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基于浮标-卫星的综合沿海水质临近预报系统:印度应对联合国海洋十年挑战的开创性努力。

An integrated buoy-satellite based coastal water quality nowcasting system: India's pioneering efforts towards addressing UN ocean decade challenges.

机构信息

Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India, Hyderabad, 500090, India.

CSIR-National Institute of Oceanography, Regional Centre, Visakhapatnam, 530017, India.

出版信息

J Environ Manage. 2024 Mar;354:120477. doi: 10.1016/j.jenvman.2024.120477. Epub 2024 Feb 27.

DOI:10.1016/j.jenvman.2024.120477
PMID:38417362
Abstract

The Indian coastal waters are stressed due to a multitude of factors, such as the discharge of industrial effluents, urbanization (municipal sewage), agricultural runoff, and river discharge. The coastal waters along the eastern and western seaboard of India exhibit contrasting characteristics in terms of seasonality, the magnitude of river influx, circulation pattern, and degree of anthropogenic activity. Therefore, understanding these processes and forecasting their occurrence is highly necessary to secure the health of coastal waters, habitats, marine resources, and the safety of tourists. This article introduces an integrated buoy-satellite based Water Quality Nowcasting System (WQNS) to address the unique challenges of water quality monitoring in Indian coastal waters and to boost the regional blue economy. The Indian National Centre for Ocean Information Services (INCOIS) has launched a first-of-its-kind WQNS, and positioned the buoys at two important locations along the east (Visakhapatnam) and west (Kochi) coast of India, covering a range of environmental conditions and tourist-intensive zones. These buoys are equipped with different physical-biogeochemical sensors, data telemetry systems, and integration with satellite-based observations for real-time data transmission to land. The sensors onboard these buoys continuously measure 22 water quality parameters, including surface current (speed and direction), salinity, temperature, pH, dissolved oxygen, phycocyanin, phycoerythrin, Coloured Dissolved Organic Matter, chlorophyll-a, turbidity, dissolved methane, hydrocarbon (crude and refined), scattering, pCO (water and air), and inorganic macronutrients (nitrite, nitrate, ammonium, phosphate, silicate). This real-time data is transmitted to a central processing facility at INCOIS, and after necessary quality control, the data is disseminated through the INCOIS website. Preliminary results from the WQNS show promising outcomes, including the short-term changes in the water column oxic and hypoxic regimes within a day in coastal waters off Kochi during the monsoon period, whereas effluxing of high levels of CO into the atmosphere associated with the mixing of water, driven by local depression in the coastal waters off Visakhapatnam. The system has demonstrated its ability to detect changes in the water column properties due to episodic events and mesoscale processes. Additionally, it offers valuable data for research, management, and policy development related to coastal water quality.

摘要

印度沿海水域因多种因素而面临压力,如工业废水排放、城市化(城市污水)、农业径流和河流排放。印度东、西海岸的沿海水域在季节性、河流流入量、环流模式和人为活动程度方面表现出截然不同的特征。因此,了解这些过程并预测其发生对于保障沿海水域、生境、海洋资源的健康以及游客的安全是非常必要的。本文介绍了一种集成浮标-卫星的水质实时预报系统(WQNS),以解决印度沿海水域水质监测的独特挑战,并推动区域蓝色经济发展。印度国家海洋信息服务中心(INCOIS)已经推出了首个此类 WQNS,并在印度东(维沙卡帕特南)和西(科钦)海岸的两个重要地点部署浮标,覆盖了一系列环境条件和游客密集区。这些浮标配备了不同的物理-生物地球化学传感器、数据遥测系统,并与卫星观测相结合,实时传输数据到陆地。这些浮标上的传感器持续测量 22 个水质参数,包括表面流(速度和方向)、盐度、温度、pH 值、溶解氧、藻蓝蛋白、藻红蛋白、有色溶解有机物、叶绿素-a、浊度、溶解甲烷、碳氢化合物(原油和精炼油)、散射、pCO(水和空气)和无机宏量营养素(亚硝酸盐、硝酸盐、铵盐、磷酸盐、硅酸盐)。这些实时数据被传输到 INCOIS 的中央处理设施,经过必要的质量控制后,数据通过 INCOIS 网站发布。WQNS 的初步结果显示出可喜的结果,包括季风期间科钦沿海海域水柱氧化和缺氧状态在一天内的短期变化,而维沙卡帕特南沿海海域由于局部海域低压导致的海水混合,将大量 CO 排放到大气中。该系统已经证明了其检测由于突发事件和中尺度过程导致的水柱特性变化的能力。此外,它还为与沿海水质相关的研究、管理和政策制定提供了有价值的数据。

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