Search

Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to analyze the impact of data uncertainty on the results of fish-index of biological integrity(F-IBI), a F-IBI was constructed based on the historical information and ecosystem characteristics of the surrounding waters of Chongming Island, China. A total of 12 indices related to fish species composition, trophic structure, tolerance, reproductive character, heath conditions and biomass were included in this F-IBI. Fish community information in waters near Chongming Island were collected from surveys in August and November 2020. The F-IBI was used to evaluate the state of ecosystem health of study area. Besides, the effects of survey data uncertainty on the projection of F-IBI for the surrounding waters of Chongming Island were evaluated by computer simulation. Five indices (total number of fish species, percentage of number of pollution sensitive fishes, percentage of number of piscivorous species, percentage of number of adhesive egg fishes and catch per haul per hour) from 12 indices were selected as simulation indices. The effect of single index uncertainty, multiple indices uncertainty and different levels of uncertainty on the final estimation result of F-IBI were evaluated. Results indicated that the F-IBI was in the "poor" grade of the surrounding waters of Chongming Island in August and November 2020. Uncertainty analysis showed that a set of 30% at the coefficient of variance of indices did not affect the evaluation grade of F-IBI, but the score changed to a certain extent.With the increase of index uncertainty, the fluctuation range of the evaluation results of F-IBI increased gradually. The influence strength of each index was related with the position of survey data in the range in the scoring section of F-IBI system. The results of this study emphasize the importance of considering the natural fluctuation range of the evaluation index in the evaluation of F-IBI in waters near Chongming Island. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of China University of Petroleum is the property of China University of Petroleum and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Quality and reliability of geodetic data depend on the size of its uncertainty. In this paper, uncertainty in measurement data is effectivey evaluated based on the theory of measurement uncertain­ty and fuzzy mathematics, A Function model using measurement uncertainty as unknown parameter is established to directly evaluate the uncertainty of survey data, The Fuzzy Entropy Measure is pro­posed as the optimal criterion to solve the function model. A corresponding algorithm is established; Experiemental results and comparisons with the least squares estimation show that the proposed meth­od using a elevation monitoring network data solver is feasible. [ABSTRACT FROM AUTHOR]

Floor response spectrum is the basis for design of structures and equipments in a nuclear power plant (NPP). In current routine of NPP design, deterministic methods are generally employed for computation of floor spectra, in which a proper estimate of loadings and structural parameters, with a good possibility yet conservative, has to be chosen, yielding results difficult to reflect the complicated real situation. To solve this problem, probabilistic and statistical method based on Monte- Carlo simulation is employed in the analyses of floor response spectra of this complicated stochastic system on the dynamic interaction analyses. This procedure can perfectly consider the irregular probabilistic density functions of physical parameters, and obtain floor spectra of different guarantee ratios. Numerical examples show that the numerical results can be used to evaluate the guarantee ratio of results obtained from deterministic analyses, providing better understanding of the safety of NPP designed with conventional deterministic method. [ABSTRACT FROM AUTHOR]