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探索卫星遥感技术在美国湖泊和水库叶绿素-a监测中的潜在价值。

Exploring the potential value of satellite remote sensing to monitor chlorophyll-a for US lakes and reservoirs.

作者信息

Papenfus Michael, Schaeffer Blake, Pollard Amina I, Loftin Keith

机构信息

Office of Research & Development, U.S. Environmental Protection Agency, Corvallis, OR, 97330, USA.

Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.

出版信息

Environ Monit Assess. 2020 Dec 2;192(12):808. doi: 10.1007/s10661-020-08631-5.

Abstract

Assessment of chlorophyll-a, an algal pigment, typically measured by field and laboratory in situ analyses, is used to estimate algal abundance and trophic status in lakes and reservoirs. In situ-based monitoring programs can be expensive, may not be spatially, and temporally comprehensive and results may not be available in the timeframe needed to make some management decisions, but can be more accurate, precise, and specific than remotely sensed measures. Satellite remotely sensed chlorophyll-a offers the potential for more geographically and temporally dense data collection to support estimates when used to augment or substitute for in situ measures. In this study, we compare available chlorophyll-a data from in situ and satellite imagery measures at the national scale and perform a cost analysis of these different monitoring approaches. The annual potential avoided costs associated with increasing the availability of remotely sensed chlorophyll-a values were estimated to range between $5.7 and $316 million depending upon the satellite program used and the timeframe considered. We also compared sociodemographic characteristics of the regions (both public and private lands) covered by both remote sensing and in situ data to check for any systematic differences across areas that have monitoring data. This analysis underscores the importance of continued support for both field-based in situ monitoring and satellite sensor programs that provide complementary information to water quality managers, given increased challenges associated with eutrophication, nuisance, and harmful algal bloom events.

摘要

叶绿素a是一种藻类色素,通常通过现场和实验室原位分析来测量,用于估计湖泊和水库中的藻类丰度和营养状态。基于原位的监测计划可能成本高昂,在空间和时间上可能不够全面,而且在做出某些管理决策所需的时间范围内可能无法获得结果,但比遥感测量更准确、精确和具体。卫星遥感叶绿素a在用于补充或替代原位测量时,有可能收集到地理和时间上更密集的数据,以支持相关估计。在本研究中,我们在国家尺度上比较了原位测量和卫星图像测量中现有的叶绿素a数据,并对这些不同的监测方法进行了成本分析。根据所使用的卫星计划和所考虑的时间范围,与增加遥感叶绿素a值的可用性相关的年度潜在避免成本估计在570万美元至3.16亿美元之间。我们还比较了遥感和原位数据覆盖区域(包括公共和私人土地)的社会人口特征,以检查有监测数据的地区之间是否存在任何系统差异。鉴于与富营养化、滋扰和有害藻华事件相关的挑战不断增加,该分析强调了持续支持基于实地的原位监测和卫星传感器计划的重要性,这些计划可为水质管理人员提供补充信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3331/7708896/41c21f271880/10661_2020_8631_Fig1_HTML.jpg

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