全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Sina Sadeghfam , Rahman Khatibi ...
来源:[J].Arabian Journal for Science and Engineering, 2017, Vol.42 (9), pp.4169-4179Springer
摘要:The information content of the classic equations describing the problem of forced hydraulic jumps in open channels is the subject of this paper. The forcing refers to designed structural composites to transform incoming supercritical flows into outgoing subcritical flows thr...
作者:... Yousef Hassanzadeh , Ata Allah Nadiri , Sina Sadeghfam
来源:[J].Journal of Environmental Management(IF 3.057), 2020, Vol.255Elsevier
摘要:Abstract(#br)Unplanned groundwater exploitation in coastal aquifers results in water decline and consequently triggers saltwater intrusion (SWI). This study formulates a novel modeling strategy based on GALDIT method using Artificial Intelligence (AI) models for mapping the vulne...
作者:Sina Sadeghfam , Maryam Gharekhani ...
来源:[J].Journal of Environmental Management(IF 3.057), 2018, Vol.217, pp.654-667Elsevier
摘要:Abstract(#br)Proof-of-concept is presented in this paper to a methodology formulated for indexing risks to groundwater aquifers exposed to impacts of diffuse contaminations from anthropogenic and geogenic origins. The methodology is for mapping/indexing, which refers to relative ...
作者:... Zahra Sedghi , Rahman Khatibi , Sina Sadeghfam
来源:[J].Journal of Environmental Management(IF 3.057), 2018, Vol.227, pp.415-428Elsevier
摘要:Abstract(#br)An investigation is presented to improve on the performances of the Basic DRASTIC Framework (BDF) and its variation by the Fuzzy-Catastrophe Framework (FCF), both of which provide an estimate of intrinsic aquifer vulnerabilities to anthropogenic contamination. BDF pr...
作者:Sina Sadeghfam , Ali Ehsanitabar ...
来源:[J].Ecological Indicators(IF 2.89), 2018, Vol.94, pp.170-184Elsevier
摘要:Abstract(#br)A novel methodology is introduced for the spatial indexing of groundwater drought ‘risks’ (GDRs). It combines reliability analysis and standardised water-level index (SWI), which is readily applicable to areas with sparse data on groundwater depth (GWD) measurem...
作者:... Rahman Khatibi , Sina Sadeghfam , Asghar Asghari Moghaddam
来源:[J].Science of the Total Environment(IF 3.258), 2017, Vol.574, pp.691-706Elsevier
摘要:Abstract(#br)This research presents a Supervised Intelligent Committee Machine (SICM) model to assess groundwater vulnerability indices of an aquifer. SICM uses Artificial Neural Networks (ANN) to overarch three Artificial Intelligence (AI) models: Support Vector Machine (SVM), N...
作者:... Rahman Khatibi , Sina Sadeghfam , Asghar Asghari Moghaddam
来源:[J].Science of the Total Environment(IF 3.258), 2017, Vol.574, pp.691-706Elsevier
摘要:Abstract(#br)This research presents a Supervised Intelligent Committee Machine (SICM) model to assess groundwater vulnerability indices of an aquifer. SICM uses Artificial Neural Networks (ANN) to overarch three Artificial Intelligence (AI) models: Support Vector Machine (SVM), N...
作者:Sina Sadeghfam , Yousef Hassanzadeh ...
来源:[J].Water Resources Management(IF 2.259), 2019, Vol.33 (3), pp.1123-1145Springer
摘要:Abstract(#br)Optimum Control by Artificial Intelligence (OCAI) is presented in this paper as a dynamic decision making algorithm for optimising pumpage schedule to remediate a contaminated aquifer using the Pump, Treat and Inject (PTI) method. OCAI integrates three modules t...
作者:Sina Sadeghfam , Ali Ehsanitabar ...
来源:[J].Ecological Indicators(IF 2.89), 2018, Vol.94 (Pt 1), pp.170-184Elsevier
摘要:Abstract(#br)A novel methodology is introduced for the spatial indexing of groundwater drought ‘risks’ (GDRs). It combines reliability analysis and standardised water-level index (SWI), which is readily applicable to areas with sparse data on groundwater depth (GWD) measurem...

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