Showing 6 results for Naderloo
Parima Hajializadeh, Mohsen Safaei, Reza Naderloo, Mehdi Ghodrati Shojaei,
Volume 10, Issue 2 (Spatial Issue on Persian Gulf 2021)
Abstract
This study was conducted to determine the temporal and spatial distribution of Opusia indica in the Hara Biosphere Reserve in the Persian Gulf. Seasonal sampling (four seasons) was performed from winter 2019 to autumn 2019. Sampling was done in five regions and three habitats within each region using metal quadrats with dimensions of 25 × 25 cm. In each habitat, environmental parameters including temperature, salinity, dissolved oxygen, pH along with organic matter and grain size were measured. The results showed that the abundance and biomass of Opusia indica have decreasing trend with increasing habitat complexity. Seasonally, the highest abundance and biomass were observed in winter and autumn, respectively, and the lowest abundance and biomass were observed in spring. There was a significant difference between habitats and seasons (p <0.05). Salinity showed a significant difference between habitats but didn't have seasonal changes. While temperature didn't show a significant difference between habitats, but it had seasonal changes. There was a significant difference between dissolved oxygen levels and pH between habitats and seasons. Significant changes were observed between habitat and seasons in sediment grain size, while the amount of organic matter showed only differences between habitats. Also, analysis of Kendall correlation between environmental factors (temperature, salinity, dissolved oxygen and pH) with abundance and biomass showed that there was a significant correlation between these environmental factors but no significant correlation was observed between abundance and biomass with the amount of organic matter. The results help to better understand the situation of this species in the mangroves ecosystem.
Mehdi Bolouki Kourandeh, Reza Naderloo, Negin Khoroushi, Somayeh Zangiabadi,
Volume 10, Issue 2 (Spatial Issue on Persian Gulf 2021)
Abstract
The Persian Gulf has a different environment for corals compared to other parts of the world. 17 coral islands and some coastal areas in the northern part of the Persian Gulf as well as Chabahar Bay in the Oman Sea are the most important coral regions of Iran. The inaccessibility of coral islands and the dispersion of research have led to inaccurate information on the number of coral reef species identified. In this research, by field study of some coral regions such as Shidvar, Farsi, Kharg, Khargo, Hindurabi and Nayband, as well as collecting studies conducted by other researchers in other coral regions, thorough information about the diversity of coral species identified in the Persian Gulf have been presented. According to studies, the number of species of coral reefs identified in the Persian Gulf waters is 96 species, which by calculating 6 species of coral reefs that are reported only from Chabahar Bay, brings the number of species identified in Iranian waters to 102 species. The identified species are from 13 families and 40 genera, among which, Merulinidae and Acroporidae each with 29 and 23 species, respectively, have the highest diversity in terms of number of species. After these two families, Poritidae with 11 species has more diversity than other families. Among the studied islands, Larak Island has the highest number of species.
Rahil Nozarpour, Mehdi Ghodrati Shojaei, Reza Naderloo,
Volume 11, Issue 4 (12-2022)
Abstract
We studied the abundance, biomass and diet of Platevindex aff. tigrinus in the Hara Biosphere Reserve in the Persian Gulf. The seasonal sampling (two seasons) was conducted in winter 2018 and summer 2019. Samples were collected from six sites in Qeshm Island and Bandar Khamir. To determine the effect of environmental parameters on distribution of the species, temperature, salinity, pH, sediment grain size, total nitrogen and organic carbon were measured at each site. The results showed that the abundance of P. tigrinus was significantly higher in the winter compare to summer season. However, there was no significant difference in the biomass of the species between seasons. The PCA results showed that salinity, temperature and sediment grain size contributed to the separation of between seasons. The pH and total nitrogen followed the similar pattern in different sites and seasons. Although, temperature, salinity, sediment grain size, and organic carbon showed difference between seasons. The results showed that salinity and temperature were two important parameters in the distribution of the species during both seasons. The species was mainly feeding on the microphytobenthos during winter and on the sediment organic matter during summer.
Sedigh Azizi, Reza Naderloo, Adnan Shahdadi, Mohammad Sharif Ranjbar,
Volume 13, Issue 4 (11-2024)
Abstract
Mudflats are situated at the interface between land and sea, transitioning from submerged during high tide to exposed during low tide. For burrowing animals, especially crabs, mudflats serve not only as nesting sites but also as feeding grounds. This study aimed to examine the morphology and estimate the density, of the crab Leptochryseus kuwaitense using their burrows in the mudflats of Khor-Khoran during the winter 2023. For this purpose, the mudflat above the mangroves was divided into three zones: the upper intertidal (station one), the mid-intertidal (station two), and the lower intertidal (station three) zones. The results of the study showed that the number of burrows was higher in the mid-intertidal zone compared to the other two zones, likely due to higher moisture levels and less human pressure. The diameter of the burrow entrances increased from station one to station three, with a significant difference observed between station one and station three . The morphology and structure of the burrows in the lower intertidal zone were more complex, likely due to competition with other species.
Volume 24, Issue 2 (3-2022)
Abstract
The aim of this study was to determine the authenticity of honey by processing microscopic images and obtaining an algorithm for classifying various honey frauds. In this study, sucrose, fructose, and fructose-glucose solution at a ratio of 0.9 were used to make honey adulteration. The level of adulterated honey was based on the weight percentages of 2.5, 5, 7.5, 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100 by stirring. Different samples were imaged under a microscope. Each image was processed in 33 monochrome color spaces and 15 parameters were extracted from it. The three main and effective parameters of various color spaces were selected using sensitivity analysis for modeling honey fraud by adaptive Fuzzy Neural Inference System (ANFIS), Artificial Neural Network (ANN), and response surface methodology. Various criteria were used to evaluate the performance of the models such as coefficient of determination, mean square error, sum of squared estimate of errors, and mean absolute errors. The results showed that the determination coefficient and the mean square error of the artificial neural network model was 0.974 and 0.0024, respectively. Finally, using the desirability function, the artificial neural network model was selected as the best model due to less prediction error values and desirability of 0.948.
Volume 24, Issue 11 (November 2024)
Abstract
The purpose of this study is to investigate the research and factors affecting the crankshaft and analyze it with Abaqus software, which after performing the energy-time diagram analysis shows us the amount of von Mises stress and displacement on the crankshaft surface. The crankshaft is one of the most important and complex parts in any type of engine. The importance of fatigue analysis and life assessment is not hidden from anyone. There are many challenges to crankshaft design, such as vehicle use, lower weight requirements, efficiency and longer life. The crankshaft is subjected to alternating bending and torsional loads during its working life, and its failure causes serious damage to the engine, so its fatigue resistance must be considered in the design. Here, using Abaqus software, we bring the part to the software environment and then perform the force loading and meshing analysis steps and calculate the amount of force applied to the crankshaft
