{"pageNumber":"379","pageRowStart":"9450","pageSize":"25","recordCount":16506,"records":[{"id":70021487,"text":"70021487 - 1999 - Methods for developing time-series climate surfaces to drive topographically distributed energy- and water-balance models","interactions":[],"lastModifiedDate":"2024-03-25T23:02:50.704418","indexId":"70021487","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Methods for developing time-series climate surfaces to drive topographically distributed energy- and water-balance models","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Topographically distributed energy- and water-balance models can accurately simulate both the development and melting of a seasonal snowcover in the mountain basins. To do this they require time-series climate surfaces of air temperature, humidity, wind speed, precipitation, and solar and thermal radiation. If data are available, these parameters can be adequately estimated at time steps of one to three hours. Unfortunately, climate monitoring in mountain basins is very limited, and the full range of elevations and exposures that affect climate conditions, snow deposition, and melt is seldom sampled. Detailed time-series climate surfaces have been successfully developed using limited data and relatively simple methods. We present a synopsis of the tools and methods used to combine limited data with simple corrections for the topographic controls to generate high temporal resolution time-series images of these climate parameters. Methods used include simulations, elevational gradients, and detrended kriging. The generated climate surfaces are evaluated at points and spatially to determine if they are reasonable approximations of actual conditions. Recommendations are made for the addition of critical parameters and measurement sites into routine monitoring systems in mountain basins.&nbsp;</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/(SICI)1099-1085(199909)13:12/13<2003::AID-HYP884>3.0.CO;2-K","issn":"08856087","usgsCitation":"Susong, D., Marks, D., and Garen, D., 1999, Methods for developing time-series climate surfaces to drive topographically distributed energy- and water-balance models: Hydrological Processes, v. 13, no. 12-13, p. 2003-2021, https://doi.org/10.1002/(SICI)1099-1085(199909)13:12/13<2003::AID-HYP884>3.0.CO;2-K.","productDescription":"19 p.","startPage":"2003","endPage":"2021","numberOfPages":"19","costCenters":[],"links":[{"id":229098,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"12-13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55b2e4b0c8380cd6d273","contributors":{"authors":[{"text":"Susong, D.","contributorId":30777,"corporation":false,"usgs":true,"family":"Susong","given":"D.","affiliations":[],"preferred":false,"id":390057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marks, D.","contributorId":93217,"corporation":false,"usgs":true,"family":"Marks","given":"D.","email":"","affiliations":[],"preferred":false,"id":390058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garen, D.","contributorId":28395,"corporation":false,"usgs":true,"family":"Garen","given":"D.","email":"","affiliations":[],"preferred":false,"id":390056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021520,"text":"70021520 - 1999 - Iron reduction in the sediments of a hydrocarbon-contaminated aquifer","interactions":[],"lastModifiedDate":"2018-12-19T09:14:34","indexId":"70021520","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Iron reduction in the sediments of a hydrocarbon-contaminated aquifer","docAbstract":"<div id=\"abstracts\" class=\"Abstracts\"><div id=\"aep-abstract-id8\" class=\"abstract author\"><div id=\"aep-abstract-sec-id9\"><p>Sediments sampled at a hydrocarbon-contaminated, glacial-outwash, sandy aquifer near Bemidji, Minnesota, were analyzed for sediment-associated Fe with several techniques. Extraction with 0.5 M HCl dissolved poorly crystalline Fe oxides and small amounts of Fe in crystalline Fe oxides, and extracted Fe from phyllosilicates. Use of Ti-citrate-EDTA-bicarbonate results in more complete removal of crystalline Fe oxides. The average HCl-extractable Fe(III) concentration in the sediments closest to the crude-oil contamination (16.2 μmol/g) has been reduced by up to 30% from background values (23.8 μmol/g) as a result of Fe(III) reduction in contaminated anoxic groundwater. Iron(II) concentrations are elevated in sediments within an anoxic plume in the aquifer. Iron(II) values under the oil body (19.2 μmol/g) are as much as 4 times those in the background sediments (4.6 μmol/g), indicating incorporation of reduced Fe in the contaminated sediments. A 70% increase in total extractable Fe at the anoxic/oxic transition zone indicates reoxidation and precipitation of Fe mobilized from sediment in the anoxic plume. Scanning electron microscopy detected authigenic ferroan calcite in the anoxic sediments and confirmed abundant Fe(III) oxyhydroxides at the anoxic/oxic boundary. The redox biogeochemistry of Fe in this system is coupled to contaminant degradation and is important in predicting processes of hydrocarbon degradation.</p></div></div></div>","language":"English","publisher":"Elsevier ","doi":"10.1016/S0883-2927(98)00089-4","issn":"08832927","usgsCitation":"Tuccillo, M., Cozzarelli, I., and Herman, J., 1999, Iron reduction in the sediments of a hydrocarbon-contaminated aquifer: Applied Geochemistry, v. 14, no. 5, p. 655-667, https://doi.org/10.1016/S0883-2927(98)00089-4.","productDescription":"13 p.","startPage":"655","endPage":"667","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206392,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0883-2927(98)00089-4"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3ef1e4b0c8380cd6417f","contributors":{"authors":[{"text":"Tuccillo, M.E.","contributorId":31936,"corporation":false,"usgs":true,"family":"Tuccillo","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":390174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, I.M. 0000-0002-5123-1007","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":22343,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"I.M.","affiliations":[],"preferred":false,"id":390173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herman, J.S.","contributorId":73345,"corporation":false,"usgs":true,"family":"Herman","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":390175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021522,"text":"70021522 - 1999 - Are shifts in herbicide use reflected in concentration changes in Midwestern rivers?","interactions":[],"lastModifiedDate":"2018-12-21T06:46:17","indexId":"70021522","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Are shifts in herbicide use reflected in concentration changes in Midwestern rivers?","docAbstract":"In many Midwestern rivers, elevated concentrations of herbicides occur during runoff events for 1-3 months following application. The highest or 'peak' herbicide concentration often occurs during one of these runoff events. Herbicide concentrations in rivers are affected by a number of factors, including herbicide use patterns within the associated basin. Changing agricultural practices, reductions in recommended and permitted herbicide applications, shifts to new herbicides, and greater environmental awareness in the agricultural community have resulted in changes to herbicide use patterns. In the Midwestern United States, alachlor use was much larger in 1989 than in 1995, while acetochlor was not used in 1989, and commonly used in 1995. Use of atrazine, cyanazine, and metolachlor was about the same in 1989 and 1995. Herbicide concentrations were measured in samples from 53 Midwestern rivers during the first major runoff event that occurred after herbicide application (postapplication) in 1989, 1990, 1994, and 1995. The median concentrations of atrazine, alachlor, cyanazine, metribuzin, metolachlor, propazine, and simazine all were significantly higher in 1989/90 than in 1994/95. The median acetochlor concentration was higher in 1995 than in 1994. Estimated daily yields for all herbicides and degradation products measured, with the exception of acetochlor, were higher in 1989/90 than in 1994/95. The differences in concentration and yield do not always parallel changes in herbicide use, suggesting that other changes in herbicide or crop management are affecting concentrations in Midwestern rivers during runoff events.In many Midwestern rivers, elevated concentrations of herbicides occur during runoff events for 1-3 months following application. The highest or `peak' herbicide concentration often occurs during one of these runoff events. Herbicide concentrations in rivers are affected by a number of factors, including herbicide use patterns within the associated basin. Changing agricultural practices, reductions in recommended and permitted herbicide applications, shifts to new herbicides, and greater environmental awareness in the agricultural community have resulted in changes to herbicide use patterns. In the Midwestern United States, alachlor use was much larger in 1989 than in 1995, while acetochlor was not used in 1989, and commonly used in 1995. Use of atrazine, cyanazine, and metolachlor was about the same in 1989 and 1995. Herbicide concentrations were measured in samples from 53 Midwestern rivers during the first major runoff event that occurred after herbicide application (postapplication) in 1989, 1990, 1994, and 1995. The median concentrations of atrazine, alachlor, cyanazine, metribuzin, metolachlor, propazine, and simazine all were significantly higher in 1989/90 than in 1994/95. The median acetochlor concentration was higher in 1995 than in 1994. Estimated daily yields for all herbicides and degradation products measured, with the exception of acetochlor, were higher in 1989/90 than in 1994/95. The differences in concentration and yield do not always parallel changes in herbicide use, suggesting that other changes in herbicide or crop management are affecting concentrations in Midwestern rivers during runoff events.","language":"English","publisher":"ACS","doi":"10.1021/es9900149","issn":"0013936X","usgsCitation":"Battaglin, W., and Goolsby, D.A., 1999, Are shifts in herbicide use reflected in concentration changes in Midwestern rivers?: Environmental Science & Technology, v. 33, no. 17, p. 2917-2925, https://doi.org/10.1021/es9900149.","productDescription":"9 p.","startPage":"2917","endPage":"2925","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229067,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206187,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9900149"}],"volume":"33","issue":"17","noUsgsAuthors":false,"publicationDate":"1999-07-27","publicationStatus":"PW","scienceBaseUri":"5059ed5fe4b0c8380cd49786","contributors":{"authors":[{"text":"Battaglin, W.A.","contributorId":16376,"corporation":false,"usgs":true,"family":"Battaglin","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":390183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goolsby, D. A.","contributorId":50508,"corporation":false,"usgs":true,"family":"Goolsby","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":390184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021524,"text":"70021524 - 1999 - Prediction of episodic acidification in North-eastern USA: An empirical/mechanistic approach","interactions":[],"lastModifiedDate":"2012-03-12T17:19:58","indexId":"70021524","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of episodic acidification in North-eastern USA: An empirical/mechanistic approach","docAbstract":"Observations from the US Environmental Protection Agency's Episodic Response Project (ERP) in the North-eastern United States are used to develop an empirical/mechanistic scheme for prediction of the minimum values of acid neutralizing capacity (ANC) during episodes. An acidification episode is defined as a hydrological event during which ANC decreases. The pre-episode ANC is used to index the antecedent condition, and the stream flow increase reflects how much the relative contributions of sources of waters change during the episode. As much as 92% of the total variation in the minimum ANC in individual catchments can be explained (with levels of explanation >70% for nine of the 13 streams) by a multiple linear regression model that includes pre-episode ANC and change in discharge as independent variable. The predictive scheme is demonstrated to be regionally robust, with the regional variance explained ranging from 77 to 83%. The scheme is not successful for each ERP stream, and reasons are suggested for the individual failures. The potential for applying the predictive scheme to other watersheds is demonstrated by testing the model with data from the Panola Mountain Research Watershed in the South-eastern United States, where the variance explained by the model was 74%. The model can also be utilized to assess 'chemically new' and 'chemically old' water sources during acidification episodes.Observations from the US Environmental Protection Agency's Episodic Response Project (ERP) in the Northeastern United States are used to develop an empirical/mechanistic scheme for prediction of the minimum values of acid neutralizing capacity (ANC) during episodes. An acidification episode is defined as a hydrological event during which ANC decreases. The pre-episode ANC is used to index the antecedent condition, and the stream flow increase reflects how much the relative contributions of sources of waters change during the episode. As much as 92% of the total variation in the minimum ANC in individual catchments can be explained (with levels of explanation >70% for nine of the 13 streams) by a multiple linear regression model that includes pre-episode ANC and change in discharge as independent variables. The predictive scheme is demonstrated to be regionally robust, with the regional variance explained ranging from 77 to 83%. The scheme is not successful for each ERP stream, and reasons are suggested for the individual failures. The potential for applying the predictive scheme to other watersheds is demonstrated by testing the model with data from the Panola Mountain Research Watershed in the South-eastern United States, where the variance explained by the model was 74%. The model can also be utilized to assess `chemically new' and `chemically old' water sources during acidification episodes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd","publisherLocation":"Chichester, United Kingdom","doi":"10.1002/(SICI)1099-1085(19990615)13:8<1181::AID-HYP767>3.0.CO;2-9","issn":"08856087","usgsCitation":"Davies, T., Tranter, M., Wigington, P., Eshleman, K., Peters, N., Van Sickle, J., DeWalle, D.R., and Murdoch, P., 1999, Prediction of episodic acidification in North-eastern USA: An empirical/mechanistic approach: Hydrological Processes, v. 13, no. 8, p. 1181-1195, https://doi.org/10.1002/(SICI)1099-1085(19990615)13:8<1181::AID-HYP767>3.0.CO;2-9.","startPage":"1181","endPage":"1195","numberOfPages":"15","costCenters":[],"links":[{"id":206201,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/(SICI)1099-1085(19990615)13:8<1181::AID-HYP767>3.0.CO;2-9"},{"id":229100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81ede4b0c8380cd7b7e2","contributors":{"authors":[{"text":"Davies, T.D.","contributorId":86513,"corporation":false,"usgs":true,"family":"Davies","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":390193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tranter, M.","contributorId":22525,"corporation":false,"usgs":true,"family":"Tranter","given":"M.","email":"","affiliations":[],"preferred":false,"id":390188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wigington, P.J. Jr.","contributorId":96433,"corporation":false,"usgs":true,"family":"Wigington","given":"P.J.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":390194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eshleman, K.N.","contributorId":12632,"corporation":false,"usgs":true,"family":"Eshleman","given":"K.N.","email":"","affiliations":[],"preferred":false,"id":390187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":390190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Sickle, J.","contributorId":79252,"corporation":false,"usgs":true,"family":"Van Sickle","given":"J.","email":"","affiliations":[],"preferred":false,"id":390192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeWalle, David R.","contributorId":23291,"corporation":false,"usgs":true,"family":"DeWalle","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":390189,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murdoch, Peter S.","contributorId":73547,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter S.","affiliations":[],"preferred":false,"id":390191,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70021575,"text":"70021575 - 1999 - Comparison of the stable-isotopic composition of soil water collected from suction lysimeters, wick samplers, and cores in a sandy unsaturated zone","interactions":[],"lastModifiedDate":"2018-12-19T10:01:22","indexId":"70021575","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of the stable-isotopic composition of soil water collected from suction lysimeters, wick samplers, and cores in a sandy unsaturated zone","docAbstract":"<p><span>Soil water collected from suction lysimeters and wick samplers buried in the unsaturated zone of a sand and gravel aquifer and extracted from soil cores were analyzed for stable oxygen and hydrogen isotope values. Soil water isotopic values differed among the three sampling methods in most cases. However, because each sampling method collected different fractions of the total soil-water reservoir, the isotopic differences indicated that the soil water at a given depth and time was isotopically heterogeneous. This heterogeneity reflects the presence of relatively more and less mobile components of soil water. Isotopic results from three field tests indicated that 95&ndash;100% of the water collected from wick samplers was mobile soil water while samples from suction lysimeters and cores were mixtures of more and less mobile soil water. Suction lysimeter samples contained a higher proportion of more mobile water (15&ndash;95%) than samples from cores (5&ndash;80%) at the same depth. The results of this study indicate that, during infiltration events, soil water collected with wick samplers is more representative of the mobile soil water that is likely to recharge ground water during or soon after the event than soil water from suction lysimeters or cores.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/S0022-1694(99)00120-1","issn":"00221694","usgsCitation":"Landon, M., Delin, G., Komor, S., and Regan, C., 1999, Comparison of the stable-isotopic composition of soil water collected from suction lysimeters, wick samplers, and cores in a sandy unsaturated zone: Journal of Hydrology, v. 224, no. 1-2, p. 45-54, https://doi.org/10.1016/S0022-1694(99)00120-1.","productDescription":"10 p.","startPage":"45","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206278,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0022-1694(99)00120-1"}],"volume":"224","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f8b0e4b0c8380cd4d224","contributors":{"authors":[{"text":"Landon, M.K. 0000-0002-5766-0494","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":69572,"corporation":false,"usgs":true,"family":"Landon","given":"M.K.","affiliations":[],"preferred":false,"id":390348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delin, G. N.","contributorId":12834,"corporation":false,"usgs":true,"family":"Delin","given":"G. N.","affiliations":[],"preferred":false,"id":390345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Komor, S.C.","contributorId":21182,"corporation":false,"usgs":true,"family":"Komor","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":390346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regan, C.P.","contributorId":37364,"corporation":false,"usgs":true,"family":"Regan","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":390347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021626,"text":"70021626 - 1999 - The distribution of, and relation among, mercury and methylmercury, organic carbon, carbonate, nitrogen and phosphorus, in periphyton of the south Florida ecosystem","interactions":[],"lastModifiedDate":"2018-12-19T10:20:45","indexId":"70021626","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3609,"text":"Toxicological and Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The distribution of, and relation among, mercury and methylmercury, organic carbon, carbonate, nitrogen and phosphorus, in periphyton of the south Florida ecosystem","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>Periphyton samples from Water Conservation Areas, Big Cypress National Preserve, and Everglades National Park in south Florida were analyzed for concentrations of total mercury, methylmercury, nitrogen, phosphorus, organic carbon, and inorganic carbon. Concentrations of total mercury in periphyton decrease slightly along a gradient from north‐to‐south. Both total mercury and methylmercury are positively correlated with organic carbon, nitrogen and phosphorus in periphyton. In horizontal sections of periphyton mats, total mercury concentrations tend to be largest at the tops and bottoms of the mats. Methylmercury concentrations tend to be the largest near the bottom of mats. These localized elevated concentrations of methylmercury suggest that there are “hot spots”; of methylmercury in periphyton.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02772249909358722","issn":"02772248","usgsCitation":"Simon, N., Spencer, R., and Cox, T., 1999, The distribution of, and relation among, mercury and methylmercury, organic carbon, carbonate, nitrogen and phosphorus, in periphyton of the south Florida ecosystem: Toxicological and Environmental Chemistry, v. 69, no. 3-4, p. 417-433, https://doi.org/10.1080/02772249909358722.","productDescription":"17 p.","startPage":"417","endPage":"433","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229513,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"69","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baae0e4b08c986b322a87","contributors":{"authors":[{"text":"Simon, N.S.","contributorId":103272,"corporation":false,"usgs":true,"family":"Simon","given":"N.S.","email":"","affiliations":[],"preferred":false,"id":390525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, R.","contributorId":34542,"corporation":false,"usgs":true,"family":"Spencer","given":"R.","affiliations":[],"preferred":false,"id":390523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, T.","contributorId":42249,"corporation":false,"usgs":true,"family":"Cox","given":"T.","email":"","affiliations":[],"preferred":false,"id":390524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021630,"text":"70021630 - 1999 - Inhibition of precipitation and aggregation of metacinnabar (mercuric sulfide) by dissolved organic matter isolated from the Florida Everglades","interactions":[],"lastModifiedDate":"2018-12-19T10:16:38","indexId":"70021630","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of precipitation and aggregation of metacinnabar (mercuric sulfide) by dissolved organic matter isolated from the Florida Everglades","docAbstract":"<div class=\"hlFld-Abstract\"><div id=\"abstractBox\"><p class=\"articleBody_abstractText\">Precipitation and aggregation of metacinnabar (black HgS) was inhibited in the presence of low concentrations (≥3 mg C/L) of humic fractions of dissolved organic matter (DOM) isolated from the Florida Everglades. At low Hg concentrations (≤5 × 10<sup>-</sup><sup>8</sup><span>&nbsp;</span>M), DOM prevented the precipitation of metacinnabar. At moderate Hg concentrations (5 × 10<sup>-</sup><sup>5</sup><span>&nbsp;</span>M), DOM inhibited the aggregation of colloidal metacinnabar (Hg passed through a 0.1 μm filter but was removed by centrifugation). At Hg concentrations greater than 5 × 10<sup>-</sup><sup>4</sup><span>&nbsp;</span>M, mercury formed solid metacinnabar particles that were removed from solution by a 0.1 μm filter. Organic matter rich in aromatic moieties was preferentially removed with the solid. Hydrophobic organic acids (humic and fulvic acids) inhibited aggregation better than hydrophilic organic acids. The presence of chloride, acetate, salicylate, EDTA, and cysteine did not inhibit the precipitation or aggregation of metacinnabar. Calcium enhanced metacinnabar aggregation even in the presence of DOM, but the magnitude of the effect was dependent on the concentrations of DOM, Hg, and Ca. Inhibition of metacinnabar precipitation appears to be a result of strong DOM-Hg binding. Prevention of aggregation of colloidal particles appears to be caused by adsorption of DOM and electrostatic repulsion.</p></div></div>","language":"English","publisher":"ACS","doi":"10.1021/es9811187","issn":"0013936X","usgsCitation":"Ravichandran, M., Aiken, G., Ryan, J.N., and Reddy, M., 1999, Inhibition of precipitation and aggregation of metacinnabar (mercuric sulfide) by dissolved organic matter isolated from the Florida Everglades: Environmental Science & Technology, v. 33, no. 9, p. 1418-1423, https://doi.org/10.1021/es9811187.","productDescription":"8 p.","startPage":"1418","endPage":"1423","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206379,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9811187"}],"volume":"33","issue":"9","noUsgsAuthors":false,"publicationDate":"1999-03-24","publicationStatus":"PW","scienceBaseUri":"505a3bdae4b0c8380cd6289f","contributors":{"authors":[{"text":"Ravichandran, M.","contributorId":97661,"corporation":false,"usgs":true,"family":"Ravichandran","given":"M.","affiliations":[],"preferred":false,"id":390535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, G. R. 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":14452,"corporation":false,"usgs":true,"family":"Aiken","given":"G. R.","affiliations":[],"preferred":false,"id":390533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, J. N.","contributorId":102649,"corporation":false,"usgs":true,"family":"Ryan","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":390536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reddy, M.M.","contributorId":24363,"corporation":false,"usgs":true,"family":"Reddy","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":390534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021632,"text":"70021632 - 1999 - Reactive solute transport in streams: A surface complexation approach for trace metal sorption","interactions":[],"lastModifiedDate":"2018-12-19T10:40:00","indexId":"70021632","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Reactive solute transport in streams: A surface complexation approach for trace metal sorption","docAbstract":"<p><span>A model for trace metals that considers in-stream transport, metal oxide precipitation-dissolution, and pH-dependent sorption is presented. Linkage between a surface complexation submodel and the stream transport equations provides a framework for modeling sorption onto static and/or dynamic surfaces. A static surface (e.g., an iron- oxide-coated streambed) is defined as a surface with a temporally constant solid concentration. Limited contact between solutes in the water column and the static surface is considered using a pseudokinetic approach. A dynamic surface (e.g., freshly precipitated metal oxides) has a temporally variable solid concentration and is in equilibrium with the water column. Transport and deposition of solute mass sorbed to the dynamic surface is represented in the stream transport equations that include precipitate settling. The model is applied to a pH-modification experiment in an acid mine drainage stream. Dissolved copper concentrations were depressed for a 3 hour period in response to the experimentally elevated pH. After passage of the pH front, copper was desorbed, and dissolved concentrations returned to ambient levels. Copper sorption is modeled by considering sorption to aged hydrous ferric oxide (HFO) on the streambed (static surface) and freshly precipitated HFO in the water column (dynamic surface). Comparison of parameter estimates with reported values suggests that naturally formed iron oxides may be more effective in removing trace metals than synthetic oxides used in laboratory studies. The model's ability to simulate pH, metal oxide precipitation-dissolution, and pH-dependent sorption provides a means of evaluating the complex interactions between trace metal chemistry and hydrologic transport at the field scale.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/1999WR900259","usgsCitation":"Runkel, R.L., Kimball, B.A., McKnight, D.M., and Bencala, K.E., 1999, Reactive solute transport in streams: A surface complexation approach for trace metal sorption: Water Resources Research, v. 35, no. 12, p. 3829-3840, https://doi.org/10.1029/1999WR900259.","productDescription":"12 p.","startPage":"3829","endPage":"3840","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487401,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1999wr900259","text":"Publisher Index Page"},{"id":229622,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9589e4b0c8380cd81a9c","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":390547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":390546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":390545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":390548,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021670,"text":"70021670 - 1999 - A method for nitrate collection for δ<sup>15</sup>N and δ<sup>18</sup>O analysis from waters with low nitrate concentrations","interactions":[],"lastModifiedDate":"2018-12-14T07:35:16","indexId":"70021670","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A method for nitrate collection for δ<sup>15</sup>N and δ<sup>18</sup>O analysis from waters with low nitrate concentrations","docAbstract":"<p>&nbsp;Recently, methods have been developed to analyze NO3- for &delta;15N and &delta;18O, improving our ability to identify NO3- sources and transformations. However, none of the existing methods are suited for waters with low NO3- concentrations (0.7-10 &micro;M). We describe an improved method for collecting and recovering NO3- on exchange columns. To overcome the lengthy collection loading times imposed by the large sample volumes (7-70 L), the sample was prefiltered (0.45 &micro;m) with a large surface area filter. Switching to AG2X anion resin and using a coarser mesh size (100-200) than previous methods also enhanced sample flow. Placement of a cation column in front of the anion column minimized clogging of the anion column by dissolved organic carbon (DOC) accumulation. This also served to minimize transfer of unwanted oxygen atoms from DOC to the 18O portion of the NO3- sample, thereby contaminating the sample and shifting &delta;18O. The cat-AG2X method is suited for on-site sample collection, making it possible to collect and recover NO3- from low ionic strength waters with modest DOC concentrations (80-800 &micro;M), relieves the investigator of transporting large volumes of water back to the laboratory, and offers a means of sampling rain, snow, snowmelt, and stream samples from access-limited sites. <br /><br /></p>","language":"English","publisher":"Canadian Science","doi":"10.1139/f99-126","issn":"0706652X","usgsCitation":"Chang, C.C., Langston, J., Riggs, M., Campbell, K., Silva, S.R., and Kendall, C., 1999, A method for nitrate collection for δ<sup>15</sup>N and δ<sup>18</sup>O analysis from waters with low nitrate concentrations: Canadian Journal of Fisheries and Aquatic Sciences, v. 56, no. 10, p. 1856-1864, https://doi.org/10.1139/f99-126.","productDescription":"9 p.","startPage":"1856","endPage":"1864","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e455e4b0c8380cd465bb","contributors":{"authors":[{"text":"Chang, Cecily C.Y.","contributorId":68032,"corporation":false,"usgs":true,"family":"Chang","given":"Cecily","email":"","middleInitial":"C.Y.","affiliations":[],"preferred":false,"id":390664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langston, J.","contributorId":24511,"corporation":false,"usgs":true,"family":"Langston","given":"J.","email":"","affiliations":[],"preferred":false,"id":390660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riggs, M.","contributorId":19726,"corporation":false,"usgs":true,"family":"Riggs","given":"M.","email":"","affiliations":[],"preferred":false,"id":390659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, K.","contributorId":63351,"corporation":false,"usgs":false,"family":"Campbell","given":"K.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":390663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silva, S. R.","contributorId":27474,"corporation":false,"usgs":true,"family":"Silva","given":"S.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":390661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":390662,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70021713,"text":"70021713 - 1999 - Transport and attenuation of carboxylate-modified latex microspheres in fractured rock laboratory and field tracer tests","interactions":[],"lastModifiedDate":"2018-12-19T10:18:16","indexId":"70021713","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Transport and attenuation of carboxylate-modified latex microspheres in fractured rock laboratory and field tracer tests","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Understanding colloid transport in ground water is essential to assessing the migration of colloid‐size contaminants, the facilitation of dissolved contaminant transport by colloids, in situ bioremediation, and the health risks of pathogen contamination in drinking water wells. Much has been learned through laboratory and field‐scale colloid tracer tests, but progress has been hampered by a lack of consistent tracer testing methodology at different scales and fluid velocities. This paper presents laboratory and field tracer tests in fractured rock that use the same type of colloid tracer over an almost three orders‐of‐magnitude range in scale and fluid velocity. Fluorescently‐dyed carboxylate‐modified latex (CML) microspheres (0.19 to 0.98 μm diameter) were used as tracers in (1) a naturally fractured tuff sample, (2) a large block of naturally fractured granite, (3) a fractured granite field site, and (4) another fractured granite/schist field site. In all cases, the mean transport time of the microspheres was shorter than the solutes, regardless of detection limit. In all but the smallest scale test, only a fraction of the injected microsphere mass was recovered, with the smaller microspheres being recovered to a greater extent than the larger microspheres. Using existing theory, we hypothesize that the observed microsphere early arrival was due to volume exclusion and attenuation was due to aggregation and/or settling during transport. In most tests, microspheres were detected using flow cytometry, which proved to be an excellent method of analysis. CML microspheres appear to be useful tracers for fractured rock in forced gradient and short‐term natural gradient tests, but longer residence times may result in small microsphere recoveries.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.1999.tb01116.x","issn":"0017467X","usgsCitation":"Becker, M., Reimus, P., and Vilks, P., 1999, Transport and attenuation of carboxylate-modified latex microspheres in fractured rock laboratory and field tracer tests: Ground Water, v. 37, no. 3, p. 387-395, https://doi.org/10.1111/j.1745-6584.1999.tb01116.x.","productDescription":"9 p.","startPage":"387","endPage":"395","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229626,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2005-08-04","publicationStatus":"PW","scienceBaseUri":"505bb734e4b08c986b327100","contributors":{"authors":[{"text":"Becker, M.W.","contributorId":35896,"corporation":false,"usgs":true,"family":"Becker","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":390863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reimus, P.W.","contributorId":91266,"corporation":false,"usgs":true,"family":"Reimus","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":390865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vilks, P.","contributorId":49134,"corporation":false,"usgs":true,"family":"Vilks","given":"P.","email":"","affiliations":[],"preferred":false,"id":390864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021722,"text":"70021722 - 1999 - Occurrence and behavior of the herbicide Prometon in the hydrologic system","interactions":[],"lastModifiedDate":"2012-03-12T17:19:42","indexId":"70021722","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and behavior of the herbicide Prometon in the hydrologic system","docAbstract":"Prometon, a triazine herbicide, is used for total vegetation control on industrial sites, on noncrop areas on farms, in and under asphalt, and to a small extent by homeowners. Prometon has often been detected in surface water and groundwater in studies reported in the literature, but its presence is seldom discussed, partly because of its infrequent inclusion on lists of herbicides used in either agricultural or urban areas. In recent large-scale studies by the U.S. Geological Survey, prometon has been the most commonly detected herbicide in surface water and groundwater in urban areas and the third and fourth most commonly detected herbicide in groundwater and surface water, respectively, in agricultural areas. It also has been detected in rain. The frequent detection of prometon in the environment is discussed in relation to its use practices and predicted environmental behavior. Prometon is compared to atrazine, a structurally similar agricultural triazine herbicide that is one of the most studied and most commonly detected herbicides found in the hydrologic environment. The environmental data presented here demonstrate the wide-scale occurrence of prometon in all components of the hydrologic system, particularly in the surface water and groundwater of urban areas.Prometon, a triazine herbicide, is used for total vegetation control on industrial sites, on noncrop areas on farms, in and under asphalt, and to a small extent by homeowners. Prometon has often been detected in surface water and groundwater in studies reported in the literature, but its presence is seldom discussed, partly because of its infrequent inclusion on lists of herbicides used in either agricultural or urban areas. In recent large-scale studies by the U.S. Geological Survey, prometon has been the most commonly detected herbicide in surface water and groundwater in urban areas and the third and fourth most commonly detected herbicide in groundwater and surface water, respectively, in agricultural areas. It also has been detected in rain. The frequent detection of prometon in the environment is discussed in relation to its use practices and predicted environmental behavior. Prometon is compared to atrazine, a structurally similar agricultural triazine herbicide that is one of the most studied and most commonly detected herbicides found in the hydrologic environment. The environmental data presented here demonstrate the wide-scale occurrence of prometon in all components of the hydrologic system, particularly in the surface water and groundwater of urban areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS","publisherLocation":"Washington, DC, United States","doi":"10.1021/es9807340","issn":"0013936X","usgsCitation":"Capel, P., Spexet, A., and Larson, S., 1999, Occurrence and behavior of the herbicide Prometon in the hydrologic system: Environmental Science & Technology, v. 33, no. 5, p. 674-680, https://doi.org/10.1021/es9807340.","startPage":"674","endPage":"680","numberOfPages":"7","costCenters":[],"links":[{"id":206281,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9807340"},{"id":229296,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","noUsgsAuthors":false,"publicationDate":"1999-01-27","publicationStatus":"PW","scienceBaseUri":"505a6b2ae4b0c8380cd74559","contributors":{"authors":[{"text":"Capel, P. D. 0000-0003-1620-5185","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":95498,"corporation":false,"usgs":true,"family":"Capel","given":"P. D.","affiliations":[],"preferred":false,"id":390908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spexet, A.H.","contributorId":9020,"corporation":false,"usgs":true,"family":"Spexet","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":390906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, S.J.","contributorId":17641,"corporation":false,"usgs":true,"family":"Larson","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":390907,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021755,"text":"70021755 - 1999 - Explaining spatial variability in mean annual runoff in the conterminous United States","interactions":[],"lastModifiedDate":"2023-09-08T15:40:59.04032","indexId":"70021755","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1249,"text":"Climate Research","active":true,"publicationSubtype":{"id":10}},"title":"Explaining spatial variability in mean annual runoff in the conterminous United States","docAbstract":"<p><span>The hydrologic concepts needed in a water-balance model to estimate the spatial variation in mean annual runoff for the 344 climate divisions in the conterminous United States (U.S.) were determined. The concepts that were evaluated were the climatic supply of water (precipitation), climatic demand for water (potential evapotranspiration), seasonality in supply and demand, and soil-moisture-storage capacity. Most (91%) of the spatial variability in mean annual runoff for the climate divisions in the conterminous U.S. was explained by the spatial variability of mean annual precipitation minus mean annual potential evapotranspiration. When soil-moisture-storage capacity and seasonality in supply and demand were added to the water balance, the explained variance in mean annual runoff increased slightly, and the error in estimated mean annual runoff decreased significantly. Adding soil-moisture-storage capacity and seasonality in supply and demand provided the most improvement in areas where seasonal supply and demand are out of phase.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/cr011149","usgsCitation":"Wolock, D.M., and McCabe, G.J., 1999, Explaining spatial variability in mean annual runoff in the conterminous United States: Climate Research, v. 11, no. 2, p. 149-159, https://doi.org/10.3354/cr011149.","productDescription":"11 p.","startPage":"149","endPage":"159","numberOfPages":"11","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":489821,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/cr011149","text":"Publisher Index Page"},{"id":229298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n            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         31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                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]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e04e4b0c8380cd53283","contributors":{"authors":[{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":391035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":391034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021949,"text":"70021949 - 1999 - Effects of unsaturated zone on ground-water mounding","interactions":[],"lastModifiedDate":"2012-03-12T17:19:38","indexId":"70021949","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effects of unsaturated zone on ground-water mounding","docAbstract":"The design of infiltration basins used to dispose of treated wastewater or for aquifer recharge often requires estimation of ground-water mounding beneath the basin. However, the effect that the unsaturated zone has on water-table response to basin infiltration often has been overlooked in this estimation. A comparison was made between two methods used to estimate ground-water mounding-an analytical approach that is limited to the saturated zone and a numerical approach that incorporates both the saturated and the unsaturated zones. Results indicate that the error that is introduced by a method that ignores the effects of the unsaturated zone on ground-water mounding increases as the basin-loading period is shortened; as the depth to the water table increases, with increasing subsurface anisotropy; and with the inclusion of fine-textured strata. Additionally, such a method cannot accommodate the dynamic nature of basin infiltration, the finite transmission time of the infiltration front to the water table, or the interception of the basin floor by the capillary fringe.The design of infiltration basins used to dispose of treated wastewater or for aquifer recharge often requires estimation of ground-water mounding beneath the basin. However, the effect that the unsaturated zone has on water-table response to basin infiltration often has been overlooked in this estimation. A comparison was made between two methods used to estimate ground-water mounding - an analytical approach that is limited to the saturated zone and a numerical approach that incorporates both the saturated and the unsaturated zones. Results indicate that the error that is introduced by a method that ignores the effects of the unsaturated zone on ground-water mounding increases as the basin-loading period is shortened; as the depth to the water table increases, with increasing subsurface anisotropy; and with the inclusion of fine-textured strata. Additionally, such a method cannot accommodate the dynamic nature of basin infiltration, the finite transmission time of the infiltration front to the water, or the interception of the basin floor by the capillary fringe.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA, United States","doi":"10.1061/(ASCE)1084-0699(1999)4:1(65)","issn":"10840699","usgsCitation":"Sumner, D.M., Rolston, D., and Marino, M., 1999, Effects of unsaturated zone on ground-water mounding: Journal of Hydrologic Engineering, v. 4, no. 1, p. 65-69, https://doi.org/10.1061/(ASCE)1084-0699(1999)4:1(65).","startPage":"65","endPage":"69","numberOfPages":"5","costCenters":[],"links":[{"id":229534,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206364,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(1999)4:1(65)"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a081ce4b0c8380cd519a4","contributors":{"authors":[{"text":"Sumner, D. M.","contributorId":100827,"corporation":false,"usgs":true,"family":"Sumner","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":391820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rolston, D.E.","contributorId":70137,"corporation":false,"usgs":true,"family":"Rolston","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":391819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marino, M.A.","contributorId":26833,"corporation":false,"usgs":true,"family":"Marino","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":391818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021935,"text":"70021935 - 1999 - Stochastic analysis of virus transport in aquifers","interactions":[],"lastModifiedDate":"2018-12-19T09:08:50","indexId":"70021935","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic analysis of virus transport in aquifers","docAbstract":"<p><span>A large-scale model of virus transport in aquifers is derived using spectral perturbation analysis. The effects of spatial variability in aquifer hydraulic conductivity and virus transport (attachment, detachment, and inactivation) parameters on large-scale virus transport are evaluated. A stochastic mean model of virus transport is developed by linking a simple system of local-scale free-virus transport and attached-virus conservation equations from the current literature with a random-field representation of aquifer and virus transport properties. The resultant mean equations for free and attached viruses are found to differ considerably from the local-scale equations on which they are based and include effects such as a free-virus effective velocity that is a function of aquifer heterogeneity as well as virus transport parameters. Stochastic mean free-virus breakthrough curves are compared with local model output in order to observe the effects of spatial variability on mean one-dimensional virus transport in three-dimensionally heterogeneous porous media. Significant findings from this theoretical analysis include the following: (1) Stochastic model breakthrough occurs earlier than local model breakthrough, and this effect is most pronounced for the least conductive aquifers studied. (2) A high degree of aquifer heterogeneity can lead to virus breakthrough actually preceding that of a conservative tracer. (3) As the mean hydraulic conductivity is increased, the mean model shows less sensitivity to the variance of the natural-logarithm hydraulic conductivity and mean virus diameter. (4) Incorporation of a heterogeneous colloid filtration term results in higher predicted concentrations than a simple first-order adsorption term for a given mean attachment rate. (5) Incorporation of aquifer heterogeneity leads to a greater range of virus diameters for which significant breakthrough occurs. (6) The mean model is more sensitive to the inactivation rate of viruses associated with solid surfaces than to the inactivation rate of viruses in solution.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/1999WR900059","usgsCitation":"Campbell Rehmann, L.L., Welty, C., and Harvey, R.W., 1999, Stochastic analysis of virus transport in aquifers: Water Resources Research, v. 35, no. 7, p. 1987-2006, https://doi.org/10.1029/1999WR900059.","productDescription":"20 p.","startPage":"1987","endPage":"2006","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229457,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9849e4b08c986b31bf5a","contributors":{"authors":[{"text":"Campbell Rehmann, Linda L.","contributorId":15073,"corporation":false,"usgs":false,"family":"Campbell Rehmann","given":"Linda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":391765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Claire","contributorId":39416,"corporation":false,"usgs":true,"family":"Welty","given":"Claire","email":"","affiliations":[],"preferred":false,"id":391766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":391764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021876,"text":"70021876 - 1999 - Quantification of aerobic biodegradation and volatilization rates of gasoline hydrocarbons near the water table under natural attenuation conditions","interactions":[],"lastModifiedDate":"2018-12-19T09:13:11","indexId":"70021876","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of aerobic biodegradation and volatilization rates of gasoline hydrocarbons near the water table under natural attenuation conditions","docAbstract":"<p><span>Aerobic biodegradation and volatilization near the water table constitute a coupled pathway that contributes significantly to the natural attenuation of hydrocarbons at gasoline spill sites. Rates of hydrocarbon biodegradation and volatilization were quantified by analyzing vapor transport in the unsaturated zone at a gasoline spill site in Beaufort, South Carolina. Aerobic biodgradation rates decreased with distance above the water table, ranging from 0.20 to 1.5 g m</span><sup>−3</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>for toluene, from 0.24 to 0.38 g m</span><sup>−3</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>for xylene, from 0.09 to 0.24 g m</span><sup>−3</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>for cyclohexene, from 0.05 to 0.22 g m</span><sup>−3</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>for ethylbenzene, and from 0.02 to 0.08 g m</span><sup>−3</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>for benzene. Rates were highest in the capillary zone, where 68% of the total hydrocarbon mass that volatilized from the water table was estimated to have been biodegraded. Hydrocarbons were nearly completely degraded within 1m above the water table. This large loss underscores the importance of aerobic biodradation in limiting the transport of hydrocarbon vapors in the unsaturated zone and implies that vapor‐plume migration to basements and other points of contact may only be significant if a source of free product is present. Furthermore, because transport of the hydrocarbon in the unsaturated zone can be limited relative to that of oxygen and carbon dioxide, soil‐gas surveys conducted at hydrocarbon‐spill sites would benefit by the inclusion of oxygen‐ and carbon‐dioxide‐gas concentration measurements. Aerobic degradation kinetics in the unsaturated zone were approximately first‐order. First‐order rate constants near the water table were highest for cyclohexene (0.21–0.65 d</span><sup>−1</sup><span>) and nearly equivalent for ethylbenzene (0.11–0.31 d</span><sup>−1</sup><span>), xylenes (0.10–0.31 d</span><sup>−1</sup><span>), toluene (0.09–0.30 d</span><sup>−1</sup><span>), and benzene (0.07–0.31 d</span><sup>−1</sup><span>). Hydrocarbon mass loss rates at the water table resulting from the coupled aerobic biodgradation and volatilization process were determined by extrapolating gas transport rates through the capillary zone. Mass loss rates from groundwater were highest for toluene (0.20–0.84 g m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>), followed by xylenes (0.12–0.69 g m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>), cyclohexene (0.05–0.15 g m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>), ethylbenzene (0.02–0.12 g m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>), and benzene (0.01–0.04 g m</span><sup>−2</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>). These rates exceed predicted rates of solubilization to groundwater, demonstrating the effectiveness of aerobic biodgradation and volatilization as a combined natural attenuation pathway.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/1998WR900087","usgsCitation":"Lahvis, M.A., Baehr, A.L., and Baker, R.J., 1999, Quantification of aerobic biodegradation and volatilization rates of gasoline hydrocarbons near the water table under natural attenuation conditions: Water Resources Research, v. 35, no. 3, p. 753-765, https://doi.org/10.1029/1998WR900087.","productDescription":"13 p.","startPage":"753","endPage":"765","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":479647,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/1998wr900087","text":"Publisher Index Page"},{"id":229531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91a8e4b0c8380cd803a7","contributors":{"authors":[{"text":"Lahvis, Matthew A.","contributorId":104522,"corporation":false,"usgs":true,"family":"Lahvis","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":391520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baehr, Arthur L.","contributorId":104523,"corporation":false,"usgs":true,"family":"Baehr","given":"Arthur","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":391518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":391519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70021845,"text":"70021845 - 1999 - Chemical weathering in a tropical watershed, Luquillo Mountains, Puerto Rico III: Quartz dissolution rates","interactions":[],"lastModifiedDate":"2012-03-12T17:19:37","indexId":"70021845","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Chemical weathering in a tropical watershed, Luquillo Mountains, Puerto Rico III: Quartz dissolution rates","docAbstract":"The paucity of weathering rates for quartz in the natural environment stems both from the slow rate at which quartz dissolves and the difficulty in differentiating solute Si contributed by quartz from that derived from other silicate minerals. This study, a first effort in quantifying natural rates of quartz dissolution, takes advantage of extremely rapid tropical weathering, simple regolith mineralogy, and detailed information on hydrologic and chemical transport. Quartz abundances and grain sizes are relatively constant with depth in a thick saprolite. Limited quartz dissolution is indicated by solution rounding of primary angularity and by the formation of etch pits. A low correlation of surface area (0.14 and 0.42 m2 g-1) with grain size indicates that internal microfractures and pitting are the principal contributors to total surface area. Pore water silica concentration increases linearly with depth. On a molar basis, between one and three quarters of pore water silica is derived from quartz with the remainder contributed from biotite weathering. Average solute Si remains thermodynamically undersaturated with respect to recently revised estimates of quartz solubility (<180 ??M) but exceeds estimated critical saturation concentrations controlling the initiation of etch pit formation (>17-81 ??M). Etch pitting is more abundant on grains in the upper saprolite and is associated with pore waters lower in dissolved silica. Rate constants describing quartz dissolution increase with decreasing depth (from 10-14.5-10-15.1 mol m-2 s-1), which correlate with both greater thermodynamic undersaturation and increasing etch pit densities. Unlike for many aluminosilicates, the calculated natural weathering rates of quartz fall slightly below the rate constants previously reported for experimental studies (10-12.4-10-14.2 mol m-2 s-1). This agreement reflects the structural simplicity of quartz, dilute solutes, and near-hydrologic saturation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0016-7037(99)00056-3","issn":"00167037","usgsCitation":"Schulz, M.S., and White, A.F., 1999, Chemical weathering in a tropical watershed, Luquillo Mountains, Puerto Rico III: Quartz dissolution rates: Geochimica et Cosmochimica Acta, v. 63, no. 3-4, p. 337-350, https://doi.org/10.1016/S0016-7037(99)00056-3.","startPage":"337","endPage":"350","numberOfPages":"14","costCenters":[],"links":[{"id":206385,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0016-7037(99)00056-3"},{"id":229600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f598e4b0c8380cd4c2e8","contributors":{"authors":[{"text":"Schulz, M. S.","contributorId":7299,"corporation":false,"usgs":true,"family":"Schulz","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":391394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, A. F.","contributorId":36546,"corporation":false,"usgs":true,"family":"White","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":391395,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70021807,"text":"70021807 - 1999 - Chlorinated hydrocarbon pesticides and polychlorinated biphenyls in sediment cores from San Francisco Bay","interactions":[],"lastModifiedDate":"2020-01-05T17:51:38","indexId":"70021807","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chlorinated hydrocarbon pesticides and polychlorinated biphenyls in sediment cores from San Francisco Bay","docAbstract":"<p>Sediment cores of known chronology from Richardson and San Pablo Bays in San Francisco Bay, CA, were analyzed for a suite of chlorinated hydrocarbon pesticides and polychlorinated biphenyls to reconstruct a historic record of inputs. Total DDTs (DDT = 2,4'- and 4,4'-dichlorodiphenyltrichloroethane and the metabolites, 2,4'- and 4,4'-DDE, -DDD) range in concentration from 4-21 ng/g and constitute a major fraction (&gt; 84%) of the total pesticides in the top 70 cm of Richardson Bay sediment. A subsurface maximum corresponds to a peak deposition date of 1969-1974. The first measurable DDT levels are found in sediment deposited in the late 1930's. The higher DDT inventory in the San Pablo relative to the Richardson Bay core probably reflects the greater proximity of San Pablo Bay to agricultural activities in the watershed of the Sacramento and San Joaquin rivers. Total polychlorinated biphenyls (PCBs) occur at comparable levels in the two Bays (&lt; 1-34 ng/g). PCBs are first detected in sediment deposited during the 1930's in Richardson Bay, about a decade earlier than the onset of detectable levels of DDTs. PCB inventories in San Pablo Bay are about a factor of four higher in the last four decades than in Richardson Bay, suggesting a distribution of inputs not as strongly weighed towards the upper reaches of the estuary as DDTs. The shallower subsurface maximum in PCBs compared to DDT in the San Pablo Bay core is consistent with the imposition of drastic source control measures four these constituents in 1970 and 1977 respectively. The observed decline in DDT and PCB levels towards the surface of both cores is consistent with a dramatic drop in the input of these pollutants once the effect of sediment resuspension and mixing is taken into account.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0304-4203(98)90086-X","issn":"03044203","usgsCitation":"Venkatesan, M., De Leon, R.P., VanGeen, A., and Luoma, S.N., 1999, Chlorinated hydrocarbon pesticides and polychlorinated biphenyls in sediment cores from San Francisco Bay: Marine Chemistry, v. 64, no. 1-2, p. 85-97, https://doi.org/10.1016/S0304-4203(98)90086-X.","productDescription":"13 p.","startPage":"85","endPage":"97","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":229526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206359,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0304-4203(98)90086-X"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0908203125,\n              37.29153547292737\n            ],\n            [\n              -121.78344726562499,\n              37.29153547292737\n            ],\n            [\n              -121.78344726562499,\n              38.30718056188316\n            ],\n            [\n              -123.0908203125,\n              38.30718056188316\n            ],\n            [\n              -123.0908203125,\n              37.29153547292737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f5c8e4b0c8380cd4c3fb","contributors":{"authors":[{"text":"Venkatesan, M.I.","contributorId":12998,"corporation":false,"usgs":true,"family":"Venkatesan","given":"M.I.","email":"","affiliations":[],"preferred":false,"id":391258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Leon, R. P.","contributorId":47537,"corporation":false,"usgs":true,"family":"De Leon","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":391259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanGeen, A.","contributorId":84086,"corporation":false,"usgs":true,"family":"VanGeen","given":"A.","email":"","affiliations":[],"preferred":false,"id":391260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":778892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70021759,"text":"70021759 - 1999 - Assessing groundwater vulnerability to agrichemical contamination in the Midwest US","interactions":[],"lastModifiedDate":"2018-12-19T10:13:09","indexId":"70021759","displayToPublicDate":"1999-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3724,"text":"Water Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing groundwater vulnerability to agrichemical contamination in the Midwest US","docAbstract":"<p><span>Agrichemicals (herbicides and nitrate) are significant sources of diffuse pollution to groundwater. Indirect methods are needed to assess the potential for groundwater contamination by diffuse sources because groundwater monitoring is too costly to adequately define the geographic extent of contamination at a regional or national scale. This paper presents examples of the application of statistical, overlay and index, and process-based modeling methods for groundwater vulnerability assessments to a variety of data from the Midwest U.S. The principles for vulnerability assessment include both intrinsic (pedologic, climatologic, and hydrogeologic factors) and specific (contaminant and other anthropogenic factors) vulnerability of a location. Statistical methods use the frequency of contaminant occurrence, contaminant concentration, or contamination probability as a response variable. Statistical assessments are useful for defining the relations among explanatory and response variables whether they define intrinsic or specific vulnerability. Multivariate statistical analyses are useful for ranking variables critical to estimating water quality responses of interest. Overlay and index methods involve intersecting maps of intrinsic and specific vulnerability properties and indexing the variables by applying appropriate weights. Deterministic models use process-based equations to simulate contaminant transport and are distinguished from the other methods in their potential to predict contaminant transport in both space and time. An example of a one-dimensional leaching model linked to a geographic information system (GIS) to define a regional metamodel for contamination in the Midwest is included.</span></p>","language":"English","publisher":"IWA","doi":"10.1016/S0273-1223(99)00042-6","issn":"02731223","usgsCitation":"Burkart, M.R., Kolpin, D., and James, D., 1999, Assessing groundwater vulnerability to agrichemical contamination in the Midwest US: Water Science and Technology, v. 39, no. 3, p. 103-112, https://doi.org/10.1016/S0273-1223(99)00042-6.","productDescription":"10 p.","startPage":"103","endPage":"112","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":229403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":206315,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0273-1223(99)00042-6"}],"country":"United States","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059edd6e4b0c8380cd49a39","contributors":{"authors":[{"text":"Burkart, M. R.","contributorId":42190,"corporation":false,"usgs":true,"family":"Burkart","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":391046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":391047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, D.E.","contributorId":22927,"corporation":false,"usgs":true,"family":"James","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":391045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211141,"text":"70211141 - 1999 - Geochronologic and isotope studies of calcite and silica constraining Quaternary unsaturated- and saturated zone hydrologic flux at Yucca Mountain, Nevada, USA","interactions":[],"lastModifiedDate":"2020-07-15T16:18:23.981101","indexId":"70211141","displayToPublicDate":"1998-12-31T11:10:07","publicationYear":"1999","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochronologic and isotope studies of calcite and silica constraining Quaternary unsaturated- and saturated zone hydrologic flux at Yucca Mountain, Nevada, USA","docAbstract":"<p><span>Both unsaturated- and saturated-zone aqueous solutions are capable of precipitating secondary mineral deposits that document the history and origins of past water flux. Calcite and opal occur as thin coatings on open fractures and cavity floors within the thick unsaturated zone at Yucca Mountain. Outermost surfaces of calcite have&nbsp;</span><sup>14</sup><span>C ages of between 44,000 and 16,000 radiocarbon years; however, the same surfaces have&nbsp;</span><sup>230</sup><span>Th/U ages from 28 ka to more than 500 ka. This discordance, along with negative covariance between conventionally calculated&nbsp;</span><sup>230</sup><span>Th/U ages and initial&nbsp;</span><sup>234</sup><span>U/</span><sup>238</sup><span>U is best explained by very slow rates of mineral growth where discrete depositional layers are too fine to separate and measure individually. Therefore, isotopic analyses and resulting ages represent mixtures between the deepest and shallowest layers incorporated within a given sub-sample.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Use of hydrogeochemical information in testing groundwater flow models: Technical summary and proceedings of a workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Use of hydrogeochemical information in testing groundwater flow models: Workshop","conferenceDate":"September 1-3, 1997","conferenceLocation":"Borgholm, Sweden","language":"English","publisher":"Nuclear Energy Agency","usgsCitation":"Paces, J.B., Peterman, Z.E., Neymark, L., Whelan, J.F., and Marshall, B.D., 1999, Geochronologic and isotope studies of calcite and silica constraining Quaternary unsaturated- and saturated zone hydrologic flux at Yucca Mountain, Nevada, USA, <i>in</i> Use of hydrogeochemical information in testing groundwater flow models: Technical summary and proceedings of a workshop, Borgholm, Sweden, September 1-3, 1997, p. 329-336.","productDescription":"8 p.","startPage":"329","endPage":"336","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whelan, Joseph F.","contributorId":29792,"corporation":false,"usgs":true,"family":"Whelan","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":792927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marshall, Brian D. 0000-0002-8093-0093 bdmarsha@usgs.gov","orcid":"https://orcid.org/0000-0002-8093-0093","contributorId":520,"corporation":false,"usgs":true,"family":"Marshall","given":"Brian","email":"bdmarsha@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792928,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":4680,"text":"twri03C2 - 1999 - Field methods for measurement of fluvial sediment","interactions":[{"subject":{"id":4684,"text":"twri03C2_1970 - 1970 - Field methods for measurement of fluvial sediment","indexId":"twri03C2_1970","publicationYear":"1970","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"predicate":"SUPERSEDED_BY","object":{"id":4680,"text":"twri03C2 - 1999 - Field methods for measurement of fluvial sediment","indexId":"twri03C2","publicationYear":"1999","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"id":1},{"subject":{"id":11965,"text":"ofr86351 - 1986 - A borehole geophone leveling device","indexId":"ofr86351","publicationYear":"1986","noYear":false,"title":"A borehole geophone leveling device"},"predicate":"SUPERSEDED_BY","object":{"id":4680,"text":"twri03C2 - 1999 - Field methods for measurement of fluvial sediment","indexId":"twri03C2","publicationYear":"1999","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"id":2},{"subject":{"id":18800,"text":"ofr86531 - 1988 - Field methods for measurement of fluvial sediment","indexId":"ofr86531","publicationYear":"1988","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"predicate":"SUPERSEDED_BY","object":{"id":4680,"text":"twri03C2 - 1999 - Field methods for measurement of fluvial sediment","indexId":"twri03C2","publicationYear":"1999","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"id":3},{"subject":{"id":38352,"text":"twri03C2_1998 - 1998 - Field methods for measurement of fluvial sediment","indexId":"twri03C2_1998","publicationYear":"1998","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"predicate":"SUPERSEDED_BY","object":{"id":4680,"text":"twri03C2 - 1999 - Field methods for measurement of fluvial sediment","indexId":"twri03C2","publicationYear":"1999","noYear":false,"title":"Field methods for measurement of fluvial sediment"},"id":4}],"lastModifiedDate":"2012-02-02T00:05:31","indexId":"twri03C2","displayToPublicDate":"1998-06-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"03-C2","title":"Field methods for measurement of fluvial sediment","docAbstract":"This chapter describes equipment and procedures for collection and measurement of fluvial sediment. The complexity of the hydrologic and physical environments and man's ever-increasing data needs make it essential for those responsible for the collection of sediment data to be aware of basic concepts involved in processes of erosion, transport, deposition of sediment, and equipment and procedures necessary to representatively collect sediment data.\r\nIn addition to an introduction, the chapter has two major sections. The 'Sediment-Sampling Equipment' section encompasses discussions of characteristics and limitations of various models of depth- and point-integrating samplers, single-stage samplers, bed-material samplers, bedload samplers, automatic pumping samplers, and support equipment. The 'Sediment-Sampling Techniques'` section includes discussions of representative sampling criteria, characteristics of sampling sites, equipment selection relative to the sampling conditions and needs, depth and point-integration techniques, surface and dip sampling, determination of transit rates, sampling programs and related data, cold-weather sampling, bed-material and bedload sampling, measuring total sediment discharge, and measuring reservoir sedimentation rates.","language":"ENGLISH","publisher":"U.S. Geological Survey ;Information Services,","doi":"10.3133/twri03C2","issn":"0565-596X","isbn":"0607897384","usgsCitation":"Edwards, T.K., and Glysson, G.D., 1999, Field methods for measurement of fluvial sediment (Revision - 1999): U.S. Geological Survey Techniques of Water-Resources Investigations 03-C2, viii, 89 p. :ill. ;28 cm., https://doi.org/10.3133/twri03C2.","productDescription":"viii, 89 p. :ill. ;28 cm.","costCenters":[],"links":[{"id":139152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":241,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/twri/twri3-c2/","linkFileType":{"id":5,"text":"html"}}],"edition":"Revision - 1999","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fce4b07f02db5f55f5","contributors":{"authors":[{"text":"Edwards, Thomas K. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":104477,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas","email":"tce@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":149612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glysson, G. Douglas","contributorId":13607,"corporation":false,"usgs":true,"family":"Glysson","given":"G.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":149611,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198487,"text":"70198487 - 1999 - Oxygen isotopes of dissolved sulfate as a tool to distinguish natural and mining-related dissolved constituents","interactions":[],"lastModifiedDate":"2024-08-12T13:26:24.883674","indexId":"70198487","displayToPublicDate":"1998-01-01T07:31:04","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5273,"text":"Open File Report","active":true,"publicationSubtype":{"id":4}},"title":"Oxygen isotopes of dissolved sulfate as a tool to distinguish natural and mining-related dissolved constituents","docAbstract":"<p>Natural and mining-related dissolved-constituent concentrations need to be distinguished in a watershed affected by abandoned mines to prioritize subbasins for remediation and to assist with the establishment of water-quality standards. The oxygen isotopes of dissolved sulfate can be used to distinguish between natural and mining-related sources of dissolved constituents. Several methods employing the oxygen isotopes of dissolved sulfate can be used to determine the relative amounts of natural and mining related dissolved constituents in water: (1) the isotope-dilution equation for simple mixing zones (two sources and one receiving stream); (2) the isotope mass-balance equation for streams receiving dissolved sulfate from multiple geologic sources; and (3) graphical relations and the mathematical solution of simultaneous equations in a watershed approach. Using the different methods for data collected during low flow, about 71 to 75 percent of the dissolved-constituent concentrations are from natural sources in selected subbasins of the upper Animas watershed.</p>","language":"English","publisher":"United States Geological Survey","usgsCitation":"Wright, W.G., and Nordstrom, D.K., 1999, Oxygen isotopes of dissolved sulfate as a tool to distinguish natural and mining-related dissolved constituents: Open File Report, 7 p.","productDescription":"7 p.","startPage":"671","endPage":"678","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356243,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98dce8e4b0702d0e84824d","contributors":{"authors":[{"text":"Wright, Winfield G.","contributorId":27044,"corporation":false,"usgs":true,"family":"Wright","given":"Winfield","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":741654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":741655,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174706,"text":"70174706 - 1999 - Water-quality variability in San Francisco Bay: general patterns of change during 1997","interactions":[],"lastModifiedDate":"2018-09-10T08:52:23","indexId":"70174706","displayToPublicDate":"1997-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Water-quality variability in San Francisco Bay: general patterns of change during 1997","docAbstract":"<p>The 1997 Annual Report is the fifth Annual Report from the Regional Monitoring Program for Trace Substances (RMP) and contains a comprehensive description of RMP results from the 1997 monitoring year. As in previous years, the report includes results from the Base Program (water, sediment, and bivalve monitoring) and results from Pilot and Special Studies completed in 1997, in addition to an update on the RMP Five-Year Review implementation. It also includes papers contributed by RMP investigators and other scientists. These articles address related monitoring activities, and help to provide additional insight into contaminant patterns and the impacts of those contaminants on the San Francisco Estuary. The 1997 monitoring year proved to be an unusual one, with record-setting precipitation in December and January followed by unusually dry weather in February and March. These weather patterns had a visible effect on RMP results, frequently creating sharp contrasts in results between the first two sampling cruises of the year, and higher than normal contaminant concentrations at many RMP sampling sites in February. These results, and results from the other aspects of the RMP, are summarized below.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"1997 annual report, San Francisco estuary regional monitoring program for trace substances","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"San Francisco Estuary Institute","usgsCitation":"Cloern, J., Cole, B., Edmunds, J., and Baylosis, J., 1999, Water-quality variability in San Francisco Bay: general patterns of change during 1997, 15 p.","productDescription":"15 p.","startPage":"67","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's 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E.","contributorId":59453,"corporation":false,"usgs":true,"family":"Cloern","given":"J. E.","affiliations":[],"preferred":false,"id":642512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, B.E.","contributorId":66268,"corporation":false,"usgs":true,"family":"Cole","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":642513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, J.L.","contributorId":172912,"corporation":false,"usgs":false,"family":"Edmunds","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":642514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baylosis, J.I.","contributorId":95506,"corporation":false,"usgs":true,"family":"Baylosis","given":"J.I.","affiliations":[],"preferred":false,"id":642515,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":58230,"text":"ofr99457 - 1999 - ERF1 -- Enhanced River Reach File 1.2","interactions":[],"lastModifiedDate":"2013-06-04T13:50:54","indexId":"ofr99457","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"99-457","title":"ERF1 -- Enhanced River Reach File 1.2","docAbstract":"U.S. Environmental Protection Agency's River Reach File 1 (RF1) to ensure the hydrologic integrity of the digital reach traces and to quantify the mean water time of travel in river reaches and reservoirs [see USEPA (1996) for a description of the original RF1].","language":"English","doi":"10.3133/ofr99457","usgsCitation":"Alexander, R.B., Brakebill, J.W., Brew, R.E., and Smith, R.A., 1999, ERF1 -- Enhanced River Reach File 1.2 (Version 1.2, August 1, 1999): U.S. Geological Survey Open-File Report 99-457, Dataset, https://doi.org/10.3133/ofr99457.","productDescription":"Dataset","costCenters":[],"links":[{"id":184039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5813,"rank":800,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erf1.xml"}],"edition":"Version 1.2, August 1, 1999","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c326","contributors":{"authors":[{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":258506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brew, Robert E.","contributorId":23626,"corporation":false,"usgs":true,"family":"Brew","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":258509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":258507,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":25456,"text":"wri984245 - 1999 - Distribution of major herbicides in ground water of the United States","interactions":[],"lastModifiedDate":"2016-02-29T11:34:13","indexId":"wri984245","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"98-4245","title":"Distribution of major herbicides in ground water of the United States","docAbstract":"<p>Information on the concentrations and spatial distributions of pesticides and their transformation products, or degradates, in the hydrologic system is essential for managing pesticide use in both agricultural and nonagricultural settings to protect water resources. This report examines the occurrence of selected herbicides and their degradates in ground water, primarily on the basis of results from two large-scale, multistate investigations by the U.S. Geological Survey&mdash;the National Water-Quality Assessment (NAWQA) Program and the Midwest Pesticide Study (MWPS). The NAWQA pesticide data were derived from 2,227 sites (wells and springs) sampled in 20 major hydrologic basins across the United States from 1993 to 1995; the MWPS data were obtained from the sampling of 303 wells in a 12-state area of the northern midcontinent from 1991 to 1994. Data are presented for seven high-use herbicides: five of current interest to the U.S. Environmental Protection Agency for designing Pesticide Management Plans (atrazine, cyanazine, simazine, alachlor and metolachlor), a largely nonagricultural herbicide (prometon), and an agricultural herbicide first registered in 1994 for use in the United States (acetochlor).</p>\n<p>Six of the herbicides (all except acetochlor) were detected by the U.S. Geological Survey studies in shallow ground water&mdash;that is, ground water recharged within the past 10 years&mdash;in a variety of agricultural and nonagricultural settings, as well as in several aquifers that are sources of drinking-water supply. Acetochlor was not detected by the MWPS in the summer of 1994, but was detected in shallow ground water during the NAWQA Program by early 1995, and during another U.S. Geological Survey study in Iowa during the summers of 1995 and 1996. The acetochlor observations suggest that, in agreement with results from previous field studies, some pesticides may be detected in shallow ground water within 1 year following their application.</p>\n<p>In accord with the results from other largescale multistate studies of pesticides in ground water, more than 98 percent of the detections during the NAWQA and MWPS investigations were at concentrations of less than 1 microgram per liter. Consequently, water quality criteria for drinking water&mdash;that is, standards established to protect human health&mdash;were exceeded at fewer than 0.1 percent of the sites sampled by NAWQA (all of these exceedances involving atrazine alone) and at none of those sampled in 1992 by the MWPS. These criteria, however, may not accurately reflect the overall health risks associated with pesticide detections in water resources because they have been established only for a relatively small number of pesticides and they do not account for the additive or synergistic effects of mixtures, impacts on the health of aquatic ecosystems, or the effects of pesticide degradates. Among the sites sampled during the NAWQA and MWPS investigations, 19.7 and 13.8 percent, respectively, had detections of two or more of the herbicides of interest. Furthermore, for most of the herbicides for which degradates were examined, detection frequencies for major degradates were typically higher than for their&nbsp;respective parent compounds, particularly for the herbicides that are less persistent in aerobic soil.</p>\n<p>Frequencies of detection at or above 0.01 microgram per liter in shallow ground water beneath agricultural areas during the NAWQA study were significantly correlated with agricultural use in those areas for atrazine, cyanazine, alachlor, and metolachlor (P&lt;0.05; Spearman rank correlations), but not for simazine (P&gt;0.05). In urban areas, overall frequencies of detection of these five herbicides in shallow ground water were positively correlated with their total nonagricultural use nationwide (P=0.026; simple linear correlation). Multivariate statistical analysis indicated that frequencies of detection in shallow ground water beneath agricultural areas were positively correlated with half-lives for transformation in aerobic soil and agricultural use of the compounds (P&le;0.0001 for both parameters). Although frequencies of detection were not significantly correlated with their subsurface mobility (K<sub>oc</sub>; P=0.19) or the median well depths of the sampled networks (P=0.72), the range of K<sub>oc</sub> values among the five herbicides and the range of well depths were limited.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri984245","collaboration":"Prepared in cooperation with U.S. Environmental Protection Agency, Office of Pesticide Programs","usgsCitation":"Barbash, J.E., Thelin, G.P., Kolpin, D.W., and Gilliom, R.J., 1999, Distribution of major herbicides in ground water of the United States: U.S. Geological Survey Water-Resources Investigations Report 98-4245, ix, 57 p. : ill. (some col.), col. maps ; 28 cm., https://doi.org/10.3133/wri984245.","productDescription":"ix, 57 p. : ill. 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,{"id":29627,"text":"wri994086 - 1999 - Stratigraphy and hydrologic conditions at the Brookhaven National Laboratory and vicinity, Suffolk County, New York, 1994-97","interactions":[],"lastModifiedDate":"2012-02-02T00:09:01","indexId":"wri994086","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"99-4086","title":"Stratigraphy and hydrologic conditions at the Brookhaven National Laboratory and vicinity, Suffolk County, New York, 1994-97","docAbstract":"Brookhaven National Laboratory (BNL) has installed many test borings as part of an effort to delineate the extent of ground-water contamination at the site. In 1994, the U.S. Geological Survey began a study in cooperation with BNL to define the stratigraphy in the 28-square-mile area encompassing BNL, and to monitor ground-water levels in the 300 squaremile area of central Suffolk County that surrounds BNL. The uppermost geologic units at BNL are of Pleistocene age. These sediments are underlain unconformably by the Matawan Group-Magothy Formation, undifferentiated (referred to as the Magothy Formation), of Cretaceous age, which typically consists of light- to dark-gray, variably sorted sand interbedded with light- to dark-gray clay layers; it also contains beds of grayish-brown to brownish-gray sand. Bed thicknesses differ substantially within each boring and tend to be laterally discontinuous as a result of their terrestrial deltaic depositional environment, although a prominent clay unit, referred to as the ?grayish-brown clay? in this report, was encountered at many borings. Pollen-sample analyses confirm that this unit is of Cretaceous age and is the uppermost unit of Cretaceous sediments in several parts of the study area. The upper surface of the Cretaceous deposits is irregular within the 28-square-mile study area and has relief of about 120 feet. Several prominent channels and ridges in the surface are aligned generally northwest-southeast. The Cretaceous surface beneath BNL is characterized more by local erosional features than by the regional cuesta shape that was suggested by previous authors. The overlying Pleistocene-aged units include (1) a sand layer overlain by the Gardiners Clay, (2) the Gardiners Clay, and (3) upper Pleistocene deposits, which include the Upton unit, glacial outwash, glaciolacustrine deposits, and terminal moraine deposits. The sand unit below the Gardiners Clay was the first Pleistocene unit to be deposited atop the irregular surface of the Cretaceous deposits in this area. The Gardiners Clay was deposited during a major rise in sea level as the sea encroached into parts of the present-day BNL study area. The shallow part of the upper Pleistocene deposits generally consists of light-brown sand and gravel but overlies green to grayish-green, variably sorted sand, silt, and clay at altitudes of 50 to 70 feet below sea level in some parts of the study area. This lower part of the upper Pleistocene deposits in the study area was referred to by previous investigators as the unidentified unit and has been designated as the Upton unit in this report. The discharge of ground water to the Peconic and Carmans Rivers locally affects the water-table configuration. The main ground-water divide on Long Island is about 0.5 miles north of the site; a secondary divide originates near the start of flow of the Peconic River and extends east-southeastward toward the South Fork. The water-table configuration on the BNL site is affected by pumping from supply wells and remediation wells, by infiltration of the water through recharge basins, by discharge from the sewage-treatment plant, and by local near-surface clay units. The horizontal hydraulic gradient at BNL typically is 0.001 foot per foot but can steepen near recharge basins and pumping wells. Vertical flow gradients within the upper Pleistocene deposits (upper glacial aquifer) were as large as 0.007 foot per foot (downward) in the northern part of BNL and were negligible in the southern part. Downward vertical gradients between the lower part of the upper glacial aquifer and the upper part of the Magothy Formation (Magothy aquifer) were about 0.018 foot per foot throughout the site.","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri994086","usgsCitation":"Scorca, M.P., Dorsch, W.R., and Paquette, D.E., 1999, Stratigraphy and hydrologic conditions at the Brookhaven National Laboratory and vicinity, Suffolk County, New York, 1994-97: U.S. Geological Survey Water-Resources Investigations Report 99-4086, v, 55 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri994086.","productDescription":"v, 55 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":95773,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4086/report.pdf","size":"8287","linkFileType":{"id":1,"text":"pdf"}},{"id":159858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4086/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8ecf","contributors":{"authors":[{"text":"Scorca, Michael P.","contributorId":38545,"corporation":false,"usgs":true,"family":"Scorca","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":201841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorsch, William R.","contributorId":45703,"corporation":false,"usgs":true,"family":"Dorsch","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":201842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paquette, Douglas E.","contributorId":107274,"corporation":false,"usgs":true,"family":"Paquette","given":"Douglas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":201843,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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