According to the European Union Water Framework Directive requirements, diatom metrics were used to assess the ecological status of surface waters in the Gaziantep central catchment (Turkey). A total of 42 diatom taxa were identified. A few environmental factors (especially lead, copper, orthophosphate, and chromium) played significant roles on the distribution of diatom assemblages among the sampling stations. The first two axes of the canonical correspondence analysis elucidated 91.6 % of the species–environment correlations with 13.9 % of the cumulative variance of species. The applied diatom indices (TIT – Trophic Index Turkey, TI – Trophic Index, and EPI-D – Eutrophication and/or Pollution Index-Diatom) showed different results in the evaluation of the ecological status of sampling stations. The results of TIT and TI indicate that Kıratlı creek has a poor ecological condition, while a good ecological condition was reported by the EPI-D index. This creek is associated with relatively high nutrient values (e.g., 91.1 µg L–1 P-PO4, 8.6 mg L–1 N-NO3, 0.59 mg L–1 N-NO2, and 97.5 mg L–1 SO4) and characterized by pollution-tolerant taxa (e.g., Amphora ovalis Cocconeis placentula Cyclotella meneghiniana Gomphonema parvulum Fragilaria biceps, and Navicula trivialis). The results of the Spearman correlation analysis reveal that TIT has a significant positive correlation with P-PO4 (p < 0.01, r = 0.780), conductivity (p < 0.01, r = 0.769), N-NO3 (p < 0.01, r = 0.714), and N-NO2 (p < 0.01, r = 0.778). Our results show that TIT is a suitable diatom metric to assess the ecological status of surface waters in the Gaziantep central catchment and for the Mediterranean region in general.
This work is concerned with the design and performance evaluation of a shell and double concentric tubes heat exchanger using Solid Works and ANSY (Computational Fluid Dynamics).
Computational fluid dynamics technique which is a computer-based analysis is used to simulate the heat exchanger involving fluid flow, heat transfer. CFD resolve the entire heat exchanger in discrete elements to find: (1) the temperature gradients, (2) pressure distribution, and (3) velocity vectors. The RNG k-ε model of turbulence is used to determining the accurate results from CFD.
The heat exchanger design for this work consisted of a shell and eight double concentric tubes. The number of inlets are three and that of o
... Show MoreThis paper examines the gaps in Lebanese building law as well as the exploitation of contractors, stakeholders, and residents in order to make illegal profits at the expense of The Shape of urban agglomerations and their expansion in cities and rural areas, which is contrary to the principles of sustainable land development. It also emphasizes the amplification of the factors of vertical and horizontal building investments in the implementation of buildings contrary to the license, as well as the burden that this places on the city's resulting infrastructure and ability to absorb the activities and needs of its residents. The study then presents recommendations in the process of transformation in the technique of planning and application
... Show MoreAn approximate solution of the liner system of ntegral cquations fot both fredholm(SFIEs)and Volterra(SIES)types has been derived using taylor series expansion.The solusion is essentailly
Improving" Jackknife Instrumental Variable Estimation method" using A class of immun algorithm with practical application
The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the