學術專著
[1]三江平原水資源演變與適應性管理,章光新,王喜華等,中國水利水電出版社,2019, 副主編。
[2]中原城市群北部重點城鎮區環境地質,劉長禮等,地質出版社,2020,主要編委。
代表性國際SCI期刊論文(Last updated: August 2024)
[1]Jia, S., Wang, X*., Liu, Z., Mao, B.(2024). A new data-driven model to predict monthly runoff at watershed scale: insights from deep learning method applied in data-driven model. Water Resources Management. (Online)
[2]Wang, X., Ji,X., Xu, Y.J., Mao, B. Jia, S., Wang, C., Liu, Z., Lv, Q. (2024).Multi-machine learning methods to predict spatial variation characteristics of total nitrogen at watershed scale: Evidences from the largest watershed (Yangtze River Watershed), Asian. Science of the Total Environment. 175144.
[3]Liu, Z., Wang, X*., Wan, X. (2024).Evolution origin analysis and health risk assessment of groundwater environment in a typical mining area: Insights from water-rock interaction and anthropogenic activities. Environmental Research. 252.
[4]Mao, B., Wang, X*., Jia, S., Liu, Z., (2024). Multi-methods to investigate the baseflow: Insight from watershed scale spatiotemporal variety perspective. Ecological Indicators. 158, 111573.
[5]Wang, X., Jia, S., Xu, Y.J., Liu, Z. and Mao, B., (2024). Dual stable isotopes to rethink the watershed-scale spatiotemporal interaction between surface water and groundwater. Journal of Environmental Management. 351, 119728.
[6]Liu, Z., Wang, X*., Jia, S., Mao, B., (2023). Eutrophication causes analysis under the influencing of anthropogenic activities in China's largest fresh water lake (Poyang Lake): evidence from hydrogeochemistry and reverse simulation methods. Journal of Hydrology. 625. 130020.
[7]Jia, S., Wang, X*., Liu, Z., Mao, B. (2023). Comparison of multi-DLM approaches for predicting daily runoff: evidence from the data-driven model in one of China's largest wheat production-bases. Environmental science and pollution research international , 30, 93862–93876
[8]Wang, X., Xu, Y.J., Liu, Z., Jia, S., Mao, B., (2023). Spatiotemporal changes of nitrate retention at the interface between surface water and groundwater: insight from watershed scale in an elevated nitrate region. Hydrological Processes. e14856.
[9]Liu, Z., Wang, X*., Jia, S., Mao, B., (2023). Multi-methods to investigate spatiotemporal variations of nitrogen-nitrate and its risks to human health in China's largest fresh water lake (Poyang Lake). Science of the Total Environment. 160975.
[10]Wang, X. et al. (2022). Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China. Water, 14, 3979.
[11]Wang, X., Xu, Y. J., & Zhang, L. (2022). Watershed scale spatiotemporal nitrogen transport and source tracing using dual isotopes among surface water, sediments and groundwater in the Yiluo River Watershed, Middle of China. Science of The Total Environment, 155180.
[12]Wang, X., Liu, C., Hou, H., & Wang, X. (2021). Identifying watershed-scale spatiotemporal groundwater and surface water mixing function in the Yiluo River, Middle of China. Environmental Science and Pollution Research, 28(9), 11053-11065.
[13]Wang, X. (2018). The characteristic and influence factors of extinction depth of shallow groundwater on the high-latitude region: a case study on the Sanjiang Plain, northeast China. Environmental Science and Pollution Research, 25(7), 6695-6706.
[14]Wang, X., Lu, W., Jun Xu, Y., Zhang, G., Qu, W., & Cheng, W. (2016). The positive impacts of irrigation schedules on rice yield and water consumption: synergies in Jilin Province, Northeast China. International Journal of Agricultural Sustainability, 14(1), 1-12.
[15]Wang, X., Zhang, G., & Xu, Y. J. (2016). Groundwater and surface water availability via a joint simulation with a double control of water quantity and ecologically ideal shallow groundwater depth: a case study on the Sanjiang Plain, northeast China. Water, 8(9), 396.
[16]Wang, X., Zhang, G., Xu, Y. J., & Shan, X. (2015). Defining an ecologically ideal shallow groundwater depth for regional sustainable management: conceptual development and case study on the Sanjiang Plain, Northeast China. Water, 7(7), 3997-4025.
[17]Wang, X., Zhang, G., & Xu, Y. J. (2015). Impacts of the 2013 extreme flood in Northeast China on regional groundwater depth and quality. Water, 7(8), 4575-4592.
[18]Wang, X., Zhang, G., Xu, Y. J., & Sun, G. (2015). Identifying the regional-scale groundwater-surface water interaction on the Sanjiang Plain, Northeast China. Environmental Science and Pollution Research, 22(21), 16951-16961.
[19]Wang, X., Zhang, G., & Xu, Y. J. (2014). Spatiotemporal groundwater recharge estimation for the largest rice production region in Sanjiang Plain, Northeast China. Journal of Water Supply: Research and Technology—AQUA, 63(8), 630-641.
[20]Zhao, Y., Wang, X., Liu, C., Wang, S., Wang, X., Hou, H., ... & Li, H. (2019). Purification of harvested rainwater using slow sand filters with low-cost materials: Bacterial community structure and purifying effect. Science of the Total Environment, 674, 344-354.
[21]Lu, W., Cheng, W., Zhang, Z., Xin, X., & Wang, X. (2016). Differences in rice water consumption and yield under four irrigation schedules in central Jilin Province, China. Paddy and Water Environment, 14(4), 473-480.
[22]Liu, Y., Jiang, X., Zhang, G., Xu, Y. J., Wang, X., & Qi, P. (2016). Assessment of shallow groundwater recharge from extreme rainfalls in the Sanjiang plain, northeast China. Water, 8(10), 440.
代表性國內中文核心期刊論文(Last updated: October 2021)
[1]王喜華, 盧文喜, 龔磊, 張蕾. 通榆縣54年降水量變化特征研究[J]. 水電能源科學, 2011, 29 (06): 1-3+55.
[2]王喜華, 盧文喜, 初海波, 陳社明. 基于小波分析的ARMA-GARCH模型在降水預報中的應用[J]. 節水灌溉, 2011, (05): 52-56.
[3]盧文喜, 初海波, 王喜華, 龔磊. 基于因子分析的Hopfield神經網絡在水質評價的應用[J]. 水土保持通報, 2012, 32 (01): 197-200+237.
[4]司昌亮, 盧文喜, 王喜華. 基于干旱指數法的星星哨灌區旱澇狀況研究[J]. 節水灌溉, 2012, (06): 44-48.
[5]曲武, 盧文喜, 王喜華, 陳繼紅. Monte-carlo與NNBR模型結合在年降水量預測中的應用[J]. 干旱區研究, 2012, 29 (01): 55-58.
[6]盧文喜, 司昌亮, 程衛國, 王喜華, 張宇. 基于多元線性回歸的水稻產量與各生理參數關系研究[J]. 節水灌溉, 2012, (12): 37-39+42.
[7]盧文喜, 曲武, 賈小豐, 王喜華. 吉林省西部人工草地優化灌溉制度的研究[J]. 節水灌溉, 2011, (01): 43-46.
[8]鄭洪兵, 王喜華, 鄧川, 徐克章, 劉武仁, 鄭金玉, 趙洪祥, 李大勇, 楊光宇, 陸靜梅. 吉林省大豆品種遺傳改良過程中葉片性狀的演變[J]. 中國油料作物學報, 2008, (02): 179-184.