مقالات

تعداد بازدید:۶۶۳

 لیست مقالات به ترتیب صعودی و شروع از سال 2019 می باشد.

  1. Andaryani, S., Nourani, V., Trolle, D., Dehghani, M., & Asl, A. M. (2019). Assessment of land use and climate change effects on land subsidence using a hydrological model and radar technique. Journal of Hydrology, 578, 124070.
  2. Sharghi, E., Nourani, V., Behfar, N., & Tayfur, G. (2019). Data pre-post processing methods in AI-based modeling of seepage through earthen dams. Measurement, 147, 106820.
  3. Nourani, V., Paknezhad, N. J., Sharghi, E., & Khosravi, A. (2019). Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters. Journal of Hydrology, 579, 124226.
  4. Nourani, V., Gökçekuş, H., & Umar, I. K. (2020). Artificial intelligence based ensemble model for prediction of vehicular traffic noise. Environmental research, 180, 108852.
  5. Seyedzadeh, A., Maroufpoor, S., Maroufpoor, E., Shiri, J., Bozorg-Haddad, O., & Gavazi, F. (2020). Artificial intelligence approach to estimate discharge of drip tape irrigation based on temperature and pressure. Agricultural Water Management, 228, 105905.
  6. Nourani, V., Behfar, N., Uzelaltinbulat, S., & Sadikoglu, F. (2020). Spatiotemporal precipitation modeling by artificial intelligence-based ensemble approach. Environmental Earth Sciences, 79(1), 6.
  7. Nourani, V., Gökçekuş, H., Umar, I. K., & Najafi, H. (2020). An emotional artificial neural network for prediction of vehicular traffic noise. Science of The Total Environment, 707, 136134.
  8. Ahmadi, A., Aghakhani Afshar, A., Nourani, V., Pourreza-Bilondi, M., & Besalatpour, A. A. (2019). Assessment of MC&MCMC uncertainty analysis frameworks on SWAT model by focusing on future runoff prediction in a mountainous watershed via CMIP5 models. Journal of Water and Climate Change.
  9. Roushangar, K., & Shahnazi, S. (2020). Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression. Journal of Hydroinformatics, 22(2), 249-262.
  10. Roushangar, K., Khowr, A. F., & Alizadeh, F. (2020). Investigating impact of converging training walls of the ogee spillways on hydraulic performance. Paddy and Water Environment, 1-12
  11.  Roushangar, K., Matin, G. N., Ghasempour, R., & Saghebian, S. M. (2019). Evaluation of the effective parameters on energy losses of rectangular and circular culverts via kernel-based approaches. Journal of Hydroinformatics, 21(6), 1014-1029.
  12. Roushangar, K., Ghasempour, R., & Biukaghazadeh, S. (2020). Evaluation of the parameters affecting the roughness coefficient of sewer pipes with rigid and loose boundary conditions via kernel based approaches. International Journal of Sediment Research, 35(2), 171-179.
  13. Roushangar, K., & Shahnazi, S. (2020). Determination of influential parameters for prediction of total sediment loads in mountain rivers using kernel-based approaches. Journal of Mountain Science, 17(2), 480-491.
  14. Nourani, V., Elkiran, G., & Abdullahi, J. (2020). Multi-step ahead modeling of reference evapotranspiration using a multi-model approach. Journal of Hydrology, 581, 124434.
  15. Samaei, M., Ranjbarnia, M., Nourani, V., & Naghadehi, M. Z. (2020). Performance prediction of tunnel boring machine through developing high accuracy equations: A case study in adverse geological condition. Measurement, 152, 107244.
  16. Abba, S. I., Nourani, V., & Elkiran, G. (2019). Multi-parametric modeling of water treatment plant using AI-based non-linear ensemble. Journal of Water Supply: Research and Technology-Aqua, 68(7), 547-561.
  17. Dąbrowska, D., Sołtysiak, M., Biniecka, P., Michalska, J., Wasilkowski, D., Nowak, A., & Nourani, V. (2019). Application of hydrogeological and biological research for the lysimeter experiment performance under simulated municipal landfill condition. Journal of Material Cycles and Waste Management, 21(6), 1477-1487.
  18.  Nourani, V., Rouzegari, N., & Molajou, A. (2020). An Integrated Simulation-Optimization Framework to Optimize the Reservoir Operation Adapted to Climate Change Scenarios. Journal of Hydrology, 125018.
  19. Nourani, V., Farshbaf, A., & Adarsh, S. (2020). Spatial downscaling of radar-derived rainfall field by two-dimensional wavelet transform. Hydrology Research, 51(3), 456-469.
  20. Nourani, V., Sayyah-Fard, M., Alami, M. T., & Sharghi, E. (2020). Data pre-processing effect on ANN-based prediction intervals construction of the evaporation process at different climate regions in Iran. Journal of Hydrology, 125078.
  21. Adarsh, S., Nourani, V., Archana, D. S., & Dharan, D. S. (2020). Multifractal description of daily rainfall fields over India. Journal of Hydrology, 124913.
  22. Roushangar, K., Saghebian, S. M., Kirca, V. O., & Ghasempour, R. (2020). Prediction of form roughness coefficient in alluvial channels using efficient hybrid approaches. Soft Computing, 1-13.
  23. Ahmadi, H., & Kouhi, A. (2020). Stress concentration factors of multi-planar tubular XT-joints subjected to out-of-plane bending moments. Applied Ocean Research, 96, 102058.
  24. Ahmadi, H., & Zavvar, E. (2020). Degree of bending (DoB) in offshore tubular KT-joints under the axial, in-plane bending (IPB), and out-of-plane bending (OPB) loads. Applied Ocean Research, 95, 102015.
  25. Hassanzadeh, Y., Marofi, S., & Vahabian, M. (2020). Three-Dimensional Modeling of Contaminant Transport in Subsurface Soil Media Using UFV Approach. International Journal of Geomechanics, 20(4), 04020031.
  26. Moazamnia, M., Hassanzadeh, Y., Nadiri, A. A., & Sadeghfam, S. (2020). Vulnerability indexing to saltwater intrusion from models at two levels using artificial intelligence multiple model (AIMM). Journal of Environmental Management, 255, 109871.
  27. Rouzegari, N., Hassanzadeh, Y., & Sattari, M. T. (2019). Using the Hybrid Simulated Annealing-M5 Tree Algorithms to Extract the If-Then Operation Rules in a Single Reservoir. Water Resources Management, 33(10), 3655-3672.
  28. Karimi, S., Shiri, J., & Marti, P. (2020). Supplanting missing climatic inputs in classical and random forest models for estimating reference evapotranspiration in humid coastal areas of Iran. Computers and Electronics in Agriculture, 176, 105633.
  29. Shiri, N., Shiri, J., Nourani, V., & Karimi, S. (2020). Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach. ISH Journal of Hydraulic Engineering, 1-10.
  30. Kazemi, M. H., Shiri, J., Marti, P., & Majnooni, A. (2020). Assessing temporal data partitioning scenarios for estimating reference evapotranspiration with machine learning techniques in arid regions. Journal of Hydrology, 125252.
  31. Khodayvandie, B., Nazemi, A. H., Shiri, J., & Trajkovic, S. (2020). Adopting regional calibration scenarios for ensuring reliable ETo estimates in semi-arid regions: assessing the ancillary data supply method. ISH Journal of Hydraulic Engineering, 1-11.
  32. Maroufpoor, S., Jalali, M., Nikmehr, S., Shiri, N., Shiri, J., & Maroufpoor, E. (2020). Modeling groundwater quality by using hybrid intelligent and geostatistical methods. Environmental Science and Pollution Research International.
  33. Shiri, J., Karimi, B., Karimi, N., Kazemi, M. H., & Karimi, S. (2020). Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models. Journal of Hydrology, 124792.
  34. Janjua, S., Hassan, I., Zarghami, M., & Islam, S. (2020). Addressing supply-demand gap in shared rivers using water diplomacy framework: utility of game theory in the Indus river within Pakistan. Water Policy.
  35. Roushangar, K., Ghasempour, R., & Nourani, V. (2020). The potential of integrated hybrid pre-post-processing techniques for short-to long-term drought forecasting. Journal of Hydroinformatics.
  36. Baghanam, A. H., Nourani, V., Aslani, H., & Taghipour, H. (2020). Spatiotemporal variation of water pollution near landfill site: Application of clustering methods to assess the admissibility of LWPI. Journal of Hydrology, 591, 125581.
  37. Ahmadi, A., Aghakhani Afshar, A., Nourani, V., Pourreza-Bilondi, M., & Besalatpour, A. A. (2020). Assessment of MC&MCMC uncertainty analysis frameworks on SWAT model by focusing on future runoff prediction in a mountainous watershed via CMIP5 models. Journal of Water and Climate Change, 11(4), 1811-1828.
  38. Nourani, V., Abdollahi, Z., & Sharghi, E. (2020). Sensitivity analysis and ensemble artificial intelligence-based model for short-term prediction of NO 2 concentration. International Journal of Environmental Science and Technology, 1-20.
  39. Naghipour, L., Aalami, M. T., & Nourani, V. (2020). Reconstruction of network connectivity by the interplay between complex structure and dynamics to discover climate networks. Theoretical and Applied Climatology, 1-19.
  40. Jafariroodsari, S., Nourani, V., & Gokçekuş, H. (2020). Investigating sea-level change on the coastal aquifer, case study: Jafakendeh aquifer. Modeling Earth Systems and Environment, 1-9.
  41. Nourani, V., Foroumandi, E., Sharghi, E., & Dąbrowska, D. (2020). Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques. Journal of Hydroinformatics.
  42. Kazemi, M. H., Shiri, J., Marti, P., & Majnooni-Heris, A. (2020). Assessing temporal data partitioning scenarios for estimating reference evapotranspiration with machine learning techniques in arid regions. Journal of Hydrology, 590, 125252.
  43. Kazemi, M. H., Majnooni-Heris, A., Kisi, O., & Shiri, J. (2020). Generalized gene expression programming models for estimating reference evapotranspiration through cross-station assessment and exogenous data supply. Environmental Science and Pollution Research, 1-13.
  44. Karimi, S., Shiri, J., & Marti, P. (2020). Supplanting missing climatic inputs in classical and random forest models for estimating reference evapotranspiration in humid coastal areas of Iran. Computers and Electronics in Agriculture, 176, 105633.
  45. Barhagh, S. E., Zarghami, M., Ghale, Y. A. G., & Shahbazbegian, M. R. (2020). System Dynamics to Assess the Effectiveness of Restoration Scenarios for the Urmia Lake: A Prey-Predator Approach for the Human-Environment Uncertain Interactions. Journal of Hydrology, 125891.
  46. Janjua, S., Hassan, I., Zarghami, M., & Islam, S. (2020). Addressing the supply-demand gap in shared rivers using water diplomacy framework: utility of game theory in the Indus river within Pakistan. Water Policy, 22(5), 789-810.
  47. Roushangar, K., Saghebian, S. M., Kirca, V. O., & Ghasempour, R. (2020). Prediction of form roughness coefficient in alluvial channels using efficient hybrid approaches. Soft Computing, 24(24), 18531-18543.
  48. Roushangar, K., Alami, M. T., & Houshyar, Y. (2020). Experimental investigation of bentonite impact on self-healing of clay soils. Arabian Journal of Geosciences, 13(21), 1-9.
  49. Saghebian, S. M., Roushangar, K., Ozgur Kirca, V. S., & Ghasempour, R. (2020). Modeling total resistance and form resistance of movable bed channels via experimental data and a kernel-based approach. Journal of Hydroinformatics, 22(3), 528-540.
  50. Roushangar, K., Ghasempour, R., & Biukaghazadeh, S. (2020). Evaluation of the parameters affecting the roughness coefficient of sewer pipes with rigid and loose boundary conditions via kernel based approaches. International Journal of Sediment Research, 35(2), 171-179.
  51. Ahmadi, H., Chamani, S., & Kouhi, A. (2020). Effects of geometrical parameters on the degree of bending (DoB) in multi-planar tubular XT-joints of offshore structures subjected to axial loading. Applied Ocean Research, 104, 102381.
  52. Azari-Dodaran, N., & Ahmadi, H. (2020). Numerical study on the ultimate load of offshore two-planar tubular KK-joints at fire-induced elevated temperatures. Journal of Marine Engineering & Technology, 1-19.
  53. Nourani, V., Karimzadeh, H., & Baghanam, A. H. (2021). Forecasting CO pollutant concentration of Tabriz city air using artificial neural network and adaptive neuro-fuzzy inference system and its impact on sustainable development of urban. Environmental Earth Sciences, 80(4), 1-10.
  54. Nourani, V., Asghari, P., & Sharghi, E. (2021). Artificial intelligence based ensemble modeling of wastewater treatment plant using jittered data. Journal of Cleaner Production, 125772.
  55.  Nourani, V., Paknezhad, N. J., & Tanaka, H. (2021). Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review. Sustainability, 13(4), 1633.
  56. Hosseini, A. S., Zavvar, E., & Ahmadi, H. (2021). Stress concentration factors in FRP-strengthened steel tubular KT-joints. Applied Ocean Research, 108, 102525.
  57. Rashid Niaghi, A., Hassanijalilian, O., & Shiri, J. (2021). Estimation of Reference Evapotranspiration Using Spatial and Temporal Machine Learning Approaches. Hydrology, 8(1), 25.
  58. Ebrahimi, M., Sarikhani, M. R., Shiri, J., & Shahbazi, F. (2021). Modeling soil enzyme activity using easily measured variables: Heuristic alternatives. Applied Soil Ecology, 157, 103753.
  59. Kouzehgar, K., Hassanzadeh, Y., Eslamian, S., Fard, M. Y., & Amini, A. B. (2021). Physical modeling into outflow hydrographs and breach characteristics of homogeneous earthfill dams failure due to overtopping. Journal of Mountain Science, 1-20.
  60. Foroumandi, E., Nourani, V., & Sharghi, E. (2020). Climate change or regional human impacts? remote sensing tools, artificial neural networks, and wavelet approaches aim to solve the problem. Hydrology Research.
  61. Abdullahi, J., Iravanian, A., Nourani, V., & Elkiran, G. (2020). Application of artificial intelligence based and multiple regression techniques for monthly precipitation modeling in coastal and inland stations. DESALINATION AND WATER TREATMENT, 177, 338-349.
  62. Roushangar, K., Chamani, M., Ghasempour, R., Azamathulla, H. M., & Alizadeh, F. (2021). A comparative study of wavelet-and empirical mode decomposition-based GPR models for river discharge relationship modeling at consecutive hydrometric stations. Water Supply.
  63. Nourani, V., Najafi, H., Sharghi, E., & Roushangar, K. (2021). Application of Z-Numbers to Monitor Drought Using Large-Scale Oceanic-Atmospheric Parameters. Journal of Hydrology, 126198.
  64. Roushangar, K., Moghaddas, M., Ghasempour, R., & Alizadeh, F. (2021). Evaluation of spatial–temporal characteristics of precipitation using discrete maximal overlap wavelet transform and spatial clustering tools. Hydrology Research.
  65. Roushangar, K., Aghajani, N., Ghasempour, R., & Alizadeh, F. (2021). The potential of ensemble WT-EEMD-kernel extreme learning machine techniques for prediction suspended sediment concentration in successive points of river. Journal of Hydroinformatics.
  66. Azari-Dodaran, N., & Ahmadi, H. (2021). Fire resistance of collar-plate-reinforced multi-planar tubular KK-joints: experimental and numerical study for the design formulation. Ships and Offshore Structures, 1-19.
  67. Azari-Dodaran, N., Ahmadi, H., Zhu, L., & Li, P. (2021). Experimental and numerical study of the ultimate load for collar-plate-reinforced tubular K-joints at fire-induced elevated temperatures. Ships and Offshore Structures, 1-19.
  68. Anbari, M. J., Zarghami, M., & Nadiri, A. A. (2021). An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran. Agricultural Water Management, 249, 106796.
  69. Rashid Niaghi, A., Hassanijalilian, O., & Shiri, J. (2021). Estimation of Reference Evapotranspiration Using Spatial and Temporal Machine Learning Approaches. Hydrology, 8(1), 25.
  70. Nourani, V., Gokcekus, H., & Gelete, G. (2021). Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model. Complexity, 2021.
  71. Andaryani, S., Nourani, V., Haghighi, A. T., & Keesstra, S. (2021). Integration of hard and soft supervised machine learning for flood susceptibility mapping. Journal of Environmental Management, 291, 112731.
  72. Umar, I. K., Nourani, V., & Gökçekuş, H. (2021). A novel multi-model data-driven ensemble approach for the prediction of particulate matter concentration. Environmental Science and Pollution Research, 1-15
  73. Nourani, V., Gökçekuş, H., & Gichamo, T. (2021). Ensemble data-driven rainfall-runoff modeling using multi-source satellite and gauge rainfall data input fusion. Earth Science Informatics, 1-22.‏
  74. Nourani, V., Najafi, H., Amini, A. B., & Tanaka, H. (2021). Using Hybrid Wavelet-Exponential Smoothing Approach for Streamflow Modeling. Complexity, 2021.‏
  75. Alizadeh, M. J., Nourani, V., & Kavianpour, M. R. (2021). A statistical framework to project wave climate and energy potential in the Caspian Sea: application of CMIP6 scenarios. International Journal of Environmental Science and Technology, 1-14.‏
  76. Norouzi, H., Moghaddam, A. A., Celico, F., & Shiri, J. (2021). Assessment of groundwater vulnerability using genetic algorithm and random forest methods (case study: Miandoab plain, NW of Iran). Environmental Science and Pollution Research, 1-16.‏
  77. Karimi, B., Karimi, N., Shiri, J., & Sanikhani, H. (2021). Modeling Moisture Redistribution of Pulse Drip Irrigation Systems by Soil and System Parameters: New Regression-based Approaches.‏
  78. Kazemi, M. H., Majnooni-Heris, A., Kisi, O., & Shiri, J. (2021). Generalized gene expression programming models for estimating reference evapotranspiration through cross-station assessment and exogenous data supply. Environmental Science and Pollution Research, 28(6), 6520-6532.‏
  79. Ebrahimi, M., Sarikhani, M. R., Shiri, J., & Shahbazi, F. (2021). Modeling soil enzyme activity using easily measured variables: Heuristic alternatives. Applied Soil Ecology, 157, 103753.‏
  80. Kouzehgar, K., Hassanzadeh, Y., Eslamian, S., Fard, M. Y., & Amini, A. B. (2021). Experimental investigations and soft computations for predicting the erosion mechanisms and peak outflow discharge caused by embankment dam breach. Arabian Journal of Geosciences, 14(7), 1-19.‏
  81. Ahmadi, H., & Atalo, A. A. (2021). Geometrical effects on the degree of bending (DoB) of multi-planar tubular KK-joints in jacket substructure of offshore wind turbines. Applied Ocean Research, 111, 102678.‏
  82. Molajou, A., Nourani, V., Afshar, A., Khosravi, M., & Brysiewicz, A. (2021). Optimal design and feature selection by genetic algorithm for emotional artificial neural network (EANN) in rainfall-runoff modeling. Water Resources Management, 35(8), 2369–2384.  
  83. Nourani, V., Najafi, H., Sharghi, E., & Roushangar, K. (2021). Application of Z-numbers to monitor drought using large-scale oceanic-atmospheric parameters. Journal of Hydrology, 598(126198), 126198.  
  84. Andaryani, S., Nourani, V., Haghighi, A. T., & Keesstra, S. (2021). Integration of hard and soft supervised machine learning for flood susceptibility mapping. Journal of Environmental Management, 291(112731), 112731
  85. Coulibaly, P., Anctil, F., Aravena, R., & Bobée, B. (2001). Artificial neural network modeling of water table depth fluctuations. Water Resources Research, 37(4), 885–896. 
  86. Agirre-Basurko, E., Ibarra-Berastegi, G., & Madariaga, I. (2006). Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area. Environmental Modelling & Software: With Environment Data News, 21(4), 430–446.  
  87. Ahmed, A. A., & Pradhan, B. (2019). Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system. Environmental Monitoring and Assessment, 191(3), 190.  
  88. Nourani, V., Tootoonchi, R., & Andaryani, S. (2021). Investigation of climate, land cover and lake level pattern changes and interactions using remotely sensed data and wavelet analysis. Ecological Informatics, 64(101330), 101330.  
  89. Andaryani, S., Sloan, S., Nourani, V., & Keshtkar, H. (2021). The utility of a hybrid GEOMOD-Markov Chain model of land-use change in the context of highly water-demanding agriculture in a semi-arid region. Ecological Informatics, 64(101332), 101332.  
  90. Nourani, V., & Behfar, N. (2021). Multi-station runoff-sediment modeling using seasonal LSTM models. Journal of Hydrology, 601(126672), 126672.  
  91. Almedeij, J., & Al-Ruwaih, F. (2006). Periodic behavior of groundwater level fluctuations in residential areas. Journal of Hydrology, 328(3–4), 677–684.  
  92. Elkiran, G., Nourani, V., Elvis, O., & Abdullahi, J. (2021). Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models. Journal of Hydroinformatics, 23(6), 1395–1415.  
  93. Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT1. Journal of the American Water Resources Association, 34(1), 73–89.  
  94. Nourani, V., Sharghi, E., & Aminfar, M. H. (2012). Integrated ANN model for earthfill dams seepage analysis: Sattarkhan Dam in Iran. Artificial Intelligence Research, 1(2), 22.  
  95. Nourani, V., Afkhaminia, A., Andaryani, S., & Zhang, Y. (2021). Multi-station calibration strategy for evaluation and sensitivity analysis of the snowmelt runoff model using MODIS satellite images. Hydrology Research, 52(6), 1389–1404.  
  96. Nourani, V., Ghaneei, P., & Kantoush, S. A. (2022). Robust clustering for assessing the spatiotemporal variability of groundwater quantity and quality. Journal of Hydrology, 604(127272), 127272.  
  97. Foroumandi, E., Nourani, V., & Kantoush, S. A. (2022). Investigating the main reasons for the tragedy of large saline lakes: Drought, climate change, or anthropogenic activities? A call to action. Journal of Arid Environments, 196(104652), 104652.  
  98. Nourani, V., Ojaghi, A., & Zhang, Y. (2022). Saturated and unsaturated seepage analysis of earth-fill dams using fractal hydraulic conductivity function and its verification. Journal of Hydrology, 612(128302), 128302.  
  99. Nourani, V., Sharghi, E., Behfar, N., & Zhang, Y. (2022). Multi-step-ahead solar irradiance modeling employing multi-frequency deep learning models and climatic data. Applied Energy, 315(119069), 119069.  
  100. Foroumandi, E., Nourani, V., Dąbrowska, D., & Kantoush, S. A. (2022). Linking spatial–temporal changes of vegetation cover with hydroclimatological variables in terrestrial environments with a focus on the Lake Urmia basin. Land, 11(1), 115.  
  101. Andaryani, S., Nourani, V., Pradhan, B., Jalali Ansarudi, T., Ershadfath, F., & Torabi Haghighi, A. (2022). Spatiotemporal evaluation of future groundwater recharge in arid and semi-arid regions under climate change scenarios. Journal Des Sciences Hydrologiques [Hydrological Sciences Journal], 67(6), 979–995.  
  102. Sharghi, E., Nourani, V., Zhang, Y., & Ghaneei, P. (2022). Conjunction of cluster ensemble-model ensemble techniques for spatiotemporal assessment of groundwater depletion in semi-arid plains. Journal of Hydrology, 610(127984), 127984.  
  103. Ahmadi, F., Mehdizadeh, S., & Nourani, V. (2022). Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis. Stochastic Environmental Research and Risk Assessment: Research Journal. 
  104. Momeneh, S., & Nourani, V. (2022). Application of a novel technique of the multi-discrete wavelet transforms in hybrid with artificial neural network to forecast the daily and monthly streamflow. Modeling Earth Systems and Environment.  
  105. Danandeh Mehr, A., Torabi Haghighi, A., Jabarnejad, M., Safari, M. J. S., & Nourani, V. (2022). A new evolutionary hybrid random forest model for SPEI forecasting. Water, 14(5), 755.  
  106. Shiri, N., Shiri, J., Nourani, V., & Karimi, S. (2022). Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach. ISH Journal of Hydraulic Engineering, 28(sup1), 356–365.  
  107. Sreedevi, V., Adarsh, S., & Nourani, V. (2022). Multiscale coherence analysis of reference evapotranspiration of north-western Iran using wavelet transform. Journal of Water and Climate Change, 13(2), 505–521.  
  108. Nourani, V., Khodkar, K., Paknezhad, N. J., & Laux, P. (2022). Deep learning-based uncertainty quantification of groundwater level predictions. Stochastic Environmental Research and Risk Assessment: Research Journal, 36(10), 3081–3107.
  109. Sharifi, S.-S., Rezaverdinejad, V., Nourani, V., & Behmanesh, J. (2022). Multi-time-step ahead daily global solar radiation forecasting: performance evaluation of wavelet-based artificial neural network model. Meteorology and Atmospheric Physics, 134(3).  
  110. Roushangar, K., Ghasempour, R., & Nourani, V. (2022). Spatiotemporal analysis of droughts over different climate regions using hybrid clustering method. Water Resources Management, 36(2), 473–488.  
  111. Umar, I. K., Gökçekuş, H., & Nourani, V. (2022). An intelligent soft computing technique for prediction of vehicular traffic noise. Arabian Journal of Geosciences, 15(19).  
  112. Momeneh, S., & Nourani, V. (2022). Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models. Hydrology Research, 53(6), 914–944.  
  113. Najafi, H., Nourani, V., Sharghi, E., Roushangar, K., & Dąbrowska, D. (2022). Application of Z-numbers to teleconnection modeling between monthly precipitation and large scale sea surface temperature. Hydrology Research, 53(1), 1–13.  
  114. Gebremichael, M., Yue, H., Nourani, V., & Damoah, R. (2022). The skills of medium-range precipitation forecasts in the Senegal River Basin. Sustainability, 14(6), 3349. 
  115. Nourani, V., Kheiri, A., & Behfar, N. (2022). Multi-station artificial intelligence based ensemble modeling of suspended sediment load. Water Science & Technology: Water Supply, 22(1), 707–733.  
  116. Nourani, V., Khodkar, K., & Gebremichael, M. (2022). Uncertainty assessment of LSTM based groundwater level predictions. Journal Des Sciences Hydrologiques [Hydrological Sciences Journal], 1–18.  
  117. Dabrowska, D., Nowak, A., Soltysiak, M., Biniecka, P., Nourani, V., & Wasilkowski, D. (2022). In situ lysimeter experiment of leaching pollutants from municipal waste with physicochemical status and microbiome condition. Journal of Hydrology, 613(128309), 128309.  
  118. Hosseini Baghanam, A., Norouzi, E., & Nourani, V. (2022). Wavelet-based predictor screening for statistical downscaling of precipitation and temperature using the artificial neural network method. Hydrology Research, 53(3), 385–406.  
  119. Yue, H., Gebremichael, M., & Nourani, V. (2022). Evaluation of Global Forecast System (GFS) medium-range precipitation forecasts in the Nile river basin. Journal of Hydrometeorology, 23(1), 101–116.  
  120. Baghanam, A. H., Vakili, A. T., Nourani, V., Dąbrowska, D., & Soltysiak, M. (2022). AI-based ensemble modeling of landfill leakage employing a lysimeter, climatic data and transfer learning. Journal of Hydrology, 612(128243), 128243.  
  121. Maghrebi, M., Danandeh Mehr, A., Karrabi, S. M., Sadegh, M., Partani, S., Ghiasi, B., & Nourani, V. (2022). Spatiotemporal variations of air pollution during the COVID-19 pandemic across Tehran, Iran: Commonalities with and differences from global trends. Sustainability, 14(23), 16313.  
  122. Dini, M., Mohammadikaleibar, A., Hashemi, S., & Nourani, V. (2022). Stochastic long-term reliability of water distribution networks using Monte Carlo simulation. Urban Water Journal, 19(2), 151–160.  
  123. Naghipour, L., Aalami, M. T., & Nourani, V. (2022). Unravelling the backbone of climate networks from the analysis of collective dynamics and time reversal. International Journal of Climatology: A Journal of the Royal Meteorological Society, 42(11), 5535–5553.  
  124. Adarsh, S., Nourani, V., Johnson, A., Jayan, A., Archana, D. S., & Amrutha, A. J. (2022). On the detection and attribution of streamflow persistence of rivers in Peninsular India. Acta Geophysica, 70(3), 1373–1383.  
  125. Nourani, V. (2022). Application of the artificial intelligence approach and remotely sensed imagery for soil moisture evaluation. Hydrology Research, 53(5), 684–699.  
  126. Nourani, V., Paknezhad, N. J., & Huang, J. J. (2022). Application of PPIE method to assess the uncertainty and accuracy of multi-climate model-based temperature and precipitation downscaling. Theoretical and Applied Climatology, 147(3–4), 1327–1343.  
  127. Sarreshtedar, A., Sharghi, E., Afkhaminia, A., Nourani, V., & Ng, A. (2022). Investigation of quantitative and qualitative changes in groundwater of Ardebil plain using ensemble artificial intelligence-based modeling. Water Science & Technology: Water Supply, 22(9), 7140–7157.  
  128. Gebremichael, M., Yue, H., & Nourani, V. (2022). The accuracy of precipitation forecasts at timescales of 1–15 days in the Volta river basin. Remote Sensing, 14(4), 937.  
  129. Fatehi-Nobarian, B., Panahi, R., & Nourani, V. (2022). Investigation of the effect of velocity on secondary currents in semicircular channels on hydraulic jump parameters. Iranian Journal of Science and Technology Transactions of Civil Engineering, 46(4), 3351–3359.  
  130. Nourani, V., & Najafi, H. (2022). Historical changes in hydroclimatic extreme events over Iran. In Climate Impacts on Extreme Weather (pp. 101–115).  
  131. Rouzegari, N., Nourani, V., Ludwig, R., & Laux, P. (2022). Assessing the performance of a machine learning-based hybrid model in downscaling precipitation data. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 235–245).  
  132. Nourani, V., Ghaneei, P., & Sharghi, E. (2022). Multi-step-ahead forecasting of groundwater level using model ensemble technique. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 247–257).  
  133. Nourani, V., Ansari, M. G., & Ghaneei, P. (2022). Spatiotemporal clustering of groundwater depth in Ardabil plain. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 227–233).  
  134. Umar, I. K., Nourani, V., Gökçekuş, H., & Abba, S. (2022). An intelligent hybridized computing techniques for the prediction of roadway traffic noise based on non-linear mutual information.  
  135. Momeneh, S., & Nourani, V. (2022). Evaluate the performance of the artificial neural network model in hybrids with different preprocessors to forecast the streamflow time series.  
  136. Roushangar, K., Ghasempour, R., & Nourani, V. (2022). Spatiotemporal analysis of droughts over different climate regions using hybrid clustering method. Water Resources Management, 36(2), 473–488.  
  137. Gebremichael, M., Yue, H., Nourani, V., & Damoah, R. (2022). The skills of medium-range precipitation forecasts in the Senegal River Basin. Sustainability, 14(6), 3349.  
  138. Nourani, V., Ojaghi, A., & Zhang, Y. (2022). Saturated and unsaturated seepage analysis of earth-fill dams using fractal hydraulic conductivity function and its verification. Journal of Hydrology, 612(128302), 128302.  
  139. Li, Q., Shi, G., Shangguan, W., Nourani, V., Li, J., Li, L., … Dai, Y. (2022). A 1 km daily soil moisture dataset over China using in situ measurement and machine learning. Earth System Science Data, 14(12), 5267–5286.  
  140. Sharghi, E., Nourani, V., Zhang, Y., & Ghaneei, P. (2022). Conjunction of cluster ensemble-model ensemble techniques for spatiotemporal assessment of groundwater depletion in semi-arid plains. Journal of Hydrology, 610(127984), 127984.  
  141. Shiri, N., Shiri, J., Nourani, V., & Karimi, S. (2022). Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach. ISH Journal of Hydraulic Engineering, 28(sup1), 356–365.  
  142. Sreedevi, V., Adarsh, S., & Nourani, V. (2022). Multiscale coherence analysis of reference evapotranspiration of north-western Iran using wavelet transform. Journal of Water and Climate Change, 13(2), 505–521.  
  143. Roushangar, K., Ghasempour, R., & Nourani, V. (2022). Correction to: Spatiotemporal analysis of droughts over different climate regions using hybrid clustering method. Water Resources Management, 36(2), 489–489.  
  144. Umar, I. K., Gökçekuş, H., & Nourani, V. (2022). An intelligent soft computing technique for prediction of vehicular traffic noise. Arabian Journal of Geosciences, 15(19).
  145. Najafi, H., Nourani, V., Sharghi, E., Roushangar, K., & Dąbrowska, D. (2022). Application of Z-numbers to teleconnection modeling between monthly precipitation and large scale sea surface temperature. Hydrology Research, 53(1), 1–13.
  146. Nourani, V., Kheiri, A., & Behfar, N. (2022). Multi-station artificial intelligence based ensemble modeling of suspended sediment load. Water Science & Technology: Water Supply, 22(1), 707–733.  
  147. Dabrowska, D., Nowak, A., Soltysiak, M., Biniecka, P., Nourani, V., & Wasilkowski, D. (2022). In situ lysimeter experiment of leaching pollutants from municipal waste with physicochemical status and microbiome condition. Journal of Hydrology, 613(128309), 128309.  
  148. Maghrebi, M., Danandeh Mehr, A., Karrabi, S. M., Sadegh, M., Partani, S., Ghiasi, B., & Nourani, V. (2022). Spatiotemporal variations of air pollution during the COVID-19 pandemic across Tehran, Iran: Commonalities with and differences from global trends. Sustainability, 14(23), 16313.  
  149. Dini, M., Mohammadikaleibar, A., Hashemi, S., & Nourani, V. (2022). Stochastic long-term reliability of water distribution networks using Monte Carlo simulation. Urban Water Journal, 19(2), 151–160.  
  150. Sarreshtedar, A., Sharghi, E., Afkhaminia, A., Nourani, V., & Ng, A. (2022). Investigation of quantitative and qualitative changes in groundwater of Ardebil plain using ensemble artificial intelligence-based modeling. Water Science & Technology: Water Supply, 22(9), 7140–7157.  
  151. Rouzegari, N., Nourani, V., Ludwig, R., & Laux, P. (2022). Assessing the performance of a machine learning-based hybrid model in downscaling precipitation data. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 235–245).  
  152. Nourani, V., Ghaneei, P., & Sharghi, E. (2022). Multi-step-ahead forecasting of groundwater level using model ensemble technique. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 247–257).  
  153. Nourani, V., Ansari, M. G., & Ghaneei, P. (2022). Spatiotemporal clustering of groundwater depth in Ardabil plain. In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications (pp. 227–233).  
  154. Umar, I. K., Nourani, V., Gökçekuş, H., & Abba, S. (2022). An intelligent hybridized computing techniques for the prediction of roadway traffic noise based on non-linear mutual information.
  155. Momeneh, S., & Nourani, V. (2022). Evaluate the performance of the artificial neural network model in hybrids with different preprocessors to forecast the streamflow time series.  
  156. Chang, L., Cheng, L., Huang, C., Qin, S., Fu, C., & Li, S. (2022). Extracting urban water bodies from Landsat imagery based on mNDWI and HSV transformation. Remote Sensing, 14(22), 5785. 
  157. Umar, I. K., Nourani, V., Gökçekuş, H., & Abba, S. I. (2023). An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment. Soft Computing, 27(15), 10807–10825.
  158. Nourani, V., & Najafi, H. (2023). A Z-number based multi-attribute decision-making algorithm for hydro-environmental system management. Neural Computing and Applications, 35(9), 6405–6421. 
  159. Gelete, G., Nourani, V., Gokcekus, H., & Gichamo, T. (2023). Ensemble physically based semi-distributed models for the rainfall-runoff process modeling in the data-scarce Katar catchment, Ethiopia. Journal of Hydro informatics, 25(2).
  160. Nourani, V., Maleki, S., Najafi, H., & Baghanam, A. H. (2023). A fuzzy logic-based approach for groundwater vulnerability assessment. Environmental Science and Pollution Research.
  161. Dabrowska, D., Rykala, W., & Nourani, V. (2023). Causes, Types and Consequences of Municipal Waste Landfill Fires—Literature Review. Sustainability, 15(7).  
  162. Mustafa Alee, M., Danandeh Mehr, A., Akdegirmen, O., & Nourani, V. (2023). Drought Assessment across Erbil Using Satellite Products. Sustainability, 15(8).
  163. J. Wu, C. -Q. Ke, Y. Cai, V. Nourani, J. Chen, & Z. Duan. (2023). GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4024–4038.  
  164. Shangguan, W., Xiong, Z., Nourani, V., Li, Q., Lu, X., Li, L., … Dai, Y. (2023). A 1 km Global Carbon Flux Dataset Using in Situ Measurements and Deep Learning. Forests, 14(5).  
  165. Huang, F., Zhang, Y., Zhang, Y., Nourani, V., Li, Q., Li, L., & Shangguan, W. (2023). Towards interpreting machine learning models for predicting soil moisture droughts. Environmental Research Letters, 18(7), 074002.  
  166. Fatehi-Nobarian, B., Nourani, V., & Ng, A. (2023). Application of meta-heuristic methods in the optimization of geometrical sections in trapezoidal channels in jump energy loss. AQUA - Water Infrastructure, Ecosystems and Society, 72(8), 1539–1552.  
  167. Zhuang, L., Ke, C., Cai, Y., & Nourani, V. (2023). Measuring glacier changes in the Tianshan Mountains over the past 20 years using Google Earth Engine and machine learning. Journal of Geographical Sciences, 33(9), 1939–1964.  
  168. Xiong, Z., Shangguan, W., Nourani, V., Li, Q., Lu, X., Li, L., … Li, X. (2023). Assessing the Reliability of Global Carbon Flux Dataset Compared to Existing Datasets and Their Spatiotemporal Characteristics. Climate, 11(10).  
  169. Nourani, V., Sayyah-Fard, M., & Zhang, Y. (2023). Coupling uncertain patterns of climatic variables in estimating evaporation from open water bodies. Stochastic Environmental Research and Risk Assessment.  
  170. Baghanam, A. H., Nourani, V., & Karimzadeh, H. (2024). Improving artificial intelligence-based air pollution modeling with the application of meteorological data. International Journal of Environmental Science and Technology, 21(1), 431–446.  
  171. Gichamo, T., Nourani, V., Gökçekuş, H., & Gelete, G. (2023). Ensemble rainfall–runoff modeling of physically based semi-distributed models using multi-source rainfall data fusion. Journal of Water and Climate Change, jwc2023084.  
  172. Gelete, G., Nourani, V., Gökçekuş, H., & Gichamo, T. (2023). Multi-step ahead suspended sediment load modeling using machine learning– multi-model approach. Earth Science Informatics.  
  173. Nourani, V., Zonouz, R. S., & Dini, M. (2023). Estimation of prediction intervals for uncertainty assessment of artificial neural network-based wastewater treatment plant effluent modeling. Journal of Water Process Engineering, 55(104145), 104145.  
  174. Binoy, S., Jyoma, J. P., Adarsh, S., Siddik, A. M., Nourani, V., Alisha, A., & Sreeshma, T. (2023). Flood risk analysis and mapping under compound hazards: A copula approach for tropical coastal district of Alappuzha, India. Journal of Hydro environment Research, 46, 60–71.  
  175. Maleki, S., Nourani, V., Najafi, H., Baghanam, A. H., & Ke, C.-Q. (2023). Z-numbers based novel method for assessing groundwater specific vulnerability. Engineering Applications of Artificial Intelligence, 122(106104), 106104.  4
  176. Nourani, V., Ghareh Tapeh, A. H., Khodkar, K., & Huang, J. J. (2023). Assessing long-term climate change impact on spatiotemporal changes of groundwater level using autoregressive-based and ensemble machine learning models. Journal of Environmental Management, 336(117653), 117653.  
  177. Andaryani, S., Nourani, V., Abbasnejad, H., Koch, J., Stisen, S., Klöve, B., & Haghighi, A. T. (2023). Spatio-temporal analysis of climate and irrigated vegetation cover changes and their role in lake water level depletion using a pixel-based approach and canonical correlation analysis. The Science of the Total Environment, 873(162326), 162326.  
  178. Foroumandi, E., Nourani, V., Jeanne Huang, J., & Moradkhani, H. (2023). Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach. Journal of Hydrology, 616(128838), 128838.  
  179. Nourani, V., Najafi, H., Sharghi, E., & Eslamian, S. (2023). Fuzzy-based large-scale teleconnection modeling of monthly precipitation. In Handbook of Hydroinformatics (pp. 137–153).  
  180. Nourani, V., Umar, I. K., Gökçekuş, H., & Eslamian, S. (2023). Emotional artificial neural network: A new ANN model in hydroinformatics. In Handbook of Hydroinformatics (pp. 105–115).  
  181. Nourani, V., Sharghi, E., Paknezhad, N. J., & Eslamian, S. (2023). Metrics of the water performance engineering modeling. In Handbook of Hydroinformatics (pp. 185–203).  
  182. Nourani, V., Sharghi, E., Behfar, N., Sadikoglu, F., & Eslamian, S. (2023). Artificial Intelligence-based model fusion approach in hydroclimatic studies. In Handbook of Hydroinformatics (pp. 15–33).  
  183. Sharifi Moghadam, E., Sadeghi, S. H., Zarghami, M., & Delavar, M. (2023). Developing sustainable land-use patterns at watershed scale using nexus of soil, water, energy, and food. The Science of the Total Environment, 856(158935), 158935.  
  184. Roushangar, K., Ghasempour, R., & Shahnazi, S. (2023). Kernel-based modeling. In Handbook of Hydroinformatics (pp. 267–281).  
  185. Roushangar, K., & Ghasempour, R. (2023). Supporting vector machines. In Handbook of Hydroinformatics (pp. 411–422).  
  186. Roushangar, K., Abdelzad, S., & Shahnazi, S. (2024). Simulation of the projected river flow changes using integrated downscaling and Bayesian optimization-tuned kernel-based models. International Journal of Environmental Science and Technology, 21(2), 1321–1344.  
  187. Roushangar, K., Aalami, M. T., Golmohammadi, H., & Shahnazi, S. (2023). Monitoring and prediction of land use/land cover changes and water requirements in the basin of the Urmia Lake, Iran. Water Supply, 23(6), 2299–2312.  
  188. Roushangar, K., Alami, M. T., & Golmohammadi, H. (2023). Modeling the effects of land use/land cover changes on water requirements of Urmia Lake basin using CA-Markov and NETWAT models. Modeling Earth Systems and Environment, 9(2), 2569–2581.  
  189. Roushangar, K., Davoudi, S., & Shahnazi, S. (2023). The potential of novel hybrid SBO-based long short-term memory network for prediction of dissolved oxygen concentration in successive points of the Savannah River, USA. Environmental Science and Pollution Research, 30(16), 46960–46978.  
  190. Roushangar, K., Shahnazi, S., & Sadaghiani, A. A. (2023). An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gates. Soft Computing, 27(7), 3623–3640.  
  191. Roushangar, K., Alirezazadeh Sadaghiani, A., & Shahnazi, S. (2023). Novel application of robust GWO-KELM model in predicting discharge coefficient of radial gates: a field data-based analysis. Journal of Hydroinformatics, 25(2), 275–299.  
  192. Roushangar, K., Ghasempour, R., & Azamathulla, H. M. (2022). An inverse problem for modeling open channel flow with movable bed. Water Supply, 23(1), 222–236.

کلید واژه ها: Hydrology Hydroligical_modelling Runoff

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