This paper presents and analyses the results of a simulation of the acoustic field distribution in sectors of a 1024-element ring array, intended for the diagnosis of female breast tissue with the use of ultrasonic tomography. The array was tested for the possibility to equip an ultrasonic tomograph with an additional modality - conventional ultrasonic imaging with the use of individual fragments (sections) of the ring array. To determine the acoustic field for sectors of the ring array with a varying number of activated ultrasonic transducers, a combined sum of all acoustic fields created by each elementary transducer was calculated. By the use of MATLAB software, a unique algorithm was developed, for a numerical determination of the distribution of pressure of an ultrasonic wave on any surface or area of the medium generated by the concave curvilinear structure of rectangular ultrasound transducers with a geometric focus of the beam. The analysis of the obtained results of the acoustic field distribution inside the ultrasonic ring array used in tomography allows to conclude that the optimal number of transducers in a sector enabling to obtain ultrasound images using linear echographic scanning is 32 ≤ n ≤ 128, taking into account that due to an increased temporal resolution of ultrasonic imaging, this number should be as low as possible.

The problem of flood vulnerability has been reviewed in several studies, however, the reviews focused exclusively either on the social or on the physical component of the problem. The components of flood vulnerability are interdependent and each of them makes an equally important contribution to the flood vulnerability index. This study identifies and evaluates the integrated flood vulnerability index ( FVI) of an area by considering its multiple components (social, economic, and environmental). The Analytic Hierarchy Process (AHP) method was applied to evaluate the weight of each component. The evaluation was based on the judgements of experts working at local government policy- making agencies. The input data for the AHP were acquired through a questionnaire survey. Eleven indicators that delivered significant results were then selected. The FVI results show high flood vulnerability at the local scale. The FVI provides the basis for the identification of villages with high vulnerability indices. The results provide essential information about pluvial flood vulnerability at the local scale, about the area with the highest vulnerability index, and the most vulnerable villages. The results also show that the components that have a significant impact on the flood vulnerability index include environmental components (43.4%), social components (28.5%), and physical components (28.1%).