The GARFO Protected Resources Division is dedicated to managing, conserving, and rebuilding endangered and threatened marine species. Lynker designed and implemented the Endangered Species Act (ESA) Section 7 Mapper to assist Federal action agencies in identifying the ESA-listed species and critical habitat in their project action area. Awarded for being an innovative project solution, the Section 7 Mapper is an interactive GIS visualization tool combining GIS data into critical habitat layers based upon regulatory boundaries.
Shown on Success Stories Page
The National Center for Science and Engineering Statistics (NCSES) is responsible for the collection, analysis, and dissemination of statistical data. To support their mission, Lynker provides database maintenance, ETL development, data quality verification, and visualization, analysis, and governance. We have increased their overall data quality and recently received recognition for the value of our innovative data analytics techniques through a 30% increase in contract cap to further our efforts.
In alignment with the State of Colorado’s commitment to address changing climate conditions, Lynker was contracted by the State to assist in updating Colorado’s Drought Mitigation and Response Plan. Project deliverables included the production of a fully updated mitigation and response plan in compliance with Federal Emergency Management Agency requirements for enhanced state hazard mitigation plans and the Emergency Management Accreditation Program standards. In addition, Lynker provided an updated drought vulnerability assessment which provides the necessary basis for an updated and comprehensive mitigation strategy. The plan is an element of meeting FEMA enhanced state plan requirements and will guide the State in determining risk and vulnerability of assets and how to mitigate impacts. Critical to the update of the plan was an analysis of events since 2013, actions taken during those events, and incorporating the latest science and a review of monitoring and mitigation activities to improve integration of the relationship between climate change and drought in Colorado.
Lynker’s scientist, under contract with the NM State Engineer’s office developed a MODFLOW numerical groundwater model and a NETPATH geochemical model to characterize the Salt Basin aquifer in southern NM. Environmental tracers and geochemical evolutions were used to delineate recharge zones, identify groundwater flow paths, characterize fracture flow, and estimate groundwater flow rates and permeability. Radiocarbon dating of groundwater was used to calibrate the MODFLOW model to estimate annual recharge and determine appropriable water for administration by the State.
For more than eight years, Lynker Senior Scientist Dr. Cameron Wobus has supported the US Environmental Protection Agency (EPA) in developing national-scale analyses to estimate and quantify the economic impacts of climate change on multiple sectors. He has developed customized models to quantify the impacts of climate change on the downhill skiing industry; damages from inland flooding events; and extreme heat metrics across the United States. Each of these studies has been published in the peer-reviewed literature, and the majority of the results were used to support the National Climate Assessment.
In the wake of the September 2013 Jamestown flooding and ensuing damage, the Town of Jamestown, Colorado has been working to improve early warning systems for the Town. This project assessed the current systems in place to provide early flood and rainfall warnings and proposed improvements to that system. In addition, the Lynker team developed a desktop analysis of rainfall and geographic data from the 2013 flood events to evaluate the effectiveness of the existing rain/stream gauge network and flood early warning system near Jamestown.
During the analysis, our team explored numerous geo-spatial data products (point, line, polygon, and raster) for the James Creek watershed to fully understand the meteorological and hydrological response of the basin. Using the spatial data products, we developed a comprehensive heat map of the James Creek region to highlight regions of preferential gauge placement. Our staff performed field site assessments within each of the 4 regions of the watershed identified in the analysis. Preferential gauge sites were located and documented for further review (e.g. GPS coordinates, site photos, and parcel information). We also performed a live transmission test at each field location to evaluate the communication signal strength.
Upon final evaluation of the existing gauge network, site visit analysis, budgetary overview, and communications with emergency management personnel, the Lynker team developed a final recommendation for a new rain gauge location that provides enhanced basin rainfall coverage and the highest likelihood of advanced warning lead time during heavy rainfall events.
From 2010-2015, Lynker senior scientist Dr. Cameron Wobus assisted the State of Louisiana with data analysis and modeling to support the NRDA for the Deepwater Horizon oil spill. His tasks included quantification of miles exposed to shoreline oiling and accelerated coastal erosion rates, the development of a hydrodynamic model of oil fate and transport in Louisiana bays, and the development of techniques to quantify the extent of water column toxicity to early life stage fish in offshore waters.
Since the spring of 2018, Lynker has been supporting the Louisiana Coastal Protection and Restoration Authority (CPRA) with restoration planning for coastal marsh restoration in the Barataria Basin. Tasks include coordination between CPRA and the Louisiana Trustee Implementation Group (established as part of the Deepwater Horizon settlement) and preparing restoration planning documentation to comply with National Environmental Policy Act and Oil Pollution Act regulations. Senior Scientist Dr. Cameron Wobus also supported CPRA in technical analyses to support restoration planning and permitting for the Mid-Barataria Sediment Diversion project, which will reconnect the Mississippi River to the Barataria Basin to provide a sustainable source of sediment to replenish marsh habitats.
The Chatfield Watershed Authority requested a modeling solution that would aid in tracking sources of phosphorus from the watershed and allow for the evaluation of management decisions. Lynker teamed with an experienced engineering firm to complete the project which included a thorough model selection process, data collection of hydrologic and water quality data, data gap analysis, and building and calibrating a HSPF water quality model. The model was built to track total phosphorus loading to Chatfield Reservoir so that best management practices could be implemented to reduce total phosphorus concentrations. Model development included the collection of model input data (precipitation, potential evapotranspiration, wind speed, land use, soils data, etc.), watershed delineation, as well as point source loading data. The hydrologic component of the model was calibrated using USGS streamflow data, while the water quality processes were calibrated using grab sample data provided by the Chatfield Watershed Authority. The model is used to connect with the Chatfield Reservoir model to complete management scenario analyses in the future.
Lynker completed a climate-change impact analysis for a confidential client in California. The purpose of the study was to provide climate-impacted hydrology (streamflow, irrigation water demand) for a future planning horizon. Our team provided a low-cost solution by utilizing existing Bureau of Reclamation Coupled Model Intercomparison Project (CMIP5) climate change runs processed through the Variable Infiltration Capacity (VIC) hydrologic model. The future climate-impacted hydrology from 2020-2049 (streamflow, evapotranspiration) was compared to a baseline hydrology from 1970-1999, to determine a monthly set of “change factors” for water supply and water demand (streamflow and irrigation water demand, respectively). The change factors were applied to the historical hydrology datasets to create climate-adjusted timeseries for streamflow and water demand, which were used to evaluate future water supply conditions.