Srinivasa Rao
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引用次数: 0

摘要

沿海水域是复杂、动态和敏感的,系统中的任何变化都会影响海洋环境和生物。由于人类活动产生的废物和毒素侵入海洋,沿海水质不断下降。本研究利用哨兵-2 多光谱成像仪(MSI)数据,对 2019-2022 年期间印度喀拉拉邦科拉姆沿岸的水质进行了调查。研究分析了叶绿素(Chl-a)、总悬浮物(TSM)、浊度和有色溶解有机物(CDOM)这四个关键水质参数的季节变化和驱动因素。这项研究凸显了谷歌地球引擎等网络平台在促进大规模水质评估方面的潜力。研究结果表明,所有参数都有明显的季节性变化,主要受季风河流排水量和人类活动的影响,这些都是导致水质退化的因素。总之,这项研究强调了全面监测和管理策略的必要性,以确保沿海生态系统的长期可持续性。
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Assessing the water quality dynamics in the coastal waters of Kollam (Kerala, India) using Sentinel images

Coastal waters are complex, dynamic, and sensitive, and any change in the system impacts the marine environment and life. Coastal water quality has been decreasing due to the incursion of anthropogenic derived waste and toxins into the ocean. This study investigates water quality along the Kollam coast of Kerala State, India, using Sentinel-2 Multispectral Imager (MSI) data for the period of 2019–2022. Four key water quality parameters, chlorophyll (Chl-a), total suspended matter (TSM), turbidity, and coloured dissolved organic matter (CDOM), were analysed for seasonal variations and driving factors. The study highlights the potential of web-based platforms like Google Earth Engine for facilitating large-scale water quality assessments. The results reveal a distinct seasonal pattern in all parameters, primarily influenced by monsoonal riverine discharge and anthropogenic activities as contributing factors to water quality degradation. Overall, the study emphasises the need for comprehensive monitoring and management strategies to ensure the long-term sustainability of the coastal ecosystem.

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