ABSTRACT

This study describes an assessment of an ocean-ecosystem model in simulating marine ecosystem dynamics in the Indian coastal waters. Long-term sustained in-situ observations of temperature, salinity, chlorophyll-a and dissolved oxygen (DO) collected in the coastal waters of India, and ship-based observations are used for this assessment. The model captures observed trend of temperature, salinity and chlorophyll-a with high correlation in both eastern and western shelf waters except for salinity and DO along west and DO along east coast. The model performs very well in simulating the Indian coastal shelf ecosystem dynamics. The seasonal occurrence of prominent phytoplankton bloom in the central-east coast during pre-monsoon, south-west coast during monsoon and north-west coast during post-monsoon is realistically reproduced by the model. The model also reproduces the seasonal presence of significantly low DO content in the upwelled water at a shallow depth leading to coastal hypoxia in the south-west and central-east coast of India during summer monsoon. A fine-tuned model is useful in understanding better Indian coastal shelf ecosystem and predicting future changes in time and space, like the occurrence of coastal hypoxia or anticipating phytoplankton blooms. Such information is useful for predicting potential fishing grounds in coastal waters and fisheries management.

摘要

本研究描述了对模拟印度沿海水域海洋生态系统动态的海洋生态系统模型的评估。长期持续原位对在印度沿海水域收集的温度、盐度、叶绿素-a 和溶解氧 (DO) 的观测以及基于船舶的观测用于该评估。除了西部的盐度和溶解氧以及东海岸的溶解氧外，该模型捕获了东部和西部陆架水域的温度、盐度和叶绿素-a 的观测趋势，具有高度相关性。该模型在模拟印度沿海陆架生态系统动态方面表现非常出色。模型真实地再现了季风前中东部海岸、季风期间西南海岸和季风后西北海岸突出浮游植物水华的季节性发生。该模型还重现了夏季季风期间印度西南和中东海岸沿海缺氧的浅层上升流水中 DO 含量显着降低的季节性存在。微调模型有助于更好地了解印度沿海陆架生态系统和预测未来时间和空间的变化，例如沿海缺氧的发生或预测浮游植物的大量繁殖。这些信息对于预测沿海水域的潜在渔场和渔业管理很有用。