Item talk:Q58409

{"@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Estimating natural monthly streamflows in California and the likelihood of anthropogenic modification", "identifier": [{"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "ofr20161189", "url": "https://pubs.usgs.gov/publication/ofr20161189"}, {"@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70178199}, {"@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/ofr20161189", "url": "https://doi.org/10.3133/ofr20161189"}], "inLanguage": "en", "isPartOf": [{"@type": "CreativeWorkSeries", "name": "Open-File Report"}], "datePublished": "2016", "dateModified": "2017-02-15", "abstract": "Because natural patterns of streamflow are a fundamental property of the health of streams, there is a critical need to quantify the degree to which human activities have modified natural streamflows. A requirement for assessing streamflow modification in a given stream is a reliable estimate of flows expected in the absence of human influences. Although there are many techniques to predict streamflows in specific river basins, there is a lack of approaches for making predictions of natural conditions across large regions and over many decades. In this study conducted by the U.S. Geological Survey, in cooperation with The Nature Conservancy and Trout Unlimited, the primary objective was to develop empirical models that predict natural (that is, unaffected by land use or water management) monthly streamflows from 1950 to 2012 for all stream segments in California. Models were developed using measured streamflow data from the existing network of streams where daily flow monitoring occurs, but where the drainage basins have minimal human influences. Widely available data on monthly weather conditions and the physical attributes of river basins were used as predictor variables. Performance of regional-scale models was comparable to that of published mechanistic models for specific river basins, indicating the models can be reliably used to estimate natural monthly flows in most California streams. A second objective was to develop a model that predicts the likelihood that streams experience modified hydrology. New models were developed to predict modified streamflows at 558 streamflow monitoring sites in California where human activities affect the hydrology, using basin-scale geospatial indicators of land use and water management. Performance of these models was less reliable than that for the natural-flow models, but results indicate the models could be used to provide a simple screening tool for identifying, across the State of California, which streams may be experiencing anthropogenic flow modification.", "description": "vi, 27 p.", "publisher": {"@type": "Organization", "name": "U.S. Geological Survey"}, "author": [{"@type": "Person", "name": "Carlisle, Daren dcarlisle@usgs.gov", "givenName": "Daren", "familyName": "Carlisle", "email": "dcarlisle@usgs.gov", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-7367-348X", "url": "https://orcid.org/0000-0002-7367-348X"}, "affiliation": [{"@type": "Organization", "name": "Kansas Water Science Center", "url": "https://www.usgs.gov/centers/kansas-water-science-center"}, {"@type": "Organization", "name": "National Water Quality Program", "url": "https://www.usgs.gov/programs/national-water-quality-program"}, {"@type": "Organization", "name": "Office of Water Quality", "url": "https://www.usgs.gov/mission-areas/water-resources"}, {"@type": "Organization", "name": "National Water Quality Assessment Program", "url": "https://www.usgs.gov/programs/national-water-quality-program"}, {"@type": "Organization", "name": "WMA - Earth System Processes Division", "url": "https://www.usgs.gov/mission-areas/water-resources"}]}, {"@type": "Person", "name": "Howard, Jeanette K.", "givenName": "Jeanette K.", "familyName": "Howard"}, {"@type": "Person", "name": "Grantham, Theodore E. tgrantham@usgs.gov", "givenName": "Theodore E.", "familyName": "Grantham", "email": "tgrantham@usgs.gov", "affiliation": [{"@type": "Organization", "name": "Fort Collins Science Center", "url": "https://www.usgs.gov/centers/fort-collins-science-center"}]}, {"@type": "Person", "name": "Fesenmyer, Kurt", "givenName": "Kurt", "familyName": "Fesenmyer"}, {"@type": "Person", "name": "Wieczorek, Michael mewieczo@usgs.gov", "givenName": "Michael", "familyName": "Wieczorek", "email": "mewieczo@usgs.gov", "affiliation": [{"@type": "Organization", "name": "Maryland Water Science Center", "url": "https://www.usgs.gov/centers/md-de-dc-water"}]}, {"@type": "Person", "name": "Wolock, David M. dwolock@usgs.gov", "givenName": "David M.", "familyName": "Wolock", "email": "dwolock@usgs.gov", "identifier": {"@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-6209-938X", "url": "https://orcid.org/0000-0002-6209-938X"}, "affiliation": [{"@type": "Organization", "name": "Kansas Water Science Center", "url": "https://www.usgs.gov/centers/kansas-water-science-center"}, {"@type": "Organization", "name": "National Water Quality Program", "url": "https://www.usgs.gov/programs/national-water-quality-program"}, {"@type": "Organization", "name": "WMA - Integrated Modeling and Prediction Division", "url": "https://www.usgs.gov/mission-areas/water-resources"}, {"@type": "Organization", "name": "National Water Quality Assessment Program", "url": "https://www.usgs.gov/programs/national-water-quality-program"}, {"@type": "Organization", "name": "Office of Water Quality", "url": "https://www.usgs.gov/mission-areas/water-resources"}]}], "funder": [{"@type": "Organization", "name": "National Water Quality Assessment Program", "url": "https://www.usgs.gov/programs/national-water-quality-program"}], "spatialCoverage": [{"@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/6252001"}, {"@type": "Place", "additionalType": "state", "name": "California", "url": "https://geonames.org/5332921"}]}