This paper presents the results of detailed geological investigations of the Middle Triassic dolomite deposit of Nikolin Potok, which is located west of Bugojno. Based on the established borders of surface distribution and research results, geological reserves of about 4.6 million m3 have been determined in the wider area of the deposit. The dolomite reserves that have been established so far in this area are at a low level of geological exploration. For this reason, the level of research should be significantly increased, because the calculated and confirmed reserves are very modest compared to the potential possibilities. The paper contains a description of the geological characteristics of the area and the qualitativequantitative characteristics of dolomite. The results of the conducted research point that the general geological and technical-exploitation factors are favorable and indicate profitable exploitation of the deposit in the coming period as well. Taking into account the significant raw material potential, and the possibility of expanding the existing raw material base, this area has a special significance for the perspective development of dolomite exploitation and its use in the production of technical-building stone.

In order to find the optimal solution for the drainage of rainwater from roads in urban areas, as well as for the evaluation and ranking of conceptual solutions, appropriate mathematical models and software packages were used in this research. For relevant rain episodes, i.e. rainfall of appropriate duration and intensity, runoff coefficients and flows were taken into account and analyzed according to the rational method, all for the purpose of obtaining data on the amount of rainwater entering the sewage system. Through this research, very good correlations and regressions were established between the cross slope of the road and the parameters of rainwater drainage from the road, as well as the correlation and regression relationships of the cross slope of the road and the efficiency of the drain. Likewise, the dependences of the drainage parameters, the efficiency of the drains and the cross slope of the road were determined, expressed through mathematical functions.

Risk management throughout the project life cycle, from the initial phase beginning to the final phase, ended continuously and dynamically, is one of the basic requirements for the success of any project oriented organization. To effectively identify and manage risks at all stages of the project, careful selection must be made at all levels of the organization. In some cases, implementing the response may eliminate the risk but reciprocally create additional risks for the project. Most of the available risk selection methods mainly focus on eliminating the primary risks without understanding the secondary and residual risks that may arise during the project implementation. The occurrence of secondary risk can be a direct result of performing an activity that responds to a primary risk. This study proposes an optimization model to select risk response measures for primary and secondary risks. The difference between our proposed method and Zhao method (2018) will be that the proposed one does not lead to selecting a predetermined strategy. This method examines the two dimensions of time and costs in response to primary and secondary risks. In addition, the genetic metaheuristic algorithm has been used to solve the problem in the dimensions mentioned above.