فهرست مطالب

نشریه علوم و فنون نقشه برداری
سال دوم شماره 1 (پیاپی 5، امرداد 1391)

  • تاریخ انتشار: 1391/05/10
  • تعداد عناوین: 8
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  • A. A. Ardalan, F. Ahmadi, Givi, M.H. Rezvani Page 1
    The quality control of employed instruments, such as multibeam sonar systems, is one of the important issues in hydrographic surveying. According to the IHO standards, the accuracy of multibeam systems must be controlled for their performance at the beginning of every hydrographic project. The field evaluation of multibeam accuracy depends on seafloor topography, environmental condition, and sensors locations. In this contribution, a new method for determination of the random and systematic errors of multibeam systems is presented. According to the introduced method, the multibeam accuracy is estimated as a function of beamwidth, by comparison with a reference surface along some check-lines. After that, one can find out up to which beamwidth the accuracy of a multibeam sonar system can satisfy the international standards. As the case study, the presented method is applied to control 100-KHz-ATLAS FS20 multibeam sonar system mounted on 27 m survey vessel of national geographic organization (NGO) of Iran, at offshore areas around Kish Island. The results confirmed that the tested multibeam system fulfills the required accuracy for all kind of hydrographic projects according to IHO, USACE, and IMCA standards up to 75° beamwidth.
    Keywords: Sonar multibeam system, Field accuracy assessment, IHO, IMCA, USACE
  • M. Hashemi, A. A. Alesheikh Page 9
    The management of earthquake damages plays a crucial role in sustainable development of a society and results in preparedness and mitigation of losses. The densely populated city of Tehran, Iran, coupled with the fragility of houses and infrastructure, highlight the necessity of a reliable earthquake damage assessment, preparedness against earthquake and planning for losses mitigation. This paper attempts to identify appropriate sites for constructing earthquake shelters based on land-use, demographic and street network data. Next, each building is assigned to the nearest shelter. Finally, all people in the study area are assigned to a shelter, even though the capacity of shelters is limited. In the proposed algorithm, first the distance matrix of parcels with a public usage is formed. Then, some solutions are presented as appropriate alternatives for shelter construction based on the distance matrix. Finally, the alternatives are ranked based on: a) the minimum variance of shelters’ populations, and b) the minimum total distances of shelters from each other, i.e., the number of shelters is minimum. After verification of all public parcels in the study area only eighteen of them had enough area to be considered as an option. The implementation of proposed algorithm generated four solutions for constructing shelters. Finally, these four alternatives were ranked based on the weighted average of two above criteria. Considering the efficiency of the proposed algorithm in the study area, it may be usable for other regions.
    Keywords: Earthquake shelter, Site selection, Geographic information systems, Multi, criteria decision making methods, Street network
  • N. Khavaninzadeh, M. Motagh, M.A. Sharifi Page 19

    Several landslides occur every year in the world, causing great damage to infrastructure and loss of life. Detection and monitoring of landslides is very important for implementing appropriate mitigation measure to reduce the loss of life and damage to property. Iran is prone to huge landslides due to its special continental conditions, topographic and tectonic situation and climate conditions. In this investigation, we use the technique of Interferometry Synthetic Aperture Radar (InSAR) to detect and monitor landslides in Taleghan region. The results are obtained from processing of 23 ASAR images acquired in the region by the Envisat satellite. We show evidence for several creeping landslides and obtain their deformation history between 2003 and 2009 via InSAR time-series analysis. We also report on our field investigation that we did to check the results of InSAR analysis.

    Keywords: Landslide, gravity, Interferometry synthetic aperture radar, Armout, Haranj, monitoring, ASAR
  • A. Ramezani, M. R. Malek, N. Mohammadi Page 35
    Nowadays, regarding to the increase in traffic and so the decrease in operation efficiency and service efficiency, it is required to optimize in spatial and temporal parameters in airport. The main innovation in this research is, locating equipment parking area with airport services optimized allocation in two different service situations. One that service car returns to its Equipment Parking Area after serving service and in other situation service car parks in Equipment Staging Area. For finding best answer, two object functions with median and covering problems was considered. EPA stations that minimize mentioned object function was located as well. Purposed method in other time interval could be used to locating optimized EPA and reduce expenditures and traffic and best using of available spaces. Purposed method implemented in Imam Khomeini airport and result indicates efficiency of purposed method in reduce traffic and expenditure.
    Keywords: Location Allocation, Equipment Parking Area, Airport, Median, Covering problems
  • P. Pahlavani, M. R. Delavar Page 45
    In this study, some different approaches are designed, implemented, and evaluated to solve a multi-criteria path optimization problem based on a driver’s preferences in multi-criteria route selection using a locally linear neuro-fuzzy model (LLNFM) with an incremental tree based learning algorithm combined with a multi-objective genetic algorithm. Using our designed neuro-fuzzy toolbox, the driver’s preferences in multi-criteria route selection such as the number of output classes and the routes in each output-class were received. Next, some approaches were proposed to classify each route based on the mentioned preferences chosen by the driver. Finally, the trained LLNFM-based models were utilized to classify Pareto-optimal paths obtained by applying a multi-objective genetic algorithm between an origin and a destination within the most dense-part of Tehran transportation network, i.e., districts 6,7,11, and 12, based on the driver's preferences in multi-criteria route selection. The results show the validity of the proposed approaches used to solve a multi-criteria path optimization problem based on a driver’s preferences in multi-criteria route selection.
    Keywords: Multi, criteria path optimization problem, multi, criteria route selection, Locally Linear Neuro, Fuzzy Model, Genetic algorithm
  • S. Kiaei, J. Asgari, M. Abbasi Page 59

    In order to Ionospher behavior monitoring and obtain periodic Ionospher global range, spectral analysis on data models that contain Ionospher TEC values are carried. These ionospheric models are obtained from processing of dual GNSS receivers data. These maps cover the whole earth, and consist of 73 × 71 points. According to data of over 12 years, 152 days of 1998 to the last day of 2010, the suitable time series for processing on a regular network is producedSpectral analysis was performed on the time series and main periodic ranges are calculated. The main periodic ranges: the period of the third day, half daily, daily, 27- daily, quarterly, half-yearly, annual and 3/11 years old. The relation between these periodic ranges with phenomena such as periodic and translational motions of Earth and its magnetic fields, and the solar activity is clear. On the other hand, some periodic ranges are calculated that there are no good physical reasons for them. However, this component could be due to clutter spectrum of data in Spectral leakage. In order to understand the behavior and the changes in periodic ranges, the profiles of their normalized spectra are studied in points with same latitude or longitude.

    Keywords: Global Navigation Satellite System (GNSS), Ionospher, Ionospheric Models, TEC
  • M. Salemi, A. Bahroudi, M. Talaei Page 69
    A fuzzy predictive model is compatible with the multiclass and continuous nature of geodata and can properly handle inherent informational fuzziness in most geodata. Although the fuzzy based approaches are been used by different researchers and varied deposits, the structure and pattern of these method were almost similar. In this study, we produce a mineral potential map for the porphyry copper mineral deposit of Nochoun, south east of Iran. In order to improve the conventional methods, we used a fuzzy inference system (FIS) for preparing geophysical and geochemical factor maps. These factor maps are integrated by an appropriate inference networks and mineral potential map was produced. Results of the prepared mineral potential map are in a good accordance with drilling data (80.7 % in 5 class and 87.1 % in 3 class classification). Also, using FIS in preparing factor maps, has improved the compatibility of mineral potential map, (almost 10% in 3 classes and 7 % in 5 classes classification).
    Keywords: Fuzzy inference system, Mineral prospecting, Mineralization factors, Prophyry
  • A. Jomegi, A. Safari Page 85
    Gravity field Modeling without applying of stokes's formula, requires knowledge of crust mass density for modeling of residual topography effect. However, in practice the constant density (2.67 g/cm3) is mostly used to approximate the actual density because of the difficulty and complexity of obtaining the actual density. In this paper, the effect of crust density on geoid height is studied by computation of precise geoid with gravity observation on Coastal Pars by constant density and Digital Density Model was estimated from the geological information. The numerical results shows, the accuracy of precise geoid are computed by actual Digital Density Model improve up to 25 cm in Coastal Pars.
    Keywords: Geoid, downward continuation, Bruns transformation, gravity field, Digital Density Model, Boundary Value Problem, Regulation