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1. A method of quantitative analysis based on deviation coefficient and sliding time window | |||
ZHANG Zhanyang,YANG Guohua,SUN Qikai,ZHANG Junqing,HE Yadong | |||
Surveying and Mapping Technology 27 December 2019 | |||
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Abstract:In order to scientifically and accurately describing the shape of deviation distribution curve of the short-level segment data of seismostation, this paper used deviation coefficient and sliding time window to analyze and summarize trends of deviation distribution curves of 2-3(k) segment of Chaoyang seismostation quantitatively before and after Chaoyang M4.6 and M4.3 earthquakes on May 22, 2016: general data anomalies caused by crustal deformation reveal the deviation coefficients get larger and the shapes of deviation distribution curves of the segment deviate from normal distribution before the earthquake, and the deviation coefficients get smaller and the shapes of deviation distribution curves of the segment restore to normal distribution after the earthquake. Then preliminary analysis of earthquake risk near the seismostation was made based on recent data. As a result, the figures prove that this quantitative analysis method has reference valuable for data anomalies recognition before earthquake to a certain extent, which also provides a new way of research for earthquake monitoring and prediction analyzing. | |||
TO cite this article:ZHANG Zhanyang,YANG Guohua,SUN Qikai, et al. A method of quantitative analysis based on deviation coefficient and sliding time window[J]. |
2. An integrated GIS application system for soil moisture data assimilation | |||
WANG Di,SHEN Runping | |||
Surveying and Mapping Technology 16 July 2014 | |||
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Abstract:The gaps in knowledge and existing challenges in precisely describing the land surface process make it critical to represent the massive soil moisture data visually and mine the data for further research.This article introduces a comprehensive soil moisture assimilation data analysis system, which is instructed by tools of C#, IDL, ArcSDE, Visual Studio 2008 and SQL Server 2005. The system provides integrated service, management of efficient graphics visualization and analysis of land surface data assimilation. The system is not only able to improve the efficiency of data assimilation management, but also comprehensively integrate the data processing and analysis tools into GIS development environment. So analyzing the soil moisture assimilation data and accomplishing GIS spatial analysis can be realized in the same system. This system provides basic GIS map functions, massive data process and soil moisture products analysis etc. Besides,it takes full advantage of a spatial data engine called ArcSDE to effeciently manage, retrieve and store all kinds of data. In the system, characteristics of temporal and spatial pattern of soil moiture will be plotted. By analyzing the soil moisture impact factors, it is possible to acquire the correlation coefficients between soil moisture value and its every single impact factor. Daily and monthly comparative analysis of soil moisture products among observations, simulation results and assimilations can be made in this system to display the different trends of these products. Furthermore, soil moisture map production function is realized for business application. | |||
TO cite this article:WANG Di,SHEN Runping. An integrated GIS application system for soil moisture data assimilation[OL].[16 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4603271 |
3. Assessment of phase unwrapping approaches | |||
Fu Tuo,Zhangshubi | |||
Surveying and Mapping Technology 25 April 2011 | |||
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Abstract:With GAMMA software, VC++ and MATLAB coding implementing six kinds of phase unwrapping approaches ,this paper presents the best method for different situations through two sets of experimental results used for analysing and comparing run time and precision. In the plain and alpine area, the best phase unwrapping methods are separately Goldstein branch-cut method and Minimum Cost Network Flow method. | |||
TO cite this article:Fu Tuo,Zhangshubi. Assessment of phase unwrapping approaches[OL].[25 April 2011] http://en.paper.edu.cn/en_releasepaper/content/4423962 |
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