The U.S. Geological Survey (USGS) collected data and simulated groundwater flow to increase understanding of the hydrology and the effects of drainage alterations to the water table in the vicinity of Long Lake, near Gary, Indiana. East Long Lake and West Long Lake (collectively known as Long Lake) make up one of the largest interdunal lakes within the Indiana Dunes National Lakeshore. The National Park Service is tasked with preservation and restoration of wetlands in the Indiana Dunes National Lakeshore along the southern shoreline of Lake Michigan. Urban development and engineering have modified drainage and caused changes in the distribution of open water, streams and ditches, and groundwater abundance and flow paths. A better understanding of the effects these modifications have on the hydrologic system in the area will help the National Park Service, the Gary Sanitary District (GSD), and local stakeholders manage and protect the resources within the study area.
This study used hydrologic data and steady-state groundwater simulations to estimate directions of groundwater flow and the effects of various engineering controls and climatic conditions on the hydrology near Long Lake. Periods of relatively high and low groundwater levels were examined and simulated by using MODFLOW and companion software. Simulated hydrologic modifications examined the effects of (1) removing the beaver dams in US-12 ditch, (2) discontinuing seepage of water from the filtration pond east of East Long Lake, (3) discontinuing discharge from US-12 ditch to the GSD sewer system, (4) decreasing discharge from US-12 ditch to the GSD sewer system, (5) connecting East Long Lake and West Long Lake, (6) deepening County Line Road ditch, and (7) raising and lowering the water level of Lake Michigan.
Results from collected hydrologic data indicate that East Long Lake functioned as an area of groundwater recharge during October 2002 and a “flow-through” lake during March 2011, with the groundwater divide south of US-12. Wetlands to the south of West Long Lake act as points of recharge to the surficial aquifer in both dry- and wet-weather conditions.
Among the noteworthy results from a dry-weather groundwater flow model simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) the filtration pond at the east end of East Long Lake, when active, contributed approximately 10 percent of the total water entering East Long Lake, and (3) County Line Road ditch has little effect on simulated water level.
Among the noteworthy results from a wet-weather groundwater flow simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) when the seepage from the filtration pond to the surficial aquifer is not active, sources of inflow to East Long Lake are restricted to only precipitation (46 percent of total) and inflow from the surficial aquifer (54 percent of total), and (3) County Line Road ditch bisects the groundwater divide and creates two water-table mounds south of US-12.
The results from a series of model scenarios simulating certain engineering controls and changes in Lake Michigan levels include the following: (1) The simulated removal of beaver dams in US-12 ditch during a wet-weather simulation increased discharge from the ditch to the Gary Sanitary system by 13 percent. (2) Discontinuation of seepage from the filtration pond east of East Long Lake decreased discharge from US-12 ditch to the Gary Sanitary system by 2.3 percent. (3) Simulated discontinuation of discharge from the US-12 ditch to the GSD sewer system increased the area where the water table was estimated to be above the land surface beyond the inundated area in the initial wet-weather simulation. (4) Simulated modifications to the control structure at the discharge point of US-12 ditch to the GSD sewer system can decrease discharge by as much as 61 percent while increasing the simulated inundated area during dry weather and decrease discharge as much as 6 percent while increasing the simulated inundated area during wet weather. (5) Deepening of County Line Road ditch can decrease the discharge from US-12 ditch by 26 percent during dry weather and 24 percent during wet weather, as well as decrease the extent of flooded areas south and east of the filtration pond near Ogden Dunes. (7) The increase of the Lake Michigan water level to match the historical maximum can increase the discharge from US-12 ditch by 14 percent during dry weather and by 9.6 percent during wet weather. (8) The decrease of the Lake Michigan water level to match the historical minimum can decrease the discharge from US-12 ditch by 7.4 percent during dry weather and by 3.1 percent during wet weather.
The results of this study can be used by water-resource managers to understand how surrounding ditches affect water levels in East and West Long Lake and in the surrounding wetlands and residential areas. The groundwater model developed in this study can be applied in the future to answer questions about how alterations to the drainage system in the area will affect water levels in East and West Long Lake and surrounding areas. The modeling methods developed in this study provide a template for other studies of groundwater flow and groundwater/surface-water interactions within the shallow surficial aquifer in northern Indiana, and in similar hydrologic settings that include surficial sand aquifers in coastal settings.
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With the exception of the eastern segment of the border, which follows the course of the Rio Grande (known as the Rio Bravo in Mexico), the defining of this border was based on political decisions that had little concern for ecosystems, geologic features, or water—all of which span that imaginary line. However, the location of the border has had a remarkable effect on the biologic and physical systems in the border region and, in turn, has had a growing influence on what we now see as 21st century socioeconomic and environmental priorities. Because of the complex interactions of the human, ecological, political, and economic exigencies associated with this area, the status of the United States–Mexican border region, known as the Borderlands, has become an ever-present concern for most American citizens and for Mexican and United States Federal, State, and local governments.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13801","usgsCitation":"Updike, R.G., 2013, The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science: U.S. Geological Survey Circular 1380, 13 p., https://doi.org/10.3133/cir13801.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true}],"links":[{"id":269105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir13801.gif"},{"id":269104,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"},{"id":269103,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter1.pdf"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.646484375,\n 24.246964554300924\n ],\n [\n -96.6796875,\n 25.918526162075153\n ],\n [\n -97.0751953125,\n 27.254629577800063\n ],\n [\n -98.4375,\n 29.49698759653577\n ],\n [\n -99.931640625,\n 30.713503990354965\n ],\n [\n -103.22753906249999,\n 31.015278981711266\n ],\n [\n -104.853515625,\n 32.65787573695528\n ],\n [\n -106.34765625,\n 33.17434155100208\n ],\n [\n -108.5009765625,\n 33.17434155100208\n ],\n [\n -110.302734375,\n 32.95336814579932\n ],\n [\n -112.939453125,\n 33.54139466898275\n ],\n [\n -114.43359375,\n 33.8339199536547\n ],\n [\n -117.158203125,\n 33.54139466898275\n ],\n [\n -117.8173828125,\n 33.17434155100208\n ],\n [\n -117.20214843749999,\n 31.690781806136822\n ],\n [\n -114.9169921875,\n 31.50362930577303\n ],\n [\n -110.8740234375,\n 30.06909396443887\n ],\n [\n -108.2373046875,\n 30.14512718337613\n ],\n [\n -105.16113281249999,\n 28.22697003891834\n ],\n [\n -103.71093749999999,\n 27.488781168937997\n ],\n [\n -101.90917968749999,\n 27.68352808378776\n ],\n [\n -99.36035156249999,\n 25.363882272740256\n ],\n [\n -98.3056640625,\n 24.686952411999155\n ],\n [\n -97.646484375,\n 24.246964554300924\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeee3e4b0dcc733969357","contributors":{"authors":[{"text":"Updike, Randall G. updike@usgs.gov","contributorId":334,"corporation":false,"usgs":true,"family":"Updike","given":"Randall","email":"updike@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":475829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044534,"text":"cir13802 - 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To assist in an accurate appraisal and understanding of this remarkable region, the Borderlands team has divided it into eight subareas based on the watershed subareas of the U.S. Geological Survey Border Environmental Health Initiative (http://borderhealth.cr.usgs.gov) (fig. 2–1), the boundaries of which are defined primarily by surface-water drainage basins. The drainage basins directly adjacent to or crossing the international boundary were automatically included in the defined border region, as were those basins that contain unconsolidated aquifers that extend to or cross the international boundary. Also, “protected areas” adjacent to included basins were selectively added to the defined border region. Though some geographic features are entirely within the Borderlands, many features—deserts, mountain ranges, rivers, etc.— extend beyond the region boundaries but are still influential to Borderlands environments (fig. 2–2). In some cases, the authors of the following chapters have made fine adjustments to the Borderlands boundaries, and they have described those alterations where necessary. 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2013 - Fine-scale delineation of the location of and relative ground shaking within the San Andreas Fault zone at San Andreas Lake, San Mateo County, California","interactions":[],"lastModifiedDate":"2013-03-09T14:59:14","indexId":"ofr20131041","displayToPublicDate":"2013-03-09T00:00:00","publicationYear":"2013","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":"2013-1041","title":"Fine-scale delineation of the location of and relative ground shaking within the San Andreas Fault zone at San Andreas Lake, San Mateo County, California","docAbstract":"The San Francisco Public Utilities Commission is seismically retrofitting the water delivery system at San Andreas Lake, San Mateo County, California, where the reservoir intake system crosses the San Andreas Fault (SAF). The near-surface fault location and geometry are important considerations in the retrofit effort. Because the SAF trends through highly distorted Franciscan mélange and beneath much of the reservoir, the exact trace of the 1906 surface rupture is difficult to determine from surface mapping at San Andreas Lake. Based on surface mapping, it also is unclear if there are additional fault splays that extend northeast or southwest of the main surface rupture. To better understand the fault structure at San Andreas Lake, the U.S. Geological Survey acquired a series of seismic imaging profiles across the SAF at San Andreas Lake in 2008, 2009, and 2011, when the lake level was near historical lows and the surface traces of the SAF were exposed for the first time in decades. We used multiple seismic methods to locate the main 1906 rupture zone and fault splays within about 100 meters northeast of the main rupture zone. Our seismic observations are internally consistent, and our seismic indicators of faulting generally correlate with fault locations inferred from surface mapping. We also tested the accuracy of our seismic methods by comparing our seismically located faults with surface ruptures mapped by Schussler (1906) immediately after the April 18, 1906 San Francisco earthquake of approximate magnitude 7.9; our seismically determined fault locations were highly accurate. Near the reservoir intake facility at San Andreas Lake, our seismic data indicate the main 1906 surface rupture zone consists of at least three near-surface fault traces. Movement on multiple fault traces can have appreciable engineering significance because, unlike movement on a single strike-slip fault trace, differential movement on multiple fault traces may exert compressive and extensional stresses on built structures within the fault zone. Such differential movement and resulting distortion of built structures appear to have occurred between fault traces at the gatewell near the southern end of San Andreas Lake during the 1906 San Francisco earthquake (Schussler, 1906). In addition to the three fault traces within the main 1906 surface rupture zone, our data indicate at least one additional fault trace (or zone) about 80 meters northeast of the main 1906 surface rupture zone. Because ground shaking also can damage structures, we used fault-zone guided waves to investigate ground shaking within the fault zones relative to ground shaking outside the fault zones. Peak ground velocity (PGV) measurements from our guided-wave study indicate that ground shaking is greater at each of the surface fault traces, varying with the frequency of the seismic data and the wave type (P versus S). S-wave PGV increases by as much as 5–6 times at the fault traces relative to areas outside the fault zone, and P-wave PGV increases by as much as 3–10 times. Assuming shaking increases linearly with increasing earthquake magnitude, these data suggest strong shaking may pose a significant hazard to built structures that extend across the fault traces. Similarly complex fault structures likely underlie other strike-slip faults (such as the Hayward, Calaveras, and Silver Creek Faults) that intersect structures of the water delivery system, and these fault structures similarly should be investigated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131041","usgsCitation":"Catchings, R.D., Rymer, M.J., Goldman, M.R., Prentice, C., and Sickler, R., 2013, Fine-scale delineation of the location of and relative ground shaking within the San Andreas Fault zone at San Andreas Lake, San Mateo County, California: U.S. Geological Survey Open-File Report 2013-1041, v, 53 p., https://doi.org/10.3133/ofr20131041.","productDescription":"v, 53 p.","startPage":"i","endPage":"53","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131041.GIF"},{"id":268977,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1041/"},{"id":268978,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1041/of2013-1041.pdf"}],"country":"United States","state":"California","city":"San Mateo County","otherGeospatial":"San Andreas Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.441235,37.579922 ], [ -122.441235,37.613771 ], [ -122.410036,37.613771 ], [ -122.410036,37.579922 ], [ -122.441235,37.579922 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5964e4b0b290850f8abc","contributors":{"authors":[{"text":"Catchings, R. D.","contributorId":98738,"corporation":false,"usgs":true,"family":"Catchings","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rymer, M. J.","contributorId":90694,"corporation":false,"usgs":true,"family":"Rymer","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, M. R.","contributorId":106934,"corporation":false,"usgs":true,"family":"Goldman","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prentice, C.S.","contributorId":56667,"corporation":false,"usgs":true,"family":"Prentice","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":475731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sickler, R.R.","contributorId":62102,"corporation":false,"usgs":true,"family":"Sickler","given":"R.R.","affiliations":[],"preferred":false,"id":475732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044402,"text":"70044402 - 2013 - Phenotypic plasticity in the spawning traits of bigheaded carp (Hypophthalmichthys spp.) in novel ecosystems","interactions":[],"lastModifiedDate":"2013-04-20T20:05:17","indexId":"70044402","displayToPublicDate":"2013-03-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phenotypic plasticity in the spawning traits of bigheaded carp (Hypophthalmichthys spp.) in novel ecosystems","docAbstract":"1. Bigheaded carp, including both silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp, are successful invasive fishes that threaten global freshwater biodiversity. High phenotypic plasticity probably contributes to their success in novel ecosystems, although evidence of plasticity in several spawning traits has hitherto been largely anecdotal or speculative.\n\n2. We collected drifting eggs from a Midwestern U.S.A. river from June to September 2011 and from April to June 2012 to investigate the spawning traits of bigheaded carp in novel ecosystems.\n\n3. Unlike reports from the native range, the presence of drifting bigheaded carp eggs was not related to changes in hydrological regime or mean daily water temperature. Bigheaded carp also exhibited protracted spawning, since we found drifting eggs throughout the summer and as late as 1 September 2011. Finally, we detected bigheaded carp eggs in a river reach where the channel is c. 30 m wide with a catchment area of 4579 km2, the smallest stream in which spawning has yet been documented.\n\n4. Taken with previous observations of spawning traits that depart from those observed within the native ranges of both bighead and silver carp, our findings provide direct evidence that bigheaded carp exhibit plastic spawning traits in novel ecosystems that may facilitate invasion and establishment in a wider range of river conditions than previously envisaged.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/fwb.12106","usgsCitation":"Coulter, A.A., Keller, D., Amberg, J., Bailey, E.J., and Goforth, R.R., 2013, Phenotypic plasticity in the spawning traits of bigheaded carp (Hypophthalmichthys spp.) in novel ecosystems: Freshwater Biology, v. 58, no. 5, p. 1029-1037, https://doi.org/10.1111/fwb.12106.","productDescription":"9 p.","startPage":"1029","endPage":"1037","ipdsId":"IP-042992","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":268997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12106"}],"volume":"58","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"5173b8e7e4b0e619a5806eec","contributors":{"authors":[{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false},{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":475515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, Doug","contributorId":102351,"corporation":false,"usgs":true,"family":"Keller","given":"Doug","email":"","affiliations":[],"preferred":false,"id":475517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":475513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Elizabeth J.","contributorId":35205,"corporation":false,"usgs":true,"family":"Bailey","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goforth, Reuben R.","contributorId":96169,"corporation":false,"usgs":true,"family":"Goforth","given":"Reuben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042668,"text":"70042668 - 2013 - Effect of power plant emission reductions on a nearby wilderness area: a case study in northwestern Colorado","interactions":[],"lastModifiedDate":"2013-08-01T11:05:24","indexId":"70042668","displayToPublicDate":"2013-03-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Effect of power plant emission reductions on a nearby wilderness area: a case study in northwestern Colorado","docAbstract":"This study evaluates the effect of emission reductions at two coal-fired power plants in northwestern Colorado on a nearby wilderness area. Control equipment was installed at both plants during 1999–2004 to reduce SO2 and NOx emissions. One challenge was separating the effects of local from regional emissions, which also declined during the study period. The long-term datasets examined confirm that emission reductions had a beneficial effect on air and water quality in the wilderness. Despite a 75 % reduction in SO2 emissions, sulfate aerosols measured in the wilderness decreased by only 20 %. Because the site is relatively close to the power plants (<75 km), the slow rate of conversion of SO2 to sulfate, particularly under conditions of low relative humidity, might account for this less than one-to-one response. On the clearest days, emissions controls appeared to improve visibility by about 1 deciview, which is a small but perceptible improvement. On the haziest days, however, there was little improvement perhaps reflecting the dominance of regional haze and other components of visibility degradation particularly organic carbon and dust. Sulfate and acidity in atmospheric deposition decreased by 50 % near the southern end of the wilderness of which 60 % was attributed to power plant controls and the remainder to reductions in regional sources. Lake water sulfate responded rapidly to trends in deposition declining at 28 lakes monitored in and near the wilderness. Although no change in the acid–base status was observed, few of the lakes appear to be at risk from chronic or episodic acidification.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10661-013-3086-6","usgsCitation":"Mast, M.A., and Ely, D., 2013, Effect of power plant emission reductions on a nearby wilderness area: a case study in northwestern Colorado: Environmental Monitoring and Assessment, v. 185, no. 9, p. 7081-7095, https://doi.org/10.1007/s10661-013-3086-6.","productDescription":"15 p.","startPage":"7081","endPage":"7095","numberOfPages":"15","ipdsId":"IP-042812","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":268991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-013-3086-6"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","volume":"185","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-01-25","publicationStatus":"PW","scienceBaseUri":"51fbca71e4b04b00e3d88fb5","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Daniel","contributorId":35204,"corporation":false,"usgs":true,"family":"Ely","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":472025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043931,"text":"70043931 - 2013 - Wetland management reduces sediment and nutrient loading to the upper Mississippi River","interactions":[],"lastModifiedDate":"2015-09-02T13:52:43","indexId":"70043931","displayToPublicDate":"2013-03-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Wetland management reduces sediment and nutrient loading to the upper Mississippi River","docAbstract":"Restored riparian wetlands in the Upper Mississippi River basin have potential to remove sediment and nutrients from tributaries before they flow into the Mississippi River. For 3 yr we calculated retention efficiencies of a marsh complex, which consisted of a restored marsh and an adjacent natural marsh that were connected to Halfway Creek, a small tributary of the Mississippi. We measured sediment, N, and P removal through a mass balance budget approach, N removal through denitrification, and N and P removal through mechanical soil excavation. The marsh complex had average retention rates of approximately 30 Mg sediment ha−1 yr−1, 26 kg total N ha−1 yr−1, and 20 kg total P ha−1 yr−1. Water flowed into the restored marsh only during high-discharge events. Although the majority of retention occurred in the natural marsh, portions of the natural marsh were hydrologically disconnected at low discharge due to historical over-bank sedimentation. The natural marsh removed >60% of sediment, >10% of P, and >5% of N loads (except the first year, when it was a N source). The marsh complex was a source of NH4+ and soluble reactive P. The average denitrification rate for the marsh complex was 2.88 mg N m−2 h−1. Soil excavation removed 3600 Mg of sediment, 5.6 Mg of N, and 2.7 Mg of P from the restored marsh. The marsh complex was effective in removing sediment and nutrients from storm flows; however, retention could be increased if more water was diverted into both restored and natural marshes before entering the river.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/jeq2012.0248","usgsCitation":"Kreiling, R.M., Schubauer-Berigan, J.P., Richardson, W.B., Bartsch, L., Hughes, P.E., and Strauss, E.A., 2013, Wetland management reduces sediment and nutrient loading to the upper Mississippi River: Journal of Environmental Quality, v. 42, no. 2, p. 573-583, https://doi.org/10.2134/jeq2012.0248.","productDescription":"11 p.","startPage":"573","endPage":"583","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041341","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":268993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2012.0248"}],"country":"United States","otherGeospatial":"Mississippi","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d89e4b0b2908510f703","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":4234,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":474507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schubauer-Berigan, Joseph P.","contributorId":106220,"corporation":false,"usgs":true,"family":"Schubauer-Berigan","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":474504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":474505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Peter E. pehughes@usgs.gov","contributorId":876,"corporation":false,"usgs":true,"family":"Hughes","given":"Peter","email":"pehughes@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":474503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Strauss, Eric A.","contributorId":54395,"corporation":false,"usgs":true,"family":"Strauss","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474506,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70044485,"text":"sir20135008 - 2013 - Nutrient concentrations and loads and Escherichia coli densities in tributaries of the Niantic River estuary, southeastern Connecticut, 2005 and 2008–2011","interactions":[],"lastModifiedDate":"2015-03-03T08:12:52","indexId":"sir20135008","displayToPublicDate":"2013-03-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5008","title":"Nutrient concentrations and loads and Escherichia coli densities in tributaries of the Niantic River estuary, southeastern Connecticut, 2005 and 2008–2011","docAbstract":"Nutrient concentrations and loads and Escherichia coli (E. coli) densities were studied in 2005 and from 2008 through 2011 in water-quality samples from tributaries of the Niantic River Estuary in southeastern Connecticut. Data from a water-quality survey of the base flow of subbasins in the watershed in June 2005 were used to determine the range of total nitrogen concentrations (0.09 to 2.4 milligrams per liter), instantaneous loads (less than 1 to 62 pounds per day) and the yields of total nitrogen ranging from 0.02 to 11.2 pounds per square mile per day (less than 1 to 7.2 kilograms per hectare per year) from basin segments. Nitrogen yields were positively correlated with the amount of developed land in each subbasin. Stable isotope measurements of nitrate (δ15N) and oxygen (δ18O) ranged from 3.9 to 9.4 per mil and 0.7 to 4.1 per mil, respectively, indicating that likely sources of nitrate in base flow are soil nitrate and ammonium fertilizers, sewage or animal waste, or a mixture of these sources. Continuous streamflow and monthly water-quality sampling, with additional storm event sampling, were conducted at the three major tributaries (Latimer Brook, Oil Mill Brook, and Stony Brook) of the Niantic River from October 2008 through September 2011. Samples were analyzed for nitrogen and phosphorus constituents and E. coli densities. Total freshwater discharge from these tributaries, which is reduced by upstream withdrawals, ranged from 25.9 to 37.8 million gallons per day. Total nitrogen and phosphorus concentrations generally were low, with the mean values below the U.S. Environmental Protection Agency recommended nutrient concentration values of 0.71 milligram per liter and 0.031 milligram per liter, respectively. Total nitrogen was predominantly in the form of total ammonia plus organic nitrogen at the Oil Mill Brook and Stony Brook sites and in the form of nitrate at Latimer Brook. Annual total nitrogen loads that flowed into the Niantic River estuary from the three major tributaries, calculated with the Load Estimator computer program, ranged from 41,400 to 60,700 pounds, with about 52 to 59 percent of the load as total ammonia plus organic nitrogen. Total phosphorus loads ranged from 1,770 to 3,540 pounds per year. Yields of total nitrogen were highest from Latimer Brook, with the range from the three tributaries between 1,100 and 2,720 pounds per square mile per year. Total phosphorus yields ranged from 52 to 185 pounds per square mile per year. The geometric means of E. coli densities in samples from the three Niantic River tributaries were less than the State of Connecticut water-quality standard of 126 colony-forming units per 100 milliliters; however, individual samples from all three tributaries had densities as high as 2,400 to 2,900 colony-forming units per 100 milliliters. High densities of E. coli were more likely to be present in samples collected during wet weather events.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135008","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Mullaney, J.R., 2013, Nutrient concentrations and loads and Escherichia coli densities in tributaries of the Niantic River estuary, southeastern Connecticut, 2005 and 2008–2011: U.S. Geological Survey Scientific Investigations Report 2013-5008, viii, 30 p., https://doi.org/10.3133/sir20135008.","productDescription":"viii, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":268914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135008.gif"},{"id":268912,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5008/"},{"id":268913,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5008/pdf/sir2013-5008_report_508.pdf"}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum 1983","country":"United States","state":"Connecticut","otherGeospatial":"Niantic River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.17536926269531,\n 41.301797342006964\n ],\n [\n -72.15579986572266,\n 41.30566601169448\n ],\n [\n -72.14653015136719,\n 41.3616070872122\n ],\n [\n -72.17021942138672,\n 41.43835109629924\n ],\n [\n -72.19322204589844,\n 41.47257336487683\n ],\n [\n -72.20970153808594,\n 41.49752107584397\n ],\n [\n -72.25055694580078,\n 41.50214949134388\n ],\n [\n -72.27699279785156,\n 41.48260504245599\n ],\n [\n -72.27287292480469,\n 41.423421445798894\n ],\n [\n -72.24163055419922,\n 41.40385325858542\n ],\n [\n -72.2347640991211,\n 41.38608229923676\n ],\n [\n -72.22618103027344,\n 41.38041517477678\n ],\n [\n -72.22034454345703,\n 41.35825713137815\n ],\n [\n -72.2079849243164,\n 41.35387615972306\n ],\n [\n -72.19493865966797,\n 41.31082388091818\n ],\n [\n -72.18807220458984,\n 41.30050773444147\n ],\n [\n -72.17536926269531,\n 41.301797342006964\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513b086ce4b02bba6b717ed0","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475709,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044477,"text":"ds751 - 2013 - Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12","interactions":[],"lastModifiedDate":"2013-03-08T07:01:11","indexId":"ds751","displayToPublicDate":"2013-03-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"751","title":"Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12","docAbstract":"As part of a multidisciplinary U.S. Geological Survey study of water resources in Upper Kittitas County, Washington, chemical and isotopic data were collected from groundwater, surface-water, and atmospheric precipitation sites from 2010 to 2012. These data are documented here so that interested parties can quickly and easily find those chemical and isotopic data related to this study. The locations of the samples are shown on an interactive map of the study area. This report is dynamic; additional data will be added to it as they become available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds751","collaboration":"Prepared in cooperation with the Washington State Department of Ecology and Kittitas County","usgsCitation":"Hinkle, S.R., and Ely, D.M., 2013, Chemical and isotopic data collected from groundwater, surface-water, and atmospheric precipitation sites in Upper Kittitas County, Washington, 2010-12: U.S. Geological Survey Data Series 751, HTML Document: Abstract, Conversion Factors, Selected Abbreviations, Isotope Terminology, and Well Numbering System, Figure 1, Glossary, Appendix A, Appendix A CSV, Interactive Map, https://doi.org/10.3133/ds751.","productDescription":"HTML Document: Abstract, Conversion Factors, Selected Abbreviations, Isotope Terminology, and Well Numbering System, Figure 1, Glossary, Appendix A, Appendix A CSV, Interactive Map","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043011","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":268910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds751.gif"},{"id":268909,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/751/"}],"country":"United States","state":"Washington","county":"Kittitas County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.46,46.73 ], [ -121.46,47.59 ], [ -119.92,47.59 ], [ -119.92,46.73 ], [ -121.46,46.73 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513b085fe4b02bba6b717ecc","contributors":{"authors":[{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":475696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046168,"text":"70046168 - 2013 - Fish: Section 4.8 in Climate change and the Olympic Coast National Marine Sanctuary: Interpreting potential futures. ","interactions":[],"lastModifiedDate":"2018-03-23T14:28:54","indexId":"70046168","displayToPublicDate":"2013-03-07T07:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"ONMS-13-01","title":"Fish: Section 4.8 in Climate change and the Olympic Coast National Marine Sanctuary: Interpreting potential futures. ","docAbstract":"The Agency for Toxic Substances and Disease Registry (ATSDR) is conducting epidemiological studies to evaluate the potential for health effects from exposures to volatile organic compounds (VOCs) in finished water supplied to family housing units at U.S. Marine Corps Base Camp Lejeune, North Carolina (USMCB Camp Lejeune). The core period of interest for the epidemiological studies is 1968– 1985. VOCs of major interest to the epidemiological studies include tetrachloroethylene (PCE), trichloroethylene (TCE), trans-1,2-dichloroethylene (1,2-tDCE), vinyl chloride (VC), and benzene.
\nEight water-distribution systems have supplied or currently (2013) are supplying finished water to family housing and other facilities at USMCB Camp Lejeune. The three distribution systems of interest to this study—Tarawa Terrace, Hadnot Point, and Holcomb Boulevard—have historically supplied finished water to the majority of family housing units at the Base. Historical exposure data needed for the epidemiological studies are limited or unavailable. To obtain estimates of historical exposure, water-modeling methods are used to quantify concentrations of particular contaminants in finished water and to compute the level and duration of human expo- sure to contaminated finished water.
\nDuring 2007–2009, ATSDR published historical reconstruction results for contaminants delivered in finished water to Tarawa Terrace family housing areas and vicinity. Corresponding results for Hadnot Point and Holcomb Boulevard family housing areas and vicinity are presented here as a series of reports supporting ATSDR’s health studies at USMCB Camp Lejeune. These reports and associated supplements provide comprehensive descriptions of information, data analyses and interpretations, and modeling results used to reconstruct historical contaminant concentration levels in finished water delivered within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants (WTPs) and vicinities. This report, Chapter A: Summary and Findings, summarizes analyses and results of reconstructed VOC concentrations in groundwater, in water-supply wells, and in finished water delivered by the Hadnot Point WTP (HPWTP) and Holcomb Boulevard WTP (HBWTP) to family housing areas and vicinities.
\nMethods and approaches to complete the historical reconstruction process for the Hadnot Point–Holcomb Boulevard study area included (1) information discovery and data mining, (2) three-dimensional, steady-state (predevelopment) and transient groundwater-flow modeling using MODFLOW-2005 and objective parameter estimation using PEST-12, (3) deter- mining historical water-supply well scheduling and operations using TechWellOp, (4) three-dimensional contaminant fate and transport modeling for VOCs dissolved in groundwater using MT3DMS-5.3, (5) estimating the volume of light nonaqueous phase liquid (LNAPL) released to the subsurface at the Hadnot Point Industrial Area using TechNAPLVol, (6) analysis of LNAPL and dissolved phase fate and transport using TechFlowMP, (7) reconstruction of water-supply well concentrations at the Hadnot Point landfill using the linear control theory model (LCM) TechControl, (8) computation of flow-weighted average concentrations of VOCs assigned to finished water delivered by the HPWTP using a materials mass balance (simple mixing) model, (9) extended period simulation of hydraulics and water quality of the Holcomb Boulevard water-distribution system using EPANET 2, (10) sensitivity analysis of hydraulic, fate and transport, and numerical-model parameter values, (11) uncertainty analysis by coupling Kalman filtering with Monte Carlo simulation within the LCM methodology, and (12) probabilistic analysis of intermittent connections (1972–1985) of the Hadnot Point and Holcomb Boulevard water-distribution systems using the TechMarkov-Chain model. The end result of the historical reconstruction process was the estimation of monthly mean concentrations of selected VOCs in finished water distributed to housing areas served by the HPWTP and HBWTP.
\nHistorical reconstruction results summarized herein provide considerable evidence that concentrations of several contaminants of interest in finished water delivered by the HPWTP substantially exceeded current maximum contaminant levels (MCLs) during all or much of the epidemiological study period of 1968–1985. Reconstructed concentrations of TCE exceeded the current MCL of 5 micrograms per liter (μg/L) prior to and during the entire epidemiological study period and reached a maximum reconstructed concentration of 783 μg/L during November 1983. The most likely date that TCE first exceeded its current MCL is during August 1953; however, this exceedance could have been as early as November 1948. Corresponding finished-water concentrations of PCE exceeded the current MCL of 5 μg/L during most of the period 1975–1985 and also reached a maximum concentration of 39 μg/L during November 1983. Similar results for 1,2-tDCE and VC were also noted during the period 1975–1985. The maximum reconstructed concentrations of 1,2-tDCE and VC were 435 and 67 μg/L, respectively, and also occurred during November 1983. The respective current MCLs for these contaminants are 100 and 2.0 μg/L.
\nSubstantial volumes of liquid hydrocarbon fuels were lost due to leakage to the subsurface within the Hadnot Point Industrial Area. This area contained as many as 10 active water-supply wells. Despite the large volumes lost, finished- water concentrations of benzene only slightly exceeded the current MCL of 5 μg/L during the period 1980–1985. The maximum reconstructed concentration of 12 μg/L of benzene occurred during April 1984.
\nWithin the HBWTP service area, only TCE routinely exceeded its current MCL during intermittent periods (1972–1985). The TCE resulted from transfers of finished water from the Hadnot Point water-distribution system to the Holcomb Boulevard water-distribution system. The maximum reconstructed TCE concentration of 51 μg/L occurred during June 1978 at the Berkeley Manor housing area. During the 8-day period of January 28 through February 4, 1985, the HBWTP was out of service, and the HPWTP continuously supplied finished water to the Holcomb Boulevard housing area. During this period, the maximum reconstructed TCE concentration at the HPWTP was 324 μg/L, which resulted in a maximum reconstructed monthly mean concentration of 66 μg/L within the Paradise Point housing area.
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The purpose of the study described in this supplement of Chapter A (Supplement 4) is to construct, simulate, and calibrate a groundwater-flow model that represents the hydro-geologic framework and related groundwater-flow conditions described by Faye (2012) and Faye et al. (2013) within the vicinity of the Hadnot Point–Holcomb Boulevard (HPHB) study area, U.S. Marine Corp Base (USMCB) Camp Lejeune (Figure S4.1). Multiple variants of the groundwater-flow model were constructed and are described herein. The models simulate groundwater-flow conditions in the Brewster Boulevard, Tarawa Terrace, and Upper and Middle Castle Hayne aquifer systems from January 1942 to June 2008. Much of the discussion and analyses described herein parallel and partially duplicate methods and approaches described in similar reports of groundwater-flow investigations at Tarawa Terrace (TT) and vicinity by Faye and Valenzuela (2007). Model results were eventually used within several contaminant fate and transport models described by Jones et al. (2013) and Jang et al. (2013) for the historical reconstruction of finished-water3 concentrations within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants (HPWTP and HBWTP, respectively). This supplement focuses on the description of groundwater-flow model geometry, boundaries, hydraulic properties, calibration, and sensitivity analyses.