One of the possible mechanisms to the nervous system growth restriction and behavioral impairment following hypoxia, is oxidative stress. According to the antioxidant effect of fish oil, the present study was designed to investigate the effect of fish oil treatment during chronic hypoxia in pregnancy on memory, brain morphometric changes and oxidative stress in adult rat offspring.

In this study female pregnant rat (Wistar) were used; they were randomly divided into 5 experimental groups: control, sham, hypoxia, fish oil and hypoxia groups treated with fish oil. Hypoxia with 10% oxygen and 90% nitrogen intensity was applied. Fetal brain morphometry was examined on the 15th and 20th day of pregnancy and the 30-day-old offspring. Passive avoidance memory and oxidative stress parameters were examined in the 30-day-old rat offspring.

The brain weight average in the 15 and 20 day-old fetuses and 30-day-old offspring of the hypoxia group was significantly lower than the sham group (P<0.05). Memory results evaluation indicated that the avoidance memory was significantly decreased in hypoxia group compared to the sham group (P<0.05). Oxidative stress also increased significantly in the 30-day-old offspring of the hypoxia group compared to the sham group and fish oil treatment prevented the reduction of these parameters (P<0.05).

According to these results, Fish oil treatment during chronic hypoxia in pregnancy can be attenuate fetal brain restriction, oxidative stress and memory impairment following hypoxia.

The morphometric characteristics show the morphology of the basins and reflect the geological conditions and geomorphological processes over time (Hurters et al., 1999).Different morphometric characteristics depend on various aspects such as geology, geomorphology, vegetation, climate, etc. (Rapot et al., 2015).The morphometric characteristics of the basin are important in hydrological research such as groundwater potential assessment, groundwater management, basin management, and environmental assessment (Raymond et al., 2017).In recent decades, due to the advancement of computer technology, morphometric studies of the basin are very convenient for the past.The use of GIS and the use of DEM is a precise, quick and inexpensive method for analyzing hydrologic systems (Schmidt and Sandwall, 2004).The Kamyaran basin has a different lithological diversity and different tectonic conditions in different areas of the basin.The geomorphologic conditions of the basin in the southern heights are mainly karstic and in the northern regions of irregular slopes with low permeability.Therefore, the purpose of this research is to identify morphometric effects on groundwater resources of Kamyaran basin.

In this study, first, using a 10 meter DEM of the basin and utilizing the Arc Hydro tool, the limits of Kamyaran basin and drainage network of the basin were plotted.The Australian method was used to rank the watercourses and use topographic maps of 1: 25000 of the area for the accuracy of the watershed network.Seven parameters of linear morphometry, seven morphometric parameters and three morphometric parameters for rippling were calculated for Kamyaran basin.Based on the results obtained from morphometric parameters and geological and geomorphological conditions analysis and their adaptation to the distribution pattern of spring springs and their average annual discharge rate, the effects of morphometric characteristics on groundwater resources are determined.DEM 10 meters, topographic maps 1: 25000, geological map of 1: 100000, and Dubai springs sources are the data used in this study.

The drainage pattern of the Kamyaran basin is dendritic or tree type, and the drainage of the basin is rated 7.The total number of streams in the Kamyaran Basin is 29,776 and the first ones constitute 78% of the total catchment of the basin, indicating a low permeability of the basin.The split ratio of Kamyaran basin is 4.5 and indicates the lithological diversity of the basin.The total length of Kamyaran basins is 2446 km. Routes 1 make up about 61% of the total length of the basin drainage.Abrasives ranked 1 make up about 61% of the total length of the basin drainage. This is due to low-lying reservoir permeability.Also, the difference in mean length of the waterways was due to topographic conditions and slope of the watershed, since the values of the ratio of the length of different river runs to different ranks of the order did not show, The Kamyaran Basin is erosion in the younger stages of the erosion cycle.The drainage rate of the Kamyaran basin is 2.61 Km / Km2, which indicates the low permeability of the basin.Drainage density in the karstic areas in the south of the basin is 1.15, indicating a very suitable permeability of this area.The drainage flood in the Kamyaran basin 3.18, which confirms the high drainage density and low permeability in the basin.The rate of this parameter in the southwestern Karst regions of the basin is 1.02, which indicates high permeability and low drainage density.The drainage tissues of the Kamyaran Basin in the southwestern Karst regions of the basin are very coarse tissue and in other areas of very small type.The penetration number in the Kamyaran basin is 8.29 and 11.44, which indicates low penetration and high runoff coefficient.In the south karst area, the basin has a penetration number of 1.73, indicating high permeability and low runoff coefficient.The shape coefficients of the basin represent a relatively circular shape of the basin and high runoff coefficient.The roughness parameters also indicate significant difference in the height in the basin and as a result of rugged topography and relatively leaky and therefore low permeability.Groundwater potential of Kamyar basin is affected by morphometric conditions in the basin.The northern and central areas of the low power basin and the southern basins of the southwest basin have a high potential for underground water resources.

The most characteristic feature of the Kamyaran basin is the lithological diversity followed by different geomorphological conditions in different areas of the basin.The lithological diversity and variation of Kamyaran basin affect the values of linear morphometric parameters of the basin.In the impervious areas of the basin, the runoff coefficient is high and the penetration rate is lower and the conditions in the karstic areas are reversed.These differences are due to lithology conditions and heterogeneous geomorphology of the basin.Analysis of the values obtained from the three-dimensional morphometric, linear, shape and roughness parameters of the Kamyaran basin indicates that the lithologic conditions are very influential on morphometric parameters.The studied basin is also affected by lithological conditions in groundwater resources in the northern and central parts of the basin with low potential for underground water resources.The formation of karst geomorphology in the southern heights of the basin, by influencing the morphometric parameters and increasing the penetration rate, has created a high potential for groundwater resources and formed 5 karst springs in the south of the basin.

The concept of morphometry involves the measurement and numerical analysis of land surface, shape, dimensions and form of land. In relation to flooding, watershed morphometry includes quantitative indicators describing watershed physical characteristics that control the pattern and quantitative characteristics of floods such as amount, time of occurrence, delay time, and flow hydrograph. Unusual development of cities due to population growth and consequent land use change has caused disruption of hydrological balance and increased flooding of basins. The purpose of this study was to prioritize the sub-catchments of Zab River based on a novel combination of morphometric analysis and statistical correlation and zoning of flood potential under sub-catchments.

to disregard for human and social sub-basins, which has a great impact on the hydrological processes of the catchment. Based on the validation results, the Shinabad and Sufian basins have the highest priority, and the new method of morphometric analysis and statistical correlation have considered them the highest priority for managers' attention.The elongation ratio helps to understand the hydrological characteristics of the drainage basin and ranges from 1 for circular basins to 0 for extended basins and its high values ​​indicate the shape of the basin circle, high peak discharge and high flood potential. Is. The values ​​of tensile strength in all sub basins are more than 0.5 and indicate high potential for flooding. Straller (1964) considers the circle ratio a quantitative measure for visualizing the shape of the basin. High values ​​of this parameter indicate circular shape, high to medium ruggedness and low permeability in the basin, which causes peak discharge in less time. The ratio of the circular ratios under the Lavin Tea Basins is 0.17, Copar 0.19, and Zab Small 0.27, indicating relatively low flooding potential in this parameter. The amount of this parameter is 0.35 under Shinabad basin and 0.31 under Sufian basin which indicates their higher flood potential in this parameter (Table 7). The branching ratio is an important parameter affecting peak runoff hydrograph discharge with high values ​​indicating high instantaneous discharge and flood event. The mountainous and steep areas have a split ratio of 3 to 4. Branching ratio values ​​indicate low flooding potential except for Shinabad basin which shows this ratio of 6.19 and this ratio indicates high flood potential
 

Since hydrological units are based on morphometric parameters to prioritize flood mapping, firstly, using channel networks and elevation curves, topographic maps of 1: 50000 and digital elevation data are analyzed. The boundaries of the hydrological units became. Then, because the catchment morphological parameters have different effects on soil erosion processes and runoff formation, prioritization of the sub-basins was done in a new way based on the difference of morphological parameters and statistical correlation analysis between them. Morphometric parameters were calculated for all sub-basins in GIS software. Then, statistical correlation of morphometric parameters was performed based on the t-Kendall method using SPSS software. Based on the correlation matrix we can analyze the relationship between the parameters and define the relative weight for each parameter without All twelve variables including circular elongation ratio, branching ratio, flow frequency, drainage density, drainage texture, compaction index, shape factor, mean slope, roughness ratio, roughness, and roughness number for all sub-basins are calculated in Table 2. The Kendall correlation coefficient was used to investigate the relationship between Validation results showed that the new method of morphometric analysis and statistical correlation did not perform well in prioritizing all sub-basins, but this method was accurate in identifying the most priority sub-basins (most acute conditions). The reason for this may be due to the lower performance of morphometric analysis and the characterization of waterways in low-slope catchments. Also, the precise reason for not estimating the priority of some sub-basins is due.

The selected twelve parameters are directly related to runoff and flood potential. Therefore, high values ​​of parameters have a direct relationship with runoff and flood potential due to their greater impact on the selected twelve parameters. Indicator (Cv) values ​​for each sub-basin are obtained from averaging of 12 indices and accordingly sub-basins of Shinabad and Sufis with high flood potential, sub-basin with small potential and sub-basin zab basin. Copar and Lavin Tea have physiographic and morphometric characteristics of the sub-catchments have a great influence on flooding and hydrological behavior, it is possible to study the status and potential of flooding below the catchments. In this research, in order to potential of flooding, firstly, Zab sub-basins were prioritized based on the new method of morphometric analysis and statistical correlation. Based on this method, the results showed that the Shin abad and Sufi basins are the top priority for the implementation of management measures to ensure.