学术专著
[1]三江平原水资源演变与适应性管理,章光新,王喜华等,中国水利水电出版社,2019, 副主编。
[2]中原城市群北部重点城镇区环境地质,刘长礼等,地质出版社,2020,主要编委。
代表性国际SCI期刊论文(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.
代表性国内中文核心期刊论文(Last updated: October 2021)
[1]王喜华, 卢文喜, 龚磊, 张蕾. 通榆县54年降水量变化特征研究[J]. 水电能源科学, 2011, 29 (06): 1-3+55.
[2]王喜华, 卢文喜, 初海波, 陈社明. 基于小波分析的ARMA-GARCH模型在降水预报中的应用[J]. 节水灌溉, 2011, (05): 52-56.
[3]卢文喜, 初海波, 王喜华, 龚磊. 基于因子分析的Hopfield神经网络在水质评价的应用[J]. 水土保持通报, 2012, 32 (01): 197-200+237.
[4]司昌亮, 卢文喜, 王喜华. 基于干旱指数法的星星哨灌区旱涝状况研究[J]. 节水灌溉, 2012, (06): 44-48.
[5]曲武, 卢文喜, 王喜华, 陈继红. Monte-carlo与NNBR模型结合在年降水量预测中的应用[J]. 干旱区研究, 2012, 29 (01): 55-58.
[6]卢文喜, 司昌亮, 程卫国, 王喜华, 张宇. 基于多元线性回归的水稻产量与各生理参数关系研究[J]. 节水灌溉, 2012, (12): 37-39+42.
[7]卢文喜, 曲武, 贾小丰, 王喜华. 吉林省西部人工草地优化灌溉制度的研究[J]. 节水灌溉, 2011, (01): 43-46.
[8]郑洪兵, 王喜华, 邓川, 徐克章, 刘武仁, 郑金玉, 赵洪祥, 李大勇, 杨光宇, 陆静梅. 吉林省大豆品种遗传改良过程中叶片性状的演变[J]. 中国油料作物学报, 2008, (02): 179-184.