Paper Publications

• [61]Qu, Y , Qian, X , Song, H , Xing, Y , Li, Z , & Tan,J Soil moisture investigation utilizing machine learning approach based experimental data and Landsat5-TM images: A case study in the Mega City Beijing Water, 10(4), 423,2018.
• [62]Wang, R , Song, H , Wang, J , & Wang, Y Permeability and diffusion coefficient prediction of fractal porous media with nanoscale pores for gas transport Journal of Porous Media, 21(12), 2018.
• [63]Xuyang Guo, Hongqing Song, Kan Wu, John Killough, Pressure characteristics and performance of multi-stage fractured horizontal well in shale gas reservoirs with coupled flow and geomechanics, Journal of Petroleum Science and Engineering,163, 1-15,.
• [64]Xuyang Guo, Hongqing Song, John Killough, Li Du,Pengguang Sun, Numerical investigation of the efficiency of emission reduction and heat extraction in a sedimentary geothermal reservoir: a case study of the Daming geothermal field in China, Environmental Science and Pollution Research，25(5), 4690-4706, 2018.
• [65]Chenji Wei, Liangang Wang, Baozhu Li, Lihui Xiong, ShuangshuangLiu, Jie Zheng, Suming Hu and Hongqing Song, A Study of NonlinearElasticity Effects on Permeability of Stress Sensitive Shale Rocks Using anImproved Coupled Flow and Geomechanics Model: A Case Study of the LongmaxiShale in China, Energies,11(2), 329, 2018.
• [66]Tan, J ; Song,H ; Zhang, H ; Zhu, Q ; Xing, Y ; Zhang, J NumericalInvestigation on Infiltration and Runoff in Unsaturated Soils with UnsteadyRainfall Intensity Water,10, 914, 2018.
• [67]HongqingSong Engineering Fluid Mechanics, Springer，ISBN 978-981-13-0172-8, 2018.
• [68]孙彭光,宋洪庆,祁久红,王九龙,许振华,袁明叶 新近系馆陶组疏松砂岩地热井防砂技术对策研究[J] 科学技术创新,2019(06):12-14.
• [69]孙召东,宋洪庆*,张海龙,祝庆辉,邢奕,李再兴,宛勇 海绵城市透水砖铺装雨水入渗模型及产流分析[J] 环境工程,2019,37(07):39-46.
• [70]曲悦,钱旭,宋洪庆*,何杰,李剑辉,修昊 基于机器学习的北京市PM2 5浓度预测模型及模拟分析[J] 工程科学学报,2019,41(03):401-407.