将RGB传感器集成到无人机中用于监测水库蓝藻密度。

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Will Jones Moura Soares da Silva, Alex Bruno da Silva Farias, Janiele França Nery, Emanuel Araújo Silva, Renato José Reis Molica
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引用次数: 0

摘要

由于供水水库的富营养化日益严重,蓝藻的增殖已成为一个重大的水管理挑战。蓝藻在营养浓度升高的情况下繁盛,形成广泛的绿垫,破坏了当地的生态系统。此外,许多蓝藻物种可以产生毒素,是致命的脊椎动物称为蓝藻毒素。传统的监测方法在评估整个水塘的水质方面效率低下,因为采样只在公共供水的集水区进行,由于这些水塘的多种用途,使人口面临污染的风险。因此,由最近的技术进步支持的新型监测方法,如使用无人驾驶飞行器(uav),正在测试其在监测水生生态系统中蓝藻密度方面的有效性。本研究分析了两个供水水库的无人机图像,以评估监测蓝藻密度的有效性。无人机配备了RGB传感器,并在同一天和同一地点飞越研究区域,进行水样取样,以确定浮游植物密度、生物体积和叶绿素-a。两个水库的浮游植物群落均以蓝藻为主。叶绿素-a浓度(r2 = 0.92)、浮游植物总密度和蓝藻总密度(r2 = 0.89和r2 = 0.97)、浮游植物总生物量和蓝藻总生物量(r2 = 0.96)的预测模型具有较高的决定系数。将预测模型应用于无人机RGB图像生成的正立体图,可以通过分布图可视化浮游植物和蓝藻生物量的空间分布。该方法在对公共供水至关重要的水体管理中具有潜在的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RGB sensor integrated into unmanned aerial vehicle for monitoring cyanobacterial density in reservoirs.

The proliferation of cyanobacteria has become a significant water management challenge due to the increasing eutrophication of water supply reservoirs. Cyanobacterial blooms thrive on elevated nutrient concentrations and form extensive green mats, disrupting the local ecosystem. Furthermore, many cyanobacterial species can produce toxins that are lethal to vertebrates called cyanotoxins. Traditional monitoring methods are inefficient for assessing water quality in reservoirs as a whole, given that sampling is only carried out in the catchment area for the public water supply, which exposes the population to the risk of contamination due to the multiple uses of these reservoirs. Therefore, novel monitoring methods supported by recent technological advances, such as the use of unmanned aerial vehicles (UAVs), are being tested for their effectiveness in monitoring cyanobacterial densities in aquatic ecosystems. This study analyzed UAV images of two water supply reservoirs to assess the effectiveness in monitoring cyanobacterial density. The UAVs were equipped with RGB sensors and flew over the study areas on the same day and at the same locations as water sampling performed for the determination of phytoplankton density, biovolume and chlorophyll-a. The phytoplankton community was dominated by cyanobacteria in both reservoirs. High coefficients of determination were obtained in the predictive models for chlorophyll-a concentration (r2 = 0.92), total phytoplankton and cyanobacterial densities (r2 = 0.89 and r2 = 0.97, respectively), and total phytoplankton and cyanobacterial biovolumes (r2 = 0.96 for both). Applying the predictive models to the orthomosaics generated from the UAV RGB images enabled the visualization of the spatial distribution of the phytoplankton and cyanobacterial biomass through distribution maps. This method has potential application in the management of water bodies that are crucial to the public water supply.

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来源期刊
Integrated Environmental Assessment and Management
Integrated Environmental Assessment and Management ENVIRONMENTAL SCIENCESTOXICOLOGY&nbs-TOXICOLOGY
CiteScore
5.90
自引率
6.50%
发文量
156
期刊介绍: Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas: Science-informed regulation, policy, and decision making Health and ecological risk and impact assessment Restoration and management of damaged ecosystems Sustaining ecosystems Managing large-scale environmental change Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society: Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.
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