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持续综合评估印度内陆水域有害藻华。

Continuous and Synoptic Assessment of Indian Inland Waters for Harmful Algae Blooms.

机构信息

Photogrammetry and Remote Sensing Department, Indian Institute of Remote Sensing (IIRS), ISRO, India; Department of Geography, University of Georgia, GA, USA.

Department of Geography, University of Georgia, GA, USA; Department of Environmental Conservation, University of Massachusetts Amherst, MA, USA.

出版信息

Harmful Algae. 2022 Jan;111:102160. doi: 10.1016/j.hal.2021.102160. Epub 2021 Dec 10.

Abstract

Cyanobacterial Harmful Algal Blooms (CyanoHABs) are progressively becoming a major water quality, socioeconomic, and health hazard worldwide. In India, there are frequent episodes of severe CyanoHABs, which are left untreated due to a lack of awareness and monitoring infrastructure, affecting the economy of the country gravely. In this study, for the first time, we present a country-wide analysis of CyanoHABs in India by developing a novel interactive cloud-based dashboard called "CyanoKhoj" in Google Earth Engine (GEE) which uses Sentinel-3 Ocean and Land Colour Instrument (OLCI) remotely sensed datasets. The main goal of this study was to showcase the utility of CyanoKhoj for rapid monitoring and discuss the widespread CyanoHABs problems across India. We demonstrate the utility of Cyanokhoj by including select case studies of lakes and reservoirs geographically spread across five states: Bargi and Gandhisagar Dams in Madhya Pradesh, Hirakud Reservoir in Odisha, Ukai Dam in Gujarat, Linganamakki Reservoir in Karnataka, and Pulicat Lake in Tamil Nadu. These sites were studied from September to November 2018 using CyanoKhoj, which is capable of near-real-time monitoring and country-wide assessment of CyanoHABs. We used CyanoKhoj to prepare spatiotemporal maps of Chlorophyll-a (Chl-a) content and Cyanobacterial Cell Density (CCD) to study the local spread of the CyanoHABs and their phenology in these waterbodies. A first-ever all-India CCD map is also presented for the year 2018, which highlights the spatial spread of CyanoHABs throughout the country (32 large waterbodies across India with severe bloom: CCD>2,500,000). Results indicate that CyanoHABs are most prevalent in nutrient-rich waterbodies prone to industrial and other nutrient-rich discharges. A clear temporal evolution of the blooms showed that they are dominant during the post-monsoon season (September-October) when the nutrient concentrations in the waterbodies are at their peak, and they begin to decline towards winter (November-December). CyanoKhoj is an open-source tool that can have a significant broader impact in mapping CyanoHABs not only throughout cyanobacteria data-scarce India, but on a global level using archived and future Sentinel-3A/B OLCI data.

摘要

蓝藻有害藻华(CyanoHABs)在全球范围内正逐渐成为主要的水质、社会经济和健康危害。在印度,由于缺乏意识和监测基础设施,经常发生严重的 CyanoHABs 事件,但这些事件未得到处理,这对该国的经济造成了严重影响。在这项研究中,我们首次通过在 Google Earth Engine (GEE) 中开发一个名为“CyanoKhoj”的新型交互式云仪表板,对印度的 CyanoHABs 进行了全国范围的分析,该仪表板使用 Sentinel-3 海洋陆地色仪 (OLCI) 遥感数据集。本研究的主要目标是展示 CyanoKhoj 用于快速监测的效用,并讨论印度各地广泛存在的 CyanoHABs 问题。我们通过包括五个州的湖泊和水库的选择案例研究来展示 Cyanokhoj 的实用性:中央邦的 Bargi 和 Gandhisagar 大坝、奥里萨邦的 Hirakud 水库、古吉拉特邦的 Ukai 大坝、卡纳塔克邦的 Linganamakki 水库和泰米尔纳德邦的 Pulicat 湖。这些地点于 2018 年 9 月至 11 月使用 CyanoKhoj 进行了研究,CyanoKhoj 能够对 CyanoHABs 进行近乎实时的监测和全国范围内的评估。我们使用 CyanoKhoj 制作了叶绿素 a(Chl-a)含量和蓝藻细胞密度(CCD)的时空图,以研究这些水体中 CyanoHABs 的局部扩散及其物候学。还首次呈现了 2018 年的全印度 CCD 地图,突出了整个印度的 CyanoHABs 空间分布(印度 32 个大型水体出现严重水华:CCD>2,500,000)。结果表明,CyanoHABs 在富营养化的水体中最为普遍,这些水体容易受到工业和其他富营养化排放物的影响。水华的明显时间演变表明,它们在季风后季节(9 月至 10 月)最为盛行,此时水体中的营养浓度达到峰值,然后在冬季(11 月至 12 月)开始下降。CyanoKhoj 是一个开源工具,不仅可以在印度这样的蓝藻数据稀缺地区,而且可以在使用存档和未来 Sentinel-3A/B OLCI 数据的全球范围内,对 CyanoHABs 进行制图方面产生重大影响。

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