Skip to main content

Diana Restrepo-Osorio

thumbnail
This U.S. Geological Survey (USGS) Data Release provides derivative statistics of water used by Kansas public-supply systems in 2015. Gallons per capita per day is calculated using self-reported information in the “Part B: Monthly Water Use Summary” and “Part C: Population, Service Connections, and Water Rates” sections of the Kansas Department of Agriculture, Division of Water Resources' (DWR) annual municipal water use report (see appendixes at http://dx.doi.org/10.3133/ds964 for an example of a municipal water use report form.) Percent unaccounted for water is calculated using self-reported information in “Part B: Monthly Water Use Summary” of the DWR’s municipal water-use report. The published statistics from...
thumbnail
The papers table contains bibliographic data and abstract for each scientific paper included in the meta-analysis. Each entry represents a unique model of social vulnerability to water insecurity. In cases where a scientific paper included multiple models that produced different associations between social vulnerability and water insecurity, the paper is recorded separately for each unique model.
thumbnail
Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature and datasets to support the factor were researched across open data catalogs and the world wide web.
thumbnail
For each aggregated indicator assessed, this table provides counts of the number of models in the meta-analysis for which specific relationships (positive, negative, no relationship or for which the directionality could not be determined) to conditions of water insecurity were identified. The strength of these relationships is indicated by a count of the number of models recording them. The table also provides an indication of the levels of evidence and agreement between models.
thumbnail
This dataset provides a high-level summary of the amount of evidence available and agreement in the literature for the direction of influence associated with each determinant of social vulnerability found in the meta-analysis.
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.