全球智库信息集成服务系统(G2TT): Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in US Lakes

G2TT

来源类型	Journal Article in GeoHealth
规范类型	论文
	Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in US Lakes
	Signe Stroming; Molly Robertson; Bethany Mabee; Yusuke Kuwayama; Blake Schaeffer
发表日期	2020-06-18
出处	GeoHealth
出版年	2020
语种	英语
摘要	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.
主题	Earth Observation for Policy,Water Resources,VALUABLES
URL	https://www.rff.org/publications/journal-articles/quantifying-human-health-benefits-using-satellite-information-detect-cyanobacterial-harmful-algal-blooms-and-manage-recreational-advisories-us-lakes/
来源智库	Resources for the Future (United States)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/588325
推荐引用方式 GB/T 7714	Signe Stroming,Molly Robertson,Bethany Mabee,et al. Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in US Lakes. 2020.