Applications
Wu, M.; Z. Zhang, L. Li. 2024. Assessing Nutrient and Carbon Responses to Agricultural Conservation Practices in Two Midwest Watersheds, Argonne National Laboratory Technical Report, ANL/ESIA-24/4. Jan. 31, 2024. Argonne National Laboratory, Lemont IL, U.S.A. https://www.osti.gov/biblio/2283967
Dangol, S., Zhang, X., Liang, X.Z. and Blanc-Betes, E., 2023. Advancing the SWAT model to simulate perennial bioenergy crops: A case study on switchgrass growth. Environmental Modelling & Software, p.105834. https://doi.org/10.1016/j.envsoft.2023.105834.
Liang, K., Qi, J., Zhang, X., Emmett, B., Johnson, J.M.F., Malone, R.W., Moglen, G.E., Venterea, R.T. 2023. Simulated nitrous oxide emissions from multiple agroecosystems in the U.S. Corn Belt using the modified SWAT-C model. Environmental Pollution, https://doi.org/10.1016/j.envpol.2023.122537.
Mukundan, R., Gelda, R., Moknatian, M., Zhang, X. and Steenhuis, T., 2023. Watershed Scale Modeling of Dissolved Organic Carbon Export from Variable Source Areas. Journal of Hydrology, p.130052. https://doi.org/10.1016/j.jhydrol.2023.130052.
Qiu, H., Zhang, X., Yang, A. et al. Watershed carbon yield derived from gauge observations and river network connectivity in the United States. Sci Data 10, 278 (2023). https://doi.org/10.1038/s41597-023-02162-7
Dangol S, Zhang X, Liang X-Z, Anderson M, Crow W, Lee S, Moglen GE, McCarty GW. Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets. Remote Sensing. 2023; 15(9):2417. https://doi.org/10.3390/rs15092417
Liang, K., Zhang, X., Liang, X.Z., Jin, V.L., Birru, G., Schmer, M.R., Robertson, G.P., McCarty, G.W. and Moglen, G.E., 2023. Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. Science of The Total Environment, p.162906.
Liang, K., Qi, J., Zhang, X. and Deng, J., 2022. Replicating measured site-scale soil organic carbon dynamics in the US Corn Belt using the SWAT-C model. Environmental Modelling & Software, 158, p.105553.
Qi, J., Lee, S., Du, X., Ficklin, D.L., Wang, Q., Myers, D., Singh, D., Moglen, G.E., McCarty, G.W., Zhou, Y. and Zhang, X., 2021. Coupling terrestrial and aquatic thermal processes for improving stream temperature modeling at the watershed scale. Journal of Hydrology, 603, p.126983.
Wang, Q., Qi, J., Qiu, H., Li, J., Cole, J., Waldhoff, S. and Zhang, X., 2021. Pronounced increases in future soil erosion and sediment deposition as influenced by Freeze–Thaw Cycles in the Upper Mississippi River Basin. Environmental Science & Technology, 55(14), pp.9905-9915.
Wang, Q., Qi, J., Wu, H., Zeng, Y., Shui, W., Zeng, J. and Zhang, X., 2020. Freeze-Thaw cycle representation alters response of watershed hydrology to future climate change. Catena, 195, p.104767.
Qi, J., Zhang, X., Lee, S., Wu, Y., Moglen, G.E. and McCarty, G.W., 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(1), pp.1-14.
Wang, Q., Qi, J., Li, J., Cole, J., Waldhoff, S.T. and Zhang, X., 2020. Nitrate loading projection is sensitive to freeze-thaw cycle representation. Water Research, 186, p.116355.
Qi, J., Zhang, X., Yang, Q., Srinivasan, R., Arnold, J.G., Li, J., Waldholf, S.T. and Cole, J., 2020. SWAT ungauged: Water quality modeling in the Upper Mississippi River Basin. Journal of hydrology, 584, p.124601.
Qi, J., Du, X., Zhang, X., Lee, S., Wu, Y., Deng, J., Moglen, G.E., Sadeghi, A.M. and McCarty, G.W., 2020. Modeling riverine dissolved and particulate organic carbon fluxes from two small watersheds in the northeastern United States. Environmental Modelling & Software, 124, p.104601.
Yang, Q., Zhang, X., Almendinger, J.E., Huang, M., Chen, X., Leng, G., Zhou, Y., Zhao, K., Asrar, G.R. and Li, X., 2019. Climate change will pose challenges to water quality management in the st. Croix River basin. Environmental Pollution, 251, pp.302-311.
Du, X., Zhang, X., Mukundan, R., Hoang, L. and Owens, E.M., 2019. Integrating terrestrial and aquatic processes toward watershed scale modeling of dissolved organic carbon fluxes. Environmental Pollution, 249, pp.125-135.
Qi, J., Zhang, X., Lee, S., Moglen, G.E., Sadeghi, A.M. and McCarty, G.W., 2019. A coupled surface water storage and subsurface water dynamics model in SWAT for characterizing hydroperiod of geographically isolated wetlands. Advances in Water Resources, 131, p.103380.
Qi, J., Zhang, X. and Cosh, M.H., 2019. Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods in SWAT. Ecological Engineering, 129, pp.134-143.
Qi, J., Zhang, X. and Wang, Q., 2019. Improving hydrological simulation in the Upper Mississippi River Basin through enhanced freeze-thaw cycle representation. Journal of Hydrology, 571, pp.605-618.
Yang, Q., Zhang, X., Almendinger, J.E., Huang, M., Leng, G., Zhou, Y., Zhao, K., Asrar, G.R., Li, X. and Qiu, J., 2019. Improving the SWAT forest module for enhancing water resource projections: A case study in the St. Croix River basin. Hydrological Processes, 33(5), pp.864-875.
Qi, J., Zhang, X., McCarty, G.W., Sadeghi, A.M., Cosh, M.H., Zeng, X., Gao, F., Daughtry, C.S., Huang, C., Lang, M.W. and Arnold, J.G., 2018. Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool. Environmental Modelling & Software, 109, pp.329-341.
Yang, Q., Almendinger, J.E., Zhang, X., Huang, M., Chen, X., Leng, G., Zhou, Y., Zhao, K., Asrar, G.R., Srinivasan, R. and Li, X., 2018. Enhancing SWAT simulation of forest ecosystems for water resource assessment: A case study in the St. Croix River basin. Ecological Engineering, 120, pp.422-431.
Zhang, X., 2018. Simulating eroded soil organic carbon with the SWAT-C model. Environmental modelling & software, 102, pp.39-48.
Yang, Q., Zhang, X., Abraha, M., Del Grosso, S., Robertson, G.P. and Chen, J., 2017. Enhancing the soil and water assessment tool model for simulating N2O emissions of three agricultural systems. Ecosystem Health and Sustainability, 3(2), p.e01259.
Yang, Q. and Zhang, X., 2016. Improving SWAT for simulating water and carbon fluxes of forest ecosystems. Science of the Total Environment, 569, pp.1478-1488.
Zhang, X., Izaurralde, R.C., Manowitz, D.H., Sahajpal, R., West, T.O., Thomson, A.M., Xu, M., Zhao, K., LeDuc, S.D. and Williams, J.R., 2015. Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data. Environmental Modelling & Software, 63, pp.199-216.
Zhang, X., Izaurralde, R.C., Arnold, J.G., Williams, J.R. and Srinivasan, R., 2013. Modifying the soil and water assessment tool to simulate cropland carbon flux: model development and initial evaluation. Science of the Total Environment, 463, pp.810-822.
Zhang, X., Beeson, P., Link, R., Manowitz, D., Izaurralde, R.C., Sadeghi, A., Thomson, A.M., Sahajpal, R., Srinivasan, R. and Arnold, J.G., 2013. Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. Environmental modelling & software, 46, pp.208-218.