Salt vulnerability assessment methodology for urban streams

Betts, Andrew; Gharabaghi, Bahram; McBean, Edward A.

doi:10.1016/j.jhydrol.2014.06.005

Cited by 27 publications

(14 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, urban streams are characterized by higher run‐off volumes, peak discharges, and higher pollutant loads when compared with their non‐urban counterparts (Barbosa, Fenandes, & David, ; Berndtsson, ; Iibery et al, ; Saraswat, Kumar, & Mishra, ; Zoppou, ). Urban streams are more susceptible to floods, elevated sediment, nutrient and chloride loads, and increasing summer stream temperatures, negatively affecting human and ecological health (Anderson, Watt, & Marsalek, ; Betts, Gharabaghi, & McBean, ; Booth & Bledsoe, ; Haq & James, ; James & Verspagen, ; Klemetson & Rogers, ; Walsh et al, ; Xie & James, ).…”

Section: Introductionmentioning

confidence: 99%

Water age in stormwater management ponds and stormwater management pond‐treated catchments

Morales

Oswald

2020

Hydrological Processes

View full text Add to dashboard Cite

Expansion of impervious surface cover results in "flashy" hydrologic response, elevated flood risk, and degraded water quality in urban watersheds. Stormwater management ponds (SWMPs) are often engineered into stream networks to mitigate these issues. A clearer understanding of how water is stored and released from SWMPs and SWMP-treated catchments is required to better represent these engineered systems in hydrological and water quality models of urban and urbanizing watersheds. Stable water isotopes were used to compare water age in SWMPs and SWMP-treated catchments in an urbanizing watershed. We sampled water biweekly from two SWMPs and five stream sites with varying land cover and stormwater control in their catchments. Two inverse transit time proxies (damping ratio and young water fraction) were computed along with the mean transit time (MTT) by sine-wave fitting for each SWMP and stream site using the δ 18 O and δ 2 H data. Water entering the SWMPs was consistently older (224 and 177 days) than water in or exiting the ponds (ranging from 46 to 91 days and 39 to 67 days, respectively). This finding is likely due to a combination of groundwater infiltration into broken sewer pipes that transport water into the ponds and a bias toward baseflow sampling. At the catchment scale, detention provided by SWMPs was not found to be more significant than the interactive effects of impervious cover, surficial geology, land use proportions, and catchment size in determining MTT. Overall, surficial geology explained the most variation in MTT among the seven sites. This study illustrates the potential for isotope-based approaches of water age to provide information on individual SWMP functioning and the influence of SWMPs on catchment-scale water movement. K E Y W O R D Sisotope tracers, retention pond, stable water isotope, stormwater management, transit time, urban hydrology

show abstract

Section: Introductionmentioning

confidence: 99%

Water age in stormwater management ponds and stormwater management pond‐treated catchments

Morales

Oswald

2020

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…Although expectations are for shorter and warmer winters, it is not clear that the form of precipitation will necessarily lead to a reduction in required road salt usage (Arvidsson et al, 2012). Previous models used for investigating anthropogenic chloride in the environment include catchment mass balance (Kelly et al, 2008; Shaw et al, 2012; Betts et al, 2014), statistical models (Anning and Flynn, 2014; Corsi et al, 2015), local‐ (Bester et al, 2006) to regional‐scale (Boutt et al, 2001; Wayland et al, 2002) numerical groundwater transport models, and a spatially distributed catchment model (Jin et al, 2011). Presently, there have been few attempts to utilize macroscale models to investigate changes in road salt usage and chloride impairment associated with interannual dynamics of climate and human development.…”

mentioning

confidence: 99%

Controls of Chloride Loading and Impairment at the River Network Scale in New England

et al. 2018

View full text Add to dashboard Cite

Chloride contamination of rivers due to nonpoint sources is increasing throughout developed temperate regions due to road salt application in winter. We developed a river-network model of chloride loading to watersheds to estimate road salt application rates and investigated the meteorological factors that control riverine impairment by chloride at concentrations above thresholds protective of aquatic organisms. Chloride loading from road salt was simulated in the Merrimack River watershed in New Hampshire, which has gradients in development density. After calibration to a regional network of stream chloride data, the model captured the distribution of regional discharge and chloride observations with efficiencies of 93 and 75%, respectively. The estimate of road salt application is within uncertainties of inventoried estimates of road salt loading and is 122 to 214% greater than recommended targets. Model predictions of chloride showed seasonal variation in chloride concentrations despite a large groundwater storage pool. Interannual variation of mean summer chloride concentration near the outlet varied up to 18%, and the total river length exceeding impairment thresholds varied 12%. Annual snowfall, which drives road salt loading, correlated with chloride impairment only in headwater streams, whereas concentration variability at the outlet was driven primarily by dilution from clean runoff-draining undeveloped forested areas of the watershed. The role of summer meteorology complicates the protection of freshwater systems from chloride contamination.

show abstract

“…An understanding of precipitation variability is also needed for flood and drought preparedness planning. There is a need to better understand the spatial and temporal variability in precipitation to more accurately model the hydrologic system and the health of aquatic life (Perera et al 2009;Perera et al 2010;Perera et al 2013;Betts et al 2014;Betts et al 2015;Sabouri et al 2013;Gazendam et al 2016). Parameters that represent this variability may be important factors to include in modeling studies (Vasiljevic et al 2012;Rudra et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Investigating the Spatial and Temporal Variability of Precipitation using Entropy Theory

Atieh

Rudra

Gharabaghi

et al. 2017

JWMM

View full text Add to dashboard Cite

This study uses entropy theory to develop a novel application of the apportionment entropy disorder index (AEDI) to capture both spatial and temporal variability in monthly precipitation for various types of hydrologic modeling. In total, 41 Environment Canada stations across Ontario with long term (1955 to 2005) records and a very low percentage of missing data were selected. It was found that the fall and summer seasons are the major contributors to annual precipitation variability. Spatial variability of annual precipitation was observed to be increasing from southern to northern Ontario. The AEDI index map of Ontario, developed in this study, has been successfully integrated into several hydrologic models.

show abstract

Salt vulnerability assessment methodology for urban streams

Cited by 27 publications

References 19 publications

Water age in stormwater management ponds and stormwater management pond‐treated catchments

Water age in stormwater management ponds and stormwater management pond‐treated catchments

Controls of Chloride Loading and Impairment at the River Network Scale in New England

Investigating the Spatial and Temporal Variability of Precipitation using Entropy Theory

Contact Info

Product

Resources

About