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Enhancing nutrient absorption through the influence of mangrove ecosystem on flow rate and retention time in salt marshes
(Science of the Total Environment, 2024)
This study investigates the impact of pneumatophores (the aerial roots of Avicenna marina) on water flow rate, retention time, contact time, and consequently on nutrient absorption through the sediment in sub-tropical salt ...
A brief review of experimental friction loss studies for polyetylene pipes
(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 ...
A new multi-objective genetic programming model for meteorological drought forecasting
(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 ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(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 ...
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
(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, ...
A genetic programming approach to forecast daily electricity demand
(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) ...
A novel fuzzy random forest model for meteorological drought classification and prediction in ungauged catchments
(Pure and Applied Geophysics, 2020)
This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ...
Treated wastewater for concrete mixing; a comparitive study between astm and Turkisch standards
(12th International Scientific Conference on Production Engineering Development and Modernization of Production, 2019)
Water is one of the concrete mixing componenis that directly affecis the workability, durability, and mechanical properties of concrete elemenis. Generaliy, potable water which is suitable for human consumption is considered ...
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(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, ...
Cyprus water supply project: features and outcomes
(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 ...
