JSC Institute Hydroproject

At present earth dams are, on an ever increasing scale, built of weak and weathered rock. Its utilization as a rule gives a big economic effect. When excavating and compacting such a rock, inequagranular material is formed which, depending on its grain size distribution, can be placed in impervious dam elements or dam shells.

The changes in the definition of the terms of roughness parameters Rz and Rmax are analyzed. Recommendations are given on the use of modified roughness parameters in production, the need to revise the ratios presented in GOST R 70117–2022 and develop guidelines for the implementation of changes no. 2 GOST 2789–73 and no. 1 GOST 25142–82 is justified.

In the highly competitive tourism industry, management is prepared to tackle competition through continuous infrastructure development and the addition of supporting facilities. They have also readied skilled human resources. Marketing strategies such as billboard placement, brochure distribution, and banners have been implemented to attract more tourists to Pengging. Facilities are added to enhance visitor comfort, making this research well-suited for qualitative methods. Developing tourist destinations using a spatial approach should consider regional characteristics in policy formulation. Limited research exists on this topic in Indonesia, making this study potentially valuable for government tourism planning. It aims to assess Pengging's potential, attractiveness, and development plan, using SWOT analysis based on geographical, demographic, socio-cultural, economic, and infrastructure indicators. The conclusions suggest managing visitor centers, enhancing tourism products, environmental management, visitor capacity, marketing, human resources, institution development, and spatial planning for Pengging tourist attraction area. This study provides spatial analysis-based recommendations for the development of Pengging tourism as a regional flagship destination. The study is unique in its integration of spatial approaches and local potential analysis, which have rarely been applied before. The findings are valuable for supporting sustainable tourism management strategies, enhancing tourism appeal, boosting the local economy, and promoting environmental conservation.

This paper describes an algorithm for simultaneous calibration of several groundwater flow planar models. Permeability properties and boundary conditions are considered as the calibration parameters. A special procedure that runs each model sequentially has been developed. The resulting calculated levels by piezometers for each model are transferred by a PEST module. The PEST module uses this and estimates the sensitivity of the model (models) to the parameter values and then iteratively selects parameters so that they satisfy the convergence criterion.

<strong class="journal-contentHeaderColor">Abstract.</strong> Central Asia is an area characterized by complex tectonics and active deformation; the related seismic activity controls the earthquake hazard level that, due to the occurrence of secondary and tertiary effects, has also direct implications on the hazard related to mass movements as landslides, which are responsible for an extensive number of casualties every year. Climatically, this region is characterized by strong rainfall gradient contrasts, due to the diversity of climate and vegetation zones. The region is drained by large, partly snow- and glacier-fed rivers, that cross or terminate in arid forelands; therefore, it is affected also by a significant river flood hazard, mainly in spring and summer seasons. The challenge posed by the combination of different hazards can only be tackled considering a multi-hazard approach harmonized among the different countries, in agreement with the requirements of the Sendai Framework for Disaster Risk Reduction. This work was carried out within the framework of the SFRARR Project (&ldquo;<em>Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia</em>&rdquo;) as a part of a multi-hazard approach, and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. To this aim the most detailed landslide inventories, covering both national and transboundary territories were implemented in a Random Forest model, together with several independent variables. The proposed approach represents an innovation in terms of resolution (from 30 to 70 m) and extension of the analysed area with respect to previous regional landslide susceptibility and hazard zonation models applied in Central Asia. The final aim was to provide a useful tool for land use-planning and risk reduction strategies to landslide scientists, practitioners and administrators.