Xuesong Zhang, Ph.D.
Affiliations: | 2008 | Texas A & M University, College Station, TX, United States |
Area:
HydrologyGoogle:
"Xuesong Zhang"Parents
Sign in to add mentor| Raghavan Srinivasan | grad student | 2008 | Texas A & M | |
| (Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model.) | ||||
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Publications
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| Liang K, Zhang X, Liang XZ, et al. (2023) Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. The Science of the Total Environment. 879: 162906 |
| Qi J, Zhang X, Yang Q, et al. (2020) SWAT ungauged: Water quality modeling in the Upper Mississippi River Basin. Journal of Hydrology. 584 |
| Wang Q, Qi J, Li J, et al. (2020) Nitrate loading projection is sensitive to freeze-thaw cycle representation. Water Research. 186: 116355 |
| Kim S, Zhang X, Reddy AD, et al. (2020) Carbon-Negative Biofuel Production. Environmental Science & Technology |
| Qi J, Zhang X, Lee S, et al. (2020) Modeling sediment diagenesis processes on riverbed to better quantify aquatic carbon fluxes and stocks in a small watershed of the Mid-Atlantic region. Carbon Balance and Management. 15: 13 |
| Romeiko XX, Lee EK, Sorunmu Y, et al. (2020) Spatially and Temporally Explicit Life Cycle Environmental Impacts of Soybean Production in the U.S. Midwest. Environmental Science & Technology |
| Sharara MA, Sahoo K, Reddy AD, et al. (2020) Sustainable feedstock for bioethanol production: Impact of spatial resolution on the design of a sustainable biomass supply-chain. Bioresource Technology. 302: 122896 |
| Lee EK, Zhang WJ, Zhang X, et al. (2020) Projecting life-cycle environmental impacts of corn production in the U.S. Midwest under future climate scenarios using a machine learning approach. The Science of the Total Environment. 714: 136697 |
| Fang Y, Chen X, velez JG, et al. (2020) A multirate mass transfer model to represent the interaction of multicomponent biogeochemical processes between surface water and hyporheic zones (SWAT-MRMT-R 1.0) Geoscientific Model Development Discussions. 13: 1-28 |
| Romeiko XX, Guo Z, Pang Y, et al. (2020) Comparing Machine Learning Approaches for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts from Corn Production Sustainability. 12: 1481 |