Global Observatory of Lake Responses to Environmental Change (GloboLakes)

全球湖泊对环境变化反应的观测站 (GloboLakes)

• 批准号: NE/J022810/1
• 负责人: Claire Miller
• 金额: $ 50.66万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FJ022810%2F1
• 关键词: Global; Observatory; Lake; Responses; Environmental

There are around 304 million lakes globally. These provide essential resources for human survival and are an important component of global biogeochemical cycles. Lakes are also fragile systems that are sensitive to multiple pressures including nutrient enrichment, climate change and hydrological modification, making them important 'sentinels' of environmental perturbation. However, traditional monitoring has only produced data from a tiny fraction of the global population of lakes and disentangling the causes of change requires consistently-produced data from a large number of lakes, along with measurements of possible causes of change. Satellite observations (remote sensing) and the establishment of a global lake observatory would produce a step-change in our ability to detect and attribute the causes of changes in lakes world-wide. This is now possible for three reasons: (1) the improved wavebands, spatial resolution and frequency of data collection from satellite sensors is now sufficient to monitor inland waters; (2) formulae to correct for atmospheric properties and to convert the detected reflected light to useful lake properties have been developed; and (3) computing power has increased to the point that allows near real time and archived information from satellites to be processed. GloboLakes will analyse 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This is an ambitious project that is only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions. The eight objectives of GloboLakes are to:(i) develop remote sensing algorithms to estimate lake biogeochemical and physical parameters;(ii) make these algorithms operational and process satellite data;(iii) compile integrated spatio-temporal information on climatic and catchment data for >1000 lakes;(iv) integrate data and assess uncertainty in data sources;(v) detect spatial and temporal patterns in lake water quality;(vi) attribute the causes of lake response to environmental conditions;(vii) forecast lake sensitivity to environmental change;(viii) apply data to lake management and the monitoring of freshwater resources.The project will focus on the retrieval of surface water temperature as this has a fundamental effect on lake ecology, the concentration of coloured dissolved organic matter and suspended solids that derive largely from the catchment, the abundance of phytoplankton measured as the concentration of the pigment, chlorophyll a, and the abundance of cyanobacteria (blue-green algae) that can potentially be toxic. Knowledge of the conditions of lakes and their sensitivity to change is also extremely valuable for the management of lakes and reservoirs and GloboLakes will provide information and products specifically for environmental managers. A satellite due to be launched during the course of the project, called Sentinel 2, will provide even greater spatial resolution allowing data to be collected and exploited from even smaller lakes. This will be investigated by GloboLakes and incorporated into the framework of a global lake observatory.

全球约有 3.04 亿个湖泊。它们为人类生存提供了必要的资源，是全球生物地球化学循环的重要组成部分。湖泊也是脆弱的系统，对营养物富集、气候变化和水文改造等多种压力敏感，使其成为环境扰动的重要“哨兵”。然而，传统监测只能从全球湖泊人口的一小部分中产生数据，而要弄清楚变化的原因需要从大量湖泊中持续产生数据，以及对可能的变化原因的测量。卫星观测（遥感）和全球湖泊观测站的建立将大大提高我们检测和归因全球湖泊变化原因的能力。现在之所以能够做到这一点，有以下三个原因：(1) 改进的波段、空间分辨率和卫星传感器数据收集的频率现在足以监测内陆水域； (2) 已开发出校正大气特性并将检测到的反射光转换为有用的湖泊特性的公式； (3) 计算能力已提高到可以处理来自卫星的近乎实时的存档信息。 GloboLakes 将分析全球 1000 多个大型湖泊 20 年来的数据，以确定“是什么控制着湖泊对环境扰动的差异敏感度”。这是一个雄心勃勃的项目，只有将具有互补技能的科学家联盟聚集在一起才能实现。其中包括淡水遥感和处理大量卫星图像、大规模环境数据的整理和分析、环境统计和数据不确定性评估、淡水生态和环境变化机制以及生成湖泊模型以预测未来湖泊状况的能力等方面的专业知识。 GloboLakes 的八个目标是：(i) 开发遥感算法来估计湖泊生物地球化学和物理参数；(ii) 使这些算法可操作并处理卫星数据；(iii) 编制超过 1000 个湖泊的气候和流域数据的综合时空信息；(iv) 整合数据并评估数据源的不确定性；(v) 检测时空模式 该项目将重点关注地表水温的反演，因为这对湖泊生态、主要来自流域的有色溶解有机物和悬浮固体的浓度、 浮游植物的丰度以色素、叶绿素 a 的浓度来衡量，以及可能有毒的蓝藻（蓝绿藻）的丰度。了解湖泊状况及其对变化的敏感性对于湖泊和水库的管理也非常有价值，GloboLakes 将专门为环境管理者提供信息和产品。该项目期间将发射一颗名为 Sentinel 2 的卫星，该卫星将提供更高的空间分辨率，从而可以从更小的湖泊收集和利用数据。 GloboLakes 将对此进行调查，并将其纳入全球湖泊观测站的框架中。

项目成果

Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies.

• DOI: 10.1038/s41597-022-01889-z
• 发表时间: 2023-01-14
• 期刊: SCIENTIFIC DATA
• 影响因子: 9.8
• 作者: Carrea, Laura;Cretaux, Jean-Francois;Liu, Xiaohan;Wu, Yuhao;Calmettes, Beatriz;Duguay, Claude R.;Merchant, Christopher J.;Selmes, Nick;Simis, Stefan G. H.;Warren, Mark;Yesou, Herve;Mueller, Dagmar;Jiang, Dalin;Embury, Owen;Berge-Nguyen, Muriel;Albergel, Clement
• 通讯作者: Albergel, Clement

Functional PCA for Remotely Sensed Lake Surface Water Temperature Data

用于遥感湖面水温数据的函数主成分分析

• DOI: 10.1016/j.proenv.2015.05.015
• 发表时间: 2015
• 期刊: Procedia Environmental Sciences
• 作者: Gong M

A comparison of clustering approaches for the study of the temporal coherence of multiple time series

用于研究多个时间序列的时间相干性的聚类方法的比较

• DOI: 10.1007/s00477-014-0931-2
• 发表时间: 2014
• 期刊: Stochastic Environmental Research and Risk Assessment
• 影响因子: 4.2
• 作者: Finazzi F

Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data

遥感湖泊表面水温数据时空建模

• 发表时间: 2018
• 作者: Gong M

Coherency in space of lake and river temperature and water quality records

湖泊和河流温度和水质记录的空间一致性

• 作者: Claire Miller (Author)