|Table of Contents|

R/S statistical method for time series of pollutants in environmental quality assessment

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2013年04期
Page:
647-
Research Field:
Publishing date:

Info

Title:
R/S statistical method for time series of pollutants in environmental quality assessment
Author(s):
Bu Quanmin12Tong Xing12
1.School of Government; 2.Center for Social Risk and Public Crisis Management, Nanjing University,Nanjing 210023,China
Keywords:
environmental quality assessment pollutant concentration time series rescaled range statistical analysis method Hurst index
PACS:
X820.2
DOI:
-
Abstract:
In order to obtain scientific and comprehensive environmental quality assessment conclusion,the time series stochastic volatility of pollutant density is studied here.The complexity of time series change can be quantified through fractal analysis,and the rescaled range statistical analysis method(R/S)is used to obtain the fixed value of pollutants concentration which is regarded as the value of pollutants in environmental quality assessment.Three methods are proposed for the calculation of Hurst index:(1)the same point method;(2)step average method;(3)dislocation average method.The statistical regularity of dislocation average method of R/S statistical method of pollutant concentration time sequence is the best regularity from the three kinds of methods of graph.A contrast research is finished.The research results show that the dislocation average R/S method is suitable for obtaining Hurst index.

References:

[1] 李俊霞,苏春利,谢先军,等.多元统计方法在地下水环境研究中的应用[J].地质科技情报,2010,29(6):94-100.
Li Junxia,Su Chunli,Xie Xianjun,et al.Application of multivariate statistical analysis to research the environment of groundwater[J].Geological Science and Technology Information,2010,29(6):94-100.
[2]徐跃,朱彬,刘卓谞,等.时域内污染物浓度的统计学指标评价方法研究[J].环境工程,2011,29(6):260-263.
Xu Yue,Zhu Bin,Liu Zhuoxu,et al.Evaluation method of pollutants concentration in time domain by statistical indications[J].Environmental Engineering,2011,29(6):260-263.
[3]罗畏,邹峥嵘.空间统计分析的环境质量评价应用[J].测绘科学,2012,37(4):32-34,60.
Luo Wei,Zou Zhengrong.Application of spatial statistical analysis in environmental quality assessment[J].Science of Surveying and Mapping,2012,37(4):32-34,60.
[4]Willems P.A time series tool to support the multi-criteria performance evaluation of rainfall-runoff models[J].Environmental Modelling and Software,2009,24(3):311-321.
[5]Fensholt R,Rasmussen K,Nielsen T T,et al.Evaluation of earth observation based long term vegetation trends—Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS,Terra MODIS and SPOT VGT data[J].Remote Sensing of Environment,2009,113(9):1886-1898.
[6]牛奉高,刘维奇.分数布朗运动与Hurst指数的关系研究[J].山西大学学报(自然科学版),2010,33(3):380-383.
Niu Fenggao,Liu Weiqi.Relations of fractional Brownian motion and Hurst exponent[J].Journal of Shanxi University(Natural Science),2010,33(3):380-383.
[7]朱罡,程胜高,蔡俊雄.基于分形理论的生态环境影响评价范围定量研究[J].环境科学与技术,2006,29(3):33-34,57. Zhu Gang,Cheng Shenggao,Cai Junxiong.Quantitative study on scale of eco-environment impact assessment based on Fractal Theory[J].Environmental Science and Technology,2006,29(3):33-34,57.
[8]Marr L C,Harley R A.Spectral analysis of weekday-weekend differences in ambient ozone,nitrogen oxide,and non-methane hydrocarbon time series in California[J].Atmospheric Environment,2002,36(14):2327-2335.
[9]Webster P J,Holland G J,Curry J A,et al.Changes in tropical cyclone number,duration,and intensity in a warming environment[J].Science,2003,309(5742):1844-1846.
[10]王海云,王振华.遥感与分形理论在确定水利工程生态环境[J].水利水电科技进展,2011,31(6):62-65,73.
Wang Haiyun,Wang Zhenhua.Application of remote sensing and fractal theory in determining evaluation scope of eco-environmental impact of water[J].Advances in Science and Technology of Water Resources,2011,31(6):62-65,73.

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Last Update: 2013-08-31