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RISS 인기검색어
- 검색키워드
- 저자 : Mohammad Reza Mansouri Daneshvar (검색결과 2 건)
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Remote sensing analysis of unknown origin of a crater in western Yemen
Mohammad Reza Mansouri Daneshvar,Hamid Nejadsoleymani 대한공간정보학회 2017 Spatial Information Research Vol.25 No.4
The present study aims to detect unknown origin of a terrestrial structure in western Yemen based on the remote sensing procedure in order to enhance scientific database on the possible impact craters in the Middle Eastern countries. On this basis, a crater-shaped structure, named as Salab crater, was detected with a diameter of ~3.2-km. Topographical study indicated a circular morphology with two rings. Interior ring has a diameter of ~1-km and depth of ~100-m, while exterior ring has a diameter of ~2.2-km and depth of ~400-m. According to the geological data, the crater environ mainly has the different units outcropped of the Jurassic Amran limestone, the Cretaceous Tawilah sandstone, and the late Oligocene to early Miocene volcanic groups and intrusions. We indicated that the Salab crater is entirely located on Jurassic limestone of Amran group bedrocks with poor aquifer, low potential of water productivity and impure limestone deposits. Hence, the Salab crater could not be categorized as a volcanic crater or a karstic product. In addition, it could not be the remained from a salt-dome or a certain active hydrothermal pattern of springs. Nevertheless, to distinguish of the crater from old and fossil travertine crater or a possible impact crater, a detailed field work and a petrology investigation should be considered.
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Geo-statistical modeling of mean annual rainfall over the Iran using ECMWF database
Robab Razmi,Saeed Balyani,Mohammad Reza Mansouri Daneshvar 대한공간정보학회 2017 Spatial Information Research Vol.25 No.2
In the present study, the main aim was the spatial evaluation annual rainfall of Iran based on the European Centre for Medium Range Weather Forecast (ECMWF) database. An attempt, using geo-statistical modeling by ordinary least squares (OLS) and geographically weighted regression (GWR) procedures, was also made. The results represented that the GWR model with higher S2, lower residuals without spatial autocorrelation effect and lower RMSE is an optimized geo-statistical model for rainfall modeling of Iran based on ECMWF gridded database. This model can explain spatio-temporal rainfall distribution in Iran in a diversified topographical and geographical background. This model revealed that two high mountain ranges of Zagros and Alborz in west and north, respectively, strikingly affect the temporal and spatial patterns of rainfall. Therefore, the statistical correlation matrix revealed that Iranian rainfall data is dominantly depended on geographical latitude and topographical altitude/slope with 0.56 and 0.32 correlation coefficients, respectively.
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