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.

中文翻译：

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量化使用卫星信息检测蓝藻有害藻华并管理美国湖泊娱乐咨询对人类健康的益处。

卫星遥感方面的最新重大进展使环境管理人员能够检测和监测蓝藻有害藻华（cyanoHAB），并且这些功能在水质管理中得到了越来越多的使用。这些新功能所产生的社会经济效益的定量估算（即影响评估）在有关cyanoHAB和遥感的文献中越来越少。在本文中，我们提出了一个影响评估框架，以描述卫星遥感用于检测cyanoHAB和管理淡水湖泊娱乐咨询的社会经济效益。然后，我们将应用此框架来估算用于管理2017年犹他州湖cyanoHAB事件的卫星数据的社会经济效益。在犹他州湖上发生的CyanoHAB事件可能会对通过娱乐与水华互动的人们造成健康风险。我们发现，卫星数据的可获得性通过改善价值约为370,000美元的人类健康成果而带来了社会经济利益，尽管敏感性分析显示，由于对时间延迟的不同假设，这一中央估算值可能会有很大差异（收益为55,000–1,057,000美元）在发布娱乐性建议时，需要接触cyanoHAB的人数，出现胃肠道症状的人数以及每例疾病的费用。