Grantee Research Project Results
A National Assessment of Low-Streamflow Estimation Using a Physically Based Statistical Methodology
EPA Grant Number: R826888Title: A National Assessment of Low-Streamflow Estimation Using a Physically Based Statistical Methodology
Investigators: Kroll, Charles , Vogel, Richard
Institution: The State University of New York , Tufts University
EPA Project Officer: Hahn, Intaek
Project Period: September 1, 1998 through August 31, 2001 (Extended to December 31, 2003)
Project Amount: $363,500
RFA: Environmental Statistics (1998) RFA Text | Recipients Lists
Research Category: Aquatic Ecosystems , Environmental Statistics , Human Health
Description:
Objectives/Hypothesis: Low streamflow estimates are crucial for water quality management, issuing and/or renewing National Pollution Discharge Elimination System (NPDES) permits, planning water supplies, hydropower, and irrigation systems, and for assessing the impact of prolonged droughts on aquatic ecosystems. Unfortunately, there is no agreed upon methodology for estimating low streamflow statistics in the United States. The current methods for estimating low streamflow statistics are based on techniques recommended for flood frequency analyses. By combining recent advances and new methods in both physical and statistical hydrology with Geographic Information System mapping techniques, we will improve our ability to estimate low flow statistics in riverways throughout the entire United States. The methodology developed will provide water resource planners with a scientifically based procedure to estimate low streamflow statistics at both gauged and ungauged river sites throughout the United States. Physical-Statistical models developed will also aid in understanding the potential impact of global climate fluctuations on low streamflows.
Approach:
This project is based on a large U.S. Geological Survey-database of streamflows at over 1670 unregulated sites from 21 water resource regions throughout the United States. These data will be combined with watershed information such as topography geormorphology, geology, hydrogeology, land use, land cover and climate to develop regional physical/statistical methods for the estimation of drought flows in each of the 21 regions. A comparative analysis of hydrologic techniques for the estimation of droughts in riverways throughout the entire United States will be performed, including Bootstrap and Jackknife simulations and analytical statistical comparisons of existing and proposed methodologies.
Expected Results:
One result of this study will be a comprehensive analysis of all important low-streamflow issues throughout the United States. A methodology for estimating low streamflows both at gauged and ungauged river sites will be developed, and for each region, a recommended procedure for estimating low streamflows will be established. In addition, the potential impact of global climate change on droughts throughout the United States will investigated to gain information useful to water resource planners and managers.
Estimated Improvement in Risk-Assessment or Risk-Management: This research will greatly improve our ability to predict droughts throughout the United States, and thus better assess the risk of point and nonpoint source pollution discharges on aquatic ecosystems. In addition, it will also aid in drought risk management for water supply, hydropower, and irrigation systems, as well as risk management under global climate change scenarios. Low stream flows are also used in health risk assessments which quantify the long term risk associated with exposure to carcinogenic substances in rivers. Therefore, this research will also lead to improvements in waste load allocations designed to minimize future long term health risks.
Publications and Presentations:
Publications have been submitted on this project: View all 13 publications for this projectJournal Articles:
Journal Articles have been submitted on this project: View all 5 journal articles for this projectSupplemental Keywords:
Risk Assessment, GIS Geographic Information Systems, Watershed Hydrology, Statistical Hydrology, Regional Hydrology,, RFA, Scientific Discipline, Air, Ecosystem Protection/Environmental Exposure & Risk, Economic, Social, & Behavioral Science Research Program, Environmental Statistics, Ecological Indicators, Ecological Risk Assessment, Ecosystem Protection, Ecosystem/Assessment/Indicators, exploratory research environmental biology, Ecological Effects - Environmental Exposure & Risk, Atmospheric Sciences, Ecological Effects - Human Health, Hydrology, climate change, Chemical Mixtures - Environmental Exposure & Risk, Ecology and Ecosystems, low stream flow estimation model, ecosystem impacts, data analysis, data collection, water quality, environmental risks, global warming, innovative statistical models, risk assessment, stream flow, water resource planners, estimating low stream flow, statistical methodology, drinking water supplies, statistical methods, statistical models, streams, physically based statistical methodology, spatial-temporal methods, flood frequency analysis, ecological exposure, data models, global environmental data, land use, meteorology, mitigation strategies, physical environmental statistics research, hydropowerProgress and Final Reports:
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.