ABU yazarı "Danandeh Mehr, Ali" için listeleme
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A brief review of experimental friction loss studies for polyetylene pipes
Taş, Erkin; Ağıralioğlu, Necati; Danandeh Mehr, Ali; Tür, Rıfat (12th International Scientific Conference on Production Engineering Development and Modernization of Production, 2019)Plastic pipes, especialiy polyethylene pipes have grown to become one of the freguently utilized material in pipeline systems owing to its advantages of corrosion, biological and chemical resistance over traditional metal ... -
Chaos-based multigene genetic programming: a new hybrid strategy for river flow forecasting
Ghorbani, Mohammad Ali; Rahman, Khatibi; Danandeh Mehr, Ali; Hakimeh, Asadi (Elsevier, 2018)Chaos theory is integrated with Multi-Gene Genetic Programming (MGGP) engine as a new hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its performance is tested using daily historic flow ... -
Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey
Danandeh Mehr, Ali; Sorman, Ali Ünal; Kahya, Ercan; Hesami Afshar, Mahdi (Hydrological Sciences Journal, 2019)Using regionally downscaled and adjusted outputs of three global climate models (GCMs), meteorological drought analysis was accomplished across Ankara, the capital city of Turkey. To this end, standardized precipitation ... -
Cyprus water supply project: features and outcomes
Ağıralioğlu, Necati; Danandeh Mehr, Ali; Akdeğirmen, Özgün; Taş, Erkin (13th International Congress on Advances in Civil Engineering, 2018)Cyprus Island has very limited water resources. Recently, this problem has rather been resolved by transferring water from Turkey to the island known as Cyprus Water Supply Project (CWSP). The CWSP is comprised of three ... -
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
Nourani, Vahid; Molajou, Amir; Najafi, Hessam; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ... -
Energy demand forecasting using deep learning
Hrnjica, Bahrudin; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)Our cities face non-stop growth in population and infrastructures and require more energy every day. Energy management is the key success for the smart cities concept since electricity is one of the essential resources ... -
Ensemble gene expression programming: a new approach for evolution of parsimonious streamflow forecasting model
Rahmani-Rezaeieh, Aidin; Mohammadi, Mirali; Danandeh Mehr, Ali (Springer-Verlag, 2019)A precise forecast of streamflow in intermittent rivers is of major difficulties and challenges in watershed management, particularly in arid and semiarid regions. The present research study introduces an ensemble gene ... -
Estimation of urban imperviousness and its impacts on flashfloods in Gazipaşa, Turkey
Danandeh Mehr, Ali; Akdeğirmen, Özgün (Knowledge-Based Engineering and Sciences, 2021)The paper examines flooding issues under rapid urbanization in Gazipasa city during the past seven years 2013-2019. The Storm Water Management Model (SWMM) integrated with the satellite images representing temporal variation ... -
A finite volume method for a 2D dam-break simulation on a wet bed using a modified HLLC scheme
Salamttalab, Mohammad Milad; Parmas, Behnam; Mustafa Alee, Hedi; Hooshyaripor, Farhad; Danandeh Mehr, Ali; Vosoughifar, Hamidreza; Hosseini, Seyed Abbas; Maghrebi, Mohsen; Noori, Roohollah (MDPI, 2023)his study proposes a numerical model for depth-averaged Reynolds equations (shallow-water equations) to investigate a dam-break problem, based upon a two-dimensional (2D) second-order upwind cell-center finite volume method. ... -
A genetic programming approach to forecast daily electricity demand
Danandeh Mehr, Ali; Bagheri, Farzaneh; Reşatoğlu, Rifat (Springer Nature Switzerland AG, 2019)A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ... -
Genetic programming in water resources engineering: a state-of-the-art review
Danandeh Mehr, Ali; Nourani, Vahid; Kahya, Ercan; Hrnjica, Bahrudin; Sattar, Ahmed M. A. (Elsevier, 2018)The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and ... -
A hybrid support vector regression-firefly model for monthly rainfall forecasting
Danandeh Mehr, Ali; Nourani, Vahid; Karimi Khosrowshahi, Vahid; Ghorbani, Moahmmad Ali (Springer Berlin Heidelberg, 2019)Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid ... -
An improved adaptive neuro-fuzzy inference system for hydrological drought prediction in algeria
Achite, Mohammed; Gul, Enes; Elshaboury, Nehal; Jehanzaib, Muhammad; Mohammadi, Babak; Danandeh Mehr, Ali (Elsevier, 2023)Drought has negative impacts on water resources, food security, soil degradation, desertification and agricultural productivity. The meteorological and hydrological droughts prediction using standardized precipitation/runoff ... -
An improved gene expression programming model for streamflow forecasting in intermittent streams
Danandeh Mehr, Ali (Elsevier, 2018)Skilful forecasting of monthly streamflow in intermittent rivers is a challenging task in stochastic hydrology. In this study, genetic algorithm (GA) was combined with gene expression programming (GEP) as a new hybrid model ... -
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
Nourani, Vahid; Ghasemzade, Mahsa; Danandeh Mehr, Ali; Sharghi, Elnaz (IWA Publishing, 2019)In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ... -
Modern soft computing techniques and their applications in civil engineering
Danandeh Mehr, Ali (12th International Scientific Conference, 2019)Soft computing (SC) is a group of technigues and methodologies applied to solve a wide range of problems spread in several areas of science. The aim is to exploit tolerance for imprecision, uncertainiy and partial truth ... -
Month ahead rainfall forecasting using gene expression programming
Danandeh Mehr, Ali (American Journal of Earth and Environmental Sciences, 2018)In the present study, gene expression programming (GEP) technique was used to develop one-month ahead monthly rainfall forecasting models in two meteorological stations located at a semi-arid region, Iran. GEP was trained ... -
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
Safari, Mir Jafar Sadegh; Danandeh Mehr, Ali (Elsevier, 2018)It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ... -
A new multi-objective genetic programming model for meteorological drought forecasting
Reihanifar, Masoud; Danandeh Mehr, Ali; Tur, Rifat; Ahmed, Abdelkader T.; Abualigah, Laith; Dąbrowska, Dominika (MDPI, 2023)Drought forecasting is a vital task for sustainable development and water resource management. Emerging machine learning techniques could be used to develop precise drought forecasting models. However, they need to be ... -
A new spatial estimation model and source apportionment of aliphatic hydrocarbons in coastal surface sediments of the Nayband Bay, Persian Gulf
Partani, Sadegh; Danandeh Mehr, Ali; Maghrebi, Mohsen; Mokhtari, Rouzbeh; Nachtnebel, Hans-Peter; Taniwaki, Ricardo Hideo; Arzhangi, Amin (Elsevier, 2023)Hydrocarbons, originating from oil and gas industries, are considered a potential risk for Nayband Bay, a natural marine park with extended mangroves, located on the north coastlines of the Persian Gulf, Iran. This paper ...