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参与式科学方法监测水质和切萨皮克湾的地面实况遥感。

Participatory science methods to monitor water quality and ground truth remote sensing of the Chesapeake Bay.

机构信息

Smithsonian Institution, Smithsonian Environmental Research Center, Edgewater, Maryland, United States of America.

The City College of New York, City University of New York, New York, New York, United States of America.

出版信息

PLoS One. 2024 Oct 31;19(10):e0305505. doi: 10.1371/journal.pone.0305505. eCollection 2024.

DOI:10.1371/journal.pone.0305505
PMID:39480823
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11527148/
Abstract

Measurements by volunteer scientists using participatory science methods in combination with high resolution remote sensing can improve our ability to monitor water quality changes in highly vulnerable and economically valuable nearshore and estuarine habitats. In the Chesapeake Bay (USA), tidal tributaries are a focus of watershed and shoreline management efforts to improve water quality. The Chesapeake Water Watch program seeks to enhance the monitoring of tributaries by developing and testing methods for volunteer scientists to easily measure chlorophyll, turbidity, and colored dissolved organic matter (CDOM) to inform Bay stakeholders and improve algorithms for analogous remote sensing (RS) products. In the program, trained volunteers have measured surface turbidity using a smartphone app, HydroColor, calibrated with a photographer's gray card. In vivo chlorophyll and CDOM fluorescence were assessed in surface samples with hand-held fluorometers (Aquafluor) located at sample processing "hubs" where volunteers drop off samples for same day processing. In validation samples, HydroColor turbidity and Aquafluor in vivo chlorophyll and CDOM fluorescence were linear estimators of standard analytical measures of turbidity, chlorophyll and CDOM, respectively, with R2 values ranging from 0.65 to 0.85. Updates implemented in a new version (v2) of HydroColor improved the precision of estimates. These methods are being used for both repeat sampling at fixed sites of interest and ad-hoc "blitzes" to synoptically sample tributaries all around the Bay in coordination with satellite overpasses. All data is accessible on a public database (serc.fieldscope.org) and can be a resource to monitor long-term trends in the tidal tributaries as well as detect and diagnose causes of events of concern such as algal blooms and storm-induced reductions in water clarity.

摘要

志愿者科学家使用参与式科学方法与高分辨率遥感相结合进行的测量,可以提高我们监测高度脆弱和经济价值高的近岸和河口栖息地水质变化的能力。在美国切萨皮克湾,潮汐支流是流域和海岸线管理工作的重点,目的是改善水质。切萨皮克水观察家计划旨在通过开发和测试志愿者科学家轻松测量叶绿素、浊度和有色溶解有机物 (CDOM) 的方法来增强对支流的监测,为海湾利益相关者提供信息,并改进类似遥感 (RS) 产品的算法。在该计划中,经过培训的志愿者使用智能手机应用程序 HydroColor 测量表面浊度,该应用程序使用摄影师的灰卡进行校准。在位于志愿者将样本送到进行当天处理的“集线器”的样本处理处,使用手持式荧光计(Aquafluor)评估表面样本中的活体叶绿素和 CDOM 荧光。在验证样本中,HydroColor 浊度和 Aquafluor 活体叶绿素和 CDOM 荧光分别是浊度、叶绿素和 CDOM 的标准分析测量的线性估计值,R2 值范围从 0.65 到 0.85。在 HydroColor 的新版本 (v2) 中实施的更新提高了估计的精度。这些方法既用于在感兴趣的固定地点进行重复采样,也用于在与卫星过境同步的情况下对整个海湾的支流进行临时“闪电战”采样。所有数据都可在公共数据库 (serc.fieldscope.org) 上获取,可用于监测潮汐支流的长期趋势,并检测和诊断藻类大量繁殖和风暴导致水质清澈度降低等令人关注事件的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/b1c43d5ac695/pone.0305505.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/dba1ecb8ec34/pone.0305505.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/d12a3a1be611/pone.0305505.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/39ccb648e93f/pone.0305505.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/157bac81eb1e/pone.0305505.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/e793fddc0a38/pone.0305505.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/92cc51bac0e2/pone.0305505.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/b1c43d5ac695/pone.0305505.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/dba1ecb8ec34/pone.0305505.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/d12a3a1be611/pone.0305505.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/39ccb648e93f/pone.0305505.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/157bac81eb1e/pone.0305505.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/e793fddc0a38/pone.0305505.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/92cc51bac0e2/pone.0305505.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f95/11527148/b1c43d5ac695/pone.0305505.g007.jpg

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