Z
Zhengyong Zhao
Researcher at University of New Brunswick
Publications - 13
Citations - 450
Zhengyong Zhao is an academic researcher from University of New Brunswick. The author has contributed to research in topics: Soil map & Digital elevation model. The author has an hindex of 8, co-authored 12 publications receiving 383 citations. Previous affiliations of Zhengyong Zhao include Guangxi University.
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Predict soil texture distributions using an artificial neural network model
TL;DR: In this article, an artificial neural network (ANN) model was developed to predict soil texture (sand, clay and silt contents) based on soil attributes obtained from existing coarse-resolution soil maps combined with hydrographic parameters derived from a digital elevation model.
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Assessing the impacts of flow diversion terraces on stream water and sediment yields at a watershed level using SWAT model
Qi Yang,Fan-Rui Meng,Zhengyong Zhao,Thien Lien Chow,Glenn Benoy,Herb W. Rees,Charles P.-A. Bourque +6 more
TL;DR: In this article, the authors used the Soil and Water Assessment Tool (SWAT) to assess the efficacy of FDT systems on maintaining surface water quality at the watershed level in the Black Brook Watershed (BBW) in northwestern New Brunswick.
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Using artificial neural network models to produce soil organic carbon content distribution maps across landscapes
TL;DR: In this article, an artificial neural network (ANN) model was developed to predict soil organic carbon (SOC) content based on parameters derived from digital elevation model (DEM) together with soil properties extracted from widely available coarse resolution soil maps (1:1,000,000 scale).
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Model prediction of soil drainage classes based on digital elevation model parameters and soil attributes from coarse resolution soil maps
TL;DR: In this article, the authors developed an artificial neural network (ANN) model for producing soil drainage classification maps at high resolution, which are used for crop production planning, forest management, and environmental assessment.
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Impacts of Accuracy and Resolution of Conventional and LiDAR Based DEMs on Parameters Used in Hydrologic Modeling
TL;DR: In this article, the effects of digital elevation model (DEM) accuracy and resolution on hydrologic parameters and modeling in an agriculture-dominated watershed were evaluated using an aerial photogrammetry method.