Author Yang, Huichen

• 2019 | Journal Article | 
  ​ ​A Numerical Study on Travel Time Based Hydraulic Tomography Using the SIRT Algorithm with Cimmino Iteration​
  Qiu, P.; Hu, R.; Hu, L.; Liu, Q.; Xing, Y.; Yang, H. & Qi, J. et al.​ (2019) 
  Water, 11(5) art. 909​.​ DOI: https://doi.org/10.3390/w11050909 
  ​Details  DOI 

• 2020 | Journal Article | 
  ​ ​Application of Wavelet De-Noising for Travel-Time Based Hydraulic Tomography​
  Yang, H.; Hu, R.; Qiu, P.; Liu, Q.; Xing, Y.; Tao, R. & Ptak, T. ​ (2020) 
  Water, 12(6) pp. 1533​.​ DOI: https://doi.org/10.3390/w12061533 
  ​Details  DOI 

• 2020 | Journal Article | 
  ​ ​Metallic Iron for Environmental Remediation: Starting an Overdue Progress in Knowledge​
  Hu, R.; Yang, H.; Tao, R.; Cui, X.; Xiao, M.; Amoah, B. K. & Cao, V. et al.​ (2020) 
  Water, 12(3) pp. 641​.​ DOI: https://doi.org/10.3390/w12030641 
  ​Details  DOI 

• 2020 | Journal Article | 
  ​ ​Tracing the Scientific History of Fe0-Based Environmental Remediation Prior to the Advent of Permeable Reactive Barriers​
  Cao, V.; Yang, H.; Ndé-Tchoupé, A. I.; Hu, R.; Gwenzi, W. & Noubactep, C. ​ (2020) 
  Processes, 8(8) pp. 977​.​ DOI: https://doi.org/10.3390/pr8080977 
  ​Details  DOI 

• 2020 | Journal Article | 
  ​ ​Designing the Next Generation of Fe0-Based Filters for Decentralized Safe Drinking Water Treatment: A Conceptual Framework​
  Yang, H.; Hu, R.; Ndé-Tchoupé, A. I.; Gwenzi, W.; Ruppert, H.   & Noubactep, C. ​ (2020) 
  Processes, 8(6) pp. 745​.​ DOI: https://doi.org/10.3390/pr8060745 
  ​Details  DOI 

• 2021 | Journal Article
  ​ ​Predicting methane solubility in water and seawater by machine learning algorithms: Application to methane transport modeling​
  Taherdangkoo, R.; Liu, Q.; Xing, Y.; Yang, H.; Cao, V.; Sauter, M. & Butscher, C.​ (2021) 
  Journal of Contaminant Hydrology, 242 art. S0169772221000838​.​ DOI: https://doi.org/10.1016/j.jconhyd.2021.103844 
  ​Details  DOI 

• 2021 | Journal Article
  ​ ​Gaussian process regression to determine water content of methane: Application to methane transport modeling​
  Taherdangkoo, R.; Yang, H.; Akbariforouz, M.; Sun, Y.; Liu, Q. & Butscher, C.​ (2021) 
  Journal of Contaminant Hydrology, 243 art. S0169772221001492​.​ DOI: https://doi.org/10.1016/j.jconhyd.2021.103910 
  ​Details  DOI 

• 2021 | Journal Article | Research Paper | 
  ​ ​Modeling porosity loss in Fe0-based permeable reactive barriers with Faraday’s law​
  Yang, H.; Hu, R.; Ruppert, H. & Noubactep, C.​ (2021) 
  Scientific Reports, 11(1) art. 16998​.​ DOI: https://doi.org/10.1038/s41598-021-96599-8 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Investigation of hydraulic properties in fractured aquifers using cross-well travel-time based thermal tracer tomography: Numerical and field experiments​
  Liu, Q.; Hu, R.; Hu, L.; Xing, Y.; Qiu, P.; Yang, H. & Fischer, S. et al.​ (2022) 
  Journal of Hydrology, 609 art. S0022169422003262​.​ DOI: https://doi.org/10.1016/j.jhydrol.2022.127751 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​A general numerical model for water level response to harmonic disturbances in aquifers considering wellbore effects​
  Xing, Y.; Liu, Q.; Hu, R.; Gu, H.; Taherdangkoo, R.; Yang, H. & Ptak, T.​ (2022) 
  Journal of Hydrology, 609 art. S0022169422002530​.​ DOI: https://doi.org/10.1016/j.jhydrol.2022.127678 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Numerical case studies on long-term effectiveness of metallic iron based permeable reactive barriers: Importance of porosity heterogeneity of the barrier​
  Yang, H.; Liu, Q.; Hu, R.; Ptak, T. ; Taherdangkoo, R. ; Liu, Y. & Noubactep, C. ​ (2022) 
  Journal of Hydrology, 612 art. 128148​.​ DOI: https://doi.org/10.1016/j.jhydrol.2022.128148 
  ​Details  DOI 

• 2022 | Journal Article | 
  ​ ​The Suitability of Hybrid Fe0/Aggregate Filtration Systems for Water Treatment​
  Tao, R.; Yang, H.; Cui, X.; Xiao, M.; Gatcha-Bandjun, N.; Kenmogne-Tchidjo, J. F. & Lufingo, M. et al.​ (2022) 
  Water, 14(2).​ DOI: https://doi.org/10.3390/w14020260 
  ​Details  DOI 

• 2022 | Journal Article | Research Paper | 
  ​ ​Realizing the potential of metallic iron for the mitigation of toxics: flee or adapt?​
  Konadu-Amoah, B.; Hu, R.; Cao, V.; Tao, R.; Yang, H.; Ndé-Tchoupé, A. I. & Gwenzi, W. et al.​ (2022) 
  Applied Water Science, 12(9) art. 217​.​ DOI: https://doi.org/10.1007/s13201-022-01738-9 
  ​Details  DOI 

• 2022 | Journal Article | 
  ​ ​Experimental Data on Solubility of the Two Calcium Sulfates Gypsum and Anhydrite in Aqueous Solutions​
  Taherdangkoo, R. ; Tian, M.; Sadighi, A.; Meng, T.; Yang, H. & Butscher, C.​ (2022) 
  Data, 7(10).​ DOI: https://doi.org/10.3390/data7100140 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​The use of feed-forward and cascade-forward neural networks to determine swelling potential of clayey soils​
  Narmandakh, D.; Butscher, C.; Doulati Ardejani, F.; Yang, H.; Nagel, T. & Taherdangkoo, R.​ (2023) 
  Computers and Geotechnics, 157 art. 105319​.​ DOI: https://doi.org/10.1016/j.compgeo.2023.105319 
  ​Details  DOI 

• 2023 | Journal Article | 
  ​ ​Metallic iron for environmental remediation: the still overlooked iron chemistry​
  Xiao, M.; Hu, R.; Tao, R.; Cui, X.; Konadu-Amoah, B.; Yang, H. & Ndé-Tchoupé, A. I. et al.​ (2023) 
  Applied Water Science, 13(11) art. 222​.​ DOI: https://doi.org/10.1007/s13201-023-02028-8 
  ​Details  DOI 

Researcher

Sort

Items per Page