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量化利用卫星信息检测蓝藻有害藻华并管理美国湖泊娱乐活动建议对人类健康的益处。

Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes.

作者信息

Stroming Signe, Robertson Molly, Mabee Bethany, Kuwayama Yusuke, Schaeffer Blake

机构信息

School of Foreign Service Georgetown University Washington DC USA.

Resources for the Future Washington DC USA.

出版信息

Geohealth. 2020 Aug 25;4(9):e2020GH000254. doi: 10.1029/2020GH000254. eCollection 2020 Sep.

Abstract

Significant recent advances in satellite remote sensing allow environmental managers to detect and monitor cyanobacterial harmful algal blooms (cyanoHAB), and these capabilities are being used more frequently in water quality management. A quantitative estimate of the socioeconomic benefits generated from these new capabilities, known as an impact assessment, was missing from the growing literature on cyanoHABs and remote sensing. In this paper, we present an impact assessment framework to characterize the socioeconomic benefits of satellite remote sensing for detecting cyanoHABs and managing recreational advisories at freshwater lakes. We then apply this framework to estimate the socioeconomic benefits of satellite data that were used to manage a 2017 cyanoHAB event in Utah Lake. CyanoHAB events on Utah Lake can pose health risks to people who interact with the blooms through recreation. We find that the availability of satellite data yielded socioeconomic benefits by improving human health outcomes valued at approximately $370,000, though a sensitivity analysis reveals that this central estimate can vary significantly ($55,000-$1,057,000 in benefits) as a result of different assumptions regarding the time delay in posting a recreational advisory, the number of people exposed to the cyanoHAB, the number of people who experience gastrointestinal symptoms, and the cost per case of illness.

摘要

卫星遥感技术最近取得了重大进展,这使环境管理者能够检测和监测蓝藻有害藻华(cyanoHAB),并且这些能力在水质管理中的应用越来越频繁。在关于cyanoHABs和遥感的不断增长的文献中,缺少对这些新能力所产生的社会经济效益的定量估计,即所谓的影响评估。在本文中,我们提出了一个影响评估框架,以描述卫星遥感在检测cyanoHABs和管理淡水湖娱乐建议方面的社会经济效益。然后,我们应用这个框架来估计用于管理2017年犹他湖cyanoHAB事件的卫星数据的社会经济效益。犹他湖的cyanoHAB事件可能会对通过娱乐活动接触藻华的人构成健康风险。我们发现,卫星数据的可用性通过改善人类健康状况产生了社会经济效益,价值约37万美元,不过敏感性分析表明,由于在发布娱乐建议的时间延迟、接触cyanoHAB的人数、出现胃肠道症状的人数以及每例疾病成本等方面的不同假设,这一核心估计值可能会有很大差异(效益在5.5万美元至105.7万美元之间)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2997/7446750/92b94420c526/GH2-4-e2020GH000254-g001.jpg

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