The problem of estimation of the long-term environmental noise hazard indicators and their uncertainty is presented in the present paper. The type A standard uncertainty is defined by the standard deviation of the mean. The rules given in the ISO/IEC Guide 98 are used in the calculations. It is usually determined by means of the classic variance estimators, under the following assumptions: the normality of measurements results, adequate sample size, lack of correlation between elements of the sample and observation equivalence. However, such assumptions in relation to the acoustic measurements are rather questionable. This is the reason why the authors indicated the necessity of implementation of non-classical statistical solutions. An estimation idea of seeking density function of long-term noise indicators distribution by the kernel density estimation, bootstrap method and Bayesian inference have been formulated. These methods do not generate limitations for form and properties of analyzed statistics. The theoretical basis of the proposed methods is presented in this paper as well as an example of calculation process of expected value and variance of long-term noise indicators LDEN and LN . The illustration of indicated solutions and their usefulness analysis were constant due to monitoring results of traffic noise recorded in Cracow, Poland.

This paper presents the verification of two partial indices proposed for the evaluation of continuous and impulse noise pollution in quarries. These indices, together with the sound power of machines index and the noise hazard index at the workstation, are components of the global index of assessment of noise hazard in the working environment of a quarry. This paper shows the results of acoustic tests carried out in an andesite quarry. Noise generated by machines and from performed blasting works was investigated. On the basis of acoustic measurements carried out in real conditions, the sound power levels of machines and the phenomenon of explosion were determined and, based on the results, three-dimensional models of acoustic noise propagation in the quarry were developed. To assess the degree of noise pollution in the area of the quarry, the continuous and impulse noise indices were used.

Five non-classical models of interval estimation based on the bootstrap resampling method are compared in this paper.The non-classical models do not have to assume belonging of random sample to normal distribution. Theoretical basis of the proposed models is presented and an example of calculation process which makes possible determining confidence intervals of the expected value of long-term noise indicators L DEN and L N .The statistical analysis wascarried out for 95% interval widths obtained by using each of these models. The inference of their usefulness wasperformed on the basis of results of non-parametric statistical tests at significance level α = 0.05. The data used to illustrate the proposed solutions and carry out the analysis were results of continuous monitoring of trafficnoise recorded in 2009 in one of the main arteries of Krakow,Poland.

In the process of environmental noise hazards assessment besides estimation of uncertainty measurement of control results there should be made errors analysis related to estimation processes to long-term noise indicators. the condition of correct quantification of uncertainty budget components in the control process is using proper analysis method. The problem rest on determining density function of probability distribution of long-term noise indicators. in order to several conditioning characteristic for the problem it can not be to solved by classic estimation analysis applied in statistical researches, without different reservations. There was formulated the estimation idea of seeking density function of long-term noise indicators distribution by bootstrap method, which does not generate limitations for form and properties of analyzed statistics. There was presented theoretical basis of the proposed method, and the example of calculation process which make possible determining searching estimators of expected value and variance of long-term noise indicators LDEN and LN. The illustration for indicated solutions and usefulness analysis was continuous monitoring results of a traffic noise recorded on one of the main arteries of Kraków.

The civilisation progress has caused noise to become one of essential pathogenic and life comfort decreasing factors. There are several legal regulations aimed at controlling the noise influence on humans. Assessment of the twenty-four-hour influence of noises in various environments constitutes an essential problem. The answer can be supplied by 24-hour monitoring of the sound pressure. This paper is an attempt to learn the real loading of humans by noises. A personal noise indicator was used in measurements. The human 24-hour activity was divided into cycles allowing to model noise hazards. The collected data, even though they did not signal exceeding of individual standards, in the 24-hour period indicated the essential noise influence. These results indicate the need of investigations to recognise the 24-hour noise load of a human, with taking into account various forms of their activity and the need of rest.