asoul Tukieh; Heeva Elmizadeh
Abstract
This study used Satellite image processing and GIS to identify and analyze spatial changes and quantify the change in water area of Zarivar Lake in northwestern Marivan. Using satellite imagery to extract information about lake water changes and land use changes, especially in identifying changes between ...
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This study used Satellite image processing and GIS to identify and analyze spatial changes and quantify the change in water area of Zarivar Lake in northwestern Marivan. Using satellite imagery to extract information about lake water changes and land use changes, especially in identifying changes between several different time periods, is faster and more accurate than other methods. This research is based on SVM classification and Landsat satellite image processing of SS, TM and OLI sensors for 1987, 2000, 2010 and 2020 in ENVI software environment. The results showed that the SVM technique works well in identifying and extracting land use and water areas adjacent to vegetation and soil from satellite images. Due to its non-parametric nature and the assumption that it does not follow the normal distribution, this algorithm has a high resolution in differentiating the water area from the plant and soil. So that favorable conditions for classification have been monitored and the identification and detection of water area has been assigned to itself. It also showed high efficiency in areas with low vegetation. According to the research results, the use of SVM technique indicated that the applications have grown a lot in the period under review. This unmanaged development has reduced the lake's water level. As with the growth of these uses, the water level of the lake has been declining. According to the research results, it is suggested that any user development near the lake should be done with full supervision. It is also one of the basic strategies for the protection of the lake and its integrated management.
علوم غیرزیستی دریا
Heeva Elmizadeh; Hadi Mahdipour
Abstract
The purpose of this research is the automatic recognition of morphic patterns of drainage network in the center of Lahijan River using High Resolution Panchromatic Remotely Sensed (HR-PRS) and fuzzy clustering algorithms. It also investigates the efficiency of these methods in the GeoEye-1 satellite ...
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The purpose of this research is the automatic recognition of morphic patterns of drainage network in the center of Lahijan River using High Resolution Panchromatic Remotely Sensed (HR-PRS) and fuzzy clustering algorithms. It also investigates the efficiency of these methods in the GeoEye-1 satellite imagery segmentation of the study area in order to detect geomorphic features. In this regard, fuzzy segmentation of HR-PRS panchromatic images of the study area, after radiometric and geometric preprocessing using FWS, MSA, IDF and CFM algorithms, was performed in MATLAB software. Finally, the studied fuzzy clustering algorithms with fuzzy parameters are applied to the input HR-PRS images and the results are discussed. The results show that the Classical Fusion Method and FCM (CFM) clustering algorithm has the best performance in the field of fuzzy segmentation and detection of the studied indices. This algorithm can also reduce and improve segmentation problems due to the overlap of spectral features between classes of clustering results and well identify spatial phenomena and clusters with different sizes, shapes and densities. As a result, the image borders are well defined. The reason for this is the use of fuzzy numbers as well as efficient clustering methods in this method. These results also show that remote sensing technology, by providing multi-time images, can be a very good basis for monitoring and detecting environmental changes, detecting effects and accurately extracting information from images. Also, the use of clustering algorithms and fuzzy features is a suitable and optimal method for integrating HR-PRS satellite image information from a geographical area with the aim of segmentation.
علوم زیستی دریا
Nasrin Abdolkhanian; Heeva Elmizadeh; Ali Dadolahi Sohrab; Ahmad Savari; Mohammad FayazMohammadi
Abstract
Water resources under threat of pollution such as industrial waste, fertilizers, pesticides and urban sewage that negative effects on the environment and ecosystems. Arvand Rood is one of the most important navigable rivers in Iran, and it’s the most traffic place for floating which don’t ...
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Water resources under threat of pollution such as industrial waste, fertilizers, pesticides and urban sewage that negative effects on the environment and ecosystems. Arvand Rood is one of the most important navigable rivers in Iran, and it’s the most traffic place for floating which don’t have any system for delivery waste materials and discharging these waste materials in water making oil pollution. In this research, modeling pollution in the Arvand River using three-dimensional and hydrodynamic model to simulate how the pollution is studied, the Navier-Stokes equations in three dimensions and equations are solved transfer salinity and water temperature separation method. Boundary conditions applied, including changes in temperature, salinity and flow rate, temperature and salinity changes and apply for open border river and tidal components O1، S2، M2 and K1 open sea in the model used for the border. The results of modeling pollution in Arvand After running the model revealed that the pollution is pollution in the Arvand River according to location and time of release, In other words, in the Arvand River pollution from one point to another and from season to season is different, in fact, pollution is reciprocating mode. Diffusion of oil pollution in Arvand rood is depending to current. And in low tide because of same side of river current with low tide pollution reached to the Persion Gulf with high speed. The results shows, represent the effect of tie on diffusion pollution.
Abstract
Abstract: Jagin river with the formation of a relatively large delta arrive to the Oman Sea. In this paper rely on results based on field survey and index of geomorphic, has been studied morphology and riverbed changes. The purpose of this study is recognition impact of neotectonic in jagin river drainage ...
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Abstract: Jagin river with the formation of a relatively large delta arrive to the Oman Sea. In this paper rely on results based on field survey and index of geomorphic, has been studied morphology and riverbed changes. The purpose of this study is recognition impact of neotectonic in jagin river drainage network. Morphology and behaviour of drainage network, to change from neotectonic is sensitive. Considering the evidence as changes multiple paths in different time periods, crossing the fault line, broad and narrow riverbed, It seems that under the influence of neotectonic active in the region. For achieving results, Geodynamic data, Index geomorphic, Time of Concentration, topographic and geologic maps, aerial photos and satellite images of this area as the main reaserch tools and conceptual and model techniques were used. Then the data through field works by GIS (ArcGIS&ilwis) analysis and effect of tectonic analysed. In this view, between redirected drainage and morphological feature and neotectonic affects has been relationship. Results indicate continuity of the last neotectonic activity in the Study area and displacement Amount of activity is not the same everywhere, and movement is towards the north eastern region. The findings of this research can be useful for the study of impact of neotectonic on riverbed changes.