Filters: partyWithName: Carl S Carlson (X)
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The purpose of the project was to conduct an extensive search for both published and ongoing research that, in general, deals with climate change and agriculture in a water quality context for the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and Upper Midwest and Great Lakes LCC. Kasey Hutchinson (Iowa Water Science Center) is project lead, with support from Carl Carlson (Massachusetts Water Science Center) and Charlie Perry (Kansas Water Science Center). The search was two-fold; one portion of the search dealt with an on-line literature search for published peer-reviewed articles for the time period of 2000 (sometimes slightly earlier depending on the relative degree of the...
The purpose of the project was to conduct an extensive search for compelted and ongoing research that deals with climate change and agriculture in the context of water quality, for the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and the Upper Midwest and Great Lakes LCC. The search to acquire this information was two-fold. One portion of the search dealt with an online literature search for published peer-reviewed articles for the period of approximately 2000 to present. The second portion of the search dealt with contacting US Geological Survey (USGS) Water Science Centers and state institutions to request information on current research projects dealing with this topic that...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Landscapes,
Northeast CASC,
Other Landscapes,
Science Tools For Managers
Residence time distribution (RTD) is a critically important characteristic of groundwater flow systems; however, it cannot be measured directly. RTD can be inferred from tracer data with analytical models (few parameters) or with numerical models (many parameters). The second approach permits more variation in system properties but is used less frequently than the first because large-scale numerical models can be resource intensive. With the data and computer codes in this data release users can (1) reconstruct and run 115 General Simulation Models (GSMs) of groundwater flow, (2) calculate groundwater age metrics at selected GSM cells, (3) train a boosted regression tree model using the provided data, (4) predict...
The U.S. Geological Survey (USGS) assisted the Massachusetts Department of Environmental Protection (MassDEP) with the Massachusetts Estuary Project (MEP), by delineating groundwater-contributing areas to various hydrologic features including ponds, streams, and coastal water bodies, throughout southeastern Massachusetts. These contributing areas were delineated over a 6-year period from 2003 to 2008 using previously published USGS groundwater-flow models for the Plymouth-Carver region (Masterson and others, 2009), the Sagamore (western) and Monomoy (eastern) flow lenses of Cape Cod (Walter and Whealan, 2005), and lower Cape Cod (Masterson, 2004). The original USGS groundwater-contributing areas were subsequently...
The purpose of the project was to conduct an extensive search for completed and ongoing research that deals with climate change and agriculture in the context of water quality, for the Eastern Tallgrass Prairie and Big Rivers Landscape Conservation Cooperative (LCC) and the Upper Midwest and Great Lakes LCC. The search to acquire this information was two-fold. One portion of the search dealt with an online literature search for published peer-reviewed articles for the period of approximately 2000 to present. The second portion of the search dealt with contacting US Geological Survey (USGS) Water Science Centers and state institutions to request information on current research projects dealing with this topic that...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
General Groundwater-Model Construction System Version 0.1 (Genmod0.1) Groundwater residence-time distributions (GRTD) are critical for assessing lag times between activities at the land surface and the emergence of related solutes in the baseflow of streams. However, GRTD can not be measured directly, they must be inferred from an analysis of data using models. Glacial aquifers present challenges to modeling approaches because they are spatially discontinuous and have highly variable properties. An innovative approach developed by the U.S. Geological Survey (USGS) uses machine learning techniques in conjunction with numerical models that results in a rapid and robust way of generating GRTD. The main idea is to...
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