7 research outputs found
Crowdsourcing Global Wastewater Data
No time to waste: Crowdsourcing global wastewater treatment data
Worldwide, over 80 percent of wastewater is discharged into water bodies without undergoing treatment, severely impairing human well-being and ecosystem vitality along the way. National performance on wastewater treatment is difficult to quantify and is poorly understood due to a lack of common definitions, poor data collection standards, and limited historical data. To address this, the Yale Environmental Performance Index (EPI), a research group that produces a biennial ranking of country-level environmental performance, developed a first-of-its kind national wastewater treatment indicator.[1]
The indicator assesses wastewater treatment performance for 183 countries, but there are still data gaps and quality issues to address. The Yale EPI is looking to refine and improve its database through a first-of-its-kind innovative effort to crowdsource updates and feedback using an interactive map of wastewater treatment performance.[2] The crowdsourcing effort is targeted at water experts and decision-makers around the world and aims to: Validate existing data by working with local experts, Improve spatial and temporal data coverage Build a wider community of users around wastewater data.
Yale EPI’s wastewater treatment indicator can help improve understanding of the topic, and refine the signal sent to policymakers about proper management.
Keywords (wastewater, crowdsourcing, map, treatment, ecosystem, indicator, EPI, national, global, database)
[1] Malik, Omar A., et al. 2015. “A global indicator of wastewater treatment to inform the Sustainable Development Goals (SDGs).” Environmental Science & Policy 48: 172-185.
[2] Torres Quintanilla, Diego, Peter Hirsch, Samuel Cohen. Wastewater Treatment Map. Environmental Performance Index, Yale Center for Environmental Law & Policy, 6 July 2015. Web. 26 Aug. 2015.
Intestinal Macrophages Lack CD14 and CD89 and Consequently Are Down-Regulated for LPS- and IgA-Mediated Activities
Alterations in multidirectional myocardial functions in patients with aortic stenosis and preserved ejection fraction: A two-dimensional speckle tracking analysis
AimsTo identify changes in multidirectional strain and strain rate (SR) in patients with aortic stenosis (AS).Methods and resultsA total of 420 patients (age 66.1 ± 14.5 years, 60.7 men) with aortic sclerosis, mild, moderate, and severe AS with preserved left ventricular (LV) ejection fraction [(EF)