The delta of the Colorado River in Mexico supports a rich mix of estuarine, wetland and riparian ecosystems that provide habitat for over 350 species of birds as well as fish, marine mammals, and other wildlife. An important part of the delta ecosystem is the riparian corridor, which is supported by agricultural return flows and waste spills of water originating in the U.S. and Mexico. These flows may be curtailed in the future due to climate change and changing land use practices (out-of-basin water transfers, increased agricultural efficiency, and more optimal management of dams) in the U.S. and Mexico, and resource managers need to monitor the effects of their water management practices on these ecosystems. We developed ground-validated, remote sensing methods to monitor the vegetation status, habitat value, and water use of wetland and riparian ecosystems using multi-temporal, multi-resolution images. The integrated methodology allowed us to project species composition, leaf area index, fractional cover, habitat value, and evapotranspiration over seasons and years throughout the delta, in response to variable water flows from the U.S. to Mexico. Waste spills of water from the U.S. have regenerated native cottonwood and willow trees in the riparian corridor and created backwater and marsh areas that support birds and other wildlife. However, the main source of water supporting the riparian vegetation is the regional aquifer recharged by underflow from U.S. and Mexico irrigation districts. Native trees have a short half-life in the riparian zone due to human-set fires and harvesting for timber. Active management, monitoring, and restoration programs are needed to maintain the habitat value of this ecosystem for the future.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2008.06.018","usgsCitation":"Nagler, P.L., Glenn, E., and Hinojosa-Huera, O., Synthesis of ground and remote sensing data for monitoring ecosystem functions in the Colorado River Delta, Mexico: Remote Sensing of Environment, v. 113, no. 7, p. 1473-1485, https://doi.org/10.1016/j.rse.2008.06.018.","productDescription":"13 p.","startPage":"1473","endPage":"1485","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.7360144715991,\n 32.519626708379434\n ],\n [\n -115.38432903382771,\n 32.488742820889456\n ],\n [\n -115.13525903251964,\n 31.663178387787312\n ],\n [\n -114.51990961752253,\n 31.644472894515545\n ],\n [\n -114.7360144715991,\n 32.519626708379434\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","issue":"7","noUsgsAuthors":false,"publicationDate":"2009-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":952562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinojosa-Huera, Osvel","contributorId":339751,"corporation":false,"usgs":false,"family":"Hinojosa-Huera","given":"Osvel","email":"","affiliations":[{"id":24640,"text":"Pronatura Noroeste","active":true,"usgs":false}],"preferred":false,"id":952563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236406,"text":"70236406 - null - Modeling of wave driven circulation and water quality in nearshore environments","interactions":[],"lastModifiedDate":"2022-09-06T15:07:20.521719","indexId":"70236406","displayToPublicDate":"2008-12-31T10:02:21","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling of wave driven circulation and water quality in nearshore environments","docAbstract":"In order to investigate the effects of nearshore discharges of water quality degrading substances and bacteria in coastal environments, models capable of predicting nearshore circulation due to local wave and tide conditions are required. One of the larger challenges to nearshore coastal modeling is accurately reproducing nearshore circulation due to wave action. Local wave action not only drives circulation through processes such as longshore transport and rip currents, but also contributes significantly to the mixing of water quality constituents. In the present work, a wave model was used to calculate radiation shear stresses and dissipation due to wave action. The shear stresses and dissipation were incorporated into a hydrodynamic model to force circulation in the nearshore environment. The model was applied to a site in Santa Cruz, CA where site specific current data was available. The model reproduces the nearshore current structure observed in the region and was used to study the transport of dredge disposal plumes in the region which could have deleterious effects on local beaches. This presentation will outline the nearshore circulation model development and application.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2008 world environmental and water resources congress","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2008","conferenceDate":"May 12-16, 2008","conferenceLocation":"Honolulu, HI","language":"English","publisher":"ASCE","doi":"10.1061/9780784409763","usgsCitation":"Jones, C., and Angster, S.J., Modeling of wave driven circulation and water quality in nearshore environments, in Proceedings of the 2008 world environmental and water resources congress, Honolulu, HI, May 12-16, 2008, 10 p., https://doi.org/10.1061/9780784409763.","productDescription":"10 p.","costCenters":[],"links":[{"id":406231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Craig","contributorId":208632,"corporation":false,"usgs":false,"family":"Jones","given":"Craig","affiliations":[{"id":37853,"text":"Integral Constulting Inc., Santa Cruz, California, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":850908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angster, Stephen J. 0000-0001-9250-8415 sangster@usgs.gov","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":3885,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"sangster@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":850909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273251,"text":"70273251 - null - Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape","interactions":[],"lastModifiedDate":"2025-12-23T15:33:23.073849","indexId":"70273251","displayToPublicDate":"2008-03-28T09:13:57","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape","docAbstract":"Vegetation indices (VIs) are among the oldest tools in remote sensing studies. Although many variations exist, most of them ratio the reflection of light in the red and NIR sections of the spectrum to separate the landscape into water, soil, and vegetation. Theoretical analyses and field studies have shown that VIs are near-linearly related to photosynthetically active radiation absorbed by a plant canopy, and therefore to light-dependent physiological processes, such as photosynthesis, occurring in the upper canopy. Practical studies have used time-series VIs to measure primary production and evapotranspiration, but these are limited in accuracy to that of the data used in ground truthing or calibrating the models used. VIs are also used to estimate a wide variety of other canopy attributes that are used in Soil-Vegetation-Atmosphere Transfer (SVAT), Surface Energy Balance (SEB), and Global Climate Models (GCM). These attributes include fractional vegetation cover, leaf area index, roughness lengths for turbulent transfer, emissivity and albedo. However, VIs often exhibit only moderate, non-linear relationships to these canopy attributes, compromising the accuracy of the models. We use case studies to illustrate the use and misuse of VIs, and argue for using VIs most simply as a measurement of canopy light absorption rather than as a surrogate for detailed features of canopy architecture. Used this way, VIs are compatible with “Big Leaf” SVAT and GCMs that assume that canopy carbon and moisture fluxes have the same relative response to the environment as any single leaf, simplifying the task of modeling complex landscapes.
","language":"English","publisher":"MDPI","doi":"10.3390/s8042136","usgsCitation":"Glenn, E.P., Huete, A.R., Nagler, P.L., and Nelson, S.G., Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape: Sensors, v. 8, no. 4, p. 2136-2160, https://doi.org/10.3390/s8042136.","productDescription":"25 p.","startPage":"2136","endPage":"2160","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s8042136","text":"Publisher Index Page"},{"id":497937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Havasu National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.46320466185165,\n 34.705992498069406\n ],\n [\n -114.398916590966,\n 34.73603912838132\n ],\n [\n -114.53190465917093,\n 34.97188700395952\n ],\n [\n -114.64409364561838,\n 34.905752361774034\n ],\n [\n -114.54892208969932,\n 34.76089704626571\n ],\n [\n -114.46320466185165,\n 34.705992498069406\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":952873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huete, Alfredo R","contributorId":243589,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","middleInitial":"R","affiliations":[{"id":48742,"text":"School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia","active":true,"usgs":false}],"preferred":false,"id":952874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Stephen G.","contributorId":174719,"corporation":false,"usgs":false,"family":"Nelson","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":952876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205983,"text":"70205983 - null - Characterizing the two-dimensional thermal conductivity distribution in a sand and gravel aquifer","interactions":[],"lastModifiedDate":"2019-10-14T14:38:34","indexId":"70205983","displayToPublicDate":"2006-10-14T14:38:13","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the two-dimensional thermal conductivity distribution in a sand and gravel aquifer","docAbstract":"Both hydrologic and thermal transport properties play a significant role in the movement of heat through permeable sedimentary material; however, the thermal conductivity is rarely characterized in detailed spatial resolution. As part of a study of the movement of thermal plumes through a sand and gravel aquifer, we have constructed a two-dimensional profile of thermal conductivity. This work consisted of: (i) measuring the thermal conductivity of the soil solids, λs, for the main stratigraphic units using the steady-state divided-bar apparatus and estimating conductivity from mineral composition; (ii) measuring the volumetric water content and porosity using crosshole ground-penetrating radar; (iii) evaluating four models used to predict the apparent thermal conductivity, λ, of variably saturated soils and selecting the best model using the information-theoretic approach, (iv) calculating the λ field on a 0.25-m square cell grid using measured data and the selected model, and (v) simulating thermal transport within the two-dimensional domain using a finite element numerical model. The apparent thermal conductivity in the saturated aquifer ranges from 2.14 to 2.69 W m−1 K−1 with a mean of 2.42 W m−1 K−1 Numerical simulations show that the heterogeneous thermal conductivity field results in increased thermal dispersion that is most pronounced at the plume front. Our values for λ and λs may be used for glacial soils with similar mineralogy and texture. Our methods may also be used at other sites to construct the thermal conductivity distribution.
","doi":"10.2136/sssaj2005.0293","usgsCitation":"Markle, J.M., Schincariol, R.A., Sass, J., and Molson, J.W., Characterizing the two-dimensional thermal conductivity distribution in a sand and gravel aquifer: Soil Science Society of America Journal, v. 70, no. 4, p. 1281-1294, https://doi.org/10.2136/sssaj2005.0293.","productDescription":"14 p.","startPage":"1281","endPage":"1294","costCenters":[],"links":[{"id":368310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Tricks Creek Watershed ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.0458984375,\n 43.52266348752663\n ],\n [\n -81.6998291015625,\n 43.52266348752663\n ],\n [\n -81.6998291015625,\n 43.94537239244209\n ],\n [\n -82.0458984375,\n 43.94537239244209\n ],\n [\n -82.0458984375,\n 43.52266348752663\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Markle, Jeff M.","contributorId":219782,"corporation":false,"usgs":false,"family":"Markle","given":"Jeff","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schincariol, Robert A.","contributorId":219783,"corporation":false,"usgs":false,"family":"Schincariol","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":773165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, J.H.","contributorId":70749,"corporation":false,"usgs":true,"family":"Sass","given":"J.H.","email":"","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":773166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molson, John W.","contributorId":219784,"corporation":false,"usgs":false,"family":"Molson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":773167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263458,"text":"70263458 - null - Development of stochastic modeling systems using deterministic models and GIS: Principles and a case study in the Atlantic Zone of Costa Rica","interactions":[],"lastModifiedDate":"2025-02-11T16:55:21.741843","indexId":"70263458","displayToPublicDate":"2003-12-01T10:49:02","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Development of stochastic modeling systems using deterministic models and GIS: Principles and a case study in the Atlantic Zone of Costa Rica","docAbstract":"The most important requirements for large-area environmental modeling are a tight integration between models and data, and a close match of the spatial scale at which the model is developed with the scale at which the model is to be applied. To better match the scale of data with that of the model, we propose a set of principles for the development of stochastic modeling systems based on linkage of deterministic models with GIS data. For modeling purposes, a region is usually rasterized into cells and the environmental conditions of those cells are specified by ranges or classes using GIS data layers. It is not necessary to simulate each and every GIS cell in the study area because many cells may have similar environmental conditions and can be grouped together to form cohorts. We define a cohort as the assembly of the cells sharing a unique combination of environmental conditions within the study region. Multiple model simulations can be performed for any given cohort. For each simulation, some of the parameter values can be randomly generated within the specified environmental conditions of the cohort according to a certain statistical distribution which, in turn, can be specified by GIS data layers. By this method the variance and covariance of environmental variables in space and time are integrated into the simulation processes with these modeling systems to make full use of the available data and to assess the uncertainties of the simulated results. An integrated simulation system between CENTURY model and GIS was developed to demonstrate the value of the concepts imbedded in stochastic simulation systems for large area studies.
","conferenceTitle":"4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4)","conferenceDate":"September 2-8, 2000","conferenceLocation":"Banff, Alberta, Canada","language":"English","publisher":"University of Colorado, Cooperative Institute for Research in Environmental Sciences","usgsCitation":"Liu, S., Reiners, W.A., Gerow, K.G., Schimel, D.S., and Keller, M., Development of stochastic modeling systems using deterministic models and GIS: Principles and a case study in the Atlantic Zone of Costa Rica, 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Alberta, Canada, September 2-8, 2000, 9 p.","productDescription":"9 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":481935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.6133520275848,\n 9.499325548625436\n ],\n [\n -82.44230009071387,\n 9.73121764978167\n ],\n [\n -83.54701051633626,\n 11.16801392273345\n ],\n [\n -83.68242663302513,\n 10.951175271798036\n ],\n [\n -83.66104514091643,\n 10.78319089811086\n ],\n [\n -84.16707378749192,\n 10.566072375621317\n ],\n [\n -83.7038081251345,\n 9.604750752776496\n ],\n [\n -82.88418426096321,\n 9.506354909569495\n ],\n [\n -82.6133520275848,\n 9.499325548625436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":927046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reiners, William A.","contributorId":147117,"corporation":false,"usgs":false,"family":"Reiners","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":927047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerow, Kenneth G.","contributorId":49672,"corporation":false,"usgs":true,"family":"Gerow","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":927048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schimel, David S","contributorId":267312,"corporation":false,"usgs":false,"family":"Schimel","given":"David","email":"","middleInitial":"S","affiliations":[{"id":55473,"text":"Jep Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":927049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keller, Michael","contributorId":42681,"corporation":false,"usgs":true,"family":"Keller","given":"Michael","email":"","affiliations":[],"preferred":false,"id":927050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267836,"text":"ofr2000130 - null - Alaska resource data file: Chignak quadrangle","interactions":[],"lastModifiedDate":"2025-06-10T14:35:52.992213","indexId":"ofr2000130","displayToPublicDate":"2003-01-08T08:34:51","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":"2000-130","title":"Alaska resource data file: Chignak quadrangle","doi":"10.3133/ofr2000130","issn":"0094-9140","onlineOnly":"N","costCenters":[],"links":[{"id":489512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0130/coverthb.jpg"},{"id":489513,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0130/ofr00130.pdf"}],"publishedDate":"2003-01-08","noUsgsAuthors":false,"publicationDate":"2003-01-08","publicationStatus":"PW"} ,{"id":70206346,"text":"70206346 - null - Integrated geophysical characterization of the Winthrop Landfill Southern Flow Path, Winthrop, Maine","interactions":[],"lastModifiedDate":"2019-10-31T07:46:54","indexId":"70206346","displayToPublicDate":"2002-12-31T17:03:47","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated geophysical characterization of the Winthrop Landfill Southern Flow Path, Winthrop, Maine","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with United Technologies Corporation, used an integrated suite of borehole, surface, and water-borne geophysical methods near the site of the former Winthrop Landfill, Winthrop, Maine, to investigate the hydrogeology controlling the transport of leachate from the landfill to nearby Annabessacook Lake. During the fall of 2000 and summer of 2001, the USGS conducted borehole electromagnetic (EM) induction and gamma logging, and inductive terrain-conductivity, two-dimensional (2D) resistivity, continuous seismic reflection, and magnetic surveys.
The objectives of this integrated geophysical study were to provide constraints on the location and extent of the southern flow path(s) of contamination from the landfill to the lake; identify shoreline seep geophysical signatures; identify potentially hidden seeps in the lake; and determine depth to bedrock below Annabessacook Lake in the study area.
Interpretation of surface 2D resistivity, magnetic, and inductive terrain-conductivity data and borehole EM logs delineates an electrically conductive anomaly consistent with a leachate plume moving from the current landfill boundary southward through the overburden to the shores of Annabessacook Lake. Surface and borehole geophysical data collected south and southeast of the landfill indicate the presence of discrete, shallow conductive anomalies at the southeastern edge of the landfill and near the lakeshore. The conductive anomalies appear at increasing depths closer to the lake. Magnetic anomalies offshore confirm the presence of iron-rich landfill leachate discharging into the lake south of the landfill. High-resolution swept-frequency seismic data used to map sediment and grain size distribution in the lake sub-bottom along the shoreline identified sediment-infilled bedrock lows that may act as conduits for contaminant migration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the application of geophysics to engineering and environmental problems","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the application of geophysics to engineering and environmental problems","conferenceDate":"February 10-14, 2002","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Dawson, C.B., Lane, J., White, E.A., and Belaval, M., Integrated geophysical characterization of the Winthrop Landfill Southern Flow Path, Winthrop, Maine, in Proceedings: Symposium on the application of geophysics to engineering and environmental problems, Las Vegas, NV, February 10-14, 2002, 22 p.","productDescription":"22 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368774,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP02_13ESC6/"}],"country":"United States","state":"Maine","city":"Winthrop","otherGeospatial":"Winthrop Landfill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.9964714050293,\n 44.269419395641016\n ],\n [\n -69.9580192565918,\n 44.269419395641016\n ],\n [\n -69.9580192565918,\n 44.31561943401762\n ],\n [\n -69.9964714050293,\n 44.31561943401762\n ],\n [\n -69.9964714050293,\n 44.269419395641016\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dawson, Cian B. cbdawson@usgs.gov","contributorId":1890,"corporation":false,"usgs":true,"family":"Dawson","given":"Cian","email":"cbdawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":774237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. 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Vegetation patterns were determined from species presence as observed in transects and traverses on landforms developed along the stream. Distinct species distributional patterns were found on four common fluvial geomorphic landforms: depositional bar, active-channel shelf, floodplain, and terrace. Independent hydrologic characteristics (flow duration and flood frequency) were determined for each of the landforms. Vegetation data were analyzed by binary discriminant analysis, principal components analysis, and detrended correspondence analysis. Results and related field observations suggest that certain species are significantly associated with specific fluvial landforms. Vegetation patterns appear to develop more as a result of hydrologic processes associated with each fluvial landform rather than from sediment-size characteristics. Flood disturbance may be an important factor in maintaining the vegetation patterns, which may therefore be used as indicators for particular hydrogeomorphic site conditions.
Many of Puerto Rico's beaches are eroding, and though rates of erosion vary, it is a major concern for the tourism and residential development industries. More than 85 percent of the population lives within 7 kilometers of the coast and they are heavily dependent on tourists that are attracted by the island's beaches and coral reefs. High-quality scientific data are needed to help formulate public policy regarding residential and commercial construction along the coast, beach replenishment, and future use of marine resources. Scientists have long recognized that the causes of coastal land loss are not limited to a relative rise in sea level, but can be manmade as well. For example, sediment supply to beaches especially along the north shore of Puerto Rico has been strongly affected by upstream river channeling, dam construction, various agricultural practices, paving and urbanization, as well as shallow-water oceanographic processes. The response to coastal erosion in Puerto Rico has been mostly crisis based leading to engineered solutions that have a negative effect on the coastal environment.
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