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RECORD NUMBER: 2 OF 4

OLS Field Name OLS Field Data
Main Title Method to Support Total Maximum Daily Load Development Using Hydrologic Alteration as a Surrogate to Address Aquatic-Life Impairment in New Jersey Streams.
Author J. G. Kennen ; M. L. Riskin ; P. A. Reilly ; S. J. Colarullo
CORP Author Geological Survey, Reston, VA.; New Jersey Dept. of Environmental Protection, Trenton.
Year Published 2013
Report Number USGS/SIR-2013-5089
Stock Number PB2014-105642
Additional Subjects Aquatic systems ; Watershed management ; New Jersey ; Models ; Ecosystems ; Investigation methods ; Tables (Data) ; Hydrologic aspects ; Streams ; Restoration ; Protection ; Decision support system
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB2014-105642 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 09/17/2014
Collation 98p
Abstract
More than 300 ambient monitoring sites in New Jersey have been identified by the New Jersey Department of Environmental Protection (NJDEP) in its integrated water-quality monitoring and assessment report (that is, the 305(b) Report on general water quality and 303(d) List of waters that do not support their designated uses) as being impaired with respect to aquatic life; however, no unambiguous stressors (for example, nutrients or bacteria) have been identified. Because of the indeterminate nature of the broad range of possible impairments, surrogate measures that more holistically encapsulate the full suite of potential environmental stressors need to be developed. Streamflow alteration resulting from anthropogenic changes in the landscape is one such surrogate. For example, increases in impervious surface cover (ISC) commonly cause increases in surface runoff, which can result in flashy hydrology and other changes in the stream corridor that are associated with streamflow alteration. The NJDEP has indicated that methodologies to support a hydrologically based Total Maximum Daily Load (hydro-TMDL) need to be developed in order to identify hydrologic targets that represent a minimal percent deviation from a baseline condition (minimally altered) as a surrogate measure to meet criteria in support of designated uses. The primary objective of this study was to develop an applicable hydro-TMDL approach to address aquatic-life impairments associated with hydrologic alteration for New Jersey streams. The U.S. Geological Survey, in cooperation with the NJDEP, identified 51 non- to moderately impaired gaged streamflow sites in the Raritan River Basin for evaluation. Quantile regression (QR) analysis was used to compare flow and precipitation records and identify baseline hydrographs at 37 of these sites. At sites without an appropriately long period of record (POR) or where a baseline hydrograph could not be identified with QR, a rainfall-runoff model.