Item talk:Q302656
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{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Global groundwater solute composition and concentrations", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70231565", "url": "https://pubs.usgs.gov/publication/70231565" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70231565 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/gwat.13205", "url": "https://doi.org/10.1111/gwat.13205" } ], "journal": { "@type": "Periodical", "name": "Groundwater", "volumeNumber": "60", "issueNumber": "6" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Groundwater" } ], "datePublished": "2022", "dateModified": "2022-11-16", "abstract": "Informed analysis of policies related to food security, global climate change, wetland ecology, environmental nutrient flux, element cycling, groundwater weathering, continental denudation, human health, etc. depends to a large extent on quantitative estimates of solute mass fluxes into and out of all global element pools including the enigmatic global aquifer systems. Herein for the first time, we proffer the mean global solute concentration of all major and selected minor and trace solutes in the active groundwater that represents 99% of liquid fresh water on Earth. Concentrations in this significant element pool have yielded to a geospatial machine learning kNN-nearest neighbors\u2019 algorithm with numerous geospatial predictors utilizing a large new lithology/climate/aquifer age/elevation based solute database. The predicted concentrations are consistent with traditional solute ratios, concentrations, and thermodynamic saturation indices.", "description": "7 p.", "publisher": { "@type": "Organization", "name": "National Ground Water Association" }, "author": [ { "@type": "Person", "name": "Kirchheim, Roberto E.", "givenName": "Roberto E.", "familyName": "Kirchheim" }, { "@type": "Person", "name": "Cherry, John A. ", "givenName": "John A. ", "familyName": "Cherry" }, { "@type": "Person", "name": "Wood, Warren W.", "givenName": "Warren W.", "familyName": "Wood", "affiliation": [ { "@type": "Organization", "name": "Michigan State University" } ] }, { "@type": "Person", "name": "Smedley, Pauline L.", "givenName": "Pauline L.", "familyName": "Smedley" }, { "@type": "Person", "name": "Lindsey, Bruce D. blindsey@usgs.gov", "givenName": "Bruce D.", "familyName": "Lindsey", "email": "blindsey@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-7180-4319", "url": "https://orcid.org/0000-0002-7180-4319" }, "affiliation": [ { "@type": "Organization", "name": "WMA - Earth System Processes Division", "url": "https://www.usgs.gov/mission-areas/water-resources" }, { "@type": "Organization", "name": "National Water Quality Program", "url": "https://www.usgs.gov/programs/national-water-quality-program" }, { "@type": "Organization", "name": "Pennsylvania Water Science Center", "url": "https://www.usgs.gov/centers/pennsylvania-water-science-center" }, { "@type": "Organization", "name": "National Water Quality Assessment Program", "url": "https://www.usgs.gov/programs/national-water-quality-program" } ] }, { "@type": "Person", "name": "Wood, Warren T.", "givenName": "Warren T.", "familyName": "Wood", "affiliation": [ { "@type": "Organization", "name": "Marine Geosciences Division, Naval Research Laboratory" } ] } ], "funder": [ { "@type": "Organization", "name": "WMA - Earth System Processes Division", "url": "https://www.usgs.gov/mission-areas/water-resources" } ] }, "OpenAlex": { "_id": "https://openalex.org/w4225418962", "abstract_inverted_index": { "Abstract": [ 0 ], "Informed": [ 1 ], "analysis": [ 2 ], "of": [ 3, 35, 42, 65, 81 ], "policies": [ 4 ], "related": [ 5 ], "to": [ 6, 28, 95 ], "food": [ 7 ], "security,": [ 8 ], "global": [ 9, 44, 50, 62 ], "climate": [ 10 ], "change,": [ 11 ], "wetland": [ 12 ], "ecology,": [ 13 ], "environmental": [ 14 ], "nutrient": [ 15 ], "flux,": [ 16 ], "element": [ 17, 45, 91 ], "cycling,": [ 18 ], "groundwater": [ 19, 77 ], "weathering,": [ 20 ], "continental": [ 21 ], "denudation,": [ 22 ], "human": [ 23 ], "health,": [ 24 ], "and": [ 25, 40, 68, 71, 126 ], "others": [ 26 ], "depends": [ 27 ], "a": [ 29, 96, 108 ], "large": [ 30, 109 ], "extent": [ 31 ], "on": [ 32, 85 ], "quantitative": [ 33 ], "estimates": [ 34 ], "solute": [ 36, 63, 114, 123 ], "mass": [ 37 ], "fluxes": [ 38 ], "into": [ 39 ], "out": [ 41 ], "all": [ 43, 66 ], "pools": [ 46 ], "including": [ 47 ], "the": [ 48, 55, 60, 75 ], "enigmatic": [ 49 ], "aquifer": [ 51 ], "systems.": [ 52 ], "Herein": [ 53 ], "for": [ 54 ], "first": [ 56 ], "time,": [ 57 ], "we": [ 58 ], "proffer": [ 59 ], "mean": [ 61 ], "concentration": [ 64 ], "major": [ 67 ], "selected": [ 69 ], "minor": [ 70 ], "trace": [ 72 ], "solutes": [ 73 ], "in": [ 74, 88 ], "active": [ 76 ], "that": [ 78 ], "represents": [ 79 ], "99%": [ 80 ], "liquid": [ 82 ], "fresh": [ 83 ], "water": [ 84 ], "Earth.": [ 86 ], "Concentrations": [ 87 ], "this": [ 89 ], "significant": [ 90 ], "pool": [ 92 ], "have": [ 93 ], "yielded": [ 94 ], "geospatial": [ 97, 105 ], "machine": [ 98 ], "learning": [ 99 ], "kNN\u2010nearest": [ 100 ], "neighbors'": [ 101 ], "algorithm": [ 102 ], "with": [ 103, 121 ], "numerous": [ 104 ], "predictors": [ 106 ], "utilizing": [ 107 ], "new": [ 110 ], "lithology/climate/aquifer": [ 111 ], "age/elevation": [ 112 ], "based": [ 113 ], "database.": [ 115 ], "The": [ 116 ], "predicted": [ 117 ], "concentrations": [ 118 ], "are": [ 119 ], "consistent": [ 120 ], "traditional": [ 122 ], "ratios,": [ 124 ], "concentrations,": [ 125 ], "thermodynamic": [ 127 ], "saturation": [ 128 ], "indices.": [ 129 ] }, "apc_list": null, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5066910018", "display_name": "Warren W. 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