Classifying GRB 170817A/GW170817 in a Fermi duration–hardness plane     

I. Horváth  B. G. Tóth  J. Hakkila  L. V. Tóth  L. G. Balázs  I. I. Rácz  S. Pintér  Z. Bagoly 《Astrophysics and Space Science》2018,363(3):53

GRB 170817A, associated with the LIGO-Virgo GW170817 neutron-star merger event, lacks the short duration and hard spectrum of a Short gamma-ray burst (GRB) expected from long-standing classification models. Correctly identifying the class to which this burst belongs requires comparison with other GRBs detected by the Fermi GBM. The aim of our analysis is to classify Fermi GRBs and to test whether or not GRB 170817A belongs—as suggested—to the Short GRB class. The Fermi GBM catalog provides a large database with many measured variables that can be used to explore gamma-ray burst classification. We use statistical techniques to look for clustering in a sample of 1298 gamma-ray bursts described by duration and spectral hardness. Classification of the detected bursts shows that GRB 170817A most likely belongs to the Intermediate, rather than the Short GRB class. We discuss this result in light of theoretical neutron-star merger models and existing GRB classification schemes. It appears that GRB classification schemes may not yet be linked to appropriate theoretical models, and that theoretical models may not yet adequately account for known GRB class properties. We conclude that GRB 170817A may not fit into a simple phenomenological classification scheme.  相似文献   

Filtration and Clogging Behavior of Geotextiles with Roorkee Soils     

Bal Krishna Maheshwari  Deepak A. Gunjagi 《Geotechnical and Geological Engineering》2008,26(1):101-107

Geotextile filters are rapidly replacing graded granular filters as the standard of practice in geotechnical design. The objective of the present study is to predict the behavior of the geotextile filter for the locally (Roorkee—India) available soils using three different geotextiles (two nonwoven and one woven). Nonwoven geotextiles are commonly used in filtration applications. This paper evaluates the long-term performance of two needle-punched nonwoven geotextiles and one woven geotextile. Filtration tests on soil–geotextile filter systems were conducted in the laboratory in order to evaluate the filtration and clogging behavior. Laboratory test program, include evaluation of performance of two different nonwoven and one woven geotextile filters in combination with locally available Solani River Sand and Clayey Soil. The paper describes the concept and details of the Fine Fraction Filtration (F³) test and presents data on three different geotextiles, which were evaluated using three different soil types. It is deduced that in all filtration applications, the non-woven geotextile would perform better than the woven geotextile.  相似文献   

Review on the macro-modeling alternatives and a proposal for modeling coupling beams in tall buildings   总被引：1，自引：1，他引：0  

A. Emre Toprak  İhsan Engin Bal  F. Gülten Gülay 《Bulletin of Earthquake Engineering》2015,13(8):2309-2326

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Erratum to: Climate change projections over India by a downscaling approach using PRECIS     

Prasanta Kumar Bal  Andimuthu Ramachandran  Kandasamy Palanivelu  Perumal Thirumurugan  Rajadurai Geetha  Balakrishnan Bhaskaran 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):519-519

The author “Bhaski Bhaskaran” and his affiliation “Fujitsu Laboratory of Europe, Middlesex, UK” should be replaced by “Balakrishnan Bhaskaran”, “Fujitsu Laboratories of Europe Limited, Hayes Park, Middlesex, UK”, respectively.The corrected name and affiliation are shown in this erratum.  相似文献   

Enhanced residual mean circulation during the evolution of split type sudden stratospheric warming in observations and model simulations     

Sourabh Bal  Semjon Schimanke  Thomas Spangehl  Ulrich Cubasch 《Journal of Earth System Science》2018,127(5):68

Residual mean circulation changes during the evolution of sudden stratospheric warming (SSW) are investigated by composite analyses of 76 major warming events identified in a present day simulation performed with a coupled ocean–troposphere–stratosphere model from 299 winters. Their dynamical signatures are compared with the 17 SSW events identified from 35 years of Era-Interim data. The main difference is that, relative frequency of simulated SSW events is smaller than that obtained from reanalysis. SSW events are classified as displacement or split events based on the geopotential field values at 10 hPa. The geopotential field values identify 10 and 3 split events in simulation and observation respectively. The model quite accurately simulates some of the dynamical features associated with the major SSW. Residual mean circulation induced by EP-flux divergence, sum of advection and residual forcing are stronger in split events than in displacement type SSW has been confirmed by both simulation and observation. Moreover, the contribution of EP-flux divergence or planetary wave forcing is larger than the contribution of other types of forcing.  相似文献   

基于主导生态功能的江西省国土空间生态修复分区研究     

蔡海生  查东平  张学玲  陈艺  曾珩  邵晖  洪土林 《地学前缘》2021,28(4):55-69

以地域分异特征、主导生态功能、典型生态问题为基础依据,探讨江西省国土空间生态修复分区,为江西省编制和实施生态修复规划、实现国土空间管控提供科技支撑。在研究方法上,以“生命共同体理论”“三生协调理论”“适宜性管理”等理论为指导,基于主体功能区划和生态功能区划,综合“三生”空间实际生态问题及综合整治需求,采用多因素综合空间分析法,“自上而下”和“自下而上”相结合,实现国土空间生态修复三级分区。研究结果表明,可将江西省国土空间生态修复区域划为赣北平原湖泊生态修复区、赣中丘陵盆地生态修复区、赣西山地丘陵生态修复区、赣南山地丘陵生态修复区、赣东丘陵山地生态修复区5个大区及24个亚区和42个修复小区。通过江西省国土空间生态修复三级分区,摸清国土空间地域特征,明确生态主导功能,确定生态修复重点区域,承上启下,为实施生态修复工程和国土空间管治提供决策依据,为实现国土空间整体保护、系统修复、综合治理提供科技途径。  相似文献   

Paleo-uplift and cooling rates from various orogenic belts of India, as revealed by radiometric ages—reply (1)     

Kewal K. Sharma  K.D. Bal  Rajinder Prashad  Nand Lal  K.K. Nagpaul 《Tectonophysics》1984,107(1-2)

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A New Approach for Border Detection of the Dumluca (Turkey) Iron Ore Area: Wavelet Cellular Neural Networks     

A. Muhittin Albora  Abdullah Bal  Osman N. Ucan 《Pure and Applied Geophysics》2007,164(1):199-215

Anomaly analysis is used for various geophysics applications such as determination of geophysical structure's location and border detections. Besides the classical geophysical techniques, artificial intelligence based image processing algorithms have been found attractive for geophysical anomaly analysis. Recently, cellular neural networks (CNN) have been applied to geophysical data and satisfactory results are reported. CNN provides fast and parallel computational capability for geophysical image processing applications due to its filtering structure. The behavior of CNN is defined by two template matrices that are adjusted by a properly supervised learning algorithm. After training stage for geophysical data, Bouguer anomaly maps can be processed and analyzed sequentially. In this paper, CNN learning and processing capability have been improved, combining Wavelet functions and backpropagation learning algorithms. The new architecture is denoted as Wavelet-Cellular Neural networks (Wave-CNN) and it is employed to analyze Bouguer anomaly maps which are important to extract useful information in geophysics. At first, Wave-CNN performance is tested on synthetic geophysical data, which are created by a computer environment. Then, Bouguer anomaly maps of the Dumluca iron ore field have been analyzed and results are reported in comparison to real drilling results.  相似文献   

Results of surface ozone monitoring in the atmosphere over Ulan-Ude     

A. S. Zayakhanov  G. S. Zhamsueva  V. V. Tsydypov  T. S. Bal’zhanov 《Russian Meteorology and Hydrology》2013,38(12):846-852

Presented are the results of surface ozone monitoring in the atmosphere over Ulan-Ude during the period from 2000 to 2012. Revealed are seasonal and diurnal variations of surface ozone. The analysis of the seasonal variability of surface ozone concentration indicates the presence of the clearly pronounced maximum in spring-summer period. A statistical model of forecasting single concentrations of the surface ozone is considered using the multiple regression analysis. Temperature, relative humidity, wind direction, wind speed, turbulence factor, temperature gradient, velocity of vertical flow, and concentrations of minor gas admixtures such as nitrogen oxides are used as predictors. Analyzed are statistical relationships, where observed ozone values are presented in the form of the regression function of the most significant predictors.  相似文献   

Modification of a Parametrization of Shallow Convection in the Grey Zone Using a Mesoscale Model     

Dávid Lancz  Balázs Szintai  Rachel Honnert 《Boundary-Layer Meteorology》2018,169(3):483-503

In current operational numerical weather prediction models, the effect of shallow convection is parametrized. The grey zone of shallow convection is found between the horizontal resolutions of mesoscale numerical models (2–3 km) and large-eddy simulations (10–100 m or finer). At these horizontal scales the shallow convection is to some extent explicitly resolved by the model. The shallow-convection parametrization is still needed, but has to be regulated according to the model horizontal resolution. Here the behaviour of the non-hydrostatic mesoscale numerical weather prediction model Application of Research to Operations at Mesoscale is examined in the grey zone and a new scale-adaptive surface closure of its shallow-convection parametrization, dependent on horizontal resolution, is defined based on large-eddy simulation. The new closure is tested on a series of numerical experiments and validated on a 15-day-long real case period. Its impact on the development of deep convection is examined in detail. The idealized simulations show promising results, as the mean profiles of the subgrid and resolved turbulence change in the desired way. Based on the real case tests our modification has a low impact on model performance, but is part of a set of upgrades of the current parametrization that is aimed to treat the shallow convection grey zone.  相似文献