Evaluation of a resilience training program for college student-athletes: A pilot study.

Objective: To determine if a resilience training program improved knowledge of and intention to use adaptive coping strategies among college student-athletes; and explore college student-athletes' experiences and satisfaction with program components. Participants: Division I college student-athletes. Methods: Pretest-posttest design with surveys completed at baseline and immediately post-program. Results: A total of 79 participants were included (n = 43 [54.4%] females; n = 36 [45.6%] males; Mage = 20.94, [SD = 1.05]). Overall intention to use adaptive coping strategies significantly increased from baseline (M = 29.05, SD = 4.50) to post-program (M = 32.38, SD = 5.62) (p = 0.0004), as did intentions to use the coping strategies seeking social support (p = 0.0037) and self-controlling (p = 0.0007). We found no statistically significant differences in knowledge scores from baseline to post-program. Conclusions: Resilience training may increase college student-athletes' likelihood of using adaptive coping strategies to manage academic and sport-related stressors.

Polycyclic aromatic hydrocarbons in stormwater runoff from sealcoated pavements.

Coal-tar based sealcoat has been identified as a source of polycyclic aromatic hydrocarbons (PAHs) in the environment. This study measured the long-term release of PAHs in parking lot runoff and found that the presence of coal tar sealant increased the mass of PAHs released in runoff by over an order of magnitude. PAH concentrations in stormwater from two coal tar sealed parking lots and one unsealed parking lot (control) were monitored over a two-year period. The measured flow volume and concentrations were used to calculate a mass of 9.8-10.8 kg total Σ16 PAHs per hectare exported in stormwater runoff from the two sealed parking lots and 0.34 kg total Σ16 PAHs per hectare from the unsealed control. The study also measured sediment PAH concentration changes in a receiving drainage and found that even partial coverage of a drainage area by coal tar sealant resulted in measurable increases in PAH sediment concentrations; PAH concentrations in sediment in a stormwater swale receiving runoff from both sealed and unsealed lots increased near the outfall from less than 4 mg/kg prior to sealing to 95.7 mg/kg after sealing. Compound ratio plots and principal components analysis were examined and were able to clearly differentiate between pre- and postsealant samples.

A spatial life cycle cost assessment of stormwater management systems.

Although widely implemented, the research and understanding of the economic impacts and benefits of green infrastructure (GI) systems remain limited. Currently, few studies have investigated the economics of GI systems from a spatial perspective and typically opportunity costs related to land and property tax were ignored. This study aims at bridging these gaps by investigating both the equivalent annual costs (EAC) and cost effectiveness of seven GI systems and compare them against local wastewater treatment facilities in five different US cities. To do this, we utilized capital and maintenance cost data obtained from GI systems that are currently installed at the University of New Hampshire. The costing data were then extrapolated across five different cities considering reported local material, land, tax, and labor rates. A system dynamics model was utilized to calculate the total stormwater reduction as well as the amounts of nitrogen and phosphorous removed by each GI system over its life cycle under a certain city setting. Based upon these outcomes, the cost effectiveness (CE) in terms of stormwater reduction, nitrogen treatment, and phosphorous treatment of the GI systems was calculated. Land and tax costs were found to be a significant component of the EAC for GI systems with larger footprints in cities with higher property values, accounting for up to 78% in some cities. The rankings of the GI systems differ significantly when different types of cost effectiveness are under consideration. The tree filter performs the best when the CE is calculated based on stormwater reductions, while the subsurface gravel wetland performs the best considering nitrogen treatment, and either the subsurface gravel wetland or the sand filter performs the best considering phosphorous treatment. Our study suggests recommendations of GI systems need to be made based on local needs and issues to achieve the most cost-effective solution.

A dynamic life cycle assessment of green infrastructures.

As stormwater and its associated nutrients continue to impair our nation's waterways, green infrastructures (GIs) are increasingly applied in urban and suburban communities as a means to control combined sewer system overflows and stormwater related pollutants. Although GIs have been widely studied for their life cycle impacts and benefits, most of these studies adopt a static approach which prevents that information from being scaled or transferred to different spatial and temporal settings. To overcome this limitation, this research utilizes a dynamic life cycle assessment (LCA) approach to evaluate seven different GIs by integrating a traditional LCA with a system dynamics model which simulates the daily loadings and treatments of nutrients by the GIs across a 30-year life span. A base model was first developed, calibrated, and validated for seven GIs that are currently installed on the campus of the University of New Hampshire. The base model was then expanded to assess different scenarios in terms of geographic locations, land uses, GI design sizes, and climate changes. Our results show these aforementioned factors have significant influences on GIs' life cycle performances, with life cycle nitrogen reductions varying -100.90 to 512.09kgNeq. and life cycle phosphorous reductions varying from -23.77 to 63.43kg P eq. Furthermore, nutrient loading thresholds exist for certain GIs to offset nutrient emissions from their construction and maintenance activities. Accordingly, an optimal GI design size can be estimated for a given spatial and temporal setting. Such thresholds and optimal sizes are important to be identified to inform the decision-making and future planning of GIs.