David Sample

Prof. David Sample

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2014 in Water
Verified
Journal Article
Open access
PDF file
JLJia Liu
Jia Liu
DSDavid Sample
David Sample
CBCameron Bell
Cameron Bell
YGYuntao Guan
Yuntao Guan
The continued development of urban areas in recent decades has caused multiple issues affecting the sustainability of urban drainage systems. The increase of impervious surface areas in urban regions alters watershed hydrology and water quality. Typical impacts to downstream hydrologic regimes include higher peak flows and runoff volumes, shorter lag times, and reduced infiltration and base flow. Urban runoff increases the transport of pollutants and nutrients and thus degrades water bodies downstream from urban areas. One of the most frequently used practices to mitigate these impacts is bioretention. Despite its widespread use, research on bioretention systems remains active, particularly in terms of mix design and nitrogen treatment. Recent research focusing on bioretention is reviewed herein. The use of mesocosms provides the ability to isolate particular treatment processes and replicate variability. Computational models have been adapted and applied to simulate bioretention, offering potential improvements to their operation, maintenance, and design. Maintenance practices are important for sustained operation and have also been reviewed. Predicting maintenance is essential to assessing lifecycle costs. Within these research areas, gaps are explored, and recommendations made for future work.

1 July 2014 in Journal of Cleaner Production
Verified
Journal Article
Closed access
DSDavid Sample
David Sample
JLJia Liu
Jia Liu

1 May 2014 in Journal of Environmental Management
Verified
Journal Article
Closed access
CWChih-Yu Wang
Chih-Yu Wang
DSDavid Sample
David Sample

27 June 2017 in Water
Verified
Journal Article
Open access
PDF file
NANasrin Alamdari
Nasrin Alamdari
DSDavid Sample
David Sample
PSPeter Steinberg
Peter Steinberg
ARAndrew C. Ross
Andrew C. Ross
ZEZach Easton
Zach Easton
Assessing climate change (CC) impacts on urban watersheds is difficult due to differences in model spatial and temporal scales, making prediction of hydrologic restoration a challenge. A methodology was developed using an autocalibration tool to calibrate a previously developed Storm Water Management Model (SWMM) of Difficult Run in Fairfax, Virginia. Calibration was assisted by use of multi-objective optimization. Results showed a good agreement between simulated and observed data. Simulations of CC for the 2041–2068 period were developed using dynamically downscaled North American Regional CC Assessment Program models. Washoff loads were used to simulate water quality, and a method was developed to estimate treatment performed in stormwater control measures (SCMs) to assess water quality impacts from CC. CC simulations indicated that annual runoff volume would increase by 6.5%, while total suspended solids, total nitrogen, and total phosphorus would increase by 7.6%, 7.1%, and 8.1%, respectively. The simulations also indicated that within season variability would increase by a larger percentage. Treatment practices (e.g., bioswale) that were intended to mitigate the negative effects of urban development will need to deal with additional runoff volumes and nutrient loads from CC to achieve the required water quality goals.


1 November 2014 in Science of The Total Environment
Verified
Journal Article
Closed access
CWChih-Yu Wang
Chih-Yu Wang
DSDavid Sample
David Sample
CBCameron Bell
Cameron Bell