Item talk:Q228577

From geokb

{

 "@context": "http://schema.org/",
 "@type": "WebPage",
 "additionalType": "Project",
 "url": "https://www.usgs.gov/programs/climate-research-and-development-program/science/natural-drought-and-flood-histories",
 "headline": "Natural Drought and Flood Histories from Lacustrine Archives",
 "datePublished": "November 28, 2018",
 "author": [
   {
     "@type": "Person",
     "name": "Jessica Rodysill, Ph.D.",
     "url": "https://www.usgs.gov/staff-profiles/jessica-rodysill",
     "identifier": {
       "@type": "PropertyValue",
       "propertyID": "orcid",
       "value": "0000-0002-3602-7227"
     }
   }
 ],
 "description": [
   {
     "@type": "TextObject",
     "text": "The Holocene Synthesis Project integrates a variety of information about past climate variability across the North American continent for the past ~12,000 years."
   },
   {
     "@type": "TextObject",
     "text": "Objective(s):"
   },
   {
     "@type": "TextObject",
     "text": "Why this Research is Important: This project performs research that is vital to guiding decision-making and policy for preserving our nation\u2019s resources, specifically water resources and wildlife habitat.  By characterizing the history and controls of drought across the landscape, this project assists in the management of the water resources that are vital for drinking water supplies, agriculture, and industry. This project advances understanding of the drivers of change and improves predictability of natural hazards, including floods and tropical cyclones, that threaten the safety and economic prosperity of the nation\u2019s populations."
   },
   {
     "@type": "TextObject",
     "text": "Biological proxies such as diatoms, foraminifers, ostracodes, and pollen allow scientists to make inferences about climate conditions in the past."
   },
   {
     "@type": "TextObject",
     "text": "This project aims to expand existing data with additional paleorecords, which are needed to disentangle the complex patterns of and controls on interior continental hydrologic variability during the past ~12,000 years (i.e. the Holocene).  Clarifying the spatial patterns of drought and moisture trends is fundamental for comparison with other datasets to understand the mechanisms that drive natural, low-frequency variability and for improving computer models that predict future changes.  Data produced for this project is directly useful for local, state, and federal governments for mitigation planning, disaster relief, wildlife conservation, and resource management.  Climate model researchers will benefit from data produced during this project, which provides an independent dataset to test model performance and improve prediction of future patterns and trends."
   },
   {
     "@type": "TextObject",
     "text": "Statement of Problem: Heavy rainfall, flooding, and drought frequently devastate North American populations and are predicted to continue posing serious threats over the next century.  These hydrologic extremes and regional hydrology at centennial and millennial timescales are not well understood. Paleoclimate records capture this low-frequency variability that instrumental records are too short to capture, yet the hydrology of the central U.S. is highly complex and paleorecords from the region are exceedingly sparse."
   },
   {
     "@type": "TextObject",
     "text": "Interpretations of flood histories will be based upon multi-proxy evidence for high energy event deposition (e.g. coarse grain abundance, stratigraphic evidence for event deposition and/or slumping, geochemical evidence of sediment delivery from land surrounding the lake during periods of higher runoff) paired with elevation-based flood modeling, where possible. Where the sediment record overlaps with instrumental data, proxy validation will be performed to strengthen downcore proxy interpretations."
   },
   {
     "@type": "TextObject",
     "text": "Previous work performed as part of the USGS Holocene Synthesis project illuminated complex centennial-scale patterns of drought and wetter-than-average conditions across the North American continent interior during the past two millennia, where paleorecord data coverage is sparse.  In order to explain the patterns of naturally-occurring drought, floods, and storms for the past, identified by the Holocene Synthesis project, this project develops new, well-dated, high-resolution reconstructions from lake sediment archives from the continent interior.  Using a combination of new and existing sediment cores, this project utilizes geophysical, geochemical, and biological proxy data in concert with novel 14C, 210Pb, and 137Cs-based statistical approaches for quantifying age-depth relationships to expand paleoflood and drought data coverage across the Upper Midwest and central U.S. during the Holocene."
   },
   {
     "@type": "TextObject",
     "text": "Sediment cores will be split and imaged with classic sedimentology observations described in detail.  Sediment sub-samples will be analyzed for bulk mineralogy, grain size, and organic content.  These basic analyses will guide more specialized lab measurements for each site based on the presence and variability in abundance/types of geochemical, geophysical, and/or biological sediment components downcore.  Sediment-based records will be dated using radiometric dating techniques (e.g. radiocarbon), and statistical age modeling will be performed to produce age-depth relationships with uncertainty approximations."
   },
   {
     "@type": "TextObject",
     "text": "Interpretations of drought histories will be based upon multiproxy evidence, mainly proxies for lake salinity, runoff, stratigraphic evidence for desiccation, and lake water elevation changes.  Supporting information from vegetation proxies, diatom assemblages, evidence of fires, and isotopes of precipitation will be included when possible.  Where the sediment record overlaps with instrumental data, proxy validation will be performed to strengthen downcore proxy interpretations."
   },
   {
     "@type": "TextObject",
     "text": "Learn more about this project and its role in the Florence Bascom Geoscience Center."
   },
   {
     "@type": "TextObject",
     "text": "Methods: Preliminary study site research will include searching the literature for previous work performed in the region, searching online databases for site information and data from previous studies, using historic maps and imagery to characterize the quality of proposed sites for flood and lake level reconstructions, and performing site visits to obtain basic water depth and geophysical (e.g. ground penetrating radar/seismic reflection) data as well as water and surface sediment samples.  Sites determined to have high potential for archiving a continuous, high-resolution record of environmental changes with known historical flooding/drought will be prioritized to improve proxy validation."
   }
 ],
 "funder": {
   "@type": "Organization",
   "name": "Climate Research and Development Program",
   "url": "https://www.usgs.gov/programs/climate-research-and-development-program"
 },
 "about": [
   {
     "@type": "Thing",
     "name": "Paleoclimate"
   },
   {
     "@type": "Thing",
     "name": "Energy"
   },
   {
     "@type": "Thing",
     "name": "Geology"
   },
   {
     "@type": "Thing",
     "name": "paleoclimate"
   },
   {
     "@type": "Thing",
     "name": "Sediment Cores"
   },
   {
     "@type": "Thing",
     "name": "Science Technology"
   },
   {
     "@type": "Thing",
     "name": "Drought and Floods"
   },
   {
     "@type": "Thing",
     "name": "Environmental Health"
   },
   {
     "@type": "Thing",
     "name": "Hydrologic Change"
   },
   {
     "@type": "Thing",
     "name": "Climate"
   },
   {
     "@type": "Thing",
     "name": "Water"
   },
   {
     "@type": "Thing",
     "name": "Climate modelling"
   },
   {
     "@type": "Thing",
     "name": "Information Systems"
   },
   {
     "@type": "Thing",
     "name": "water resources"
   },
   {
     "@type": "Thing",
     "name": "Climate Change"
   },
   {
     "@type": "Thing",
     "name": "Methods and Analysis"
   }
 ]

}