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Posted by: mohamad reza - 04-09-2013, 08:46 AM - Forum: Archive
- No Replies
hello
i request this paper
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"Analytical investigation of response modification (behaviour) factor, R, for reinforced concrete frames rehabilitated by steel chevron bracing"
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A multivariate geostatistical technique is presented to address two key issues of trend detection and network evaluation of acid deposition data. The proposed technique is specifically designed to be compatible with the distinctive characteristics of acid deposition variables such as non-stationary of their spatial means, non-stationary of their spatial covariances, their complex periodic and non-periodic temporal trends, and the common imbalance between the availability of their spatial and temporal data. To accomplish this, the time series at each measurement point is viewed as a separate, but correlated one-dimensional regionalized variable. Each variable is assumed to be a sum of periodic (e.g. seasonal) and non-periodic (e.g. anthropogenic) temporal random variables, each characterized by its own temporal variogram. To obtain an initial estimate of the frequency of the involved periodic trends, direct quadratic spectrum estimation is conducted. Based on fitted direct and cross variograms, various forms of estimation such as co-kriging of non-periodic components can be performed. The estimated time series may then be tested for the presence of long-term trends. In addition, the fitted sill values of any variogram model at different stations form elements of a coregionalization matrix. This matrix may be regarded as the variance-covariance matrix for the particular temporal-trend scale presented by the variogram model. A coregionalization matrix can be used to generate a spatial correlogram. Viewing the estimated integral scale of each spatial correlogram as an indicator of the radius of information-influence of each measurement station, a monitoring network can be evaluated for its adequacy of coverage at different temporal-trend scales. A coregionalization matrix can also be decomposed through principal-component analysis in order to determine any potential spatial groupings and/or to generate regional indicators of changes at different temporal scales.
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Review of Geostatistics in Geohydrology. I: Basic Concepts
Author: ASCE Task Committee on Geostatistical Techniques in Geohydrology of the Ground Water Hydrology Committee of the ASCE Hydraulics Division | Size: 1.5 MB | Format:PDF | Quality:Unspecified | Publisher: J. Hydraul. Eng(ASCE) | Year: 2007 | pages: 612–632 | ISBN: --
Geostatistics offers a variety of tools that can be used in ground‐water estimation problems, including interpolation, integration, and differentiation. This paper introduces the basic concepts of geostatistics and its proposed linear and nonlinear estimation (kriging) techniques. These techniques view a regionalized variable as one of many possible outcomes of a random function. The spatial variability of the natural phenomenon is characterized by covariance or semivariogram functions, which are the central elements in the estimation techniques, known as simple kriging, ordinary kriging, universal kriging, log‐kriging, disjunctive kriging, and indicator kriging. The paper also discusses techniques that have been developed to infer the statistical structure of the variables of interest.
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Review of Geostatistics in Geohydrology. II: Applications
Author: The ASCE Task Committee on Geostatistical Techniques in Geohydrology of the Ground Water Hydrology Committee of the ASCE Hydraulics Division | Size: 1.8 MB | Format:PDF | Quality:Unspecified | Publisher: Journal of Hydraulic Engineering(ASCE) | Year: 2007 | pages: 633–658 | ISBN: --
Geostatistical techniques are useful tools for analyzing the inherent uncertainties of ground‐water systems. These procedures have been applied to a variety of estimation problems in geohydrology. This paper reviews these applications in five major categories, including: (1) Mapping of ground‐water variables, incorporation of relevant information, and space‐time mapping; (2) conditional and unconditional simulations of geohydrological fields; (3) cointerpolation of groundwater variables using the flow equations, and numerical and analytical approaches to estimate cross and direct covariances of these variables based on ground‐water‐flow equations; (4) global and local sampling designs; and (5) geostatistical ground‐water‐management studies. The paper also includes a comprehensive list of geostatistical and related publications in geohydrology.
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Progress in the design of hydrologic-data networks
Author: M. E. Moss; G. D. Tasker | Size: 872 KB | Format:PDF | Quality:Unspecified | Publisher: American Geophysical Union | Year: 1979 | pages: 1298-1306 | ISBN: --
The design of hydrologic-data networks is a topic that previously has not been raised to the status of a separate article in the U.S. National Reports to the International Union of Geodesy and Geophysics. However, three articles (Matalas, 1975; Peck, 1975; Schwarz, 1975) in the 1970–1974 Report considered it significant enough to be included as specific sections. Thus, because of the novelty of this article, some references will be made to work performed prior to the report period of 1975–1978 for the sake of completeness.
The collection of hydrologie data has been perceived as a design problem only within the past few decades. Although some earlier work had been done in the area of precipitation gaging networks, Langbein (1954) presented the first comprehensive description of what needed to be done to manage objectively a hydrologic-data program.
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