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Hong Haoyuan Shahabi Himan Shirzadi Ataollah Chen Wei Chapi Kamran Ahmad Baharin Bin Roodposhti Majid Shadman Yari Hesar Arastoo Tian Yingying Tien Bui Dieu 《Natural Hazards》2019,96(1):173-212
Natural Hazards - The aim of this research is to investigate multi-criteria decision making [spatial multi-criteria evaluation (SMCE)], bivariate statistical methods [frequency ratio (FR), index of... 相似文献
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Scott M. Mackaro Richard T. McNider Arastoo Pour Biazar 《Pure and Applied Geophysics》2012,169(3):401-414
Skin temperatures that reflect the radiating temperature of a surface observed by infrared radiometers are one of the most
widely available products from polar orbiting and geostationary satellites and the most commonly used satellite data in land
surface assimilation. Past work has indicated that a simple land surface scheme with a few key parameters constrained by observations
such as skin temperatures may be preferable to complex land use schemes with many unknown parameters. However, a true radiating
skin temperature is sometimes not a prognostic variable in weather forecast models. Additionally, recent research has shown
that skin temperatures cannot be directly used in surface similarity forms for inferring fluxes. This paper examines issues
encountered in using satellite derived skin temperatures to improve surface flux specifications in weather forecast and air
quality models. Attention is given to iterations necessary when attempting to nudge the surface energy budget equation to
a desired state. Finally, the issue of mathematical operator splitting is examined in which the surface energy budget calculations
are split with the atmospheric vertical diffusion calculations. However, the high level of connectivity between the surface
and first atmospheric level means that the operator splitting leads to high frequency oscillations. These oscillations may
hinder the assimilation of skin temperature derived moisture fluxes. 相似文献
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Haoyuan Hong Aiding Kornejady Adel Soltani Seyed Vahid Razavi Termeh Junzhi Liu A-Xing Zhu Arastoo Yari hesar Baharin Bin Ahmad Yi Wang 《Earth Science Informatics》2018,11(4):605-622
The present study is aimed at producing landslide susceptibility map of a landslide-prone area (Anfu County, China) by using evidential belief function (EBF), frequency ratio (FR) and Mahalanobis distance (MD) models. To this aim, 302 landslides were mapped based on earlier reports and aerial photographs, as well as, carrying out several field surveys. The landslide inventory was randomly split into a training dataset (70%; 212landslides) for training the models and the remaining (30%; 90 landslides) was cast off for validation purpose. A total of sixteen geo-environmental conditioning factors were considered as inputs to the models: slope degree, slope aspect, plan curvature, profile curvature, the new topo-hydrological factor termed height above the nearest drainage (HAND), average annual rainfall, altitude, distance from rivers, distance from roads, distance from faults, lithology, normalized difference vegetation index (NDVI), sediment transport index (STI), stream power index (SPI), soil texture, and land use/cover. The validation of susceptibility maps was evaluated using the area under the receiver operating characteristic curve (AUROC). As a results, the FR outperformed other models with an AUROC of 84.98%, followed by EBF (78.63%) and MD (78.50%) models. The percentage of susceptibility classes for each model revealed that MD model managed to build a compendious map focused at highly susceptible areas (high and very high classes) with an overall area of approximately 17%, followed by FR (22.76%) and EBF (31%). The premier model (FR) attested that the five factors mostly influenced the landslide occurrence in the area: NDVI, soil texture, slope degree, altitude, and HAND. Interestingly, HAND could manifest clearer pattern with regard to landslide occurrence compared to other topo-hydrological factors such as SPI, STI, and distance to rivers. Lastly, it can be conceived that the susceptibility of the area to landsliding is more subjected to a complex environmental set of factors rather than anthropological ones (residential areas and distance to roads). This upshot can make a platform for further pragmatic measures regarding hazard-planning actions. 相似文献
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Reza Khandan Seyed Kazem Alavipanah Arastoo Pour Biazar Maryam Gharaylou 《Asia-Pacific Journal of Atmospheric Sciences》2018,54(3):431-443
Geostationary satellites are able to nowcast Convective Initiation (CI) for the next 0–6 h. Compared to using satellite predictors only, the incorporation of satellite and Numerical Weather Prediction (NWP) predictors can provide the possibility to reduce false alarm rates in 0–1:30 Convective Initiation Nowcasting (COIN). However, the correlation among these predictors not only can cause error in COIN, but also increases the runtime. In this study for the first time, all effective predictors in Satellite Convection Analysis and Tracking version 2 (SATCASTv2) and NWP were applied over Iran from 22nd March 2015 to 9th January 2016. In applying SATCASTv2 over Iran, it was necessary to make some modifications to the algorithm, such as removing case specific thresholds of satellite predictors and rearranging COIN predictors. Then, SATCASTv2 was tested and evaluated with both the full and reduced set of predictors. The results suggested that using fixed thresholds for temporal difference predictors could miss COIN in some cases. To investigate the possibility of improving computational efficiency, a dimension reduction was conducted by Factor Analysis (FA) and the number of predictors was reduced from 22 to 11. The NWP-satellite, reduced NWP-satellite, and satellite predictors were used as input in Random Forest (RF), as a parametric machine learning method, for COIN evaluation. The Combination of NWP model and satellite predictors had lower false alarm rates in contrast with satellite predictors. This is in agreement with previous studies. The results from statistical metrics showed that the reduced NWP-satellite predictors had comparable performance to the NWP-satellite predictors over study area, but decreased the run time by almost 50%. The results indicated that Convective Inhibition (CIN) was the most significant predictor when the reduced set of predictors was used. 相似文献
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Ercan Yüksel Faruk Karadoğan Hasan Özkaynak Arastoo Khajehdehi Ahmet Güllü Eleni Smyrou İhsan Engin Bal 《Bulletin of Earthquake Engineering》2018,16(2):707-729
Mild steel is relatively low-cost and easily accessible material to fabricate some structural members. It would be a significant advantage if seismic energy dissipaters that are used in structures constructed in the earthquake prone areas, could also be produced on site. In this paper, a promising seismic energy dissipater made of mild steel, so-called steel cushion (SC) is presented. It is provided experimental and analytical responses of SCs subjected to bi-axial loadings. SC rolls under the lateral loading that allows relocation of the plasticized cross-section. Henceforth, SC dissipates considerable amount of seismic energy. A series of tests were performed to achieve experimentally the behavior of SC subjected to longitudinal and transversal loading. Finite Element Models (FEMs) were also generated to reproduce the experimental backbone curves and to predict the bi-directional response properties for discrete transversal forces and plate thicknesses. Closed-form equations were derived to determine yield and ultimate forces and the corresponding displacements as well as location of the plasticized sections. The behavior of SC could either be projected by the FEMs with the exhibited parameters or by means of the proposed closed-form equations and the normalized design chart. 相似文献
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