Predicting Runoff and Associated Nitrogen Losses from Turfgrass using the Root Zone Water Quality Model (RZWQM)

Schwartz, Liliana; Shuman, L. M.

doi:10.2134/jeq2005.0350

Cited by 9 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The greater runoff coefficients were generally associated with more intense high volume rainfall events. The monthly runoff coefficients measured in this study were in the range with those reported from other turf studies (Smith and Bridges, 1996;Linde and Watschke, 1997;Shuman, 2002;Easton and Petrovic, 2005;Schwartz and Shuman, 2005).…”

Section: Results and Discussion Hydrologysupporting

confidence: 87%

Nutrient Load Generated by Storm Event Runoff from a Golf Course Watershed

et al. 2007

View full text Add to dashboard Cite

Turf, including home lawns, roadsides, golf courses, parks, etc., is often the most intensively managed land use in the urban landscape. Substantial inputs of fertilizers and water to maintain turf systems have led to a perception that turf systems are a major contributor to nonpoint source water pollution. The primary objective of this study was to quantify nutrient (NO(3)-N, NH(4)-N, and PO(4)-P) transport in storm-generated surface runoff from a golf course. Storm event samples were collected for 5 yr (1 Apr. 1998-31 Mar. 2003) from the Morris Williams Municipal Golf Course in Austin, TX. Inflow and outflow samples were collected from a stream that transected the golf course. One hundred fifteen runoff-producing precipitation events were measured. Median NO(3)-N and PO(4)-P concentrations at the outflow location were significantly (p < 0.05) greater than like concentrations measured at the inflow location; however, median outflow NH(4)-N concentration was significantly less than the median inflow concentration. Storm water runoff transported 1.2 kg NO(3)-N ha(-1) yr(-1), 0.23 kg NH(4)-N ha(-1) yr(-1), and 0.51 kg PO(4)-P ha(-1) yr(-1) from the course. These amounts represent approximately 3.3% of applied N and 6.2% of applied P over the contributing area for the same period. NO(3)-N transport in storm water runoff from this course does not pose a substantial environmental risk; however, the median PO(4)-P concentration exiting the course exceeded the USEPA recommendation of 0.1 mg L(-1) for streams not discharging into lakes. The PO(4)-P load measured in this study was comparable to soluble P rates measured from agricultural lands. The findings of this study emphasize the need to balance golf course fertility management with environmental risks, especially with respect to phosphorus.

show abstract

Section: Results and Discussion Hydrologysupporting

confidence: 87%

Nutrient Load Generated by Storm Event Runoff from a Golf Course Watershed

et al. 2007

View full text Add to dashboard Cite

show abstract

“…For the most part, chemical transport modeling of turf has been performed using existing agricultural or watershed models such as GLEAMS (Smith and Tillotson, 1993; Ma et al, 1999a), EPIC (King and Balogh, 1997; King and Balogh, 1999), PRZM (Cohen et al, 1993; Ma et al, 1999a; Durborow et al, 2000), SWAT (King and Balogh, 2001), Opus (Ma et al, 1999b), EXPRES (Roy et al, 2001), and RZWQM (Schwartz and Shuman 2005). To our knowledge the only model developed specifically for turf grass is TurfPQ (Haith, 2001; Haith, 2002).…”

Section: Pesticide Application Rate and Select Propertiesmentioning

confidence: 99%

Pesticide Transport with Runoff from Turf: Observations Compared with TurfPQ Model Simulations

et al. 2009

View full text Add to dashboard Cite

Pesticides applied to turf grass have been detected in surface waters raising concerns of their effect on water quality and interest in their source, hydrological transport and use of models to predict transport. TurfPQ, a pesticide runoff model for turf grass, predicts pesticide transport but has not been rigorously validated for larger storms. The objective of this study was to determine TurfPQ's ability to accurately predict the transport of pesticides with runoff following more intense precipitation. The study was conducted with creeping bentgrass [Agrostis palustris Huds.] turf managed as a golf course fairway. A pesticide mixture containing dicamba, 2,4-D, MCPP, flutolanil, and chlorpyrifos was applied to six adjacent 24.4 by 6.1 m plots. Controlled rainfall simulations were conducted using a rainfall simulator designed to deliver water droplets similar to natural rain. Runoff flow rates and volume were measured and water samples were collected for analysis of pesticide concentrations. Six simulations yielded 13 events with which to test TurfPQ. Measured mean percentage of applied pesticide recovered in the runoff for dicamba, 2,4-D, MCPP, flutolanil, and chlorpyrifos was 24.6, 20.7, 14.9, 5.9, and 0.8%, respectively. The predicted mean values produced by TurfPQ were 13.7, 15.6, 15.5, 2.5, and 0.2%, respectively. The model produced correlations of r=0.56 and 0.64 for curve number hydrology and measured hydrology, respectively. Comparisons of the model estimates with our field observations indicate that TurfPQ under predicted pesticide runoff during 69.5+/-11.4 mm, 1.9+/-0.2 h, simulated storms.

show abstract

“…However, changes in rainfall intensity, timing, and/or duration can alter nutrient and sediment loading. Schwartz and Shuman (2005) reported nutrient losses to be greatest for the first runoff event after application, especially as rainfall intensity and duration increased. In the current experiments, P was not applied in initial or subsequent fertilizations; however increasing bermudagrass groundcover through higher planting rates filtered more sediment and thus has a greater potential to reduce offsite soil‐bound P transport.…”

Section: Discussionmentioning

confidence: 99%