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Dive into the research topics where Craig J. Allan is active.

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Featured researches published by Craig J. Allan.


Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering | 2005

Suspended sediment removal by vegetative filter strip treating highway runoff.

Jun Han; Jy S. Wu; Craig J. Allan

Structural best management practices (BMPs) are often used to mitigate the impact of storm water runoff on receiving waters. Vegetative filter strips (VFS) are an example of a structural BMP that has been used to treat storm water and highway runoff. Physical factors affecting the performance of VFS include pollutant characteristics, vegetation composition and density, soil properties, and the physical dimensions of the filter strip. In this study, field-suspended sediment data were collected from an experimental VFS treating highway runoff in eastern North Carolina. Field data were used to test the design concepts of the VFS treatment train and to validate a simulation model for evaluating the impact of these physical factors on sediment removal as a function of filter strip length. It was concluded that the experimental filter strip was effective in removing more than 85% of the incoming total suspended sediment (TSS). Simulation results support field observations that a 10-m or longer filter strip can retain most of the medium and large particles (> 8 μ m) transported in runoff. Simulations also indicate infiltration loss is largely responsible for the retention of small-size sediment particles (< 8 μ m). Saturated hydraulic conductivity and initial water contents have little effects on TSS removal. The condition of vegetative coverage, in particular vegetation density, is another factor affecting the performance of filter strip.


Archive | 2018

Parallel Generation of Very High Resolution Digital Elevation Models: High-Performance Computing for Big Spatial Data Analysis

Minrui Zheng; Wenwu Tang; Yu Lan; Xiang Zhao; Meijuan Jia; Craig J. Allan; Carl C. Trettin

Very high resolution digital elevation models (DEM) provide the opportunity to represent the micro-level detail of topographic surfaces, thus increasing the accuracy of the applications that are depending on the topographic data. The analyses of micro-level topographic surfaces are particularly important for a series of geospatially related engineering applications. However, the generation of very high resolution DEM using, for example, LiDAR data is often extremely computationally demanding because of the large volume of data involved. Thus, we use a high-performance and parallel computing approach to resolve this big data-related computational challenge facing the generation of very high resolution DEMs from LiDAR data. This parallel computing approach allows us to generate a fine-resolution DEM from LiDAR data efficiently. We applied this parallel computing approach to derive the DEM in our study area, a bottomland hardwood wetland located in the USDA Forest Service Santee Experimental Forest. Our study demonstrated the feasibility and acceleration performance of the parallel interpolation approach for tackling the big data challenge associated with the generation of very high resolution DEM.


The Journal of Water Management Modeling | 2013

Hydrologic Connectivity for Highway Runoff Analysis at Watershed Scale

Zhaochun Meng; Jy S. Wu; Craig J. Allan

State transportation agencies are a potential stakeholder in the total maximum daily load process and, in some cases, NPDES stormwater permits could be issued …


Journal of The American Water Resources Association | 2010

Hot Spots and Hot Moments in Riparian Zones: Potential for Improved Water Quality Management

Philippe Vidon; Craig J. Allan; Douglas A. Burns; Tim P. Duval; Noel P. Gurwick; Shreeram Inamdar; Richard Lowrance; Judy Okay; Stephen D. Sebestyen


Journal of Environmental Engineering | 1998

CHARACTERIZATION AND POLLUTANT LOADING ESTIMATION FOR HIGHWAY RUNOFF

Jy S. Wu; Craig J. Allan; William L. Saunders; Jack B. Evett


Journal of The American Water Resources Association | 2010

The role of riparian vegetation in protecting and improving chemical water quality in streams.

Michael G. Dosskey; Philippe Vidon; Noel P. Gurwick; Craig J. Allan; Tim P. Duval; Richard Lowrance


Forest Ecology and Management | 2006

Soil N cycling in harvested and pristine Boreal forests and peatlands

Cherie J. Westbrook; Kevin J. Devito; Craig J. Allan


Hydrological Processes | 2008

Frontiers in riparian zone research in the 21st century

Craig J. Allan; P. Vidon; R. Lowrance


Journal of The American Water Resources Association | 2014

Assessing the Hydrologic and Water Quality Benefits of a Network of Stormwater Control Measures in a SE U.S. Piedmont Watershed

Vijaya Gagrani; John A. Diemer; Jarrod J. Karl; Craig J. Allan


Journal of Environmental Management | 2001

Assessment of potential groundwater contamination sources in a wellhead protection area.

W.A. Harman; Craig J. Allan; Randall D. Forsythe

Collaboration


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Jy S. Wu

University of North Carolina at Charlotte

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Vijaya Gagrani

University of North Carolina at Charlotte

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Carl C. Trettin

United States Forest Service

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John A. Diemer

University of North Carolina at Charlotte

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Noel P. Gurwick

Carnegie Institution for Science

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Richard Lowrance

Agricultural Research Service

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David S. Vinson

University of North Carolina at Charlotte

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Devendra M. Amatya

North Carolina State University

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