ABSTRACT

A new conceptual framework, based on ocean bio-physical observations from different satellites, has been proposed to track fishing ground parameters to identify Potential Fishing Zones (PFZ) in the Bay of Bengal (BoB). The proposed technique also attempts to provide a short-term forecast based on feature propagation, even under cloudy conditions. The current study has been carried out to understand the link between possible fish catch availability and satellite-derived parameters such as chlorophyll concentration, sea surface temperature, sea-level anomaly, ocean surface currents and wind vectors. Net Ekman transport obtained from the upfront and downfront components of the wind relative to the frontal direction provides valuable information on the forecast of PFZ regions and its possible shift. Comparison of the identified PFZs with limited in situ fish catch data proves that the suggested approach holds the promise in improved monitoring of possible fish catch locations. The study provides a novel approach for the monitoring and short-term forecasting of PFZ even for cloud-contaminated regions by using all possible ocean information from space-based platforms.

摘要

已经提出了一个基于不同卫星的海洋生物物理观测结果的新概念框架，用于跟踪渔场参数，以识别孟加拉湾（BoB）的潜在渔区（PFZ）。所提出的技术还试图提供基于特征传播的短期预测，即使在多云条件下也是如此。进行当前研究是为了了解可能的鱼获量与卫星衍生参数（例如叶绿素浓度，海面温度，海平面异常，海面洋流和风向）之间的联系。从风的前部和后部分量相对于额叶方向获得的净Ekman输运提供了有关PFZ区域的预测及其可能偏移的有价值的信息。将已查明的PFZ与有限的就地捕捞数据进行比较，证明所建议的方法有望改善对可能的捕捞地点的监测。该研究通过使用来自天基平台的所有可能的海洋信息，为监测和短期预报PFZ（甚至是受云污染的地区）提供了一种新颖的方法。