Hysteresis‐based analysis of overland metal transport

Mishra, Surendra Kumar; Sansalone, John J.; Singh, Vijay P.

doi:10.1002/hyp.1200

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…Although there are limited studies on the effects of floods on water composition as an event progresses there are numerous studies on the relations between storms, runoff, and streamwater quality. Storm cycle concentration-discharge relations exhibit a hysteresis loop with greatest concentrations occurring during the “first flush” coincident with the rising limb of the hydrograph, followed by lower concentrations at peak discharge, continuing decreases on the falling limb, and minimum concentrations at groundwater-dominated base flow. , Although streams respond similarly to typical storms and flash floods, the effects of extreme floods are more complex because of differences in duration (hours to days for storms, weeks to months for floods), intensity (reversal of groundwater discharge/recharge relations during floods), and extent (stream reach versus watershed). When the concentration of a constituent is greater in groundwater than in event water, the constituent becomes more dilute on the rising limb and less dilute on the falling limb.…”

Section: Effects Of the Flood On Water Qualitymentioning

confidence: 99%

Effects of an Extreme Flood on Trace Elements in River Water—From Urban Stream to Major River Basin

Barber

Paschke

Battaglin

et al. 2017

Environ. Sci. Technol.

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Major floods adversely affect water quality through surface runoff, groundwater discharge, and damage to municipal water infrastructure. Despite their importance, it can be difficult to assess the effects of floods on streamwater chemistry because of challenges collecting samples and the absence of baseline data. This study documents water quality during the September 2013 extreme flood in the South Platte River, Colorado, USA. Weekly time-series water samples were collected from 3 urban source waters (municipal tap water, streamwater, and wastewater treatment facility effluent) under normal-flow and flood conditions. In addition, water samples were collected during the flood at 5 locations along the South Platte River and from 7 tributaries along the Colorado Front Range. Samples were analyzed for 54 major and trace elements. Specific chemical tracers, representing different natural and anthropogenic sources and geochemical behaviors, were used to compare streamwater composition before and during the flood. The results differentiate hydrological processes that affected water quality: (1) in the upper watershed, runoff diluted most dissolved constituents, (2) in the urban corridor and lower watershed, runoff mobilized soluble constituents accumulated on the landscape and contributed to stream loading, and (3) flood-induced groundwater discharge mobilized soluble constituents stored in the vadose zone.

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Section: Effects Of the Flood On Water Qualitymentioning

confidence: 99%

Effects of an Extreme Flood on Trace Elements in River Water—From Urban Stream to Major River Basin

Barber

Paschke

Battaglin

et al. 2017

Environ. Sci. Technol.

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“…Multiple linear regression tests showed that AADT, as well as antecedent dry period, drainage area, maximum rain intensity and land use, influenced most highway runoff constituent concentrations. • Mishra, et al (2003) developed mass rating curves for runoff rate and mass of 12 dissolved and particulate-bound metal elements from Cincinnati, OH. Zinc was found to increase with antecedent dry period.…”

Section: Other Accumulation and Washoff Data Sourcesmentioning

confidence: 99%

Review of Historical Street Dust and Dirt Accumulation and Washoff Data

Pitt

Williamson

Voorhees³

et al. 2005

JWMM

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Many complex models that utilize continuous simulation (SWMM, HSPF, SLAMM, SIMPTM, etc.) require information pertaining to the accumulation rate of pollutants on the land surfaces. This is one of the most perplexing issues in stormwater modeling. A representation of the accumulation rates is usually obtained through trial and error during calibration, with little, if any, actual direct measurements. Historically, direct measurements have been misapplied in modeling applications, resulting in unreasonable model predictions. Many modelers therefore forego accumulation rate data, preferring to back into values from outfall observations. This approach makes it very difficult to correctly predict the sources of stormwater pollutants in urban areas and to make reasonable stormwater management decisions using source area controls. This dilemma has come about due to a major misinterpretation of previously collected field data: the assumption that street dirt loadings are zero after most rains. With the correct understanding and modeling of the washoff process, the vast amount of historically collected accumulation data becomes an important modeling resource. This Chapter presents a summary of this useful information. This information has been used in Pitt and Voorhees' Source Loading and Management Model (SLAMM) and variations have been used in Sutherland's Simple Particulate Transport Model (SIMPTM) to more accurately predict these important source area processes. Relatively simple modifications can be made to other continuous models that utilize accumulation and washoff functions for more accurate and complete stormwater control predictions.

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“…No direct linear correlation was found between highway runoff pollutant event mean concentrations (EMCs) and AADT, but multiple linear regression showed that AADT, as well as antecedent dry period (ADP), drainage area, maximum rain intensity and land use, influenced most highway runoff constituent concentrations. Mishra, et al (2003) developed hysteresis and normal mass rating curves were developed for runoff rate and mass of 12 dissolved and particulate bound metal elements from Cincinnati, OH. Zinc was found to increase with antecedent dry period (ADP).…”

Section: Highway and Other Roadway Runoffmentioning

confidence: 99%

Sources of Pollutants in Urban Areas (Part 2) - Recent Sheetflow Monitoring

Pitt

Bannerman

Clark

et al. 2005

JWMM

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Two research projects that examined source area sheetflows that were conducted in the 1990s are high-lighted in this chapter. These are a comprehensive project conducted in Birmingham, AL, as part of a project developing a control strategy for critical source areas, and a series of related projects conducted in Wisconsin as part of the DNR's efforts in calibrating the Source Loading and Management Model (SLAMM). A bibliography of recent source area monitoring activities by other researchers is also included in this chapter.These recent projects conducted in Alabama and Wisconsin are more comprehensive than the earlier monitoring efforts described in the previous chapter. These large projects included a wide range of land uses, source sources, and pollutants, in coordinated monitoring efforts. This information complements the data presented previously. Pitt, et al. (1995) studied stormwater runoff samples from a variety of source areas under different rain conditions in Birmingham, AL. All of the samples were analyzed in filtered (0.45 µm filter) and non-filtered forms to enable Birmingham, Alabama, Sheetflow Monitoring

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Hysteresis‐based analysis of overland metal transport

Cited by 5 publications

References 21 publications

Effects of an Extreme Flood on Trace Elements in River Water—From Urban Stream to Major River Basin

Effects of an Extreme Flood on Trace Elements in River Water—From Urban Stream to Major River Basin

Review of Historical Street Dust and Dirt Accumulation and Washoff Data

Sources of Pollutants in Urban Areas (Part 2) - Recent Sheetflow Monitoring

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