Item talk:Q67927
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{
"USGS Publications Warehouse": { "schema": { "@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Methodology to evaluate the effect of sorption in the unsaturated zone on the storage of nitrate and other ions and their transport across the water table, southern New Jersey", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "sir20065074", "url": "https://pubs.usgs.gov/publication/sir20065074" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 79098 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/sir20065074", "url": "https://doi.org/10.3133/sir20065074" } ], "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Scientific Investigations Report" } ], "datePublished": "2006", "dateModified": "2020-01-26", "abstract": "A new field-based approach for determining sorption in the unsaturated zone and its effect on the storage of ions and their transport in recharge to ground water has been demonstrated for a small agricultural watershed in the Coastal Plain of southern New Jersey. Moisture-content and chemical-concentration data obtained from unsaturated-zone-core and shallow-ground-water samples were used to estimate the mass flux of chemical constituents across the water table, as well as sorption coefficients (Kd). The selectivity order of the Kd values for cations is consistent with the expected selectivity order: for example, Na+ > Mg++ > Ca++ for sands. Although calculated sorption coefficients, as expected, were greater for cations than for anions, sorption had a substantial effect on the transport of anions through the unsaturated zone; in particular, average Kd values for NO3- were 0.22 liters per milligram for sands and 0.62 liters per milligram for finer grained sediments. The unsaturated zone in the study area is a large reservoir for nitrogen. Models that do not account for sorption are likely to result in unrealistic predictions of contaminant transport rate and provide overly optimistic expectations for natural cleansing in this watershed and those in other similar hydrogeologic settings.", "description": "vi, 22 p.", "publisher": { "@type": "Organization", "name": "U.S. Geological Survey" }, "author": [ { "@type": "Person", "name": "Reilly, Timothy J. tjreilly@usgs.gov", "givenName": "Timothy J.", "familyName": "Reilly", "email": "tjreilly@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-2939-3050", "url": "https://orcid.org/0000-0002-2939-3050" }, "affiliation": [ { "@type": "Organization", "name": "New Jersey Water Science Center", "url": "https://www.usgs.gov/centers/new-jersey-water-science-center" }, { "@type": "Organization", "name": "Contaminant Biology Program", "url": null } ] }, { "@type": "Person", "name": "Baehr, Arthur L.", "givenName": "Arthur L.", "familyName": "Baehr" } ], "funder": [ { "@type": "Organization", "name": "Toxic Substances Hydrology Program", "url": null } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "New Jersey" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -74.981689453125, 40.027614437486655 ], [ -75.322265625, 39.86758762451019 ], [ -75.5859375, 39.66491373749128 ], [ -75.552978515625, 39.46164364205549 ], [ -75.12451171875, 39.18117526158749 ], [ -74.915771484375, 39.172658670429946 ], [ -75.03662109375, 38.92522904714054 ], [ -74.90478515625, 38.89103282648846 ], [ -74.46533203125, 39.342794408952365 ], [ -74.091796875, 39.9434364619742 ], [ 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