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CAREER: Climate Informed Uncertainty Analyses for Integrated Water Resources Sustainability Principal Investigator: Sankarasubramanian Arumugam
 

Summary: CAREER: Climate Informed Uncertainty Analyses for Integrated Water Resources Sustainability
Principal Investigator: Sankarasubramanian Arumugam
The objectives of this research are to (1) quantify the relative roles of climate variability in modulating
seasonal streamflow and water quality variability over relatively undeveloped basins in the southeastern
U.S., (2) investigate the utility of seasonal climate forecasts in improving water supply and water quality
management and in developing adaptive water management plans for promoting water sustainability in
regions such as the Neuse river basin, NC, (3) integrate research findings into (i) on-campus and distance
education courses at NCSU, (ii) water-related courses at HCBUs in NC, and (iii) summer training
programs for junior/senior high school students, and (4) demonstrate to federal and state agencies,
research institutes and non-profits the use of climate forecasts in developing streamflow and water quality
forecasts for impaired water bodies, for example, in NC. Various measures will be employed to quantify
the causal chain that associates climatic variability with streamflow and water quality variability. Multiple
General Circulation Models (GCMs) forecasts will be utilized to develop streamflow and water quality
forecasts, which are ingested into water allocation and water quality management models. Retrospective
analyses using these forecasts will be performed to develop an integrated water management plan. This
research aims to create a fundamental body of knowledge on understanding the role of climate variability
in modulating streamflow and water quality in river basins. It is expected that findings from this research
will offer insights on the vulnerability of water quality attributes to climatic variability. Streamflow
forecasts developed using GCM forecasts will reduce model uncertainty and improve seasonal water
allocation and water quality management plans. Generalizing the findings will help in understanding the

  

Source: Arumugam, Sankar - Department of Civil, Construction, and Environmental Engineering, North Carolina State University

 

Collections: Environmental Sciences and Ecology; Engineering